Post on 25-Dec-2015
Socio-Economic Complexity Workshop
Leiden
27 March 2015
Andrew G Haldane
On Microscopes and Telescopes
The story so far …
2
• Biggest crisis since the 1930s
• Existing models no use in explaining it – before, during or after
• Existing policies ineffective in preventing it
• Network/complexity models have risen in prominence
• Complexity language enters regulatory lexicon – tipping points,
contagion cascades etc
• New regulatory architecture put in place
• Eg, “too big to fail” and capital surcharges for “superspreader”
banks
3
Forecasting GDP Growth
2008Q1
2008Q2
2008Q3
2008Q4
2009Q1
2009Q2
2009Q3
2009Q4
2010Q1
2010Q2
2010Q3
2010Q4
2011Q1
2011Q2
2011Q3
2011Q4
2012Q1
2012Q2
2012Q3
2012Q4
2013Q1
2013Q2
2013Q3
2013Q4
2014Q1
2014Q2
2014Q3
2014Q4-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
May 2008 May 2009 May 2010 May 2011 Latest data
Per cent change oya
The Macro-Financial Policy Architecture
4
Old
Micro-Prudential
Monetary Policy
Global Architecture
• How to make sense of this new architecture?
The Macro-Financial Policy Architecture
5
New Old
Micro-Prudential
Macro-Prudential
Monetary Policy
GlobalArchitecture
Micro-Prudential
Monetary Policy
Global Architecture
Architecture of Complexity
6
• Complex system: whole ≠ sum of parts
• Complex dynamics: non-linearities, emergent behaviour,
fat tails
• Hierarchical structures may re-emerge for evolutionary
reasons – “decomposable” systems (Simon)
• Is that true of socio-economic systems?
Network economies of scale/scope foster tight-coupling Policy moral hazard prevents Darwinian evolution It may even encourage tight coupling – the “Doom Loop”
Socio-economic systems may be “non-decomposable”
Complex “System of Systems”
A Complex System of Systems?
7
• Complex System of Systems: nested set of sub-systems, themselves individually complex
• Eg, “layered” networks
Risk much greater than implied by looking at each layer “Missing a layer” poses real risks when assessing risks The more complex the layers, and the higher their correlation,
the more complex the system Tinbergen rule (for complex systems): as many policy
instruments as there are complex layers
Layered network
7
Layer 1
Layer 2
Layer 3
Simulating Complexity
9
Chart 1: Joint Distributions of Simulated System of systems(a)
• An uncorrelated simple versus correlated complex system of systems
Simulating Complexity
10
-2
-1
0
1
2
-2 -1 0 1 2
Chart 1: Joint Distributions of Simulated System of systems(a)
… adding a complex layer …
The Macro-Financial System of Systems
11
Complexity of Individual Banks - 2006
12
Size of Balance Sheet(b) Nominal Value of Derivatives(c)
Number of Legal Entities(d) Trading Assets (% of Total Assets) (e)
Average$1,350bn
Average$19Tr (notional)
Average328 entities
Average22%
Complexity of Individual Banks - 2013
13
Size of Balance Sheet(b) Nominal Value of Derivatives(c)
Number of Legal Entities(d) Trading Assets (% of Total Assets) (e)
Average$1,758bn
Average$31Tr (notional)
Average330 entities
Average19%
Bank Complexity and Performance
14
Source: True Cost of complexity in the banking sector’, Simplicity Consulting (2012).
Hig
h pe
rfor
m-
ance
Low
per
form
ance
Simple Complex
Financial System Complexity
15
Interbank exposures network (2013)
Financial System Complexity – Non-Banks
16
Macro-Economic Complexity
17
Flow of Funds, United Kingdom (1978)
125%Household
Assets
?RoW
Assets
6%
?RoW
Liabilities
24%UK Building
societies
69%Foreign Banks
22%UK Other Banks
(incl. Scottish Banks)
2%
25%Clearing Banks
29%Insurance
Companies
18%Pension Funds
2%
4%
55%Corporate
Assets
?Government
Assets
98%CorporateLiabilities
47%Government
Liabilities
38%HouseholdLiabilities
Bank of England
UTs
Inv. Trusts
Finance Houses
245%Household
Assets
250%RoW
Assets
305%RoW
Liabilities
220%CorporateLiabilities
30%RoW Inv.
Banks
110%Corporate
Assets
25%Gov.
Assets
65%Government
Liabilities
90%HouseholdLiabilities
180%UK Universal Banks
60%UK Domestic
Banks
35%UK Other
Banks
20%SPVs
25%Bank of England
15%CCPs
50%Unauthorised
funds
5%PE Funds
5%ETFs
5%Investment Trusts
5%Finance Companies
50%Hedge Funds
40%OEIC and
AUTs
80%Pension Funds
80%Insurance Companies
15% RoW Other Banks
Macro-Economic Complexity
18
Flow of Funds, United Kingdom (2013)
• Source: ONS, IMA, FCA, BVCA, Financial statements, Regulatory Returns, Bank calculations. Notes: Balance sheets are sized net of derivatives and intrabank exposures and expressed as a % of GDP.
245%Household
Assets
250%RoW
Assets
305%RoW
Liabilities
220%CorporateLiabilities
30%RoW Inv.
Banks
110%Corporate
Assets
25%Gov.
Assets
65%Government
Liabilities
90%HouseholdLiabilities
180%UK Universal Banks
60%UK Domestic
Banks
35%UK Other
Banks
20%SPVs
25%Bank of England
15%CCPs
50%Unauthorised
funds
5%PE Funds
5%ETFs
5%Investment Trusts
5%Finance Companies
50%Hedge Funds
40%OEIC and
AUTs
80%Pension Funds
80%Insurance Companies
15% RoW Other Banks
Macro-Economic Complexity
19
Flow of Funds, United Kingdom (2013)
• Source: ONS, IMA, FCA, BVCA, Financial statements, Regulatory Returns, Bank calculations. Notes: Balance sheets are sized net of derivatives and intrabank exposures and expressed as a % of GDP.
245%Household
Assets
250%RoW
Assets
305%RoW
Liabilities
220%CorporateLiabilities
30%RoW Inv.
Banks
110%Corporate
Assets
25%Gov.
Assets
65%Government
Liabilities
90%HouseholdLiabilities
180%UK Universal Banks
60%UK Domestic
Banks
35%UK Other
Banks
20%SPVs
25%Bank of England
15%CCPs
50%Unauthorised
funds
5%PE Funds
5%ETFs
5%Investment Trusts
5%Finance Companies
50%Hedge Funds
40%OEIC and
AUTs
80%Pension Funds
80%Insurance Companies
15% RoW Other Banks
Macro-Economic Complexity
20
Flow of Funds, United Kingdom (2013)
• Source: ONS, IMA, FCA, BVCA, Financial statements, Regulatory Returns, Bank calculations. Notes: Balance sheets are sized net of derivatives and intrabank exposures and expressed as a % of GDP.
Global Complexity
21
0
5
10
15
20
25
0
20
40
60
80
100
120
140
160
180
1870 1900 1914 1930 1960 1985 1990 2005
External financial assets/GDP (RHS)
Trade/GDP (LHS) (a)
Per centPer cent
The Growth in Global Trade and Finance
Global Trade Complexity
22
1995 2013
Global Financial Complexity
23
The Global Banking System 1980 2007
Economic and Financial Complexity
24
GDP growth Credit Growth
Economic and Financial Complexity
25
Equity Returns Rice Prices
Public Policy Implications
26
• How does this help us assess the new macro-financial architecture?
Data
Models
Policy Design
Data Gaps
27
green=Available data, amber=Limited availability, and red=no data availability
245%Household
Assets
250%RoW
Assets
305%RoW
Liabilities
220%CorporateLiabilities
30%RoW Inv.
Banks
110%Corporate
Assets
25%Gov.
Assets
65%Government
Liabilities
90%HouseholdLiabilities
180%UK Universal Banks
60%UK Domestic
Banks
35%UK Other
Banks
20%SPVs
25%Bank of England
15%CCPs
50%Unauthorised
funds
5%PE Funds
5%ETFs
5%Investment Trusts
5%Finance Companies
50%Hedge Funds
40%OEIC and
AUTs
80%Pension Funds
80%Insurance Companies
15% RoW Other Banks
Modelling Banking Interactions
28
Total assets in the system generated from RAMSI
Simulating Monetary and Macro-Prudential Policy
29
0.4
0.5
0.6
0.7
0.8
0.9
1
0.65 0.7 0.75 0.8 0.85 0.9 0.95 1
Variance of nominal GDPVariance of nominal GDP
Varia
nce
of sp
read
s
A) NormalisedB) Optimised monetary policyC) Optimised monetary policy with spreadD) Macroprudential policy
A
B
C
D
Macro-Financial Policy Design
30
• TEXT [ARIAL 20]
2009 Q1
0% 15%
Source: Data are based on the Bank of England’s internal Product Sales Database collected by the FCA.
Calibrating Macro-Prudential Policy• Loan-to-income multiple ≥ 4.5
2009 Q2
0% 15%
Loan-to-income multiple ≥ 4.5
2009 Q3
0% 15%
Loan-to-income multiple ≥ 4.5
2009 Q4
0% 15%
Loan-to-income multiple ≥ 4.5
2010 Q1
0% 15%
Loan-to-income multiple ≥ 4.5
2010 Q2
0% 15%
Loan-to-income multiple ≥ 4.5
2010 Q3
0% 15%
Loan-to-income multiple ≥ 4.5
2010 Q4
0% 15%
Loan-to-income multiple ≥ 4.5
2011 Q1
0% 15%
Loan-to-income multiple ≥ 4.5
2011 Q2
0% 15%
Loan-to-income multiple ≥ 4.5
2011 Q3
0% 15%
Loan-to-income multiple ≥ 4.5
2011 Q4
0% 15%
Loan-to-income multiple ≥ 4.5
2012 Q1
0% 15%
Loan-to-income multiple ≥ 4.5
2012 Q2
0% 15%
Loan-to-income multiple ≥ 4.5
2012 Q3
0% 15%
Loan-to-income multiple ≥ 4.5
2012 Q4
0% 15%
Loan-to-income multiple ≥ 4.5
2013 Q1
0% 15%
Loan-to-income multiple ≥ 4.5
2013 Q2
0% 15%
Loan-to-income multiple ≥ 4.5
2013 Q3
0% 15%
Loan-to-income multiple ≥ 4.5
2013 Q4
0% 15%
Loan-to-income multiple ≥ 4.5
2014 Q1
0% 15%
Loan-to-income multiple ≥ 4.5
2014 Q2
0% 15%
Loan-to-income multiple ≥ 4.5
Macro-Prudential Policy
Global Financial Architecture
53
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
1961 1968 1976 1984 1992 1999 2007
FranceGermanyUSA
Correlation coefficient
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1994 1997 2000 2003 2006 2009 2012
UK - US
UK - euro area
Correlation coefficient
Chart 20: Correlation of 10 year bond yields and equity prices
• Co-ordinating global macro-prudential policy?
Conclusion
54
… unfinished business …