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    O R I G I N A L R E S E A R C H

    Corporate governance and the stock market reaction

    to new product announcements

    Wen-Chun Lin   • Shao-Chi Chang

    Published online: 21 July 2011  Springer Science+Business Media, LLC 2011

    Abstract   This study examines the explanatory power of corporate governance mecha-

    nisms on the wealth effect of firms’ new product strategies. We show that board size, board

    independence, audit committee independence, CEO equity-based pay, analyst following

    and shareholder rights are all of significance in explaining the variations in the wealth

    effect of new product introductions. Our results reveal that the new product strategies

    announced by firms with better corporate governance mechanisms tend to receive higher

    stock market valuations than those of firms with poorer governance mechanisms. Thisstudy provides empirical support for the notion that enhanced governance mechanisms can

    reduce both agency and information asymmetry problems for firms announcing new

    products.

    Keywords   Corporate governance    New product introduction    Wealth effect

    JEL Classification   G14    G30

    1 Introduction

    In this study, we set out to explore the impact of corporate governance on the wealth effect

    of firms’ new product introductions, arguing that corporate governance mechanisms can

    reduce agency costs and provide certification of the quality of information contained

    in new product announcements, and propose that new product announcements by firms

    W.-C. Lin (&)

    Department of Finance, College of Management, Providence University, No. 200, Chungchi Road,Taichung, Taiwan

    e-mail: [email protected]

    S.-C. Chang

    Department of Business Administration, College of Management, National Cheng Kung University,

    No. 1, University Road, Tainan, Taiwan

    e-mail: [email protected]

     1 3

    Rev Quant Finan Acc (2012) 39:273–291

    DOI 10.1007/s11156-011-0248-x

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    with better corporate governance mechanisms are likely to receive a more positive stock 

    market reaction.

    New product introductions play a crucial role in developing and maintaining the

    competitive advantage of a company. Firms that are able to deliver more new products to

    the market generally create better opportunities for differentiation and competitiveadvantage. However, new product introductions do not necessarily create firm value,  per 

    se, as the development of new products is often risky, with failure rates reaching as high as

    60 per cent (Pauwels et al.  2004). In addition, the commercialization of new products does

    not guarantee financial success, as the additional sales revenues from new products may be

    insufficient to cover the significant development and launch costs (Chaney et al.   1991).

    Furthermore, the competitive advantage from new products may quickly disappear, largely

    as a result of the rapid imitation of such products by competitors, or the effects of short

    product life cycles.

    Although prior studies generally document positive stock market reactions to

    announcements of new product introductions (Woolridge  1988; Kelm et al.  1995; Chen

    and Ho 1997), considerable variations are found in terms of individual announcing firms.

    Chen (2008) finds that new product announcements provide only about 58 per cent of US

    firms with positive abnormal returns, whilst Chen and Ho (1997) report similar evidence

    for Singaporean firms. Determining why there are discrepancies in how investors perceive

    and evaluate new products based upon their initial announcements would seem to be of 

    considerable interest to both academics and business professionals alike. This study

    investigates the issue from the perspective of the impact a firm’s corporate governance

    mechanisms may have on this.

    As new product development generally involves greater information asymmetrybetween managers and external—and potentially adversarial—parties such as investors,

    analysts, suppliers, employees, unions and competitors, it is difficult for outsiders to make

    effective valuations of new product announcements. One reason is that new products are

    usually unique to the developing firms, making it extremely difficult to assess their value

    based upon observations of the performance of similar products in other comparable firms.

    Furthermore, information disclosure of new product introductions is not mandatory (Eccles

    and Kahn   1998), causing disclosure incentives for different firms to be quite diverse:

    Whilst some firms may provide information on a voluntary basis in order to reduce

    information asymmetry, other firms may disclose quite specific information to deliberately

    overstate the value of their products (Eagly et al.  1978; Frost   1997; Koch  2002; Mercer2004). Thus, outsiders evaluating a new product announcement are not only facing the

    issue of information asymmetry, but must also attempt to identify the underlying motives

    of those firms that do voluntarily disclose information. As such, the quality of corporate

    governance may convey important signals of the underlying motives of new product

    investments and may provide important certification effects on information that is vol-

    untarily disclosed as well as on new product announcements.

    Agency problems may further complicate the valuation of new product introductions

    (Wu 2008); indeed, it has been demonstrated within the prior literature that with the sep-

    aration of ownership and control, managers may make capital and human resourceinvestment decisions for their private interests at the expense of shareholder wealth (Wei

    and Zhang 2008). For example, managers cannot hedge their investment risk as easily as

    risk-neutral shareholders can, who can diversify their risk by holding diversified portfolios.

    As a result, they may reduce such risks by investing in projects which are less risky, but

    which also yield lower returns. Another agency issue is that of poorly functioning internal

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    control, which Jensen (1993) argues is the reason why R&D investments in many large firms

    fail to lead to any increase in firm value.

    Thus, well-functioning corporate governance mechanisms play crucial roles in miti-

    gating agency costs (Claessens et al.   2002; Brunello et al.   2003; Singh and Davidson

    2003). Firstly, such mechanisms provide internal and external monitoring which dis-courages the pursuit of private interests by managers, thereby maintaining management

    discipline. Several studies find that firms with boards and audit committees that are more

    independent than otherwise similar firms—where such independence is measured by the

    number of outside directors—demonstrate less earnings management and higher quality

    disclosures (Beasley 1996; Fama and Jensen  1983; Gibbs 1993; Klein 2002; Wild 1996).

    This is because the board of directors is the highest internal control mechanism responsible

    for monitoring the actions of senior managers. Klein (2002) further states that the struc-

    turing of boards with greater independence from the CEO will be more effective in

    monitoring the corporate financial accounting process. Furthermore, less earnings man-

    agement is also discernible amongst firms with boards and audit committees which possess

    greater financial expertise, and which meet more frequently (Xie et al.  2003). Kim et al.

    (2006) find that firms with an audit committee and/or a larger percentage of outside

    directors command higher market valuations, arguing that these effects occur because

    investors place a higher valuation on the same earnings stream for such firms.

    Other studies suggest that corporate governance mechanisms help to deal with agency

    problems and the subsequent implementation of efficient investment decisions through

    aligning the interests of managers and shareholders (Cornett et al.   2003; Gompers et al.

    2003; Pantzalis et al.  1998; Luo and Hachiya   2005). This can be achieved through sub-

    stantial stock concentrations and management stockholdings (Hill and Snell   1988) andeffective incentive contracts that include the appropriate compensation of managers rela-

    tive to the performance of the firm—such as through equity-based compensation plans

    (Bizjak et al.1993; Coles et al.  2001). These mechanisms are effective as they cause the

    personal wealth of a CEO to be increasingly dependent on the value of the firm. For

    example, if compensation plans place significant emphasis on short-term stock returns, and

    little or no emphasis on future performance, managers may exhibit prejudiced behavior

    towards either over- or under-investment, while by implementing the above corporate

    government mechanisms the CEO will have less incentive to pursue investments in pro-

     jects which do not increase shareholder value.

    Prior studies argue that corporate governance is an important consideration in cor-porate investment, including mergers and acquisitions (Agrawal and Mandelker   1987;

    Datta et al.   2001), corporate diversification (Hill and Snell   1988; Denis et al.   1997;

    Anderson et al.   2000) and firm restructuring (Gibbs   1993; Hoskisson et al.   1994).

    However, to the best of our knowledge, no previous study has investigated the influ-

    ence of corporate governance on the reaction by the stock market to new product

    introductions. We therefore examine the relationship between corporate governance

    mechanisms (specifically board size and independence, audit committee independence,

    CEO equity-based compensation, analysts’ following, and shareholder rights) and the

    announcement effects on stock prices of announcing firms using a sample of newproducts announcements by US firms.

    The remainder of this paper is organized as follows: Sect. 2 provides the development of 

    our hypotheses. The sample selection and variable measure are presented in Sect.   3,

    followed in Sect. 4  by the analysis of our empirical results. Finally, the conclusions drawn

    from this study are discussed in the closing section.

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    2 Hypothesis development

    According to agency theory, boards of directors exist to ensure that shareholder interests

    are appropriately pursued and to monitor managers on behalf of shareholders. This is

    necessary because the relationships between managers and shareholders with regard to theorganizational processes and outcomes are fundamentally different (Daily et al.   2003;

    Jensen and Meckling 1976). While ordinary shareholders may be considered risk neutral,

    as they can diversify their risks through their portfolios (Wiseman and Gomez-Mejia

    1998), managers are more likely to be risk-averse, as they cannot diversify their risks so

    easily. For example, in terms of innovations, failures will not only reduce a firm’s short-

    term performance and thereby lower management compensation, but they can also damage

    the reputation of the executives involved and thereby increase their risk of unemployment.

    To counter such risk aversion, stakeholders may be heavily reliant on corporate gov-

    ernance mechanisms, using monitoring or incentives to align their risk differentials.

    However, whilst increased monitoring can, to some degree, help to resolve agency con-

    flicts, its effectiveness is also limited by potential information asymmetry. In this study, we

    examine specific governance mechanism characteristics, discussing the relationship

    between the monitoring and information certification effects of governance and the stock 

    market reaction to new product introductions.

    2.1 Board size

    A corporate board improves the performance of a firm by monitoring the quality of 

    managerial decisions and providing specialized resources (Monks and Minow  1995). Theeffect of board size on firm performance is, however, inconclusive. A larger board is

    valuable for the breadth of its services, and often shows that a firm has directors from a

    wide variety of backgrounds (Chaganti et al. 1985). Furthermore, since innovation projects

    usually involve greater uncertainty in the development and commercialization stages, the

    wider range of knowledge and services offered by a larger board could be of considerable

    benefit in guiding investment decisions. Nevertheless, Lipton and Lorsch (1992) and

    Jensen (1993) argue that large boards are more difficult to coordinate, and can be less

    effective as a controlling body, whilst Yermack (1996) and Lee and Lee (2009) also argues

    that board size is inversely related with firm value. Thus, as the impact of board size on the

    reaction by the stock market to new product introductions remains ambiguous, we proposethe following two alternative hypotheses:

    Hypothesis 1a: board size is positively associated with stock market reaction to new

    product introductions.

    Hypothesis 1b: board size is negatively associated with stock market reaction to new

    product introductions.

    2.2 Board independence

    The second corporate mechanism we examine in this study is board independence. Notonly do independent directors provide professional expertise, but they can also indepen-

    dently oversee and monitor senior management. Therefore, it is argued in numerous studies

    that the effectiveness of corporate governance is positively associated with board inde-

    pendence. For example, both Fama (1980) and Fama and Jensen (1983) argue that inde-

    pendent boards are more likely to make decisions that are consistent with the maximization

    of shareholder wealth. Weisbach (1988) and Lee and Lee (2009) suggests that a board

    276 W.-C. Lin, S.-C. Chang

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    which is dominated by independent directors is more likely to respond to poor performance

    by dismissing the CEO;. Weisbach (1993) goes on to argue that independent directors are

    effective in monitoring the decisions taken by managers, suggesting that with a rise in the

    number of independent directors, there is a corresponding reduction in the probability of a

    hostile takeover.Furthermore, the independence of the board has been found to have a positive correlation

    with the quality of the information disclosed by a firm, where Farber (2005) and Beasley et al.

    (2000) show that firms which fraudulently manipulate their financial statements have fewer

    independent board members. Klein (2002) also suggests that firms which have more inde-

    pendent board members are less likely to encounter earnings management problems.

    However, Hermalin and Weisbach (1991) argue that it may be difficult for independent

    directors to monitor senior management officials since they can often control the board-

    selection process, whilst independent directors may have problems in ascertaining the

    value of the day-to-day operations of the company. Hermalin and Weisbach ( 1991) also

    argue that an independent board only affects extraordinary events, such as unusually poor

    performance. The net effect of board independence is therefore ambiguous. Therefore, we

    follow the prior studies to hypothesize that:

    Hypothesis 2a: board independence is positively associated with stock market reaction

    to new product introductions.

    Hypothesis 2b: board independence is negatively associated with stock market reaction

    to new product introductions.

    2.3 Audit committee independence

    An audit committee is a sub-committee of a company’s main board of directors which is

    established to increase the credibility of audited financial statements as well as to help the

    board meet its responsibilities. The members of the audit committee meetg regularly to

    review the company’s financial statements and to audit its processes and internal control

    systems. Independent directors are expected to improve the effectiveness of the audit board as

    a monitoring device, for example by making it more difficult for departing CEOs to

    manipulate accruals (Reitenga and Tearney 2003), thus reducing the likelihood of fraudulent

    financial reporting (Beasley 1996; Beasley et al. 2000). As such, we expect to find a positive

    relationship between independent directors on the audit committee, along with increases in

    both the monitoring effect and the wealth effect of firms announcing new product strategies:Hypothesis 3: audit committee independence is positively associated with stock market

    reaction to new product introductions.

    2.4 CEO equity-based pay

    Well-designed executive compensation plans, which include equity ownership, can help to

    align the interests of managers and shareholders (Datta et al.  2001; Masulis et al.   2007;

    Bauman and Shaw  2006). The alignment of shareholder interests with managerial incen-

    tives suggests a positive relationship between a firm’s performance and its governancestructure, essentially because the latter is designed to reduce the agency costs arising from

    the separation of ownership and control. Murphy and Dial (1995) show that stock-based

    compensation is important in executing corporate downsizing, resulting in the transference

    of resources to higher-valued opportunities, whilst Datta et al. (2001) show that an

    acquiring firm’s compensation structure influences both the stock price and responses to

    acquisition announcements by the bidding firms.

    Corporate governance and the stock market reaction 277

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    Based on the above, investors can assume that firms whose CEOs’ pay is equity-based

    will pursue new product innovations that are expected to increase firm value (and thus

    CEO wealth). We therefore construct the following hypothesis:

    Hypothesis 4: CEO equity-based pay is positively associated with the stock market

    reaction to new product introductions.

    2.5 Analyst following

    By collecting, analyzing and disseminating information on a firm, analysts play a crucial

    role in helping to the reduce agency costs associated with the separation of ownership and

    control (Jensen and Meckling 1976) as they are seen as vital instruments of an efficient and

    secure informational marketplace through both providing market information and effec-

    tively monitoring and disciplining managerial behavior (Healy and Palepu 2001; Best et al.

    2003). As such, analysts may elicit managerial responsiveness, and thereby reduce the

    probability of resource-wasting investments (Moyer et al.  1989). For example, the results

    presented by Yu (2008) show that more comprehensive analyst coverage is consistent with

    less earnings management, and that changes in analyst coverage are inversely related to

    changes in earnings management. This leads us to our fifth hypothesis:

    Hypothesis 5: analyst following is positively associated with stock market reaction to

    new product introductions.

    2.6 Shareholder rights

    The shareholder rights can restrain management empire building, in that firms that makevalue-destroying investment (Mitchell and Lehn   1990). Furthermore, the ability of 

    shareholder rights can provide managers with the appropriate incentives to maximize

    shareholder wealth (Cheng et al.   2006; Masulis et al.   2007). We use Gompers et al.’s

    (2003)  G-index   to proxy for the shareholder rights of corporate governance. The index is

    based on 24 antitakeover provisions and measures the power-sharing relationship between

    investors and management. A higher G-index score indicates lower shareholder rights and

    greater management power. Based on agency theory, a new product announcement by a

    firm with a higher G-index score (less shareholder rights) is expected to exhibit a lower

    wealth effect as it is thus more difficult or costly to remove management that is acting

    opportunistically. On the other hand, a firm with stronger shareholder rights (a lowerG-index score) is more likely to have stronger monitoring and control processes in place,

    leading to more effective and efficient managerial decision making. Accordingly, the sixth

    hypothesis proposed in this study is:

    Hypothesis 6: G-index scores are negatively associated with stock market reaction to

    new product introductions.

    3 Sample and variables

    3.1 Data sample

    This study collects an initial sample of announcements of new product introductions by

    firms listed on the New York Stock Exchange (NYSE) or the American Stock Exchange

    (AMEX), covering the 8 year period from 1997 to 2004; the data is collected from the

    278 W.-C. Lin, S.-C. Chang

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     LexisNexis Academic NEWS  database. In order to be included in the final sample, the new

    product announcements have to meet specific criteria, as follows: In order to avoid any

    confounding events which might distort the measurement of announcement returns, we

    exclude those announcements by firms that made other major announcements—such as

    announcements of quarterly earnings, mergers and acquisitions or changes in dividends—either 5 days before or 5 days after the announcement of the new product. Furthermore, in

    order to ensure that the new product announcements are not affected by information leaked

    ahead of time, we discard any new product announcements if there has been news items

    reported in major newspapers up to 1 year prior to the announcement date. We also

    exclude the announcing firms if no data is available on the firms from the return files of the

    Center for Research in Securities Prices (CRSP). Finally, we exclude those announcements

    where the corporate governance measures (to be described below) are unavailable. Our

    final sample is comprised of 1,945 new product announcements made by 341 different

    firms.

    3.2 Stock market reaction

    We employ standard event-study methodology to examine the response in stock prices to

    announcements of new product introductions, with Day 0 being defined as the day on

    which the announcement first appears in any major publication. The abnormal return is

    calculated as the difference between the actual return and the expected return generated by

    the market model, with the value-weighted CRSP index being used as a proxy for market

    returns. The estimation of the parameters of the market model is based upon data covering

    the period from 200 to 60 days prior to the initial announcement date.Abnormal returns and cumulative abnormal returns are generated for each announcing

    firm over the period from 10 days before to 10 days after the initial announcement date.

    Cumulative abnormal returns over different event windows are then calculated by sum-

    ming the daily abnormal returns during the event periods. We calculate the 2 day period

    abnormal returns (–1, 0)1 by summing the abnormal returns on the announcement day, and

    1 day prior to the announcement date, in order to estimate the wealth effect of new product

    introductions.

    3.3 Measuring corporate governance

    Our analysis of corporate governance is undertaken using the six different measures of 

     Board Size, Board Independence, Audit Committee Independence, CEO Equity-based Pay,

     Analyst Following  and   G-index Score. The corporate governance data are obtained from

    the IRRC Board datasets, Compustat  ExecComp  and the I/B/E/S database, with the mea-

    sures being estimated as at the end of the fiscal year prior to the new product

    announcements.

    We follow prior studies and measure Board Size as the number of directors on the board

    during the fiscal year preceding the new product announcement (Lehn and Zhao   2006;

    Masulis et al.   2007). Independent directors are defined as those who hold no executiveposition, have held no such position in the past, and are unrelated to any executive or

    1 If such announcements occur after the close of trading on the previous day, then the impact on share prices

    will be felt on the day in which the announcements appear in the publication. If the announcements are

    released prior to the close of trading hours, any immediate valuation effect will be reflected in the share

    prices on the day prior to the announcement appearing in print.

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    director in the announcing firm.   Board Independence   is measured as the ratio of inde-

    pendent directors on the board for the fiscal year preceding the new product announcement,

    and following Klein (2002), we measure Audit Committee Independence  as the ratio of the

    number of independent directors to the number of directors on the audit committee.  CEO

    Equity-based Pay  is measured, following Datta et al. (2001) and Masulis et al. (2007), asthe ratio of equity-based compensation within the overall compensation package, with

    equity-based pay being defined specifically as the value of all stock options and restricted

    stock grants. Analyst Following is a measure of external monitoring which is defined as the

    average number of analyst forecasts taking place during the fiscal year prior to the new

    product announcement. Finally, we use Gompers et al.’s (2003) G-index   as a proxy to

    measure the power-sharing relationship between investors and management. Each firm’s

    G-index Score is the sum of points, where one point is awarded for the presence of each of 

    the 24 provisions included.

    3.4 Measuring control variables

    The control variables included in the regression analyses are a firm’s   Investment Oppor-

    tunities   (where   Tobin’s Q   is used as a proxy),  Free Cash Flow,   Debt Ratio,   Firm Size,

     Relative R&D Intensity and  Industry Competitiveness  (where the Herfindahl Index, is used

    as a proxy), all of which have been found within the prior literature to be important in

    explaining the stock market reaction to new product announcements. All of the data on

    these control variables are obtained from the Compustat files.

     Investment Opportunities. The degree of availability of investment opportunities can be

    an important consideration in assessing the value of corporate innovations. Innovations byfirms with good investment opportunities are generally regarded as worthwhile, whereas

    those by firms with poor investment opportunities are not. Therefore, share price responses

    to new product announcements are expected to have a positive correlation with a firm’s

    investment opportunities.

    Investment opportunities are estimated in this study using a firm measure of Tobin’s Q,

    where a high Tobin’s Q represents a high degree of investment opportunities. Given a lack 

    of availability of data,2 we estimate Tobin’s Q as the ratio of the market-to-book value of 

    the firm’s assets, where the market value of assets is the book value of assets minus the

    book value of common equity plus the market value of common equity. This measure has

    been widely used in many of the prior studies as a means of estimating growth opportu-nities (Agrawal and Knoeber   1996; Barclay and Smith   1995a,   1995b; Denis   1994;

    Holderness et al. 1999; Kang and Stulz 1996). Our Tobin’s Q variable is calculated as the

    average ratio for the three fiscal years prior to the announcement date.

    Free Cash Flow.  The degree of availability of free cash flow can also be an important

    consideration in determining the value-enhancing potential of corporate innovations.

    Jensen (1986) argues that managers endowed with higher free cash flow will invest

    wastefully, as opposed to ensuring that it is returned to shareholders. Therefore, the

    potential agency costs of innovations can be higher for firms with higher free cash flow.

    2 Tobin’s Q is technically defined as the ratio of the market value of a firm to the replacement cost of its

    assets, as the difference between market value and replacement value is dependent upon the profitability of 

    both the firm’s assets in place and its expected investment opportunities. If the profitability of the firm’s

    assets in place is high, its investment opportunities will also be expected to earn a high rate of return; thus,

    the firm will have a high  Tobin’s Q   (Lang and Litzenberger  1989).

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    On the other hand, innovations by firms with lower free cash flow raise the likelihood of 

    the firm seeking new external financing. As free cash flow theory predicts that the market

    response to a new product will be inversely related to the firm’s free cash flow, any new

    external financing provides a monitoring function, and the firm’s willingness to undergo

    such monitoring can be seen as providing a favorable signal (Szewczyk et al.  1996). In thisstudy,  Free Cash Flow   is defined as operating income before depreciation minus interest

    expense, taxes, preferred dividends and common dividends divided by the book value of 

    total assets for the fiscal year preceding the announcement (Lang et al.  1991; Lehn and

    Poulsen 1989).

     Debt Ratio.   Jensen (1986) suggests that a firm’s debt ratio can be regarded as an

    alternative measure of free cash flow. Firms with greater free cash flow will invariably opt

    for higher levels of debt within their overall capital structure since this provides a credible

    pre-commitment to paying out their excess cash flow, thereby lowering the expected costs

    of such free cash flow. The Jensen theory thus suggests a positive relationship between the

    market response to corporate announcements of new products and the debt ratio of the

    announcing firm. The Debt Ratio is measured in the present study as the ratio of the book 

    value of long-term debt to the book value of total assets for the fiscal year prior to the

    announcement (Lang and Stulz  1992).

    Firm Size. Innovations by larger firms have less unanticipated information than those of 

    smaller firms, essentially because information production and dissemination is a positive

    function of firm size (Atiase   1985; Hertzel and Smith   1993; Kang and Stulz  1996); we

    therefore expect to find an inverse relationship between firm size and the evaluation by the

    market of a firm’s new product. In the present study,  Firm Size  is measured as the natural

    logarithm of the book value of total assets for the fiscal year preceding the announcement(Chen et al.  2002).

     Relative R&D Intensity.  Since firms with greater relative R&D intensity may occupy

    leading positions in technological advances (Baysinger and Hoskisson  1989; Kelm et al.

    1995), we expected to find a positive correlation between a firm’s relative R&D intensity

    and the wealth effect of stockholders when firms announce new products. Following Chan

    et al. (1990) and Szewczyk et al. (1996), we measure the R&D intensity of a firm as the

    ratio of its R&D expenditure to sales in the fiscal year –1. We then estimate the R&D

    intensity of the industry as the ratio of R&D expenditure to the net sales of all firms with

    the same primary Compustat four-digit SIC code. Finally, a firm’s  Relative R&D Intensity,

    which is a measure of the firm’s financial resources allocated to R&D relative to that of itspeers, is calculated as the ratio of the firm’s R&D intensity to the R&D intensity of the

    industry in which the firm is located.

     Industry Competitiveness. Woolridge and Snow (1990) present that the announcement

    of strategic investment decisions may release an unexpected improvement in the investing

    firm’s cash flow that derives from an increase in its market share. The investing firm within

    an imperfect competitive environment may gain at the expense of rival firms. As such, this

    study expects that the stock price reaction to new product announcements will be more

    positive in industries with a lower degree of competition. The level of industry competi-

    tiveness is represented in this study by the Herfindahl Index

    , which is measured as the sumof the squared proportion of industry sales. The data is collected from Compustat for a total

    of 48 industries based upon the industry classification of Fama and French (1997).3

    Although this index is essentially a measure of concentration, it has, nevertheless, been

    3 This follows the approach used in Masulis et al. (2007), Giroud and Mueller (2011), and Chen et al.

    (2010).

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    widely used as a proxy for competitiveness largely because of the inverse relationship

    generally found between the degree of concentration and the degree of competition.

    4 Empirical results

    Table 1 presents the sample distribution, by year of announcement, which shows that about

    33 per cent of the sample announcements occurred in 2003 and 2004.

    Table 2 provides the descriptive statistics and Pearson’s correlation coefficients for all

    of the corporate governance and control variables adopted in this study. Our sample firms

    have an average of ten directors on their boards, with a mean proportion of independent

    directors of 71 per cent, and about 88 per cent of all directors on the audit committees

    being totally independent. The mean ratio of equity-based compensation is 0.59 and the

    average number of analyst following is 18.58.

    4.1 Overall sample

    The abnormal returns for new product announcements are presented in Table  3, which

    shows that the average 2 day announcement period abnormal return is 0.54 per cent

    (t  =  7.02), with a statistical significance at the 0.1 per cent level. We also calculate the

    median abnormal returns of each window and conduct significance tests using the non-

    parametric Wilcoxon  z-statistic, and the results are very similar. This finding is consistent

    with Woolridge (1988) and Chen et al. (2002).4 Our results also indicate, however, that

    there is a particularly high variation in the announcement effect amongst our sample firms;the proportion of firms receiving positive market reactions is only 51 per cent. We find no

    significant abnormal returns for other days surrounding the announcements. This suggests

    that the impact of new product announcements is captured in the CAR (–1, 0).

    4.2 Analysis of subsamples based on the governance mechanism

    To test the impact of the corporate governance mechanism on the stock price response of 

    new product announcement, we divide the sample firms into two governance sub-groups

    based upon their ‘better’ or ‘poorer’ corporate governance levels. We then calculate the

    4 Woolridge (1988) demonstrates that between 1972 and 1984, the 2 day (–1, 0) average cumulative

    market-adjusted return for a sample of product-announcing firms is 0.84 per cent, whilst Chen et al. (2002)

    show that for a sample of firms announcing new product introductions between 1991 and 1995, the two-day

    (–1, 0) average cumulative abnormal return is 0.59 per cent, with significance at the 1 per cent level; our

    mean two-day abnormal return is 0.54 per cent, with significance at the 1 per cent level. The magnitude of 

    the abnormal return found in this study is therefore very much in line with those found in prior studies.

    Table 1   Sample distribution

    Year

    1997 1998 1999 2000 2001 2002 2003 2004 Total

    No. of announcements 282 229 288 212 128 169 259 378 1,945

    Share of sample (%) 14.5 11.8 14.8 10.9 6.6 8.7 13.3 19.4 100.0

    Our study sample is comprised of a total of 1,945 new product announcements made between 1997 and 2004

    by 341 firms listed on either the NYSE or the AMEX

    282 W.-C. Lin, S.-C. Chang

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    stock market reaction to the new product introduction and examine the mean and median

    difference in the stock market reaction between the groups with these ‘better’ and ‘poorer’

    governance levels. We expect to find a more positive market reaction to new product

    introductions by the better governance group than those by the poorer governance group.

    To examine the effects of  Board Size, we separate the firms into smaller or larger boards

    (Panel A of Table 4) based upon the sample median size of ten board members. The results

    show that firms with smaller boards experience a significantly positive mean announce-

    ment effect of 0.86 per cent (t  =  7.78), whilst the mean announcement effect of firms with

    larger boards is 0.30 per cent (t  =  3.12). The mean difference in CAR between firms with

    smaller and larger boards is 0.56 per cent (t  =   3.80). The results suggest that corporate

    governance is more effective in firms with small boards, and that this may provide

    investors with a more positive signal on the valuation of new products. Our finding is

    consistent with the argument of Yermack (1996), which small boards can more effectively

    monitor the investment decisions taken by managers.

    The effect of  Board Independence, measured by the ratio of independent board mem-bers, is examined in Panel B of Table  4. The sub-samples of greater (lesser) independence

    contain firms with ratios of independent board members higher (lower) than the sample

    median of 75 per cent. The results show that following the announcement of new product

    introductions, firms with a greater number of independent members experience a signifi-

    cantly positive mean abnormal return of 0.75 per cent (t  =  7.66), whilst the return for firms

    with less independent directors is 0.36 per cent (t  =  3.64). The mean difference between

    the sub-groups is 0.39 per cent (t  =  2.79), which is found to have statistical significance at

    the 1 per cent level.

    The effects of   Audit Committee Independence   are examined in Panel C of Table  4,

    which shows that whilst firms in both sub-samples receive a significantly positive stock 

    market reaction, the mean abnormal return is significantly greater for firms with greater

    audit committee independence than for those firms with less audit committee indepen-

    dence. The evidence is consistent with the results presented in Panels A and B of Table  4,

    and suggests that the independence of directors is an important consideration in investors’

    value assessment of new product introductions.

    Table 3   Cumulative abnormal returns for firms making new product announcements

    Period relative

    to announcement

    Cumulative abnormal returnsa Proportion of positive

    abnormal returns (%)Mean (%)   t -statisticb Median (%)   p-value for the

    Wilcoxon z-statistic

    (–10, –4) –0.15 –0.94 –0.11 0.412 49

    (–3) 0.05 0.74 –0.03 0.888 49

    (–2) –0.06 –0.92 –0.14 0.098 47

    (–1, 0) 0.54 7.02*** 0.08 0.000 51

    (1) –0.01 –0.09 –0.06 0.438 49

    (2) 0.04 0.61 –0.12 0.462 47

    (3) –0.06 –0.94 –0.18 0.006 46

    (4, 10) –0.25 –1.56 –0.07 0.238 49

    a This table examines the cumulative abnormal returns surrounding the announcements of 1,945 new

    product introductions which took place between 1997 and 2004b The  p-value refers to the   t -statistic

    *** indicates  p\0.01

    284 W.-C. Lin, S.-C. Chang

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    Table 4   Announcement period

    abnormal returns of announcers,

    by corporate governance

    mechanisms

    The analysis of the sub-samples

    is undertaken based upon the

    relative corporate governance

    variables from Panels A to E,

    with the 2 day (–1, 0) average

    announcement period abnormal

    returns being generated for each

    announcing firm over the period

    1 day prior to the initial

    announcement datea The number of observations

    varies across panels as a resultof the unavailability of certain

    governance variablesb For the comparison of the

    means, we report the mean

    difference and the   t -statistic

    under the assumption of unequal

    variances; the results are similar

    to those obtained under the

    assumption of equal variance.

    The non-parametric Wilcoxon

     z-statistic is employed to test the

    median difference

    * indicates  p\0.1

    ** indicates p\0.05

    *** indicates  p\0.01

    Panel A:  board size  (median  =  10)

    Small Large Difference

    Mean 0.86 0.30 0.56

    t -statisticb (7.78)*** (3.12)*** (3.80)***

    Median 0.22*** –0.06 0.28**

    No. of observationsa 1,051 867

    Panel B:   board independence  (median  =  75%)

    Greater Less Difference

    Mean 0.75 0.36 0.39

    t -statisticb (7.66)*** (3.64)*** (2.79)***

    Median 0.27*** 0.02* 0.25**

    No. of observationsa 954 914

    Panel C:   audit committee independence  (median  =  1)

    Greater Less Difference

    Mean 0.82 0.36 0.46

    t -statisticb (8.77)*** (3.27)*** (3.18)***

    Median 0.21*** 0.05** 0.17*

    No. of observationsa 1,169 678

    Panel D:  CEO equity-based pay  (median  =  0.65)

    High Low Difference

    Mean 0.84 0.34 0.51

    t -statisticb (7.51)*** (3.82)*** (3.56)***

    Median 0.25*** 0.01* 0.24**

    No. of observationsa 933 966

    Panel E:   analyst following  (median  =  17.33)

    Greater Less Difference

    Mean 0.74 0.41 0.33

    t -statisticb (6.66)*** (4.45)*** (2.20)**

    Median 0.27*** –0.04 0.32**

    No. of Observationsa 954 970

    Panel F:  G-index score  (median  =  9.00)

    Low High Difference

    Mean 0.63 0.30 0.33

    t -statisticb (6.48)*** (2.48)** (2.15)**

    Median 0.26*** –0.16 0.42**

    No. of observationsa 1,243 637

    Corporate governance and the stock market reaction 285

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    The impact of  CEO Equity-based Pay  is examined in Panel D of Table  4, from which

    we can see that the mean abnormal return for those firms whose CEOs received high

    proportions of equity-based compensation (0.84 per cent) is significantly greater than the

    mean for firms with low proportions of CEO equity-based compensation (0.34 per cent).

    This result highlights the importance of equity-based compensation in mitigating theagency problem.

    The impact of  Analyst Following   on the announcement effect of new product intro-

    ductions is examined in Panel E of Table  4. Those firms described as having a greater

    analyst following were those with a greater number of analyst reports than the sample

    median of 17.33 during the fiscal year prior to the announcement of the new product

    introduction. As shown in the table, the mean abnormal returns for firms with greater

    (lesser) analyst following are 0.74 per cent (0.41 per cent), with the difference being found

    to be statistically significant at the 5 per cent level.

    Finally, we use the   G-index Score   as a proxy for shareholder rights, and use it to

    examine the impact of governance on the wealth effect of new product announcing firms.

    The results presented in Panel F of Table  4 show that the group with lower G-index scores

    experiences a significantly positive mean announcement effect (0.63 per cent), while the

    mean announcement effect for the group with a greater G-index score is positive (0.30 per

    cent).5 The mean difference in abnormal returns between the two groups is 0.33 per cent

    and significant at the 5 per cent level. We further calculate the median CARs of the

    subsamples in each panel, and find very similar results.

    In summary, the results in Table 4  provide clear support for our hypotheses that cor-

    porate governance measures are generally of significance in explaining the stock market

    reaction to new product announcements. However, it is important to note that we did notcontrol for other potential factors that may also influence stock market responses.

    4.3 Cross-sectional regression analyses

    In order to further examine the impact of corporate governance on the stock market

    reaction to the new product introductions, we employed the following cross-sectional

    regression model:

    CARi  ¼ aþ b1CGi þ b2CG  High HHI þ b3Tobin0s Qi þ b4Free Cash Flowi

    þ b5 Debt Ratioi þ b6Firm Sizei þ b7 Relative R& D Intensityi

    þ b8 Herfindahl Indexi þ ei

    where   CAR  refers to the 2 day (–1, 0) announcement-period abnormal returns for a firm

    introducing a new product;  CG  refers to the corporate governance variable;  High_HHI   is

    equal to 1 if the industry’s  Herfindahl index is in the top quartile of all industries;6 Tobin’s

    Q refers to the ratio of the market-to-book value of the firm’s assets; Free Cash Flow is the

    free cash flow of the firm; Debt Ratio is the ratio of the book value of long-term debt to the

    book value of total assets;  Firm Size  refers to the natural logarithm of the book value of 

    total assets;  Relative R&D Intensity   is the ratio of the firm’s R&D intensity to the R&D

    5 Other studies, such as Gompers et al. (2003), Masulis et al. (2007) and Giroud and Mueller (2011), refer to

    companies with a G-index score of 5 or less as democracies and to companies with a G-index score of 14 or

    greater as dictatorships. We have also used 5 and 14 as the cut-off G-index scores in our sensitivity analysis.

    The conclusions in our study remain unchanged.6 We have also used median and top tercile as the cut-off Herfindahl index values in our sensitivity analysis.

    The conclusions in our study remain unchanged.

    286 W.-C. Lin, S.-C. Chang

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    intensity within the industry in which the firm is located; and  Herfindahl Index refers to the

    Herfindahl index7 of the firm.

    The literature suggests that industry competition could also influence the impact of 

    corporate governance on abnormal returns (Giroud and Mueller  2011). Shleifer and Vishny

    (1997) present that managers of firms in competitive industries are likely to reduce slack and put valuable resources into efficient uses. Giroud and Mueller ( 2011) argue that firms

    in noncompetitive industries, where low competitive pressure results in managers reducing

    their effort, corporate governance plays a relatively more important role. To consider the

    mediation effect of product market competition,8 we included the interaction term

    (CG  9  High_HHI ) in the regressions.

    The results of the multivariate cross-sectional regression analyses of the 2 day (–1, 0)

    announcement-period abnormal returns are presented in Table 5, for both the corporate

    governance measures and the control variables. It is important to note that the observations

    are found to vary across regression models, essentially due to data availability limitations.

    The effects of the size of the board are tested in Model 1, with the results showing that

    the coefficient of   Board Size   is –1.438 (t  =   –3.96), which is negatively and statistically

    significant at the 1 per cent level. This result suggests that the announcement effect is more

    favorable for firms with a smaller board size. The coefficient of   Board Independence   in

    Model 2 is 0.010 (t  =  1.93), which indicates that the number of independent directors has a

    positive correlation with the stock market reaction to new product announcements. The

    importance of   Audit Committee Independence  is examined in Model 3, with the findings

    suggesting a strong positive relationship between the independence of the audit committee

    and the reaction by the market to new product introductions. The influence of  CEO Equity-

    based Pay   is tested in Model 4, with the results revealing a positive effect. Model 5examines the influence of analyst reports, with the coefficient on  Analyst Following  being

    found to be 0.863 (t  =  5.08) and demonstrating a significantly positive correlation with the

    wealth effect of new product announcements. Model 6 shows that the   G-index Score   is

    significantly negatively related to the announcement of firms’ cumulative abnormal

    returns. That is, the announcement effect is significantly more favorable for announcing

    firms with greater shareholder rights. The results are again consistent with the prediction

    for the role of corporate governance in explaining the wealth effects of new product

    introductions.

    The control variables in the models show signs that are generally consistent with the

    prior studies. However, all except   Firm Size  are found to be insignificant in the presentstudy, while Firm Size is found to be statistically significant with and a negative correlation

    with abnormal returns during the announcement period of new product introductions.9 This

    indicates that new product introductions by larger firms may contain less unanticipated

    information than those of smaller firms, and. This is essentially attributable to the fact that

    information production and dissemination remains a positive function of firm size (Hertzel

    and Smith 1993; Kang and Stulz 1996).

    7 Qualitatively similar results are obtained if the Herfindahl index is measured by the sum of the squared

    market shares of all Compustat firms based on the industry classification of their Compustat four-digit SIC

    code (as in Lang and Stulz  1992, and Song and Walkling 2000).8 Our results are similar when the competitive structure of an industry is measured by the product

    uniqueness (as in Masulis et al.  2007 and Chen et al.  2010).9 We also obtained similar results when we used net sales and the number of employees to measure the size

    of the firm.

    Corporate governance and the stock market reaction 287

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          T    a      b      l    e      5

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        V   a   r    i   a    b    l   e   s

        M   o    d   e    l    1

        M   o    d   e    l    2

        M   o    d   e    l    3

        M   o    d   e    l    4

        M   o    d   e    l    5

        M   o    d   e    l

        6

        C   o   e    f    f .

        t  -   s    t   a    t .

        C   o   e    f    f .

        t  -   s    t   a    t .

        C   o   e    f    f .

        t  -   s    t   a    t .

        C   o   e    f    f .

        t  -   s    t   a    t .

        C   o   e    f    f .

        t  -   s    t   a    t .

        C   o   e    f    f .

        t  -   s    t   a    t .

        I   n    t   e   r   c   e   p    t

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        8    *    *    *

        0 .    4

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        0 .    8

        8

        1 .    0

        4    4

        1 .    6

        9    *

        0 .    9

        8    1

        2 .    0

        2    *    *

        1 .    6

        6    5

        3 .    2

        8    *    *    *

        2 .    5

        7    7

        4 .    0

        5    *    *    *

        L   o   g    (    b   o   a   r    d   s    i   z   e    )

      –    1 .    4

        3    8

      –    3 .    9

        6    *    *    *

        B   o   a   r    d    i   n    d   e   p   e   n    d   e   n   c   e

        0 .    0

        1    0

        1 .    9

        3    *

        A   u    d    i    t   c   o   m   m    i    t    t   e   e

        i   n    d   e   p   e   n    d   e   n   c   e

        0 .    0

        0    9

        2 .    2

        6    *    *

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       y

        0 .    6

        2    4

        2 .    3

        2    *    *

        L   o   g    (   a   n   a    l   y   s    t    f   o    l    l   o   w    i   n   g    )

        0 .    8

        6    3

        5 .    0

        8    *    *    *

        G  -    I   n    d   e   x

      –    0 .    0

        7    8

      –    2 .    3

        7    *    *

        C    G     9

        H    i   g    h_

        H    H    I

      –    0 .    0

        1    6

      –    0 .    1

        7

      –    0 .    0

        0    2

      –    0 .    7

        9

      –    0 .    0

        0    2

      –    0 .    8

        0

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        0    1

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        0

        0 .    0

        5    3

        0 .    6

        9

      –    0 .    0

        0    1

      –    0 .    0

        5

        T   o    b    i   n    ’   s    Q

      –    0 .    0

        3    0

      –    0 .    4

        9

      –    0 .    0

        0    6

      –    0 .    1

        0

      –    0 .    0

        3    3

      –    0 .    5

        5

      –    0 .    0

        2    0

      –    0 .    3

        3

        0 .    1

        3    5

        2 .    0

        7    *    *

      –    0 .    0

        1    8

      –    0 .    2

        5

        F   r   e   e   c   a   s    h    fl   o   w

        0 .    6

        1    6

        0 .    5

        2

      –    0 .    4

        6    0

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        1

      –    1 .    0

        8    6

      –    0 .    9

        3

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        5    8

      –    0 .    2

        3

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        7    3

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        2    2

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        0

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      –    0 .    0

        0    8

      –    0 .    0

        5

      –    0 .    0

        6    9

      –    0 .    5

        2

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        5    1

      –    0 .    3

        8

      –    0 .    0

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        9

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        8    1

        0 .    5

        7

        0 .    0

        3    0

        0 .    2

        0

        F    i   r   m   s    i   z   e

        0 .    0

        2    1

        0 .    3

        5

      –    0 .    0

        5    0

      –    1 .    0

        5

      –    0 .    0

        8    8

      –    1 .    8

        5    *

      –    0 .    0

        6    4

      –    1 .    3

        3

      –    0 .    3

        3    8

      –    4 .    6

        8    *    *    *

      –    0 .    1

        3    4

      –    2 .    5

        9    *    *    *

        R   e    l   a    t    i   v   e    R    &    D    i   n    t   e   n   s    i    t   y

        0 .    0

        0    3

        0 .    1

        3

      –    0 .    0

        1    6

      –    0 .    7

        1

      –    0 .    0

        2    2

      –    0 .    9

        4

      –    0 .    0

        1    7

      –    0 .    7

        1

      –    0 .    0

        1    7

      –    0 .    6

        7

      –    0 .    0

        2    0

      –    0 .    8

        2

        H   e   r    fi   n    d   a    h    l    i   n    d   e   x

      –    0 .    2

        0    9

      –    0 .    0

        9

      –    0 .    5

        5    3

      –    0 .    2

        7

      –    2 .    8

        4    7

      –    1 .    3

        1

      –    0 .    5

        6    8

      –    0 .    3

        0

      –    1 .    8

        7    9

      –    0 .    8

        7

      –    1 .    3

        9    2

      –    0 .    6

        0

        A    d    j   u   s    t   e    d    R       2

        0 .    0

        0    8

        0 .    0

        0    1

        0 .    0

        0    5

        0 .    0

        0    1

        0 .    0

        1    2

        0 .    0

        0    2

        N   o .   o    f   o    b   s   e   r   v   a    t    i   o   n   s

         a

        1 ,    9

        1    8

        1 ,    8

        6    8

        1 ,    8

        4    7

        1 ,    8

        9    9

        1 ,    9

        2    4

        1 ,    8

        8    0

        T    h   e    d   e   p   e   n    d   e   n    t   v   a   r    i   a    b    l   e    i   s    t    h   e    2    d   a   y    (  –    1 ,

        0    )   a   n   n   o   u   n   c   e   m

       e   n    t   p   e   r    i   o    d   c   u   m   u    l   a    t    i   v   e   a    b   n   o   r   m   a    l

       r   e    t   u   r   n    (    C    A    R    )

         a

        T    h   e   n   u   m    b   e   r   o    f   o    b

       s   e   r   v   a    t    i   o   n   s   v   a   r    i   e   s   a   c   r   o   s   s   r   e   g   r   e   s   s    i   o   n   s   a   s   a   r   e   s   u    l    t   o    f    t    h   e   n   o   n  -   a   v   a    i    l   a    b    i    l    i    t   y   o    f   c   e   r    t   a    i   n   g   o   v   e   r   n   a   n   c   e   v   a   r    i   a    b    l   e   s

        *    i   n    d    i   c   a    t   e   s   p     \

        0 .    1    0

        *    *    i   n    d    i   c   a    t   e   s   p     \

        0 .    0    5

        *    *    *    i   n    d    i   c   a    t   e   s   p     \    0 .    0    1

    288 W.-C. Lin, S.-C. Chang

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    5 Conclusions

    This study examines the relationship between corporate governance and the market

    reaction to new product announcements. We investigate a sample of US firms announcing

    new product introductions between 1997 and 2004, with the results revealing that newproduct announcements are generally associated with significantly positive abnormal

    returns. The results further indicate that those firms with a small board size, greater board

    independence, a more independent audit committee, higher CEO equity incentives, more

    analyst coverage and greater shareholder rights (represented by a lower G-index score) see

    greater announcement effects. The evidence is consistent with the hypothesis that better

    corporate governance mechanisms reduce agency costs, whilst also increasing the value

    creation of new product introductions through monitoring and alignment mechanisms.

    Our findings suggest that corporate governance factors are important for investors in

    assessing the valuation effect of innovation. Financial markets consider not only innova-

    tion-specific information, but also factors relating to managerial incentives. Better gov-

    ernance mechanisms convey positive information to investors that investments are not

    being made for the personal interests of managers. This is an effect which is expected to be

    of greater importance in cases where there is strong information asymmetry between firms

    and investors. Managers are advised to take this signaling effect of corporate governance

    into consideration in all areas relating to information disclosure.

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