The Defensive Expansion Approach to Multinational Banking: Evidence to Date
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The Defensive Expansion Approach to Multinational
Banking: Evidence to Date
by Barry Williams*
This paper integrates the defensive expansion hypothesis in multinational bankingwith the internalisation approach to the multinational enterprise. This framework isthen used to structure a review of the literature to date regarding the proposition thatmultinational banks follow their clients abroad, otherwise called the defensiveexpansion hypothesis. Both theoretical and empirical issues relevant to the study ofthe defensive expansion hypothesis are canvassed. The paper concludes that thedefensive expansion hypothesis is best modelled using firm level data, and thatinvestment measures are a preferred proxy for following clients. Furthermore, studiesconsidering the defensive expansion hypothesis should control for the effects ofparent firm size and economic cycles. The paper concludes that defensive expansionincreases multinational size, but has little impact upon multinational bank profits.There is some evidence that defensive expansion impacts upon the type of organi-sational form adopted by the multinational bank in the host nation.
I. INTRODUCTION
That banks follow their clients abroad is the most pervasive proposition in
multinational banking. This proposition is so omnipresent that it has been
termed the conventional hypothesis (Sabi, 1995). As such, a complete discussion
of both the theory and evidence relating to this hypothesis is relevant in an era of
increased globalisation of financial services. As argued by Seth et al. (1998), the
motives for cross border expansion by banks, and their subsequent performance,
are of interest to bankers, rating agencies and regulators, as well as being the
subject of academic inquiry. Thus, a comprehensive review of the literature that
considers the defensive expansion hypothesis is of value from a number of
perspectives. In particular, integration between the theory of the multinational
enterprise, the defensive expansion hypothesis and the empirical evidence to date
is currently lacking. One of the objectives of this paper is to rectify this gap in the
literature. As argued by Graham and Krugman (1994), the pattern of foreign
direct investment (FDI) in the banking industry differs from that of other
industries. Thus, there is a need to develop an appropriate interface between
theory and empirical evidence to ensure that correct inferences are drawn from
any empirical results. The need to ensure that theory and evidence relating to
*I am grateful for comments from John Foster, Ian Zimmer, Noel Gaston, Art Goldsmith andan anonymous referee. All remaining errors remain the responsibility of the author.
Financial Markets Institutions & Instruments, V. 11. No. 2, May 2002 Ó 2002 New York UniversitySalomon Center, Published by Blackwell, Publishers, 350 Main St., Malden, MA 02148, USA, and 108Cowley Road, OX4 IJF, UK.
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multinational banking are well integrated is reinforced by the observation of
Khoury (1997), that the 1990s did not witness the development of any new
theories. Thus, there is a need to ensure that the current body of theory is
thoroughly examined.
Further, this paper will provide a critical review of the empirical studies to
date. This critical review will provide a forum for discussion of the current state
of the literature regarding the defensive expansion hypothesis, while also
providing a basis from which further research can be directed. To date, the
empirical literature that has considered the defensive expansion hypothesis has
lacked a coherent theme. By integrating the evidence as it stands within the
internalisation theory of the multinational enterprise, this paper will provide a
coherent theme to discuss previous results. This coherency will also provide a
framework within which to review the current evidence. This paper will also
consider the issues relevant to empirically modeling the defensive expansion
hypothesis. In particular, the issue of whether trade or investment measures are
the most relevant proxy for defensive expansion will be addressed, as well as
other empirical issues.
This paper will also integrate the taxonomic issues associated with the
delineation between international banking and multinational banking in the
context of the theory of the multinational enterprise. This integration will aid in
the interpretation of some empirical results that may appear contradictory at
first inspection. By addressing this issue the paper will be able to consider the
role defensive expansion has in the substitution between providing international
banking services from the home nation (international banking) and providing
international banking services from the host nation (multinational banking).
This paper is structured as follows; first it will be argued that the study of the
multinational bank should be conducted within the framework provided by the
theory of the multinational corporation. Further, the paper will argue that
internalisation theory provides the framework that allows a coherent unification
of theory with observed outcomes. The second section will discuss the defensive
expansion hypothesis within the framework provided by internalisation theory.
This paper will argue that banking is an industry where information is a key
intermediate product. Buckley and Casson (1991) and Williams (1998) argue
that multinational banking is an industry best discussed within the theoretical
framework provided by internalisation theory due to the importance of
information as a key intermediate product. The third section will discuss the
empirical literature regarding defensive expansion in multinational banking. The
final section will discuss directions for further research.
II. THE MULTINATIONAL ENTERPRISE AND MULTINATIONAL
BANKS
Developments in multinational banking have resulted in banks owning and
controlling activities in geographical locations that are removed from the
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ostensible location of that activity.1 Eurobanking produces loans to foreign
entities, denominated in foreign currencies, without the lender leaving its home
nation.2 Seminal studies of the multinational enterprise emphasised the
ownership of assets physically present in a foreign country, particularly in the
manufacturing industries.3 Extending the study of the multinational firm to
circumstances where a physical presence is not required for multinationality is
consistent with a broader definition of the multinational enterprise. Such a
definition is the operational definition of multinationality. The operational
definition considers multinational firms as those that own and control
undertakings in different countries (Buckley and Casson, 1991).4
Edwards (1975) considered participation in the Euromarkets to be multina-
tional banking. Aliber (1977) expanded the definition of multinational banking
to include both Euromarket activity and traditional foreign banking. Tradi-
tional foreign banking was classified as competing with the incumbent domestic
banks in the provision of banking services. Robinson (1972, p. 4) provided a still
broader definition of multinational banking: ‘‘...operating a bank in and
conducting banking operations that derive from, many different countries and
national systems.’’ However, this classification is so broad that it includes
banking activity that can be offered from purely domestic locations, such as
foreign exchange trading and portfolio diversification (Lewis and Davis, 1987).
This paper shall adopt the definition provided by Lewis and Davis (1987, p. 248);
‘‘Multinational banking embraces both the Eurocurrency banking activities of
foreign banks and their banking in host country currencies.’’ This closely follows
the operational approach of Buckley and Casson (1991). It is also consistent
with that provided by Casson (1990, p. 14): ‘‘A multinational bank (MNB) is
simply a bank that owns and controls banking activities in two or more countries.’’
Conformity of the definitions employed for multinational firm versus
multinational bank is important. If a restrictive definition of multinational firm
is employed, the outcome is likely to be a limitation of analysis to those activities
that characterise the international bank rather than the multinational bank. The
distinction between international bank and multinational bank is an important
one, as many international banking operations can be provided without a bank
achieving multinational status. Activities that are international, but not
necessarily multinational, include trading in foreign currencies, the provision
1 As an example, foreign banks can lend to U.S. customers from overseas locations and entirelyescape U.S. regulation (Baer, 1990).2 See, for example, Lewis and Davis (1987), page 221.3 As an example; Kindleberger (1969).4 Aharoni (1971) has offered additional approaches toward multinationality. These are thestructural approach, the performance criteria method and the behavioural approach. Under thestructural approach, firms are considered multinational if they organise the firm on the basis ofcountries or regions. Under the performance criteria approach, firms are multinational if theymeet some measure of multinationality. The behavioural approach classifies firms as multina-tional if they think internationally. Various problems and advantages accompany each of thesefour approaches.
The Defensive Expansion Approach to Multinational Banking 129
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of trade finance and ownership of securities issued by foreign firms. Thus
reference to the appropriate definition of the multinational firm is an important
first step in correctly classifying banks as multinational versus international.
There are three economic functions of multinational banks (Davis and Lewis,
1982). First, multinational banks mismatch assets and liabilities across curren-
cies. The currency preferences of borrowers are not necessarily identical to those
of savers, and multinational banks resolve these preferences. Second, multina-
tional banks transform preferences across borders. The final function is that of
transforming the maturity of deposits into the preferred maturity of borrowers.
This is a core function of banks, and of most financial institutions. The role of
multinational banks in this context has been the subject of some examination;5
however, that issue will not be explored in this paper. It should be noted that
some multinational banks do not provide all of these services. Some multina-
tional banks will restrict their Eurobanking to a single currency, and so will not
offer the first of these economic functions. Other multinational banks will
confine their activities to providing intermediation in each host nation, without
actively transferring funds between their different national locations, and so will
not provide the second of these services. In some cases multinational banks will
confine their operations to the third of these functions, maturity transformation.
The theory of the multinational enterprise and the related theories of
multinational banking have evolved to explain why multinational banks offer
these transactions services via a direct presence rather than by using the open
market.6 Such theories also provide insights as to why some multinational banks
do not provide all of the functions listed above.
III. DEFENSIVE EXPANSION
Development of Defensive Expansion Theory
The following client phenomenon has occurred over a prolonged period.
Brimmer and Dahl (1975) first integrated defensive expansion into the
contemporary multinational banking literature. This application was initially
the discussion of the impact of specific regulations upon the incentive for U.S.
banks to expand offshore. Brimmer and Dahl (1975) argued that the restrictions
imposed by the Interest Equalisation Tax (IET) and the Voluntary Foreign
Credit Restraint Program (VFCRP) hampered the ability of U.S. banks to fulfil
the offshore requirements of existing clients, particularly those with subsidiaries
overseas. By expanding to overseas locations, particularly London, and
providing offshore facilities via the Euromarkets, the impact of the IET and
VFCRP could be mitigated.7 Grubel (1989) later argued that escape from
5 See for example, Hewson (1975), Niehans and Hewson (1976).6 Williams (1997) provides a detailed discussion of the relationship between the theories of themultinational enterprise and theories of multinational banking.7 See also Terrell, Dohner and Lowrey (1990).
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regulation imposed externalities that were also relevant for multinational
banking in the context of tax evasion and reserve requirements. Brimmer and
Dahl (1975) argued that the banks were acting to internalise, in a Coasian sense,
their existing bank–client relationship before this relationship was taken over by
a bank not restricted by the IET and VFCRP.
Fieleke (1977) and Grubel (1977) expanded the initial regulatory focus of
Brimmer and Dahl (1975) to a more general principle. The knowledge that a
bank gains during the bank–client relationship is not cost free. However, when
the client expands offshore this existing knowledge can be applied to the
client’s offshore operations at low marginal cost (Grubel, 1989).8 These lower
marginal costs are the result of economies of scope (Rugman and Verbeke,
1993). As argued by Rugman and Verbeke (1993), economies of scope are
more important than economies of scale for multinational banks as economies
of scope are more attainable. Additionally, the long-term bank–client
relationship has value for the bank. As a consequence, the bank will adapt
its location mix of branches, both domestically and internationally, in order to
ensure that the bank-client relationship is kept intact. The bank–client
relationship is a component of a bank’s franchise value (Demsetz et al.
1996), and as such banks are willing to alter the nature of their operations to
retain this franchise value.
The Central Role of Information Flows
Ownership of the information flows embodied in the bank–client relationship is
the main asset of a bank (Llewellyn, 1996). The knowledge capital embodied in
this franchise value is difficult to sell in the market. As a result, the bank cannot
elect to service its existing clients overseas by exporting information to banks in
the host nations. This client knowledge has been termed commercial intelligence
(Gray and Gray, 1981; Miller and Parkhe, 1998). This term provides increased
insight into the lack of an external market for this information. This lack of an
external market is due to the market for client information failing to reach an
equilibrium price. There are two components to this failure to achieve a market-
clearing price for the bank’s client-specific knowledge capital. The first is that the
existence of information asymmetry results in the bank being unable to achieve
what it considers a fair price for client specific information (Grubel, 1977). The
second is that the sale of client-specific information to another bank is likely to
result in the new bank pre-empting the existing bank–client relationship. It is
this fear of losing existing bank–client relationship to a competitor bank that
results in banks accompanying their clients abroad. As argued by Kindleberger
(1983), defensive expansion is not necessarily aimed at generating profits in the
new region, but is instead aimed at preventing losses at a pre-existing location.
8 This lower marginal cost particularly relates to evaluation of loan proposals. Grubel (1989)argued that this motivation was particularly important for multinational service banking.
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However, Caves (1977) considered the banks’ clients will also face transactions
costs when changing banks. Thus, it is not completely clear that banks will
always accompany their clients abroad, as there are alternative mechanisms to
provide banking services across borders. These alternative mechanisms, such as
correspondent banking and representative offices, do not always imply a
transaction-based presence.
The central role of information in the defensive expansion hypothesis is
consistent with both the eclectic and internalisation approaches to the
multinational enterprise.9 Khoury (1979) argued that the bank’s willingness to
adjust its location strategies in response to client behaviour implies an internal
market for client information. The internalisation of information was considered
by Rugman (1981) to be the principal advantage of the multinational bank. This
information becomes, within the firm, a public good, best exploited via foreign
direct investment (Buckley and Casson, 1991). Casson (1990) highlighted the
role of personal contact in multinational banking. There are limited opportu-
nities for creation of monopolies in multinational banking as the products do
not lend themselves to protection via patents (Dufey and Giddy, 1981), and
expertise can be hired away from innovating banks by paying the appropriate
wage (Merrett, 1990). In this context, personal contact via a network of
branches collecting and processing information, and an established infrastruc-
ture of skills, becomes a key asset specific to the multinational bank.
Internalisation gives a central role to market failure, particularly in intermediate
products (Casson, 1995). Information is a key intermediate product for
multinational banking. Information is also a product for which it is difficult
to develop a well-functioning market. As a result, banking is an industry in
which transactions cost reduction via internalisation of intermediate products is
a natural outcome. Thus, any bank wishing to exploit its comparative
advantages globally will expand via internalisation rather than trading its key
products. The result is the development of multinational banking rather than a
market for client information. Barron and Valev (2000) illustrated the
importance of information in international banking by U.S. banks. It was
argued that larger (wealthier) banks have advantages in the purchase of
information, which is central to the decision to invest offshore.10 Within the
context of defensive expansion theory, the argument of Barron and Valev (2000)
translates into the contention that larger banks (with larger client bases) will be
more able to exploit that advantage generated by their knowledge base and so
expand offshore. A later section will discuss the empirical implications of this
issue.
9 The role of these two paradigms within the context of multinational banking is discussed inWilliams (1997).10 Barron and Valev (2000) used Granger causality to find that smaller banks tend to follow theinternational banking activity of larger banks.
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The rise of listed rather than family-owned firms accentuated the need for
information collection and collation networks, due to increased demands for
delegated monitoring of large projects. The increased size of projects that
accompanied the rise of the listed firm resulted in an increased need to monitor
debt-funded non-banks. As debt funded non-banks moved abroad, so the need
for co-located monitoring also increased. This need is best met by establishing a
physical presence close to the client. Via co-located monitoring, the multina-
tional bank is both protecting (internalising) its bank-client relationship, while
also protecting its interests as the provider of debt funds to large clients.
Information and monitoring costs are significant reasons for many multina-
tional corporations, including multinational banks, to choose direct investment
rather than licensed production (Ruffin and Rassekh, 1986). The central role of
information flows in defensive expansion theory means that it is best considered
within the structure offered by internalisation theory. In industries where
information is a key intermediate product, the incentives to develop an internal
market are the greatest (Williams, 1997). This internal market can be best
exploited via foreign direct investment, thus resulting in multinationality
(Buckley and Casson, 1991). As discussed below, multinationality of banking
does not necessarily arise as a result of expansion from domestic base. Thus
internalisation theory provides an internally consistent structure within which to
discuss empirically testable theories such as the defensive expansion hypothesis
(Williams, 1997).
Defensive Expansion: A Historical Perspective
Economic historians such as Jones (1993a and 1993b) observed that British
multinational banking in the nineteenth century followed the pattern of British
imperial expansion. The transactions costs of using existing markets to serve
the needs of multinational clients were observed to be high relative to the
transactions costs of establishing British-style banks in the host nation. Jones
(1993a and b) also observed that the pattern of nineteenth century multinational
banking differed from that observed post-World War Two. In the first phase of
true multinational banking, the nineteenth century, the British multinational
banks were formed exclusively to provide banking services outside Britain, with
no equity links to domestic British banks, and no domestic banking business.
These multinational banks were also observed by Jones (1993 a and b) to behave
somewhat differently to the modern multinational bank, in that they were
characterised by geographical specialisation rather than geographical diversifi-
cation. As stated by Jones (1993a, p. 32) ‘‘Finance of international trade was the
core business of overseas banks.’’ These activities were strongly, but not
completely, linked to British overseas investment. As pointed out by Jones
(1993b), international banking has a long history, but multinational banking, in
a form that is recognisably within the spirit of the previous section, is a relatively
modern phenomenon.
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The second recognisable phase of multinational banking was post-World War
Two, which saw a relative decline of British multinational banks and the rise
of U.S. multinational banks.11 Jones (1993b) argued that it was the trade focus
of the British banks that made it difficult for them to cope with the new world of
multinational banking that arose in the 1960s. Jones (1993a) argued that a lack
of flexibility by the British banks and reduced receptiveness of the host nations
contributed to this decline.12 Post-World War Two multinational banking was
initially dominated by the expansion of domestic U.S. banks into multination-
ality. This was a different pattern of multinationality than observed for the
British banks. As observed by Jones and Wale (1998), British MNCs of the pre-
World War Two era were usually established to undertake offshore investment,
in contrast to U.S. MNCs of the same era, which usually grew out of established
domestic companies. The initial dominance of post-World War Two multina-
tional banking by the U.S. banks is also reflected in the state of the literature to
date. Many of the studies to date have a focus upon the expansion of U.S. banks
offshore, or upon foreign banks expanding into the United States.13 It is this
U.S. focus that has resulted in Grubel (1989) arguing that once a bank has
expanded to the fullest possible domestic extent, it then must expand overseas.
Overseas expansion maximises the returns from those assets that cannot be
sold due to market failure, such as information about a particular client. As
discussed in Williams (1997), this approach toward multinational banking owes
its origins to eclectic theory (Dunning, 1973, 1977). However, as illustrated by
the above discussion, multinational banks can exist without a domestic base,
thus the theoretical underpinning of multinational banking is most appropri-
ately drawn from internalisation theory (Buckley and Casson, 1991; Williams,
1997). Internalisation theory provides a general theory of the multinational
enterprise. Specific theories such as defensive expansion provide the bridges
between the general theory and the observed empirical relationships. The
multinational is a mechanism via which transactions costs (in a Coasian sense)
are internalised, and defensive expansion theory provides an empirically testable
hypothesis that is consistent with the general framework.
While sharing some elements with eclectic theory, Berger et al. (2000) have
also provided a framework that allows defensive expansion theory to be placed
within a wider context. Berger et al. (2000) developed two hypotheses, the home
field advantage and the global advantage hypothesis. These hypotheses were
developed within the specific context of observed differences in efficiency
between domestic and foreign banks. The home field advantage hypothesis
argues that the foreign banks face various disadvantages when entering a new
11 As noted by Cho et al. (1987), the following clients effect was particularly apparent in thisera, especially post-1971 for foreign banks in the U.S.12 This reduced receptiveness can be particularly linked to the decline of the British Empire.13 This paper will demonstrate that there are more non-U.S. studies than the single study listedby Molyneux and Seth (1998). See Tables 1 and 2, this paper identifies a total of 22 papers thatconsider multinational banking from a non-U.S. perspective.
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market, and that these disadvantages explain why foreign banks are observed to
be less efficient than domestic banks. This approach has common ground with
the claim of eclectic theory that multinational banks need to own a market
advantage in order to compete with incumbent firms which possess a home field
advantage (Williams, 1997, p. 81). Hymer (1976) first proposed this argument in
1960, and Kindleberger (1969) adopted the theme that foreignness is a liability.14
Within the framework proposed by Berger et al. (2000) the home field advantage
hypothesis provides an explanation for the observed superior efficiency of
domestic banks over their foreign competitors.15 The alternative hypothesis to
the home field advantage is the global advantage hypothesis. The global
advantage hypothesis has two facets, the general form and the limited form.
Under the general form, efficient multinational banks are able to overcome the
incumbent advantages of domestic banks. The limited form of the global
advantage hypothesis argues that only those multinational banks with a firm-
specific or nation-specific advantage are able to overcome the incumbency of
domestic banks. One example of a firm or nation specific advantage is the bank’s
existing client base. Thus the defensive expansion hypothesis provides a
theoretical example of a limited global advantage. As argued above, such an
argument should be positioned within the context of internalisation theory. As
such, ownership of an asset that gives rise to the limited form of the global
advantage hypothesis would be due to market failure resulting in the owning
bank being unable to sell this asset (or only the offshore aspects of the asset). As
a result the bank chooses to exploit the benefits that arise from this asset by
multinational expansion.
Time Series Issues in Defensive Expansion
As argued by Fieleke (1977), following clients abroad may in fact establish a
beachhead from which the multinational banks expand to compete with the
incumbent bank in providing banking services to host nation non-banks. The
beachhead argument instils the defensive expansion hypothesis with a potentially
valuable dynamic as well as a static application. Seth and Quijano (1993) argued
that the beachhead approach explained the behaviour of Japanese banks in the
United States, although an empirical model was not estimated. Terrell (1993)
drew similar conclusions for foreign banks of all nationalities in the United
14 Tschoegl (2000) also discusses the liability of foreignness for a multinational bank, within thecontext of the modern features of cross border transactions. Tschoegl states that some banks donot actively seek to overcome this liability and are instead content to confine their dealings inthe host nation to home nation clients.15 Berger et al. (2000) find results that reject the home field advantage and support the limitedform of the global advantage hypothesis. The study found that when nationality of origin iscontrolled for, U.S. banks in a foreign nation are often more efficient than the domestic banks.Using a different approach Leveen and Praveen (1994) also found that performance of foreignbanks in the U.S. (as measured by financial ratios) is related to the structure of the parent bank.
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States. Damanapour (1991) suggested that the beachhead approach to defensive
expansion is particularly important for smaller banks. The relationship between
firm size and defensive expansion has neither been considered empirically, nor
received substantial attention in the subsequent literature.16 The beachhead
argument provides a dynamic perspective to the defensive expansion hypothesis.
This dynamic perspective has, to date, received limited attention in the literature,
with the majority of the literature emphasising a static perspective.
Sabi (1995) explored the dynamic versus static issue. As Sabi (1995) observed,
correlation between multinational banking and trade and investment flows can
have four explanations. The first explanation is that the presence of multina-
tional corporations (MNCs) causes the entry of multinational banks (MNBs),
consistent with the defensive expansion arguments. The second explanation is
consistent with Kindleberger (1983), who argued that the presence of MNBs
causes the entry of MNCs. The third explanation is that MNB and MNC
activities are causally independent. The fourth explanation is that there is a
mutual causation between MNCs and MNBs and it is not possible to determine
the sequence of causation. To date it has not been entirely possible to distinguish
between the alternative explanations of the observed correlation between various
measures of multinational banking and defensive expansion proxies.17
Criticisms of Defensive Expansion Theory
The argument that banks follow clients abroad has been criticised by Aliber
(1984). As discussed by Sabi (1995),18 there is likely to be mutual causation
between MNCs and MNBs. Following the arguments presented earlier in this
paper, multinational banks can be considered as an industry-specific example of
multinational corporations. As argued by Aliber (1984), the factors that resulted
in multinational corporations from one country expanding into the host nation
may also explain why multinational banks from the same nation expand into the
same host nation. Thus, an omitted explanatory variable may provide an
explanation for the observation of defensive expansion behaviour by multina-
tional banks. Such possibilities include home market regulation, market growth,
and host receptiveness.
Defensive expansion theory does have flaws in that it does not analyse the
costs of international expansion. The role capital plays in international
16 Seth et al. (1998) and Molyneux and Seth (1998) included in their model a series of dummyvariables representing foreign bank size, and a number of studies have included a foreign banksize measure (Tschoegl, 1983; Giddy, 1983; Ursacki and Vertinsky, 1992). However, theinteraction between foreign bank size (in either the host or home markets) and defensiveexpansion measures have not been considered. The recent paper by Barron and Valev (2000)also demonstrates the importance of size in cross border expansion by banks.17 As will be discussed later in this paper, this issue has been addressed by Thornton (1992),Sabi (1995), Williams (1998a & 1998b) and Seth et al. (1998).18 Buch (2000) also considered this issue and stated that FDI measures may be endogenousrather than exogenous to multinational bank activity.
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expansion is also not considered. International expansion should only be
undertaken when the expected marginal cost of expansion does not exceed the
expected marginal gain. This theory can be regarded as a specific application of
the general theory of internalisation. In this case, the bank is investing offshore
to internalise its existing contractual and information relationships. Defensive
expansion is at best a partial explanation of why banks become multinationals,
with its emphasis upon the location decision of multinationality. However, other
special theories need to be employed to explain issues such as cost of capital and
why one bank from a nation will become multinational, while another will not.
As argued by Williams (1997), such theories should be drawn from a market
failure perspective, with an emphasis upon Coasian transactions costs.19
IV. EMPIRICAL APPLICATION OF DEFENSIVE EXPANSION THEORY
Following Trade or Investment?
While defensive expansion theory argues that banks follow their clients offshore,
it does not clarify which aspect of the client’s activities result in multinational
banking. The result has been that a number of empirical proxies for offshore
expansion have been applied when testing the defensive expansion hypothesis.
The alternative proxies can be classified into two general groups; (i) those that
consider direct investment from the home nation to the host nation; and (ii)
those that consider trading relationships. Table 1 details those studies that have
used investment measures when studying defensive expansion, while Table 2
details those studies that have employed trade measures. Those using direct
investment measures are assuming that direct investment in the host country
leads to a physical presence.20 That physical presence then leads to a demand for
a banking relationship that must be fulfilled by either the existing banking
relationship, or replaced by a bank already operating in the host country. Grosse
and Goldberg (1991) argued that following their client’s trade-related activities
has a similar motivation to following the investment activities, but that this
motivation can relate to different client groups. In a descriptive article,
Zimmerman (1989) was not able to distinguish between trade and direct
investment as motivating factors for Japanese bank growth in California.21
Walter and Gray (1983) argued that the restrictiveness of a country toward
19 Examples of such theories include the regulatory impact hypothesis (Klopstock, 1973; Ber-nal, 1982), the home market sophistication hypothesis (Grosse and Goldberg, 1991), the hostsize hypothesis (Nigh et al., 1986) and parent size or capital base hypothesis (Hirtle, 1991).20 This may not be true in all cases if the direct investment measure used includes portfolioinvestment by investment fund managers. Ideally the investment measure should exclude bankinvestment in order to remove potential endogeniety biases.21 Other descriptive studies supporting the defensive expansion hypothesis include Aguilar(1995), Goldberg (1992), Key and Welsh (1988), Khoury (1997) and Khoury and Pal (2000).Other papers that consider defensive expansion to be a partial explanation for multinationalbanking include Seth (1994) and Hasegawa (1993).
The Defensive Expansion Approach to Multinational Banking 137
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Table
1:EmpiricalTests
oftheDefensiveExpansionHypothesis
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
Fieleke
(1977)
U.S.banksoperating
overseas.Considered
aggregate
data
across
tencountriesin
1974
andacross
8countries
in1975
(1)Branch
totalassets
(2)Branch
activity
withforeign
non-banks
(3)Branch
net
income
U.S.Direct
investm
ent
position
OLSregressions
foreach
year
Proxypositive
andsignificantin
allcases.N¼
10
or8
Deanand
Giddy(1981)
U.S.banksin
Canada,
1972:4
to1981:1,
Canadianbanksin
the
U.S.,1974:2
to1980:1.
Quarterly
data,in
aggregate
(1)Foreignbank
assetsdivided
by
domesticbank
assets
(2)Foreignbank
commercialand
industrialloans
divided
bydomestic
bankcommercial
andindustrialloans
Totaldirectinward
investm
entdivided
byGNP
Tim
eseries
regressions
ForUSbanksin
Canadaproxy
negativeand
significant55
ForCanadian
banksin
theU.S.
proxyispositive
butnotsignificant
Goldbergand
Saunders
(1981a)
Aggregate
foreign
banksin
theU.S.,
quarterly
data,1972:4
to1979:2
(1)Number
of
foreignbankoffices
(2)Foreignsubsidiaries
share
oftotalbank
assets
Net
foreigndirect
investm
entinto
theU.S.
OLStimeseries
regressions
Proxypositivein
all
cases
Proxysignificantfor
variables1,2,and3
138 Barry Williams
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(3)Foreignnon-sub-
sidiaries
share
of
totalbankassets
(4)Foreignshare
of
commercialand
industrialloans
Cho(1985)56
U.S.banksin
South
KoreaandSingapore,
1973–1980.Bankby
bank,annualdata
(1)Assetsin
host
countrymeasured
asashare
oftotal
host
commercial
bankdeposits
(2)Foreignbranch
Lendingasashare
oftotalhost
com-
mercialbank
lending
(3)Foreignbranch
deposits
asashare
ofhost
commercial
bankdeposits
(4)Foreignbranch
return
onassets
U.S.foreigndirect
investm
entto
host
countrydivided
by
host
GNP
(1)Individual
yearcross-
section
regressions,
includingboth
countries
(2)Pooled
regressions
across
banks
andtimefor
each
country
Sizeofhost
banking
market,amountof
foreigntradeand
defensiveexpansion
proxyare
allhighly
correlated,so
only
usedhost
banking
market
proxy.This
proxyispositive
andsignificantin
somecases
Jain
(1986)
Aggregate
data
ona
cross
sectionof46
developingcountries
and7Eastern
Europeancountries
Square
rootofU.S.
banksshare
ofloans
tothecountry57
Square
rootof
U.S.share
of
investm
entto
the
host
country58
OLSregression,
withinfluential
variables
identified.
Separate
Only
1982resultsrepor
ted.Proxypositive
andsignificant
forallcountries.
Significance
The Defensive Expansion Approach to Multinational Banking 139
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
inwhichU.S.banks
hadassetsbetween
1977and1982
regressionsfor
each
year
removed
when
influentialvariables
omitted.Tradeand
investm
ent
measurescollinear
Nigh,
Cho,and
Krishnan
(1986)
U.S.bankoperations
in30countries,
1976–1982.
Aggregate
annual
data
Changein
U.S.
branch
assets
per
yearin
USD
millions
Changein
USdirect
investm
entin
host
countryin
USD
millions
Pooledtime
series
cross
section
regressions:
(1)OLS
(2)Pooledleast
squaresdummy
variable
estimation
(3)Poolederror
components
model59
Proxypositiveand
significantin
all
cases
Sabi
(1988)
U.S.banksin
23Less
Developed
Countries,
1975–1982.Aggregate
annualdata
U.S.branch
assetsin
host
country
U.S.Direct
investm
entin
host
country,book
value
Pooled
Regressions
(1)OLS
Proxypositiveand
significantin
all
cases
140 Barry Williams
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(2)Least
squares
dummy
variables
(3)Variance
components
Goldberg,
Helsley
andLevi
(1989a)
Foreignbanksin
the
U.S.in
1984,state
level
data
(31states)
(1)Foreignbank
assets
(2)Foreignbanks
deposits
Number
ofForeign
corporations
headquartered
ineach
state
OLS
Proxypositiveand
significant,shows
someevidence
of
collinearity
with
number
of
corporationsin
each
state
Hultman
andMcG
ee(1989)
Aggregate
foreign
bankingin
theU.S.,
1973to
1986.Annual
data
(1)Share
ofU.S.
banksubsidiary
assetsheldby
foreignbanks
(2)Share
ofU.S.
branch
and
subsidiary
assets
heldbyforeign
branches
and
subsidiaries
Annualchangein
foreigndirect
investm
entinto
the
U.S.,excludingthe
finance,insurance,
andrealestate
industries,in
USD
billion
OLStimeseries
regressions
Proxypositiveand
significantin
all
cases
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
Hultman
andMcG
ee(1990)
Japanesebanksin
the
U.S.,1974to
1988.
Annualdata
Japaneseshare
ofU.S.
bankingassets
Annualchangein
JapaneseFDI
into
theU.S.
OLStimeseries
regressions
Proxypositiveand
significant
Goldberg
andJohnson
(1990)
U.S.banksin
22
countries,1972–1985
Aggregate
annual
data
(1)Assetsofforeign
branches
(2)Number
of
foreignbranches
U.S.direct
investm
entinto
host
country
Pooled
regressions,
N¼
240
Proxypositiveand
significantfor
assets.Proxy
negativeand
significantfor
number
of
branches
60
Budzeika
(1991)
Foreignbanksin
the
U.S.,annualand
quarterly
data,
1974:4
to1989:4,
aggregate
data
(1)Totalassetsof
foreignbranches
andagencies
(2)Commercialloans
offoreignbranches,
agencies
and
international
banking
facilities
(IBFs)
FDIinto
the
US
Forw
ard
stepwise
regressions.All
variablesin
first
differencesof
logarithms.
N¼
17(annual
data)or68,
quarterly
data)
(1)Nosignificant
contribution,
coeffi
cient
negative
(2)Nosignificant
contribution,
coeffi
cient
positive
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(3)Totalassets
offoreignbranches,
agencies
andIB
Fs
(4)Totalassetsof
foreignsubsidiaries
(3)Nosignificant
contribution,
coeffi
cientnegative
(4)Nosignificant
contribution,
coeffi
cient
negative
Grosseand
Goldberg
(1991)
Foreignbanksin
the
U.S.,1980–1988,by
country,aggregate
annualdata
(1)Foreignbank
assetsbycountry
(2)Number
of
foreign
bankoffices
Foreigndirect
investm
entand
foreignportfolio
investm
entin
the
U.S.,bycountry
oforigin
Pooled
regressions6
1Proxypositiveand
significantat1%
level
forboth
dependent
variables
Thornton
(1992)
Japanesebanksin
the
U.K
.,1975:1
to1989:1,quarterly
aggregate
data
Japanesebankassets
inLondonin
USD
divided
bynominal
JapaneseGDPin
USD
Totalworldwide
Japaneseforeign
directinvestm
ent
divided
bynominal
JapaneseGDPin
USD
Autoregressive
distributedlag
model,upto
6lags
Sum
ofcoeffi
cients
onthelags
employed
positive
andsignificant.
Lags1,2and4
employed
Wright(1993)Foreignowned
licensed
banksin
Australia,
1985–1992,eighteen
foreignbanks.Annual
bankbybankdata
Logofassetsin
Australia62
Volumeofnon-
officialcapitalon
Balance
of
Payments,across
all
countries,including
both
portfolioand
directinvestm
ent
Tim
eseries
OLS
regressions,one
foreach
bank
Proxypositiveand
significanttw
iceout
of18regressions,
once
at5%
level
andonce
at10%
level
The Defensive Expansion Approach to Multinational Banking 143
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
Goldberg
andGrosse
(1994)
ForeignBanksin
the
U.S.;state
bystate
data.Annualdata,
1981–1989
(1)Totalassets
(2)Totaloffices
(3)Assetsofagencies
(4)Number
ofagencies
(5)Assetsofbranches
(6)Number
of
branches
(7)Assetsof
subsidiaries
(8)Number
of
subsidiaries
FDIinto
thestate
divided
bystate
income
Poolederror
components
model
andOLS,
OLSresultssame
aspooled;only
OLSshown
(1)Positiveand
significant
(2)Positive,
not
significant
(3)Negativeandnot
significant
(4)Negativeandnot
significant
(5)Positiveand
significant
(6)Positiveandnot
significant
(7)Positiveandnot
significant
(8)Positiveandnot
significant
Overall:
Defensive
expansiononly
holdsforassets
ofbranches
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Marashdeh
(1994)
Foreignbanksin
Malaysia,1980–1990,
across
11countries,
aggregate
annual
data
foreach
country
(1)Number
of
branches
andoffices
from
each
country
(2)Officesfrom
each
country
Homecountry
investm
entin
Malaysia,in
ringgits
Pooled
regression,
fixed
effects
model
Proxynegative.
Significantat5%
level
intw
ocases
outoffour6
3
Wrightand
Liesch(1994)
Foreignbanksand
foreignmerchant
banksin
Australia
1988to
1992.Annual
bankdata;pooled
Logoftotalassets
FDIfrom
home
countryinto
Australiabyyear
Pooleddata
estimatedusing
OLS
Proxypositiveand
significant
Sabi(1995)
Foreignbanksin
the
U.S.Quarterly
aggregate
data
1980:2
to1993:4
Assetsofbranches
andagencies
ForeignDirect
Investm
entinto
theU.S
Granger
Causality
Thepresence
of
foreignbanks
Granger
causes
FDI,butFDIdoes
notGranger
cause
oreignbanking
Waheed
andMathur
(1995)
AnnouncementofU.S.
banks’offshore
expansioninto
theith
nation,1963to
1989
Eventstudy
methodology
Standardised
cumulativeaverage
residual(SCAR),tw
odaywindow
()1,0):
(1)Allevents,(N¼
141)
(2)Rep.office
events,
(N¼
26)
(3)Branch
events,
(N¼
60)
FDIbyU.S.firm
sinto
theithhost
nation
OLSregression,
usingaverage
residualsfrom
eventstudyas
dependent
variable
(1)Negativeand
significant
(2)Notestimated:
insufficient
observations,
somedata
not
available
(3)Somedata
not
available,N¼
34,
variable
not
The Defensive Expansion Approach to Multinational Banking 145
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
(4)Jointventure
events,
(N¼
27)
(5)Subsidiary
events,
(N¼
27)
(6)Acquisitionevents,
(N¼
41)
significant,model
notsignificant
(4)Notestimated:
insufficient
observations,
somedata
not
available
(5)Negativeandnot
significant
(6)Negativeand
significant
Wengel
(1995)
Foreignbanksin
141
countries,listed
inthe
Banker’sAlm
anac
(1990)
(1)Number
of
branches
(2)Number
of
subsidiaries
(3)Number
of
representative
offices
AssetsofMNCsin
host
country64
Logit
regressions
Proxypositiveand
significantin
all
cases
Brealey
andKaplanis
(1996)
1000largest
banksin
1992
Logofnumber
of
banksfrom
country
iin
host
nationj
(a)FDIfrom
parent
countryi
tohost
j
(1)OLSwith
Whites
correction
applied
to
(1)Positiveand
significantfor
both
(a)and(b)
Outw
ard
FDI,
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(b)FDIfrom
host
jto
parent
countryi
pooleddata.
Separate
regressionfor
each
trade
variable
(2)OLSfor
selected
individual
nations,
(A)Parent
nation
regressions
and
(B)Host
nation
regressions
variable
(b),while
significant,had
limited
economic
value
(2)Inward
FDIonly
used
(2A)11of12
coeffi
cients
positive,
6significant
at95%
level.On
average
explanatory
power
increasedby
6%
due
toFDI
variable
(2B)3of7
coeffi
cients
negative
(UK
significant,
indicates
substitution
effect),
average
coeffi
cient
The Defensive Expansion Approach to Multinational Banking 147
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
close
tozero,no
increase
inexplanatory
power
on
average
Fisher
and
Molyneux
(1996)
Foreignbanksin
London,1980to
1989.
Annualaggregate
data
(1)Number
ofbanks
(2)Number
ofstaff
(3)Number
ofbanks
from
Europe
(4)Number
ofbanks,
excludingUSA
and
Japan
(5)Number
ofstaff
from
Europe
6)Number
ofstaff,
excludingUSA
and
Japan
(a)FDIinto
theUK
(b)FDIout
ofUK
Pooleddata
with
missing
observations:
techniquenot
clear,could
be
OLS
(a)Negativeandnot
significantfor(1)
and(2)
(a)Positiveand
significantfor
(3),(4),(5)
and(6)
(b)Positiveandnot
significantfor
(1),positive
andsignificant
for(2).
(b)Negativeandnot
significantfor(3)
and(6),negative
andsignificantfor
(4)and(5)
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Hondroy-
iannisand
Papapetrou
(1996)
Foreignbanks
inGreece1981to
1992,annual
aggregate
data
(1)Totalassets
(2)Number
of
branches
FDIinto
Greece
Pooleddata,
model
estimated
witherror
correction
model
with
correctionfor
autocorrelation
Positivebutnot
significantforboth
(1)and(2),resultsnot
shown
Moshirian
andSim
(1996)
U.S.bank’s
1970–1992,annual
aggregate
data
U.S.banks’foreign
assets.Note:thisis
astudyof
internationalrather
thanmultinational
banking
Realstock
ofU.S.
ForeignDirect
Investm
entabroad
(a)Ordinary
Least
Squares,
(b)Instrumental
Variables,
(c)Generalised
Methodof
Moments
Negativeand
significantfor(c).
Negativeandnot
significantfor(a)
and(b)
Williams
(1996)
Japanesebanksin
Australia,1987–1992,
and1988–1992.
Annualbankdata
(1)Assetsin
$A
(2)Market
share
(3)Return
onassets
after
tax
(4)Return
onassets
before
tax
JapaneseFDIinto
Australiain
Australiandollars
Pooleddata,
Kmenta’s(1986)
method
Negativeand
significantfor(2).
Notsignificant
otherwise.
Evidence
ofcollinearity
Millerand
Parkhe
(1998)
U.S.banksin
32
countries,1987–1995
(office
types);
1990–1995(assets).
Annualaggregate
data
Assets:
(1a)Alloffices
(1b)Branches
(1c)
Subsidiary
Number
ofOffices:
(2a)Alloffices
U.S.FDIinto
the
ithcountry
Pooleddata
estimatedwith
OLS,White’s
(1980)correc-
tionMissing
observations
(1)Positiveand
significantin
all
cases
(2)Positiveand
significantin
all
cases
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
(2b)Branches
(2c)
Subsidiary
(3)TotalAssets
(3a)Industrial
Countries
(3b)Developing
Countries
(4)Branch
Assets
(4a)Industrial
Countries
(4b)Developing
Countries
Subsidiary
Assets
(5a)Industrial
Countries
(5b)Developing
Countries
(6)Office
Numbers
(6a)Industrial
Countries
(6b)Developing
Countries
deleted,
(n¼
270
foroffices;
n¼
140for
assets)
(3)Positiveand
significantfor(3a),
positiveandnot
significantfor(3b)
(4)Positiveand
significantfor(4a),
positiveandnot
significantfor(4b)
(5)Positiveand
significantfor(5a),
negativeandnot
significantfor(5b)
(6)Positiveand
significantin
both
cases
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Millerand
Parkhe
(1998)
[cont’d]
U.S.banksin
32
countries,1987–1995
(office
types);
1990–1995(assets).
Annualaggregate
data
(7)Branch
Offices
(7a)Industrial
Countries
(7b)Developing
Countries
(8)Subsidiary
Offices
(8a)Industrial
Countries
(8b)Developing
Countries
(9)Subsidiary
offices/
totaloffices
(9a)AllCountries
(9b)Industrial
Countries
(9c)
Developing
Countries
U.S.FDIinto
the
ithcountry
Pooleddata
estimatedwith
OLS,White’s
(1980)correc-
tion.Missing
observations
deleted,(n¼
270
foroffices;
n¼
140for
assets)
(7)Positiveand
significantin
both
cases
(8)Positiveand
significantin
both
cases
(9)Positiveand
significantfor(9a)
and(9b),positive
andnotsignificant
for(9c)
Molyneux,
Rem
olona
andSeth
(1998)
ForeignBanksfrom
14countriesin
the
U.S.Quarterly
bank
level
data,1990:1
to1992:3
(1)Profits:
(1a)Return
on
Assets;or
(1b)Return
onEquity
(2)Logofchangein
commercialand
industrialloans
FDIinto
theUS
from
theithbank’s
country
TwoStageLeast
Squares.Thetw
odependent
variableswere
modelled
simultaneously
FDIincluded
inthe
loangrowth
equation
only:Positiveandnot
significant
Molyneux
andSeth
(1998)
ForeignBanksin
the
U.S.from
14countries;
1987–1991;Annual
banklevel
data
(1)Profits:
(1a)Return
on
Assets;or
FDIinto
theUS
from
theithbank’s
country
TwoStageLeast
Squares
FDIincluded
inthe
loangrowth
equation
only:Positiveandnot
significant
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
(1b)Return
on
Equity
(2)Logofchangein
commercialand
industrialloans
Moshirian
(1998)
Foreignbankinvest-
mentin
Australia,
1985–1996,aggregate
quarterly
data:1994
to1996annualdata
usedto
construct
quarterly
data
Stock
ofFDIin
bankingin
Australia
measuredin
current
period’sUSdollars
Stock
ofFDIin
Australian
manufacturing
sectorin
current
period’sUSdollars
OLSwith
instrumental
variable
estimation
andGMM
tocontrolfor
heteroskedasticity
Positiveand
significant
Moshirian
andVander
Laan(1998)
ForeignassetsofU.S.,
U.K
.andGerman
banks1985(1)to
1995(4).Quarterly
aggregate
data
RealforeignAssetsin
U.S.dollars,note
thatthisisastudyof
internationalrather
thanmultinational
banking
Stock
ofnon-Bank
FDIabroadfrom
thehost
nation
(1)OLSwith
correctionsfor
heteroscedas-
ticity
(2)Generalised
Methodof
Moments.
Only
these
resultsshown
NonbankFDI
significantand
negative
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Country
specific
regressions
conducted
Williams
(1998a)
Foreignbanksin
Australia1987–1993.
Annualbankbybank
data
(1)Assetsin
Australiandollars
(2)Return
onAssets
after
tax
FDIflow
into
Australiafrom
the
ithbank’scountry
Cross
section
bounded
regressions,
yearbyyear
Notsignificantfor(1)
or(2)
Williams
(1998b)
Foreignbanksin
Australia1987–1993.
Annualbankbybank
data
(1)Assetsin
Australiandollars
(2)Return
onAssets
after
tax
(a)Currentvalueof
FDIflow
into
Australia
(b)Lagged
valueof
FDIflow
into
Australia
Unbalanced
pooled
regressions
(1)Notsignificantfor
(a),positiveand
significantfor(b)
(2)Positiveand
significant
(although
economically
small)for(a)not
significantfor(b)
Yamori
(1998)
Japanesebankoffshore
expansion,1951to
1994
(1)Logofaccumu-
latedstock
ofbank
FDIin
theithhost
nation,1951to
1994
(2)Logofaccumu-
latedstock
ofbank
FDIin
theithhost
nation,1990to
1994
(a)LogofJapanese
manufacturing
FDIinto
theith
country
(b)Logof(Japanese
manufacturing
FDIinto
theith
country+
Japaneseexports
OLS
(1a)Generally
positiveand
significant,not
significantifLog
ofM2included
inmodel
(1b)Positiveand
significant
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
into
theith
country)
(2a)Positiveand
significant;M2
notincluded
inresultsshown,(b)
notincluded
inresultsshown
Konopielko
(1999)
Foreignbanksin
Poland,Hungary
andtheCzech
Republic
(1)Survey
of70
banksin
Poland
Hungary
andCzech
Republic
in1996
(2)0ifbanksnot
present,1ifbank
present
Stock
ofFDIin
host
nation
(a)Logit
regressions
(b)OLS
(1)Survey:Following
clients
important
forPolandand
Czech
Republic,
butnotfor
Hungary
(2)Positiveand
significantfor
Poland,positive
andnotsignificant
forHungary
and
Czech
Republic
Moshirian
andPham
(1999)
Australianbank
offshore
expansion
1985to
1995.Quarterly
data
1985to
1993,
Stock
ofAustralian
FDIin
banking
abroad
Stock
ofAustralian
FDIin
manufacturing
abroad
Allstock
data
transform
edinto
flowsto
ensure
stationarily
Positiveand
significant
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annualdata
1994to
1995
Generalised
methodof
moments
estimation
applied
Buch
(2000)
Offshore
bankingby
Germanbanks1981
to1998.Annual
aggregate
data.Study
coversupto
37
countriesofoperation
byGermanbanks
(1)LogofFDIby
Banksin
1997
(n¼
20)
(2)Logof
foreignassetsof
domesticbanksin
1997[international
banking],(n¼
35)
(3)LogofAssetsof
foreignbranches
in997(n¼
38)
(4)Logofassetsof
foreignsubsidiaries
in1997(n¼
37)
(5)Changein
logof
foreignassetsof
domesticbanks
1982to
1998
[international
banking](n¼
462)
(a)LogofGerman
non-bankFDI
(b)Logoftotal
GermanFDI
(includingBank
FDI)
lagged
by
oneperiod
(c)Changein
log
oftotalGerman
FDI(including
BankFDI)
OLSwithWhites
correctionfor
cross
section
study.Panel
estimations
controllingfor
non-stationarity,
errorcorrection
model
forpanel
data,fixed
effects
estimation
(a)Positiveand
significantfor(1).
(b)Positiveand
significantfor(2),
(3)and(4).
(b)Positiveand
significantfor(6)
(c)Positiveand
significantfor(6)
FDIvariablesnot
tested
for(5)and(7)
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Table
1:Continued
Author
Subject
Dependent
Variables
DefensiveExpansion
Proxy(Independent
Variable)
Estim
ation
Method
Result
(6)Changein
logof
assetsofforeign
branches
1981to
1997,(n¼
477)
(7)Changein
logof
assetsofforeign
subsidiaries
1987
to1998,(n¼
390)
Note
(1)to
(4)are
stock
variables,(5)
to(7)are
flow
variables
Note:Buch
alsoused
LogofFDIbybanks
aover
theperiod1981
to1997(?)asa
dependentvariable
inpanel
regression,with
logofnonbankFDI
asanindependent
variable.Theresults
ofthisregression
werenotshownin
the
paper.Buch
found
non-bankFDIto
be
negativeand
significant.(See
page
50)
Moshirian
(2001)
FDIin
bankingfrom
Germany,U.K
and
U.S.from
1983(1)
to1995(4).Quarterly
aggregate
data
Changein
logof
bankforeignassets
Changein
log
ofFDIin
non-financial
industries
GMM
estimation.
Separate
regressionsfor
each
nation
Non-bankFDI
positiveand
significantin
allcases
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55Thisresultwasnotexplained
ordiscussed
bytheauthors.
56Thisstudywaslaterpublished
inrefereed
journalsasCho(1986a)and(1986b).Theresultsofthesetw
ostudiesare
thesameas
Cho(1985)withCho(1986a)discussingthecross
sectionresultsandCho(1986b)discussingthepooledresults.
57Jain
usedthesquare
rootofthevariablesin
order
toinduce
theirnorm
ality.
58Jain
modelledadirectinvestm
entproxywithatradeproxy,butdid
notcontrolforthesimultaneity
problem
discussed
earlier,
asover
thesample
periodtradefinancingwasasm
allproportionoftotalbanklending.
59Thedifferentestimationmethodswereusedin
order
toestablish
therobustnessofthemodel
totheestimationmethod.The
model
tested
wasgenerallyconsistentin
itsresultto
theestimationmethod.
60GoldbergandJohnson(1990)argued
thatlarger
bankpremises
are
theresultofoutrightcompetitionwiththedomesticbanks.
TheresultisconsistentwiththebeachheadargumentofFieleke(1977).
61GrosseandGoldberg(1991)considered
thatasthetimeperiodofthestudywasshort,theuse
ofavariance
componentsmodel
wasnotnecessary.
62Thedependentvariable
islogged
inorder
toensure
itsnorm
aldistribution.
63Marashdeh
usedtestsfortheeff
ects
ofthepresence
ofJapaneseactivityuponthefirstdependentvariable,andtheeff
ects
of
Singapore
activityupontheseconddependentvariable.Theresultisconsidered
tobedueto
regulatory
restrictiononthemethods
offinancinginvestm
entin
Malaysia,andthatfew
banksin
thesample
werefrom
themajorsources
ofinvestm
entin
Malaysia.
64Thisvariable
appears
tohavebeenadded
tothetrademeasure.
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foreign banks would be a reflection of its openness to foreign investment and
trade. Thus, countries that conduct vigorous international trade and investment
will be more receptive to the entrance of foreign banks. As a result, trade and
investment measures may be proxies for receptiveness rather than following
clients.
Performance Measures Employed in Defensive Expansion
In addition to the choice of independent variables used to measure defensive
expansion, there is also a range of possible choices to measure performance of
the multinational bank in the host market. The defensive expansion hypothesis
in its simplest form is specified as shown in equation 1, below:
Performance ¼ aþ bðdefensive expansion measureÞ ð1Þ
As discussed above, the expected value of b is positive. There has been a range of
performance measures applied in the studies detailed in Tables 1 and 2. These
measures can be classified into two groups; size measures (the most common);
or, profit measures. Size measures that have been applied to date include; assets
in the host nation (Cho, 1985), commercial loans in the host nation (Poulson,
1986), deposits in the host nation (Goldberg and Saunders, 1980), number of
offices in the host nation (Marashdeh, 1994), number of staff in the host nation
(Fisher and Molyneux, 1996) and market share in the host nation (Galiatsos and
Papapetrou, 1995). In some cases these measures have been divided into sub-
categories to measure whether the defensive expansion effect differed across
organisational types, such as agency, branch, subsidiary and representative office
(Goldberg and Saunders, 1981b; Heinkel and Levi, 1992; Buch, 2000).22 Those
studies employing count data as the dependent variable, such as staff numbers
and number of branches, generally employed Ordinary Least Squares regres-
sions to estimate the impact of defensive expansion. It would be worthwhile
considering employing empirical models designed for dependent variables of this
type, such as the Poisson regression model. As discussed by Greene (2000), it is
appropriate to use an estimation technique that explicitly accounts for this type
of dependent variable, particularly if the dependent variable has a large number
of zeros and small values.
The second type of performance measure used to determine the extent of
defensive expansion has been profit measures. This type of study is less common,
with the usual approach being to specify a model of factors that determine
multinational bank performance and then apply a profits measure as one of
22 For those studies using foreign investment as the defensive expansion measure, there was noconsistent pattern of the impact of organisational type upon defensive expansion. In the case ofthose studies using trade finance measures to consider defensive expansion, it seems thatagencies are more likely to be employed to follow trading activities of clients, (Goldberg andSaunders, 1981b). However, this cannot be considered a conclusive result.
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several alternative measures of multinational bank performance. In this
approach, the profit measures usually applied are either return on assets or
return on equity. Such an approach does not distinguish between factors that
determine profits and those that determine size, or consider that profits and size
are determined jointly. The studies by Molyneux et al. (1998) and Molyneux and
Seth (1998) have considered this simultaneity. However, the development of a
model specifically for multinational bank profits is an area that would benefit
from further research. The other approach to the profits issue in defensive
expansion was that of Waheed and Mathur (1995), who employed event-study
methodology. The evidence to date regarding the impact of following clients
upon multinational bank profits will be discussed in more detail in a later
section.23
Substitution between Multinational and International Banking
Moshirian and Sim (1996) considered the relationship between the offshore
assets of U.S. banks a trade variable and a direct investment measure. The
offshore assets measure used in this study reflected the provision of financial
services by U.S. banks to offshore customers. This is, in effect, international
banking rather than multinational banking. The provision of financial services,
(as opposed to multinational banking), does not require a physical presence
overseas.24 Moshirian and Sim (1996) found that U.S. exports were positively
and significantly related to international banking. However, direct investment
overseas was consistently found to have a negative and significant relationship
with the size of foreign assets held domestically. The authors argued that these
results represented a substitution between international banking (offshore
assets created from the home market) and multinational banking (offshore
assets created from offshore locations).25 Moshirian and Sim (1996) argued that
as U.S. FDI increases, U.S. bank behaviour changes from provision of
financial services via international banking from the home nation (servicing
23 Studies such as Berger et al. (2000) and Peek et al. (1999) have found that foreign banks in theU.S. are less profit efficient than domestic U.S. banks. However, these studies have not includeda defensive expansion measure.24 Other relevant papers that consider international banking but do not include a defensiveexpansion measure are Moshirian (1993, 1994a, 1994b and 1996).25 Moshirian (1998) and Moshirian and Pham (1999) found that international banking andmultinational banking are complements. These studies found domestic foreign currency assetsto be positively correlated with offshore investment by Australian banks. This is consistent withthe international experience arguments of Tschoegl (1982a). This is in contrast with Ruffin andRassekh (1986) who found foreign assets to be substitutes for FDI in banking. However, themeasure used by Moshirian (1998) and Moshirian and Pham (1999) for foreign assets includedboth international banking and multinational banking. Thus the dependent variable incorpo-rated activity potentially also included in the independent variable, producing a potential en-dogeniety bias. Moshirian (1998) attempted to address this problem by using instrumentalvariable estimation, however, these results should be treated with caution, as the criticism ofJain (1986, p. 74) is also relevant in this context.
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Table
2.EmpiricalTests
oftheTradeFinance
Hypothesis.
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
Fieleke(1977)
U.S.banks
operatingoverseas.
Aggregate
data
across
ten
countriesin
1974
andacross
8countriesin
1975
(1)Branch
total
assets
(2)Branch
activitywith
foreign
non-banks
(3)Branch
net
income
Exportsplusim
ports
oftheUnited
States
OLSregressions
foreach
year
Tradeproxynegative
andsignificantfor
(1)and(2)for1974.
Tradeproxyhighly
correlatedwithhost
market
proxy.
N¼
10or8
Terrell(1979)
U.S.banksin
Japan
andJapanese
banksin
theU.S.,
1972to
1978,
monthly
aggregate
data
(1)Monthly
changein
loans
byJapanese
branches
of
U.S.banks
(2)Monthly
change
inloansbyU.S.
agencies
and
branches
of
Japanesebanks
(3)Monthly
change
inloansbyall
U.S.subsidiaries
ofJapanese
banks
Changein
Japanese
trade(exports
plusim
ports)
inU.S.D
.billion
OLSwith
Cochrane–Orcutt
Positivebutnot
significantfor(1),
positiveand
significantfor(2)
and(3)
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Goldberg
andSaunders
(1980)
U.S.banksin
the
United
Kingdom,
quarterly
aggregate
data,1961:1
to1978:2
TotalU.S.bank
deposits
inthe
U.K
.,in
all
currencies,
measuredin
U.S.D
millions
U.S.exportsto
theU.K
.,in
U.S.D
.millions
OLSestimation,
withCochrane–
Orcutt
Tradeproxypositive
andsignificant
Deanand
Giddy(1981)
U.S.banksin
Canada,1974:4
to1981:1,Canadian
banksin
theU.S.,
1974:2
to1980:1.
Quarterly
aggregate
data
(1)Foreignbank
assetsdivided
bydomestic
bankassets
(2)Foreignshare
of
commercialand
industrialloans
Exportsplus
importsdivided
by
host
G.N
.P.
Tim
eseries
regressions
Tradeproxypositive
andsignificantin
all
cases
Goldbergand
Saunders
(1981a)
Foreignbanks
intheU.S.,
1972:4
to1979:2,
quarterly
aggregate
data
(1)Number
of
foreignbank
offices
(2)Foreign
subsidiaries
share
oftotal
bankassets
(3)Foreignnon-
subsidiaries
share
oftotal
bankassets
(4)Foreignshare
of
commercialand
industrialloans
U.S.exportsdivided
byU.S.personal
income
OLStimeseries
regressions
Proxynotsignificant
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
Goldbergand
Saunders
(1981b)
Foreignbanksin
theU.S.quarterly
aggregate
data,
1972:4
to1980:1
Totalassetsof:
(1)Foreign
agencies
(2)Foreign
branches
(3)Foreign
subsidiaries
U.S.im
ports
divided
byU.S.
GNP65
GLSestimation.
TheGLS
estimationwas
apparentlyto
controlforthe
presence
of
autocorrelation
However
thiswas
notcompletely
discussed
Tradeproxypositive
andsignificantfor
(1),butnotfor(2)
or(3)66
Cho(1985)
U.S.banksin
South
Koreaand
Singapore,1973–
1980.Bankby
bankannual
data
(1)Assetsin
host
country
measuredasa
share
oftotal
host
commercial
bankdeposits
(2)Foreignbranch
lendingasashare
oftotalhost
commercialbank
lending
(3)Foreignbranch
deposits
asa
Host
exportsand
importswiththe
U.S.divided
by
host
GDP
(1)Individual
year
cross–section
regressions,
includingboth
countries
(2)Pooled
regressions
across
banksand
timeforeach
country
Sizeofhost
banking
market,tradeproxy
anddefensive
expansionproxyare
allhighly
correlated,so
only
usedhost
banking
market
proxy.This
proxypositiveand
significantin
some
cases
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share
ofhost
commercialbank
deposits
(4)Foreignbranch
return
onassets
Jain
(1986)
Aggregate
data
onacross
section
of46developing
countriesand7
EasternEuropean
countriesin
which
U.S.bankshad
assetsbetween
1977and1982
Square
rootof
U.S.bank’sshare
ofloansto
the
country
U.S.share
oftotal
exportsand
importsto
the
country
OLSregression.
Influentialvari-
ablesidentified.
Separate
regres-
sionsforeach
year
1982resultsonly
reported.Trade
proxypositiveand
significantat1%
level
foronecase
outof17
regressions
Poulson
(1986)
Japanesebanksin
theU.S.1972:4
to1980:2,quarterly
aggregate
data
Commercialand
industrialloans
ofU.S.offices
ofJapanesebanks:
(1)Nominalvalues
(2)Realvalues
TotalJapanese
tradewiththe
U.S.
OLStimeseries
regressions
Proxypositiveand
significantin
all
cases
Cooper
etal.
(1989)
Foreignowned
banksin
the
U.S.195foreign
owned
banksfrom
19countries,1980
to1986.Annual
data.Sample
AllBanks:
(1)Commercialand
Industrial
(C&
I)loansto
U.S.locations
divided
by
C&
Iloansto
Net
tradebalance
foreach
bank’s
homenation:
homecountry
merchandise
exportsless
homecountry
OLSapplied
topooleddata
Positiveand
significantfor
(2),negativeand
significantfor(3)
Notsignificant
otherwise
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
from
Europeand
PacificRim
non-U
.S.
locationsby
theU.S.
operationsof
thatbank
(2)C
&Iloansin
the
U.S.bytheforeign
bankin
U.S.
divided
bythat
bank’sglobal
C&
Iloans
(3)HoldingsofU.S.
Treasury
securities
byforeignbankin
U.S.divided
bynon-
U.S.C
&Iloans
(4)Loansto
U.S.
banksdivided
by
loansto
non-U
.S.
banks
(5)Loansin
theU.S.
divided
bynon-
U.S.loans
merchandise
imports
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Cooper
etal.
(1989)cont’d
Foreignowned
banksin
theU.S.
195foreignowned
banksfrom
19
countries,1980to
1986.
Annual
data.Sample
from
EuropeandPacific
Rim
EuropeanBanks.
(6)U.S.C
&I
loansdivided
by
non-U
.S.C
&I
loans
(7)U.S.C
&Iloans
divided
bytotal
C&
Iloans
(8)U.S.Treasury
holdingsdivided
bytotalnon-U
.S.
C&
Iloans
(9)Security
holdings
divided
bytotal
non-U
.S.C
&I
loans
(10)U.S.lettersof
creditsdivided
bynon-U
.S.
lettersofcredit
(11)Loansto
U.S.
banksdivided
byloansto
non-U
.S.banks
(12)TotalU.S.loans
divided
bytotal
foreignloans
Net
tradebalance
foreach
bank’s
homenation:
homecountry
merchandise
exportsless
homecountry
merchandise
imports
OLSapplied
topooleddata
Negativeand
significantfor(8)
and(9),not
significant
otherwise
The Defensive Expansion Approach to Multinational Banking 165
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
Cooper
etal.(1989)
cont’d
Foreignowned
banksin
theU.S.
195foreignowned
banksfrom
19
countries,1980to
1986.Annual
data.Sample
from
EuropeandPacific
Rim
PacificRim
banks.
(13)U.S.C
&I
loansdivided
bytotalC
&I
loans
(14)U.S.Treasury
securities
divided
by
totalnon-U
.S.
C&
Iloans
(15)Loansto
U.S.
banksdivided
byloansto
non-U
.S.banks
Net
tradebalance
foreach
bank’s
homenation:
homecountry
merchandise
exportsless
homecountry
merchandise
imports
OLSapplied
topooleddata
Notsignificantin
anycase
EuropeanBanks.
(16)U.S.deposits
divided
by
non-U
.S.
deposits
(17)U.S.deposits
divided
bynon-
U.S.sources
of
funds.Pacific
Rim
Banks:
Net
tradebalance
foreach
bank’s
homenation:
homecountry
merchandise
exportsless
homecountry
merchandise
imports
OLSapplied
topooleddata
Notsignificant
inany
case
166 Barry Williams
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(18)U.S.deposits
divided
by
non-U
.S.
deposits
(19)U.S.deposits
divided
by
non-U
.S.
deposits
Goldberg,
Helsley
andLevi
(1989a)
Foreignbanksin
theU.S.in
1984,
state
level
data
(31states)
(1)Foreignbank
assets
(2)Foreignbanks
deposits
(a)State
imports
(b)State
exports
OLS
(a)Positiveand
significantin
all
cases
(b)Negativeand
significantin
all
cases
Goldbergand
Johnson(1990)U.S.banksin
22countries.
1972–1985.
Aggregate
annual
data
(1)Assetsofforeign
branches
(2)Number
of
foreignbranches
Exportsdivided
by
GNP
Pooled
regressions,
N¼
240
Tradeproxypositive
andsignificant
Terrell,
Dohner
andLowrey
(1990)
(1)Japanesebanks
intheU.K
.(2)Japanesebanks
intheU.S.
(1)Nonsterling
assetsof
Japanese
branches
inthe
U.K
.
(a)Japanesetotal
tradewiththe
U.K
.(b)Japanesetotal
tradewiththe
U.S.
OLS
Tradeproxies
positivelyand
significantlyrelated
toboth
totalasset
The Defensive Expansion Approach to Multinational Banking 167
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
Quarterly
aggregate
data.1980:1
to1988:4
(UK
Branches),1980:2
to1988:(U
Sactivity)
(2)Totalassetsof
Japanesebanks
intheU.S.
(3)Commercialand
Industrial(C
&I)
loansofJapanese
banksin
theU.S.
(4)Interbankclaim
sofJapanese
banksin
theU.S.
measures.C&I
loanspositively
relatedto
trade
measure.Interbank
claim
snot
significantlyrelated
totrademeasures
Budzeika
(1991)
Foreignbanksin
theU.S.,annual
andquarterly
data,
1974:4
to1989:4,
aggregate
data
(1)Totalassetsof
foreignbranches
andagencies
(2)Commercialloans
offoreign
branches,
agencies
and
international
bankingfacilities
(IBFs)
Exportsplus
importsfrom
the
ithnation
Forw
ard
stepwise
regressions.
Allvariablesin
firstdifferences
oflogarithms.
N¼17(annual
data)or68,
quarterly
data)
(1)Positiveand
significantfor
both
annualand
quarterly
data
(2)Positiveand
significantfor
annualdata,
quarterly
data
notshown
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(3)Totalassetsof
foreignbranches,
agencies
and
IBFs
(4)Totalassetsof
foreign
subsidiaries
(3)Nosignificant
contribution,
coeffi
cient
positive,
annual
data
only
(4)Positiveand
significantifP/E
ratioincluded
inmodel,otherwise
positiveandnot
significant,
annualdata
only
Dohner
and
Terrell(1991)
33banksfrom
7developed
nations,
1977–1986.
Pooledcountry
bycountry
annualdata
TotalAssets
measuredin
USD
(1)Exportsplus
importsin
USD
scaledbyGNP
inUSD
ofthe
jthcountry
(2)Currentaccount
inUSD,scaledby
GNPin
USD
OLSand
Kmenta’s(1990)
Pooled
estimation,
exceptforUS
banks,which
failed
poolability
test,so
time
series
regressions
used
(i)Canada:(1)and
(2)notsignificant
(ii)France:(1)and(2)
notsignificant
(iii)Germany:
(1)positiveand
significant,(2)
notsignificant
(iv)Japan:(1)and
(2)positiveand
significant
(v)Switzerland
(1)negativeand
significant,(2)
positiveand
significant
The Defensive Expansion Approach to Multinational Banking 169
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
(vi)UK:(1)not
significant,
(2)positiveand
significant
(vii)US:some
evidence
ofboth
(1)and(2)
havinga
significantand
positiveeff
ects
Grosseand
Goldberg
(1991)
Foreignbanksin
theU.S.,1980–
1988,bycountry,
aggregate
annual
data
(1)Foreignbank
assetsby
country
(2)Number
offoreign
bankoffices
Exportsand
Importsbetween
theU.S.andeach
sourcecountryin
U.S.D
.millions
Pooled
regressions
Tradeproxy
positiveand
significant
Heinkel
and
Levi(1992)
Foreignbanksin
theU.S.,cross-
section,aggregate
data
for1985
(1)Number
of
representative
officesfrom
each
country
(2)Number
of
agencies
from
each
country
Exportsfrom
homecountryto
theU.S.
Threestage
least
squares
regressions
Tradeproxypositive
andsignificantfor
(1)and(2).Some
evidence
ofcollin-
earity
betweentrade
proxyandU.S.
dollarvalue
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(3)Number
of
branches
from
each
country
(4)Number
of
subsidiaries
from
each
country
ofhome
stock
market
Wright(1993)
Foreign-owned
licensedbanks
operatingin
Australia,
1985–1992,
eighteen
banks
Annualdata
Logofassetsin
Australia
Importsplus
exportsbetween
homecountry
andAustralia
Tim
eseries
OLSregressions,
oneper
bank
Tradeproxypositive
andsignificantat
5%
level
andat1%
levelin
onecase,out
of18regressions
Goldbergand
Grosse(1994)
Foreignbanksin
theU.S.;state
by
state
annualdata
1981to
1989
(1)Totalassets
(2)Totaloffices
(3)Assetsof
agencies
(4)Number
of
agencies
(5)Assets
ofbranches
(6)Number
of
branches
(7)Assetsof
subsidiaries
(8)Number
of
subsidiaries
Importsplus
exportsper
state
divided
bystate
income
Poolederror
components
model
andOLS.OLS
resultsameas
pooled;only
OLSshown
Notsignificantfor
anyindependent
variable
The Defensive Expansion Approach to Multinational Banking 171
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
Marashdeh
(1994)
Foreignbanks
inMalaysia,
1980–1990,from
11countries,
aggregate
annual
data
foreach
country
(1)Number
of
branches
and
officesfrom
each
country
(2)Number
of
officesfrom
each
country
Totaltrade
(exportsplus
imports)
with
thecountry,
inringgits
Pooled
regressions,fixed
effects
model
Tradeproxy
positiveand
significant,except
forofficesin
Malaysia,excluding
Japaneseoffices
Wrightand
Liesch(1994)
Foreignbanksand
foreignMerchant
banksin
Australia
1988to
1992.
Annualbank
data
pooled
(1)Logoftotal
assets
(2)Return
on
assetsafter
tax
Exportsplus
imports
Pooleddata
estimatedusing
OLS
(1)Positiveand
significantatthe
10%
level
(2)Positiveand
significantatthe
1%
level
Galiatsosand
Papapetrou
(1995)
Foreignbanksin
Greece,
1968to
1992,timeseries
aggregate
data,
(1)Assetsof
foreign
banks/Total
Greek
commercial
bankassets
Importsplus
exports/Greek
GDP
OLS
Positiveand
significantfor
(1)and(2)
172 Barry Williams
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25annual
observations
(2)Number
of
foreignbank
branches
Wengel
(1995)
Foreignbanksin
141countries,
listed
inthe
Banker’s
Alm
anac(1990)
(1)Number
of
Branches
(2)Number
of
subsidiaries
(3)Number
of
representative
offices
Bilateraltrade6
7Logitregressions
Positiveand
significantforboth
(1)and(2)
Brealeyand
Kaplanis
(1996)
1000largestbanks
in1992
Logofnumber
ofbanksfrom
countryiin
host
nationj
(a)Exportsto
parentcountryi
(b)Im
portsfrom
parentcountryi
(1)OLSwith
Whites
correction
applied
topooleddata
(2)Separate
regressionfor
each
trade
variable.OLS
forselected
individual
nations,(A
)Parentnation
regressionsand
(B)Hostnation
regressions
(1)Positiveand
significantfor
both
(a)and(b)
Exportsonly
shown
(2A)11of13
coeffi
cients
positive,
6significantat
95%
level.On
average
explanatory
power
increased
by6%
dueto
exportsvariable
(2B)All9coeffi
cients
positive,
4
The Defensive Expansion Approach to Multinational Banking 173
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
significantat
95%
level.
Generallyhost
nation
regressions
hadlower
explanatory
power
Fisher
and
Molyneux
(1996)
Foreignbanksin
London,1980to
1989.Annual
aggregate
data
(1)Number
of
banks
(2)Number
of
staff
(3)Number
of
banksfrom
Europe
(4)Number
of
banks,
excluding
USA
andJapan
(5)Number
of
stafffrom
Europe
(a)Bilateraltrade
(b)Im
portsinto
theUK
(c)Exportsfrom
theUK
PooledData
with
missing
observations:
techniquenot
clear,could
beOLS
(a)Positiveand
significantfor
(1)and(2)
(a)Negativeand
significantfor(3).
Notsignificant
for(4),(5)and
(6)
(b)Negativeandnot
significantfor(1)
Positiveand
significantfor(2)
(c)Positiveand
significantfor(1)
and(2)
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(6)Number
of
Staff,excluding
USA
andJapan
Overall:exports
increase
bank
presence,while
importsare
more
equivocal
Hondroyiannis
and
Papapetrou
(1996)
Foreignbanks
inGreece1981
to1992,annual
aggregate
data
(1)Totalassets.
(2)Number
of
branches
Importsinto
Greecefrom
Homecountry
PooledData,
model
estimated
usingerror
correctionmodel
withcorrection
forautocorre-
lation
Positiveand
significantfor
both
(1)and(2)
Moshirianand
Sim
(1996)
U.S.bank’s
1970–1992,
annualaggregate
data
U.S.banksforeign
assets.(N
ote
thisis
astudyof
internationalrather
thanmultinational
banking
U.S.exportsof
goodsdivided
byU.S.G.N
.P.
(a)Ordinary
Least
Squares
(b)Instrumental
Variables,
(c)Generalised
Methodof
Moments
Positiveand
significantfor
(a)and(c),
positiveandnot
significantfor(b)
Tschoegl
(1997)
ForeignBanksin
Norw
ay.
(See
nextcolumn)
(1)Binary
dependent
variable:value1
ifoperatingin
Norw
ayandin
Euromoney
top
20FX
dealers
in1985
(a)LogofNorw
ay’s
importsfrom
each
bank’shome
country
(b)LogofNorw
ay’s
exportsfrom
each
bank’shomecountry
OLS
(1)Nosignificant
relationship
for
either
(a)or(b)
(2)Significantand
positivefor(a).
Significantand
negativefor(b)
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
(2)Binary
dependent
variable:value
1ifoperating
inNorw
ayand
inTheBankers
top50bankslist
in1985
Millerand
Parkhe(1998)
U.S.banksin
32countries,
1987–1995
(office
types);
1990–1995
(assets).Annual
aggregate
data
(1)Assets:
(1a)Alloffices
(1b)Branches
(1c)
Subsidiary
(2)Number
ofOffices:
(2a)Alloffices
(2b)Branches
(2c)
Subsidiary
(3)TotalAssets
(3a)Industrial
Countries
Bilateraltrade
betweentheU.S.
andtheith
country
Pooleddata
estimatedwith
OLS,White’s
(1980)correction.
Missing
observations
deleted,(n¼
270
foroffices;
n¼
140forassets)
(1)Negativeand
significantin
all
cases
(2)Negativeand
significantin
all
cases
(3)Negativeand
significantfor
(3a),positiveand
notsignificantfor
(3b)
(4)Negativeandsig-
nificantfor(4a),
positiveandnot
significantfor(4b)
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(3b)Developing
Countries
(4)Branch
Assets
(4a)Industrial
Countries
(4b)Developing
Countries
(5)Subsidiary
Assets
(5a)Industrial
Countries
(5b)Developing
Countries
(6)Office
Numbers
(6a)Industrial
Countries
(6b)Developing
Countries
(5)Negativeand
significantfor
(5a),positiveand
notsignificantfor
(5b)
(6)Negativeand
significantin
allcases
Millerand
Parkhe(1998)
[cont’d]
U.S.banksin
32countries,
1987—1995
(office
types);
1990–1995
(assets).
Annual
aggregate
data
(7)Branch
Offices
(7a)Industrial
Countries
(7b)Developing
Countries
(8)Subsidiary
Offices
Bilateraltrade
betweentheU.S.
andtheith
country
Pooleddata
estimated
withOLS,
White’s(1980)
correction.
Missing
observations
(7)Negativeand
significantin
all
cases
(8)Negativeand
significantin
allcases
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
(8a)Industrial
Countries
(8b)Developing
Countries
deleted,
(n¼
270for
offices;
n¼
140forassets)
Williams
(1998a)
Foreignbanksin
Australia
1987–1993
Annualbank
data
(1)Assetsin
Australian
dollars
(2)Return
on
Assetsafter
tax
Australianexports
tobank’shome
country68
Cross
section
bounded
regressions,
yearbyyear
(1)Negativeand
significantin
most
years
(2)Positiveand
significant
in1987,not
significant
otherwise
Williams
(1998b)
Foreignbanks
inAustralia
1987–1993
Annualbank
data
(1)Assetsin
Australian
dollars
(2)Return
on
Assetsafter
tax
Australianexports
tobank’shome
country69
Unbalanced
pooled
regressions
(1)Positiveand
significant
(2)Someevidence
ofanegativeand
significant
relationship
Yamori(1998)
Japanesebank
offshore
expansion,
1951to
1994
(1)Logof
accumulated
stock
of
Japanese
(a)Logofvolume
oftrade(exports
plusim
ports)
betweenJapan
OLS
(1a)Positiveand
significant
(1b)Positiveand
significant,
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bankFDIin
theithhost
nation,1951
to1994
(2)Logof
accumulated
stock
of
Japanesebank
FDIin
theith
host
nation,1990
to1994
andtheith
nation
(b)Logofexports
betweenJapan
andtheith
nation
(c)Logofim
ports
betweenJapan
andtheith
nation
when
included
with(c),butnot
(a);(c)negative
andsignificant
(c)Negativeand
significantif
included
with
log(FDI+
Exports)
instead
of(a)or(b)
(2a)Positiveand
significant
(2b)Positiveand
significant,when
included
withc);
(2c)
negativeand
notsignificant
Evidence
of
collinearity
Konopielko
(1999)
Foreignbanksin
Poland,Hungary
andtheCzech
Republic
0ifbanksnot
present,1if
bankpresent
(a)Im
ports
(b)Exports
(measurement
notclear)
(a)Logit
regressions
(b)OLS
Poland:Im
ports
negativeandsignifi-
cant,Exportsposi-
tiveandsignificant
Hungary:
Importspositiveand
notsignificant,
Exportsnegative
andnotsignificant
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Table
2:Continued
Author
Subject
Dependent
Variables
TradeFinance
Proxy(Independent
Variable)
Estim
ation
Method
Result
Czech
Republic:
Importspositiveand
notsignificant,
Exportsnegative
andnotsignificant
Buch
(2000)
Offshore
banking
byGermanbanks
1981to
1998
Annualaggregate
date.Studycovers
upto
37countries
ofoperationby
Germanbanks
(1)LogofFDIby
Banksin
1997
(n¼
20)
(2)Changein
log
offoreignassets
ofdomesticbanks
1982to
1998
[international
banking]
(n¼
462)
(3)Changein
log
ofassetsof
foreignbranches
1981to
1997,
(n¼
477)
(4)Changein
log
ofassetsof
foreign
(a)Logof
Exportsplus
Imports
(b)Logof
Exportsplus
importslagged
byoneperiod
(c)Changein
log
ofexportsplus
importslagged
byoneperiod
OLSwithWhites
correctionfor
cross
section
study.Panel
estimations
controllingfor
non-stationarity,
errorcorrection
model
forpanel
data,fixed
effects
estimation
(1)(a)Positiveand
significant
(2)(b)and(c)
Positiveand
significant
(3)Tradefinance
proxynotused
(4)(b)Positiveand
significant
Note:Buch
alsoused
LogofFDIbybanks
aover
theperiod
1981to
1997(?)as
adependentvariable
inpanel
regression,
withlogofim
ports
asanindependent
variable.Theresults
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subsidiaries
1987to
1998,
(n¼
390)
Note
(1)isastock
variable,(2)to
(4)
are
flow
variables
ofthisregression
werenotshownin
thepaper.Buch
foundim
portsto
benegativeand
significant.(see
page51)
Moshirian
(2001)
FDIin
banking
from
Germany,
U.K
andU.S.
from
1983
(1)to
1995(4)
Quarterly
aggregate
data
Changein
log
ofbankforeign
assets
Changein
logof
bilateraltrade,
bilateraltrade
foreach
nation
weightedbyFDI
GMM
estimation
Separate
regressionsfor
each
nation
Bilateraltrade
positiveand
significantin
all
cases.Trade
effectsignificantly
stronger
for
Germany
65GoldbergandSaunders(1981b)consider
thisvariableameasure
of‘‘foreignfirm
penetrationinto
theU.S.markets....’’(p.370).
66GoldbergandSaunders(1981b)considered
thisresultto
dueto
agencies
conductingmuch
oftheiractivityin
tradefinance.,see
p.367.
67Thisvariable
appears
tohavebeenadded
totheMNC
asset
size
measure.
68Im
portswerefoundto
behighly
correlatedwithcapitalflow
andalsohighly
correlatedwithexports.Exportsdid
show
ahigh
correlationwithcapitalflow.Both
FDIandtrademeasureswereusedto
determinewhichclients
multinationalbankswere
accompanyinginto
thehost
country.
69See
footnote
above.
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trade needs), to the establishment of locally incorporated bank subsidiaries.26
This shift in focus is consistent with the defensive expansion argument of banks
following clients abroad, and indicates that trade measures are not necessarily
the best measure of the impact of defensive expansion motivations upon
multinational banking. A subsequent study by Moshirian and Van der Laan
(1998) considered a wider range of nations (U.S., U.K. and Germany) and
found the same result. Buch (2000, p. 50) found the same result for German
banks, using a longer time period and a different estimation method.27 This
argument could act as a partial explanation, (alongside collinearity problems),
for the mixed results found by Fieleke (1977), Dohner and Terrell (1990) and
Fisher and Molyneux (1996).
When studying multinational banking, Tschoegl (1997) also found a
substitution effect. However, in this case, as Norwegian exports increased, so
multinational banking in Norway decreased. Williams (1998a) found similar
results for foreign bank size in Australia, as did Goldberg et al. (1989a) in
the United States. These results are not incompatible with those of
Moshirian and Sim (1996). It can be concluded from this evidence that as
a bank’s home nation exports increase, so the opportunities for provision of
financial services, in both a multinational and international context, will
increase for banks from that country. Thus, increased exports from the ith
country are observed to result in the ith country banks expanding offshore.
Banks from the ith country are now able to provide multinational services
previously supplied by foreign banks operating in the ith country. The result
is a substitution effect. Goldberg et al. (1989a) argued that the substitution
effect could be due to exports being financed by the importing corporation in
the destination nation, thus producing the negative relationship between
foreign bank size in the host nation and exports. Goldberg et al. (1989a) also
argued that exporters will have foreign currency receivables and so have
incentives to borrow in these currencies and so generate a natural hedge. The
strength of this argument is somewhat reduced by the prevalent use of the
U.S. dollar in trade transactions. However, it is also not entirely clear that
the effects of imports and exports upon multinational bank performance can
be separated.
Williams (1998a and 1998b) found export and import measures to be highly
correlated. These measures were treated as interchangeable alternatives for
measuring trade finance effects. Miller and Parkhe (1998) also found this high
26 St-Hilaire and Whalley (1995) also consider this distinction important in order to measurecross-border flows in banking services.27 Buch (2000) also considered that banks must choose between multinational banking andinternational banking. However, Buch assumed that once the choice is made to adopt a mul-tinational banking strategy that this choice is irreversible due to the need for a branch network.Given the range of organisational forms available to the multinational bank, this assumption ofirreversibility is perhaps a little strong. Further, the empirical tests employed by Buch (2000) didnot address the issue of substitution between international and multinational banking.
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correlation, and were not able to discern any difference between the use of
imports, exports, or imports plus exports, consistent with Williams (1998a and
1998b). Grosse and Trevino (1996) found imports and exports to be correlated
at 0.82, but argued that this correlation did not impact on the sign or
significance of the other variables in their model. Thus, in many cases, it may not
be empirically possible to determine the extent of the substitution effects
discussed by Moshirian and Sim (1996) and Tschoegl (1997).
Due to substitution effects, exports and imports may have different effects
on the pattern of expansion by multinational banks when seeking to defend
their client base. However, some authors have not considered these effects
separately, and have instead measured bilateral trade (exports plus imports).28
Such studies include Fielecke (1977), Terrell (1979), Dean and Giddy (1981),
Cho (1985), Dohner and Terrell (1990), Miller and Parkhe (1998), Buch
(2000) and Moshirian (2001).29 While this approach does not allow any
conclusions to be drawn regarding the substitution between multinational
banking and international banking, it can be justified on the basis of the
potentially high correlation between exports and imports. This potentially
high correlation should be considered before any conclusions can be drawn
regarding substitution effects. In such a situation the researcher would be well
advised to consider using an appropriate instrumental variable before any
substitution effects could be accurately identified.30 Those studies that used
bilateral trade to measure defensive expansion effects generally found support
for banks expanding offshore to follow the trading activities of their clients.
As found by Grosse and Trevino (1996), the separate inclusion of imports and
exports in the same equation results in the two variables having opposite
signs, (imports, negative; exports, positive).31 Goldberg et al. (1989a) observed
that the import effect dominated the export effect, indicating that interna-
tional trade increases financial activity at the margins, as well as increasing
economic activity. Yamori (1998) dealt with this issue by using several
28 Cooper et al. (1989) used a variation on this theme and employed a measure of the net tradebalance (exports minus imports). However the trade balance measure was found to have limitedempirical significance, see Table 2.29 Moshirian (2001) used a weighted measure of bilateral trade in which bilateral trade by theith country (dependent variable nation) with the jth country was given a weight. The weight wasthat proportion of the ith countries total FDI in the jth nation. The weight was a constant forthe time period studied by Moshirian (2001).30 It would be expected, for example, that home nation GNP would be highly correlated withhome nation imports, but home nation GNP would have a lower correlation with home nationexports. Thus it could act as an appropriate instrumental variable for home nation imports.However, home nation GNP may also reflect relative growth effects (Goldberg and Saunders,1981a) or the opportunity costs of offshore expansion. These alternatives require careful choiceof the appropriate instrumental variable, and may complicate the accurate interpretation of anyresults.31 Grosse and Trevino were investigating the causes of FDI into the United States. Konopielko(1999) found a similar effect but did not address these issues. Buch (2000) also considered thisissue.
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different specifications of the defensive expansion measures applied to his
model.32 Grosse and Trevino (1996) speculated that the negative sign on
imports could reflect the competitive advantage of the United States vis a vis
the other country, resulting in less opportunity for foreign firms to invest in
the U.S. This competitive advantage argument is consistent with substitution
between international banking and multinational banking, but is not
conclusive due to the difficulties of statistical inference in the presence of
multicollinearity.
Substitution Effects and Developing Nations
The nature of the substitution effects differs between industrialised and
developing nations (Miller and Parkhe, 1998). In the case of industrialised
nations, a clear pattern of substitution between international banking and
multinational banking was observed for the trade measure. However, in the case
of developing nations, trade patterns were not observed to have any impact on
asset size, and the substitution effect was most apparent for office numbers.
However, Miller and Parkhe (1998) found strong evidence of a substitution
effect for developed nations. It was argued that this was possibly due to a net
suppression effect caused by the inclusion of an FDI measure in the same model,
obscuring the relationship between the dependent variables and the trade
measures.33 Miller and Parkhe (1998) concluded that a substitution effect was a
likely cause of their result, and argued that this could have been reinforced by a
currency clientele effect. Miller and Parkhe (1998) also argued that the ability to
provide trade finance at a distance for the trading nation, via electronic delivery,
removed the need for a physical presence to finance trade in developed banking
systems. The currency clientele effect (Yannapoulos, 1983) argues that bank
clients will seek banks with a home market in the country of origin of the
currency of transaction.34 As Miller and Parkhe’s (1998) sample was drawn from
U.S. banks in offshore markets, and the U.S. dollar is the main currency of trade
transactions, this is a reasonable conclusion. However, the finding of a
substitution effect outside the U.S. case indicates that the substitution effect
32 Yamori (1998) found the log of volume of trade (exports + imports) to be highly correlatedwith log of FDI and so used log (FDI + exports) to overcome this problem. Buch (2000) alsofound FDI measures to be highly correlated with trade measures and so used bilateral trade asan alternative for FDI. The study by Buch (2000) was conducted for German banks only. TheEuropean focus of both trade and investment, as well as the single nation focus are likelyexplanations for this high correlation.33 Miller and Parkhe (1998) considered the issue of multicollinearity, but stated that the in-fluence diagnostics did not support this conclusion. However, Miller and Parkhe (1998) appliedOLS estimation, with White’s (1980) correction for heteroskedasticity to pooled time seriescross section data, thus the estimation technique applied was not entirely appropriate to thedata type. As a result the underlying assumptions of OLS estimation may have been violated,leading to the possibility of biased, inconsistent or inefficient estimators (Hsiao, 1986; Baltagi,1995).34 See also Cooper et al. (1989), p. 4 and Sagari (1992), p. 101.
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extends beyond a currency clientele effect involving the U.S. dollar.35 Miller and
Parkhe’s (1998) finding that the substitution effect was not as apparent for
developing nations provides further evidence in this direction.36
Developing nations, by definition, will not possess a banking system that is as
sophisticated as those in developed nations.37 Thus, the option of providing
trade finance at a distance, via correspondent banking, is not as viable an option
as it is in developed nations. Miller and Parkhe (1998) found that trade flows
increased the number of offices in the host nation, but had no impact on asset
size. Thus, given the less developed nature of developing nations banking
infrastructure, a physical presence is required to oversee trade finance. The
alternative of the traditional (industrialised nation) model of relying upon
delegated monitoring via correspondent banking is not seen to be as satisfactory
as a physical, transaction-based presence. This physical presence linked to trade
finance, changes the usual cost-benefit relationship regarding the appropriate
location to book such trade loans.38 This produced the indeterminate result for
the trade measure in developing nations, as there now exists a stronger reason to
book trade loans locally rather than in the home market. Developed nations,
however, have more sophisticated financial markets and thus the scope for
substitution between alternative mechanisms to provide cross border transac-
tions is greater, without bearing the costs associated with less effective delegated
monitoring.
Information has a central role in the defensive expansion hypothesis, as well
as internalisation theory. Following clients may be motivated by the need for
effective delegated monitoring, (Ursacki and Vertinsky, 1992; Grosse and
Goldberg, 1991), as well as client retention. It is possible that the need for
delegated monitoring becomes more pressing in developing nations, due to the
relative immaturity of information dissemination resources in these nations.
Therefore, the motivations relating to defensive expansion may differ for
developing nations. Thus the use of internalisation theory provides a coherent
35 As Tschoegl (1997) has found evidence of substitution effect in studies extending beyond theU.S. case, the currency clientele argument is at best a partial explanation for any substitutioneffects.36 Cooper et al. (1989) found results that also suggest a substitution effect. Cooper et al. (1989)segmented their sample into European and Pacific Rim sub-samples and found that the be-haviour of the two sub-samples differed. However, this result cannot be considered to be asconclusive as that of Miller and Parkhe (1998), as Cooper et al. (1989) had developed nations inboth sub samples, and a Japan effect is likely to have produced the results for the Pacific Rim.Further, as shown in Table 2, the defensive expansion measure employed by Cooper et al.(1989) was generally insignificant.37 As one characteristic of developed nations, as opposed to developing nations, is the pos-session of a more sophisticated financial infrastructure.38 In this context the bank initiating the transaction can choose to locate the resulting assets (inan accounting and reporting sense) in one of two locations, head office or the host nation. Thecapital market imperfections in the host nation mean that monitoring from the head officebecomes more costly. As a result the transaction is booked in the host nation to ensure optimalmonitoring.
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framework for the interpretation of these results, that are at first slightly
contradictory.
Do Trade Measures reflect Defensive Expansion?
Trade and direct investment serve similar purposes in global resource allocation
and firms will select investment as an alternative to trade only if there are
barriers to trade (Walter and Gray, 1983). Thus, in some cases banks may follow
trading activities and, in others, investment activities. Trade financing has also
been suggested as relating to expertise in managing currency risk, or expertise in
a particular currency. This could be related to the currency clientele argument of
Aliber (1984) and Yannapoulos (1983). It has also been argued that the
provision of trade financing is an important transaction-based service, in which
multinational banks have considerable expertise (Cho, 1985). By specialising in
the provision of trade-related services, the multinational bank establishes
procedures and technology to conduct these transactions at low cost.39 Thus, by
expanding into countries with which the bank’s home country has considerable
trade links, the multinational bank is continuing to provide services in which it
has a low marginal cost of production. It is not clear if following trade-related
clients, product specialisation, or currency specialisation influences the source of
this lower cost of production.40 Thus, the defensive expansion hypothesis is not
unambiguously supported by evidence based upon trade finance measures.
The use of investment and trade variables to measure defensive expansion
effects by authors such as Fieleke (1977), Terrell and Key (1977), Khoury (1980),
Goldberg and Saunders (1981a) and Ball and Tschoegl (1982) was criticised by
Jain (1986). It is not clear if the investment or trade measures used in these
studies were in fact a double counting of the same activity. Jain (1986) argued
that this problem would be particularly prevalent when banks advance funds
specifically tied to a trade transaction. In this case the bank loan and the trade
measure double count the same transaction. When estimating such a relation-
ship empirically, researchers are in fact testing a tautology.41 Overall, internali-
sation theory provides a basis for interpretation when using trade finance
measures, and that is one of market failure. However, internalisation theory
alone does not aid in determining which aspect of market failure is being
measured by trade finance variables.
39 This is consistent with the surplus entrepreneurship hypothesis of Kindleberger (1969) andGrubel (1977).40 Each of these firm specific advantages can be considered as examples of market failure. Ineach case the firm possesses particular skills or resources, which are not readily tradeable in theopen marketplace and require a physical presence for its full exploitation.41 Jain (1986, p. 74) argued that this problem is ‘... less serious..’ when the proportion of bankloans due to trade financing is small. This problem appears to be an inescapable problem inresearch of this type.
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Buch (2000) considered that measures of Foreign Direct Investment are
potentially endogenous to a model of offshore activity by banks. As a result
Buch employed a measure of bilateral trade (imports plus exports) as an
alternative measure of following clients. While this approach dealt with the
problem of simultaneity between foreign direct investment and multinational
banking, it did not deal with the endogeniety of the trade measures. However, as
will be discussed below, a time series approach, as also used by Buch (2000),
offers a mechanism to overcome this problem.
Defensive Expansion and Economic Cycles
The study by Dohner and Terrell (1991) differs from many of the conventional
studies of defensive expansion. The usual procedure is to test for a relationship
between some measure of multinational banking, such as foreign bank assets
and the defensive expansion proxy. Dohner and Terrell (1991) tested for a
relationship between total assets of multinational banks, including domestic
assets and two defensive expansion proxies, with all variables being scaled by
GNP. The Dohner and Terrell (1991) study used total bank assets as a measure
of both domestic and multinational banking. Thus, it is not clear if this
approach actually measured the determinants of the multinational portion of the
balance sheet, or if it measured the macroeconomic factors determining the
domestic portion of total assets. This is due to two problems. The first is
associated with scaling by GNP, as discussed below. The second problem is that
banks from countries with increasing foreign investment and trade will also
experience increasing domestic demand for banking services, as discussed in the
model proposed by Khoury (1979). Thus, the results of Dohner and Terrell
(1991) should be viewed with some caution in the context of determinants of
multinationality. This is further supported by the concern of Terrell, Dohner
and Lowrey (1990)42 that trade measure may be collinear with other economic
cycle variables, as also found by Goldberg and Grosse (1994). Goldberg and
Grosse (1994) found local financial market size to be highly correlated with trade
and FDI measures. Brealey and Kaplanis (1996) also found imports and exports
to be highly correlated with GDP. Further, Brealey and Kaplanis (1996) found
that both home and host GDP have a major impact upon the number of foreign
banks in the host nation, and that the incremental impact of trade variables was
far smaller.43 Buch (2000) found that the elasticity of foreign activity with
respect to host nation GDP (above 1) was greater than that for FDI (below 1)
for the German case. Moshirian (2001) also found that host nation GDP is
42 A summary of this paper was published in the Federal Reserve Bulletin, V16, N2, pp 39–50.The full version was published in the North American Review of Economics and Finance, V1, N1,pp 53–73.43 Brealey and Kaplanis (1996) found that host GDP explained on average 31% of the locationdecision, parent GDP explained on average 57% of the location decision, but that the tradevariable had an incremental R2 of between 0.04 and 0.07. See Tables 1 and 2 for more details.
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particularly relevant for German banks. Thus, care should be taken to allow for
economic cycle effects when including trade variables to measure defensive
expansion effects.
Several authors (Cho, 1985; Dean and Giddy, 1981) scaled the investment
measure that is acting as a proxy for defensive expansion, by host GNP. In a
similar vein, Dohner and Terrell (1991) scaled a trade measure by GNP, as did
Moshirian and Sim (1996).44 However, the host size hypothesis (Klopstock,
1973; Nigh et al., 1986; Wengel, 1995) considers that foreign banks expand into
new markets due to the opportunities offered in that market. When scaling the
investment proxy by GNP it is not clear if the new variable is measuring host
market opportunities or defensive expansion. A further problem in this vein is
the correlation observed between trade measures, host market size and
investment measures. This issue was discussed by Jain (1986), and then found
empirically by Jain (1986), Cho (1985) and Goldberg and Grosse (1994). The
study by Dohner and Terrell (1991) also showed some evidence of collinearity
between trade measures and a capital account measure used to proxy investment
flows.45 Moshirian and Sim (1996) also found evidence of collinearity between
several of the economic variables used, and unlike many of the previous studies,
addressed this issue with both instrumental variable and generalised method of
moments estimation. Thus, unless attention is paid to the estimation technique,
it may not be clear if the banks are following clients, financing trade
opportunities, or expanding into a market that offers growth opportunities.
Defensive Expansion and Offshore Investment
As mentioned above, as an alternative to following the trading activities of their
clients, multinational banks may expand offshore to follow their client’s offshore
investment. In general, empirical tests have found foreign bank activity in the
host country to be significantly and positively related to investment activity from
the home country.46 Table 1 details these results. A survey of multinational
corporations from the United States operating in France, found that 52% of the
respondents retained their traditional bank relationship when expanding in to a
new country (Pastre, 1981). Seth and Quijano (1991) conducted an analysis of
Japanese banks operating in the United States, but they did not provide any
44 Moshirian and Sim (1996) modelled the provision of international financial services, ie in-ternational banking, rather than multinational banking.45 This is not surprising, as both trade patterns and capital flows would potentially representdefensive expansion effects. However, as discussed previously there are some caveats associatedwith stating that trade measures reflect defensive expansion alone.46 This evidence is strongest for industrialised nations, in the case of developing nations theevidence is less unambiguous. Miller and Parkhe (1998) found no evidence for FDI affectingmultinational banking in developing nations, while Sabi (1988) found U.S. FDI in the hostnation increased U.S. branch assets in 23 LDCs. However, mutual causation may account forSabi’s (1988) results, as discussed earlier. As indicated in a previous footnote, there are potentialconcerns with the estimation method applied by Miller and Parkhe (1998).
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empirical results. Nevertheless, Seth and Quijano (1991) considered that
Japanese banks at first lend mainly to Japanese non-banks. They observed that
this pattern has now changed and the Japanese owned banks are now competing
actively with the U.S. banks, outside of the Japanese bank’s traditional client
base. This is consistent with the beachhead argument of Fieleke (1977), as
discussed above. Seth (1994) drew similar conclusions, while arguing that
foreign bank entry had resulted in an increase in excess capacity in domestic
U.S. banks.47
Time Series Issues
The issue of time series properties in the defensive expansion effect has been
considered in relatively few papers to date. Those papers adopting a time series
approach have reached slightly different conclusions. Sabi (1995) tested the
defensive expansion hypothesis using Granger causality, and found that foreign
bank investment in the host nation Granger-causes non-bank foreign direct
investment, but that non-bank foreign investment does not result in foreign
bank investment. These results do not imply that the defensive expansion effect
does not initially result in foreign bank investment, but Sabi’s (1995) results do
yield the conclusion that defensive expansion does not sustain long-term foreign
bank investment. These results are confirmed, from a different perspective, by
Williams (1998b). Unlike Sabi (1995), Williams (1998b) studied the time series
effects of defensive expansion by incorporating a lagged measure of capital flow
into the estimated models. Williams (1998b) found that this lagged variable had
a significant relationship with foreign bank size in Australia, but not foreign
bank profits. The current values of capital flow were found to have no
relationship with either of the performance measures used. This study concluded
that there was evidence of a beachhead effect, although its economic value was
small, contributing, on average, $A100,000 to the size of foreign banks. Buch
(2000) also considered the time dimension in the defensive expansion effect and
found that within an error correction framework, the foreign branch assets of
German banks were increased by the total German FDI (including bank FDI)
from the previous period. The use of a lagged FDI variable by Williams (1998b)
and Buch (2000) offers one method of addressing the problem associated with
potential simultaneity between FDI and multinational banking activity.48 As the
FDI variable employed by Buch (2000) included Bank FDI, it is possible that
this result reflected the leader follower behaviour discussed by Barron and Valev
(2000).
47 The term excess capacity was not well defined or measured in Seth (1994).48 Cooper et al. (1989) also used one lag of all independent variables in order to determine anytime series effects. However, the lag of the trade measure used was not found to be significant.Further, Cooper et al. (1989) employed OLS estimation with pooled data, which may haveresulted in biased or inconsistent estimates.
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Seth et al. (1998) found evidence to support the beachhead approach to
multinational banking in the United States, combined with some cyclical effects.
The analysis conducted by Seth et al. (1998) relied upon the assumption that all
U.S. bank borrowing by foreign non-banks in the U.S. was from foreign
multinational banks of the same nationality. The authors admit (page 8) that
this assumption is extreme. Further, their conclusions are drawn from the use of
the juxtaposition technique used by Seth and Quijano (1993), which does not
involve statistical testing. However, given these caveats, the study did demon-
strate that foreign banks in the United States extended their lending beyond
foreign non-banks of the same nationality, but that the nature of the beachhead
effect differed across nationalities of origin. The study of Barron and Valev
(2000) introduces an interesting second dimension to the time series issue by
demonstrating that larger banks tend to lead smaller banks into new locations.
This provides a further possibility that parent bank size interacts with the time
series properties of defensive expansion. The importance of controlling for
parent size is discussed in the next section.
Parent Size Effect: An Omitted Variable?
Many of the studies of multinational banking to date have focussed upon data
drawn at the industry level and have tested models using macroeconomic
variables. As discussed by Tschoegl (1997), care should be taken with the results
of studies of this type with regard to the defensive expansion hypothesis. Larger
banks are generally more likely to have MNCs from their home countries as
clients, and so are more likely to accompany these clients abroad. Such banks
are also more likely to have the volumes of trade financing that justify offshore
expansion. Thus, any study of defensive expansion should include a control for
parent size effects. The parent size effect argues that there is a causal relationship
between multinationality and size (Buckley and Casson, 1991; Dunning, 1988).
In the case of multinational banks it is not clear which firm attributes are being
measured by firm size. Bank capital base is considered to be a key determinant of
international competitiveness (Hirtle, 1991; Thornton, 1992). Measures of bank
size such as size of equity capital, size of deposits, assets, number of countries of
operation and Eurocurrency activity have been found to be highly correlated
with each other (Cho, 1985). Further, Barron and Valev (2000) argue that larger
banks (wealthier banks) are able to purchase information that allows superior
informed decisions about where to invest. This argument would indicate that
larger banks possess economies of scale advantages in information management.
Barron and Valev (2000) found that larger banks tend to lead smaller banks
offshore, at least in the U.S. case, thus size has an important role in offshore
expansion by banks, and its effects should be considered. Overall, it is not clear
exactly which attribute firm size is supposed to measure. However, given this
theoretical and empirical evidence, models of defensive expansion effects in
multinational banking that do not include a control for parent size effects will
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not be able to satisfactorily distinguish between the competing hypotheses
outlined above.
Does Following Clients Increase Profits?
Most studies to date have focussed upon the impact of following clients upon
some measure of foreign bank presence in the host nation. In general, the results
of these studies have supported the defensive expansion hypothesis, with the
caveats mentioned above. However, while following clients increases size of
presence in the host market, the impact on profits is more ambiguous. Relatively
few studies have considered the question ‘‘Does following clients increase
profits?’’ There have been three main approaches adopted to address this issue.
The first, and most common method, has been to respecify the dependent
variable as a profits measure and then use the same set of independent variables
as used in a size of presence equation (Cho, 1985; Williams, 1996, 1998a, 1998b).
In these cases the profits measure employed is typically return on equity or
return on assets in the host market.49 As Cho (1985) found the defensive
expansion measure to be highly correlated with the trade finance measure and
the host market measure, the host market measure was used. Thus, this study is
inconclusive with regard to the impact of following clients in the host market. In
the case of the other studies applying this approach, the evidence supporting
defensive expansion increasing profits in the host market is at best weak. The
single nation study of Williams (1996) found no significant relationship between
Japanese FDI in Australia and Japanese bank profits in Australia. Using a wider
sample of bank nationalities, Williams (1998a and 1998b) found that following
clients does increase profits, but that the economic impact was small.50
The studies by Molyneux et al. (1998) and Molyneux and Seth (1998) provide
the second strand of the application of the defensive expansion hypothesis to
multinational bank profits. In both of these cases the authors argued that profits
and growth in loans are determined as a simultaneous process. Previous studies
have considered profits and size of presence to be determined by the same
variables, but did not consider the potential simultaneity of their determination.
The studies by Molyneux et al. (1998) and Molyneux and Seth (1998) produced
separate models of profits and growth, which were then modelled simultaneously
using two stage least squares estimation. The defensive expansion measure,
(FDI), was included in the growth equation only and was not found to have a
significant relationship with the growth measure.
Studies of the profits of firms operating across borders must always contend
with the possibility that transfer pricing to minimise taxes will act to produce
49 Giddy (1983) focussed upon the profits of multinational banks, but the results did not includea defensive expansion measure.50 Williams (1998a) found that following clients increased profits in the first year of operations,but had no impact thereafter, consistent with the beachhead argument.
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systematic biases. Due to the difficulty in determining the type and nature of
transfer pricing, this is an issue that will always accompany research of this type,
which will be discussed below. The third type of profits study that included a
defensive expansion measure, Waheed and Mathur (1995), employed an event
study methodology and so was able to circumvent the problems associated with
transfer pricing biasing the reported profits measure. Waheed and Mathur
(1995) considered the share market reaction to announcements of offshore
expansion by U.S. banks. Using the two day ()1, 0) standardised cumulative
average residuals from the event study, Waheed and Mathur (1995) modelled the
factors that determined share price reactions. The defensive expansion measure
used, (FDI), was found to have a negative and significant relationship with the
residuals from the event study.51 The authors also attempted to determine if
there were any differences attributable to the organisational form adopted.
However, data availability problems limited the availability of the FDI measure
for most of the regressions focussing upon the impact of organisational form
choice. Thus, at this stage it is difficult to determine if the organisational form
adopted impacts upon the profitability of following clients.
Foreign banks in the U.S. have been found to be less profitable than domestic
U.S. banks (De Young and Nolle, 1996; Peek et al., 1999). These lower profits
have been attributed to input inefficiencies resulting from an over-reliance upon
purchased funds (De Young and Nolle, 1996).52 Peek et al. (1999) found that
this lower profitability, in the case of foreign acquisition of U.S. banks, could
also be attributed to the pre-acquisition features of the acquired banks. In
considering this lower profitability of foreign banks in the U.S., Peek et al.
(1999, p. 602) concluded ‘‘Even if the U.S. loans to those customers are not
particularly profitable, the lending relationship may still be in the best interest of
the bank.’’ Studies of foreign banks in the host nation are observing the marginal
contribution to profits of following clients abroad. However, foreign banks are
motivated by the value of the total banking relationship. The difference between
the motivation of the foreign banks and their observed performance may
account for the, to date, relatively weak support for the proposition that
following clients increases reported profits.
Overall, using three different approaches, the results to date indicate that
following clients does not increase bank profits. This conclusion must be
tempered by several caveats. The first is the relatively few studies of the impact
of following clients upon multinational bank profits. The next caveat is that
transfer pricing does introduce the possibility of biases in profits measures
obtained from publicly available data sources. It is unlikely that all banks in a
51 Waheed and Mathur (1995) found that the share market reaction to offshore expansionannouncements by banks was negative, but that there were differences between organisationalforms announced, with branches being a preferred organisational form.52 De Young and Nolle concluded that foreign banks in the U.S. actively sought to buy marketshare and were willing to sacrifice profits in pursuit of this goal.
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sample will be subject to the same transfer pricing incentives, due to factors
such as tax losses carried forward, different home nation tax rates and different
home nation treatment of foreign tax credits. Thus, the transfer pricing
problem can be dealt with to a certain degree by employing samples that
include banks from a variety of countries, and preferably utilising a long time
series.53 Berger et al. (2000, p 60) argued that their results were consistent with
global efficiency rather than ‘accounting shifts of income’. Finally, as pointed
out by Buch (2000, p. 38), it is possible there is a range of inaction due to entry
and exit costs. Thus, banks do not react immediately to changes in profits
unless they are substantial. Further studies of multinational bank profits using
long time series that incorporate longer lags in explanatory variables may prove
fruitful.54 Overall, the area of multinational bank profits has been relatively
neglected by the empirical literature. Much of this neglect is no doubt due to
difficulties associated with data availability. Thus, as data sources improve, the
study of multinational bank profits will provide fruitful opportunities for
research.
V. CONCLUSIONS: WHERE TO FROM HERE?
This paper has canvassed a number of issues relating to the study of the
defensive expansion hypothesis in multinational banking. Some of these issues
are those recurrent when conducting empirical studies in a wide variety of
circumstances, while other issues provide direction for future endeavour when
researching multinational banking. The potential causation between following
clients and the parent size effect dictates the need to employ firm level data in
any future studies. The need for firm level data is directed by the need to include
a control measure of parent size to accurately distinguish between the competing
alternatives offered by the parent size effect and the defensive expansion
hypothesis. This issue does bring with it some potential problems for research in
terms of data availability. An interesting possibility for further research is the
consideration of second order effects that may be discerned by including a
variable that measures the interaction between parent size and defensive
expansion measures.
The use of trade measures to measure the defensive expansion effect
introduces several ambiguities. The first is the question of whether a trade-
based measure reflects following clients, expertise in trade finance (and/or
foreign exchange expertise), or a parent size effect. The second ambiguity is due
to substitution effects between multinational and international banking. These
53 Thornton (1992) considered the impact of taxes upon Japanese bank size in London. Anegative relationship was found between Japanese bank size and tax rates. However, as this wasa single nation study and focussed upon size rather than profits, these results cannot be readilyextrapolated to cross border profits of banks.54 To date those studies that have employed a lag in independent variables have typicallyemployed one lag. The main exception to date has been Thonton (1992), see Table 1.
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substitution effects are most apparent for developed nations, where the scope for
choosing between alternative delivery systems is greatest. The third source of
ambiguity is due to collinearity. The use of both import and export measures in
the same model introduces potential multicollinearity. Further, these trade
measures also exhibit tendency towards collinearity with other economic cycle
measures. Collinearity is an inescapable problem in research of this type, and its
potential impact upon empirical results should be considered. As with all
empirical studies, the issue of model specification should be considered at all
times. As previously mentioned, the role of economic cycle variables, particu-
larly their time series properties, should be examined with a view to their impact
upon any results. Care should also be taken when interpreting studies with a
small number of observations, particularly when the sample has a narrow focus
such as a single year or a single nation.
Overall, the results to date support the application of the defensive expansion
hypothesis to multinational banking, particularly when following clients is
considered in terms of foreign investment. However, care should be taken in
future studies to ensure that the chosen measure of foreign investment does not
include portfolio investment by fund managers. Portfolio investment is unlikely
to result in MNBs choosing to expand into a foreign market. This survey has
indicated that there exists more non-U.S. studies than previously considered (22
identified). Further, this survey has demonstrated that the total number of
studies of banks following clients abroad is greater than previously credited by
the literature.
While following clients abroad increases multinational bank size, it has not
been shown to impact significantly upon reported profits. The relatively few
studies of MNB profits to date means that the relationship between defensive
expansion and profits is ambiguous. As a result, the area of MNB profits offers a
potentially rich area of future research. The potential is reduced by problems
associated with data availability and quality of the available data. As with all
studies of cross-border profits, the issue of transfer pricing acts to cloud any
results. However, as argued in this paper, studies of cross-border profits should
include a range of firms from a variety of nations, preferably drawn over a
reasonable time period. Such a sample selection will help to ameliorate the
problems associated with transfer pricing. Relatively recent developments in
modelling bank profit efficiency also offer fruitful potential avenues for research
into multinational bank profits. Given that Berger et al. (2000) concluded that
global efficiency was the prime source of their results rather than transfer
pricing, this approach provides an avenue for a fruitful stream of future
research.
A further area of potentially valuable research is the dynamics of multina-
tional banking. The issues of beachhead effects and mutual causation have
received relatively limited attention to date. Given the advances that have been
made in time series techniques over the past two decades, there is considerable
scope for further research that offers potentially valuable insight.
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VII. NOTE ON CONTRIBUTOR/ACKNOWLEDGMENTS
Barry Williams is Associate Professor of Finance at the School of Business,
Bond University, Australia.
The author is grateful for comments from John Foster, Ian Zimmer, Noel
Gaston, Art Goldsmith and an anonymous referee. All remaining errors remain
the responsibility of the author.
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