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ADEMU WP3
Macroeconomic and Financial Imbalances and Spillovers
Radim Boh´aˇcek
CERGE-EI
ADEMU Conference
Cambridge, October 9, 2015
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 1 / 23
Objectives
The Objectives of WP3
New understanding of the fiscal policy implications of cross-border economic
interdependence within the EU — spillovers and imbalances
New evidence on the cross-border spillover effects of fiscal and financial
shocks in the euro area — implications for fiscal policies in EU countries
Assess the role of macroeconomic and financial imbalances in the recent
crisis and recession
Analyse the existing institutional mechanisms for controlling imbalances
and consider strategies for their effective improvement
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 2 / 23
The Objectives of WP3
Spillover Effects of Fiscal and Financial Shocks
Fiscal spillovers
Canova and Gambetti: Impact of austerity measures adopted since 2011
Cui: Contagion in sovereign debt markets
Financial spillovers
Hansen: Volatility shocks during the recent crisis
Portes: Euro area financial markets and sovereign default risk
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 3 / 23
The Objectives of WP3
Macroeconomic and Financial Imbalances
Banking and financial markets
Rodriguez: Imbalances in interbank lending
Jungherr: Convergence and asymmetries in financial regulation, bank
transparency
Marimon: Narrow banking to eliminate moral hazard
Marimon: Potential role of credit-easing policies
Macroprudential regulation and policies
Portes: Macroprudential regulation against destabilizing international
impulses
Boh´aˇcek: Leverage bounds for regulation in financial markets
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 4 / 23
Macroprudential Policies
Macroprudential Policies
Goal: financial stability, resilience to shocks, containment of systemic risk
Instruments: supervision, regulation, stress tests, communication
Institutions: central banks, regulatory bodies, finance ministries
Interplay between the financial sector and the rest of the economy
Tucker definition:
Dynamically adjusting regulatory parameters to maintain systemic resilience
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 5 / 23
Macroprudential Policies
Macroprudential Policies: Targets
Excessive credit growth and leverage
Excessive maturity mismatch and market illiquidity
Large exposures and interconnectedness
Misaligned incentives/moral hazard
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 6 / 23
Institutions
Europe: Macro-prudential oversight of the financial system
Stability and Growth Pact (Excessive Deficit Procedure (EDP))
European Stability Mechanism (ESM)
European Systemic Risk Board (ESRB)
European Banking Authority (EBA)
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 7 / 23
Institutions
New Financial Sector Regulatory Framework
European banking union
Capital markets union
Bank Recovery and Resolution Directive (BRRD, bail-in)
Single Resolution Mechanism (SRM, from 2016)
Single Supervisory Mechanism (SSM): Macro-prudential policy
Single Resolution Board (SRB)
Capital and liquidity standards (Basel III, CRR, LCR)
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 8 / 23
Institutions
Other Regulatory Institutions
Bank of England: Financial Policy Committee (FPC, systemic risk)
Financial Stability Board (FSB, international financial stability)
US: Financial Stability Oversight Council (FSOC)
Office of Financial Research
National institutions, central banks
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 9 / 23
Institutions
Macroprudential Policies: Issues
Definition of goals (“sufficient” resilience)
Tradeoff between stability and efficiency, distribution effects
Secondary goals?
Instruments
Whom to regulate?
Banking (shadow), households, corporations, government
Micro- or macro-prudential policies
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 10 / 23
Institutions
Macroprudential Policies: Issues
Short-term, certain and visible costs vs. long-term, uncertain and invisible
benefits
Uncertainty on the nature and severity of systemic risk
Highly interconnected, complex linkages, dynamic
How to test?
Countercyclical —“time-series” dimension of systemic risk
Leaning against the wind (Svensson)
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 11 / 23
Institutions
Macroprudential Policies: Institutions
Cooperation and coordination
Accountability and efficiency
Crisis prevention and crisis management
Conflict resolution (center, countries, institutions)
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 12 / 23
Institutions
Macroprudential Policies: Theory
Political economy
Game theory: cooperation and commitment of institutions
Incentives: moral hazard and adverse selection
Interactions with fiscal and monetary policies
Target market failures
Target systemic externalities: strategic complementarities and
interconnectedness
Rules vs. discretion
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 13 / 23
Institutions
Macroprudential Policies: Rules (John Taylor)
Time inconsistency problem
Reduction of uncertainty
Clearer explanation and transparency
Less short-run political pressure, accountability
Historical benchmark, foundation for evaluation (Lucas critique)
Great moderation 1980s and 1990s
Crisis as deviation from the rules
Higher permanent capital ratio better than lower counter-cyclical
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 14 / 23
Institutions
Macroprudential Policies: Rules (John Cochrane)
Traditional regulation (stable, predictable rules) vs. active, discretionary
micromanagement of the whole financial system
Lack of understanding
Bubbles detection failures (technology, housing, sovereign debt crises)
Against fine tuning, discretion, political dependence
Instead: robust financial system with limited run-prone, short-term debt
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 15 / 23
Institutions
Macroprudential Policies: Discretion
Kocherlakota (2015): Pure discretion better than any rule
(if central bank has many non-quantifiable sources of information)
Bernanke (2011): Constrained discretion (a number instead of rules)
IMF (2013): Guided discretion based on indicators complemented by
numbers
New regulatory framework
Overcome the “inaction bias”!
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 16 / 23
Institutions
EU: Macroeconomic Imbalance Procedure (MIP)
Surveillance mechanism to identify potential risks, prevent and correct
macroeconomic imbalances
Excessive Imbalance Procedure: corrective plan and enforcement (fines)
Annual Alert Mechanism Report (AMR) for country specific
recommendations
AMR (2014): 16 countries with macroeconomic imbalances
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 17 / 23
Data
Indicators: MIP Scoreboard
10
Table 1.1: MIP scoreboard 2012
Year 2012 3 year average
p.m.:
level
year
% change (3
years)
p.m.: %
y-o-y
change
% change
(5 years)
p.m.: %
y-o-y
change
% change
(3 years)
p.m.: %
y-o-y
change
3 year average
p.m.:
level
year
Thresholds -4/+6% - -35% ±5% & ±11% - -6% - +9% & +12% - +6% 14% 133% 60% 10% - 16.5%
BE -0.4 -2.0 48 -4.3 -2.3 -14.9 -5.2 6.6 4.1 -0.2 -1.5 146 100 7.7 7.6 -3.9
BG -0.9 -1.3 -80 -4.0 -2.0 4.8 -5.5 7.4 -0.5 -5.3 (p) 2.5 132 19 11.3 12.3 10.1
CZ -3.0 -2.4 -50 0.4 -2.8 -4.2 -4.6 3.9 3.8 -3.9 0.6 72 46 7.0 7.0 5.4
DK 5.9 6.0 38 -7.7 -2.8 -18.6 -4.8 1.0 1.6 -5.1 6.1 239 45 7.5 7.5 5.0
DE 6.5 7.0 42 -8.9 -3.2 -13.1 -4.6 3.0 3.1 1.8 1.5 107 81 6.2 5.5 4.4
EE 0.9 -1.8 -54 -3.4 -0.6 6.5 -4.1 -2.8 4.2 3.5 4.7 129 10 13.2 10.2 12.9
IE 2.3 4.4 -112 -12.2 -4.3 -16.3 -3.3 -10.4 0.0 -11.7 -1.6 306 117 14.4 14.7 -0.7
EL -7.5 -2.4 -109 -4.5 -3.9 -26.7 -7.3 -8.1 -6.2 -12.4 (1) -6.8 129 157 18.2 24.3 -3.4
ES -3.1 -1.1 -93 -5.2 -2.3 -14.6 -4.9 -5.6 -3.0 -16.9 -10.5 194 86 22.3 25.0 3.3
FR -1.8 -2.2 -21 -7.8 -3.2 -14.0 -6.8 4.1 2.1 -2.3 3.5 141 90 9.9 10.2 -0.1
HR -0.5 0.0 -89 -8.3 -2.6 -24.7 -7.4 0.8 1.2 -2.4 -2.1 132 56 13.8 15.9 0.9
IT -2.3 -0.4 -25 -6.2 -1.8 -23.8 -5.0 3.1 2.3 -5.4 (p) -1.0 126 127 9.2 10.7 7.1
CY -6.7 -6.9 -82 -5.8 -1.9 -26.6 -9.4 0.8 -2.7 -2.2 10.0 299 87 8.7 11.9 -1.9
LV -0.6 -2.5 -67 -8.5 -1.4 12.3 5.4 -5.8 3.4 -0.6 -1 (p) 91.7 (p) 41 16.9 15.0 4.1 (p)
LT -1.3 -0.2 -53 -6.7 -2.0 29.3 5.7 -4.6 1.9 -3.2 -0.3 63 41 15.6 13.4 -0.3
LU 7.0 6.6 169 -2.3 -1.4 -18.3 -4.0 9.8 4.7 2.5 -5.0 317 22 4.8 5.1 11.3
HU 0.6 1.0 -103 -1.2 -2.3 -17.8 -7.4 4.4 2.7 -9.2 -6.1 131 80 11.0 10.9 -8.3
MT -1.6 1.6 25 -7.7 -2.1 4.5 -1.9 4.9 3.7 0.3 -1.6 155 71 6.6 6.4 4.1
NL 8.8 9.4 47 -6.0 -1.8 -12.0 -3.3 3.3 2.8 -8.7 0.2 219 71 4.7 5.3 4.9
AT 2.2 1.6 0 -4.7 -1.7 -21.2 -6.3 4.1 3.0 na (2) 2.7 147 74 (3) 4.3 4.3 -0.9
PL -4.6 -3.7 -67 1.3 -2.3 1.3 -2.7 4.4 2.0 -5.9 (e) 3.4 75 56 9.8 10.1 9.6
PT -6.5 -2.0 -115 -4.0 -1.5 -16.0 -5.3 -5.3 -3.1 -8.6 (p) -5.4 224 124 13.6 15.9 -3.6
RO -4.4 -4.4 -68 -1.9 -6.0 5.9 -7.1 4.8 6.5 -9.2 0.9 73 38 7.2 7.0 5.3
SI 1.2 3.3 -45 -4.5 -1.2 -19.9 -6.9 0.4 0.8 -8.4 -2.9 114 54 8.1 8.9 -0.8
SK -1.7 2.2 -64 -3.2 0.0 4.2 1.5 0.9 1.0 -5.9 3.2 73 52 14.0 14.0 2.6
FI -0.5 -1.7 18 -8.3 -2.7 -30.8 -7.1 4.8 4.4 -0.5 (p) 9.0 158 54 8.0 7.7 -0.2
SE 6.2 6.0 -10 10.1 -0.8 -18.8 -6.0 0.7 2.9 -0.2 1.8 212 38 8.1 8.0 4.4
UK -2.8 -3.8 -9 5.8 4.3 -19.0 -1.7 6.1 3.0 -0.9 2.6 179 89 7.9 7.9 -4.3
Source: EUROSTAT, DG ECFIN (for the indicators on the REER).
Private Sector
Credit Flow as
% of GDP,
consolidated
Private Sector
Debt as % of
GDP,
consolidated
General
Government
Sector Debt as
% of GDP
Unemployment Rate
% y-o-y
change in
Total Financial
Sector
Liabilities
Note: (1) Eurostat estimate based on HPI data from Bank of Greece produced in agreement with ELSTAT. (2) HPI data up until 2011 by Statistics Austria. For 2012, Eurostat estimates a deflated rate of 9.6% based on non-
harmonised HPI data by ECB & Central Bank of Austria. (3) Eurostat expressed a reservation on Austrian general government sector debt, see Eurostat press release 152/2013. (4) p= provisional data, e= estimated.
External Imbalances and Competitiveness Internal Imbalances
Current Account Balance
as % of GDP
Net Interna-
tional Invest-
ment Position
as % of GDP
Real Effective Exchange
Rate (42 IC - HICP
deflators)
Export Market Shares Nominal ULC
% y-o-y
change in
Deflated
House Prices
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 18 / 23
Data
Indicators: MIP Scoreboard
10
Table 1.1: MIP scoreboard 2012
Year 2012 3 year average
p.m.:
level
year
% change (3
years)
p.m.: %
y-o-y
change
% change
(5 years)
p.m.: %
y-o-y
change
% change
(3 years)
p.m.: %
y-o-y
change
3 year average
p.m.:
level
year
Thresholds -4/+6% - -35% ±5% & ±11% - -6% - +9% & +12% - +6% 14% 133% 60% 10% - 16.5%
BE -0.4 -2.0 48 -4.3 -2.3 -14.9 -5.2 6.6 4.1 -0.2 -1.5 146 100 7.7 7.6 -3.9
BG -0.9 -1.3 -80 -4.0 -2.0 4.8 -5.5 7.4 -0.5 -5.3 (p) 2.5 132 19 11.3 12.3 10.1
CZ -3.0 -2.4 -50 0.4 -2.8 -4.2 -4.6 3.9 3.8 -3.9 0.6 72 46 7.0 7.0 5.4
DK 5.9 6.0 38 -7.7 -2.8 -18.6 -4.8 1.0 1.6 -5.1 6.1 239 45 7.5 7.5 5.0
DE 6.5 7.0 42 -8.9 -3.2 -13.1 -4.6 3.0 3.1 1.8 1.5 107 81 6.2 5.5 4.4
EE 0.9 -1.8 -54 -3.4 -0.6 6.5 -4.1 -2.8 4.2 3.5 4.7 129 10 13.2 10.2 12.9
IE 2.3 4.4 -112 -12.2 -4.3 -16.3 -3.3 -10.4 0.0 -11.7 -1.6 306 117 14.4 14.7 -0.7
EL -7.5 -2.4 -109 -4.5 -3.9 -26.7 -7.3 -8.1 -6.2 -12.4 (1) -6.8 129 157 18.2 24.3 -3.4
ES -3.1 -1.1 -93 -5.2 -2.3 -14.6 -4.9 -5.6 -3.0 -16.9 -10.5 194 86 22.3 25.0 3.3
FR -1.8 -2.2 -21 -7.8 -3.2 -14.0 -6.8 4.1 2.1 -2.3 3.5 141 90 9.9 10.2 -0.1
HR -0.5 0.0 -89 -8.3 -2.6 -24.7 -7.4 0.8 1.2 -2.4 -2.1 132 56 13.8 15.9 0.9
IT -2.3 -0.4 -25 -6.2 -1.8 -23.8 -5.0 3.1 2.3 -5.4 (p) -1.0 126 127 9.2 10.7 7.1
CY -6.7 -6.9 -82 -5.8 -1.9 -26.6 -9.4 0.8 -2.7 -2.2 10.0 299 87 8.7 11.9 -1.9
LV -0.6 -2.5 -67 -8.5 -1.4 12.3 5.4 -5.8 3.4 -0.6 -1 (p) 91.7 (p) 41 16.9 15.0 4.1 (p)
LT -1.3 -0.2 -53 -6.7 -2.0 29.3 5.7 -4.6 1.9 -3.2 -0.3 63 41 15.6 13.4 -0.3
LU 7.0 6.6 169 -2.3 -1.4 -18.3 -4.0 9.8 4.7 2.5 -5.0 317 22 4.8 5.1 11.3
HU 0.6 1.0 -103 -1.2 -2.3 -17.8 -7.4 4.4 2.7 -9.2 -6.1 131 80 11.0 10.9 -8.3
MT -1.6 1.6 25 -7.7 -2.1 4.5 -1.9 4.9 3.7 0.3 -1.6 155 71 6.6 6.4 4.1
NL 8.8 9.4 47 -6.0 -1.8 -12.0 -3.3 3.3 2.8 -8.7 0.2 219 71 4.7 5.3 4.9
AT 2.2 1.6 0 -4.7 -1.7 -21.2 -6.3 4.1 3.0 na (2) 2.7 147 74 (3) 4.3 4.3 -0.9
PL -4.6 -3.7 -67 1.3 -2.3 1.3 -2.7 4.4 2.0 -5.9 (e) 3.4 75 56 9.8 10.1 9.6
PT -6.5 -2.0 -115 -4.0 -1.5 -16.0 -5.3 -5.3 -3.1 -8.6 (p) -5.4 224 124 13.6 15.9 -3.6
RO -4.4 -4.4 -68 -1.9 -6.0 5.9 -7.1 4.8 6.5 -9.2 0.9 73 38 7.2 7.0 5.3
SI 1.2 3.3 -45 -4.5 -1.2 -19.9 -6.9 0.4 0.8 -8.4 -2.9 114 54 8.1 8.9 -0.8
SK -1.7 2.2 -64 -3.2 0.0 4.2 1.5 0.9 1.0 -5.9 3.2 73 52 14.0 14.0 2.6
FI -0.5 -1.7 18 -8.3 -2.7 -30.8 -7.1 4.8 4.4 -0.5 (p) 9.0 158 54 8.0 7.7 -0.2
SE 6.2 6.0 -10 10.1 -0.8 -18.8 -6.0 0.7 2.9 -0.2 1.8 212 38 8.1 8.0 4.4
UK -2.8 -3.8 -9 5.8 4.3 -19.0 -1.7 6.1 3.0 -0.9 2.6 179 89 7.9 7.9 -4.3
Source: EUROSTAT, DG ECFIN (for the indicators on the REER).
Private Sector
Credit Flow as
% of GDP,
consolidated
Private Sector
Debt as % of
GDP,
consolidated
General
Government
Sector Debt as
% of GDP
Unemployment Rate
% y-o-y
change in
Total Financial
Sector
Liabilities
Note: (1) Eurostat estimate based on HPI data from Bank of Greece produced in agreement with ELSTAT. (2) HPI data up until 2011 by Statistics Austria. For 2012, Eurostat estimates a deflated rate of 9.6% based on non-
harmonised HPI data by ECB & Central Bank of Austria. (3) Eurostat expressed a reservation on Austrian general government sector debt, see Eurostat press release 152/2013. (4) p= provisional data, e= estimated.
External Imbalances and Competitiveness Internal Imbalances
Current Account Balance
as % of GDP
Net Interna-
tional Invest-
ment Position
as % of GDP
Real Effective Exchange
Rate (42 IC - HICP
deflators)
Export Market Shares Nominal ULC
% y-o-y
change in
Deflated
House Prices
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 19 / 23
Data
Indicators: Problems
Design of policies has not started from first principles, but from generic
concerns and impatience
Worsen resource allocations, even increase overall systemic risks?
Selection, calibration, dynamics
Goodhart’s Law (1975)
“When a measure becomes a target, it ceases to be a good measure”
Leakages (shadow banking, modifying loans, cross-border lending)
Commitment, compliance and enforceability
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 20 / 23
Data
Compliance with ESRB Macroprudential Recommendations
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 21 / 23
Analysis
Analysis
Macroeconomic theory
Empirical basis essential
Data
Evaluation
Recommendations
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 22 / 23
Deliverables
Deliverables
Research
Workshops: Prague (2016), Barcelona (2017)
Policy briefs
Data and indicators
Feedback and cooperation
Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 23 / 23

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Macroeconomics and financial imbalances

  • 1. ADEMU WP3 Macroeconomic and Financial Imbalances and Spillovers Radim Boh´aˇcek CERGE-EI ADEMU Conference Cambridge, October 9, 2015 Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 1 / 23
  • 2. Objectives The Objectives of WP3 New understanding of the fiscal policy implications of cross-border economic interdependence within the EU — spillovers and imbalances New evidence on the cross-border spillover effects of fiscal and financial shocks in the euro area — implications for fiscal policies in EU countries Assess the role of macroeconomic and financial imbalances in the recent crisis and recession Analyse the existing institutional mechanisms for controlling imbalances and consider strategies for their effective improvement Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 2 / 23
  • 3. The Objectives of WP3 Spillover Effects of Fiscal and Financial Shocks Fiscal spillovers Canova and Gambetti: Impact of austerity measures adopted since 2011 Cui: Contagion in sovereign debt markets Financial spillovers Hansen: Volatility shocks during the recent crisis Portes: Euro area financial markets and sovereign default risk Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 3 / 23
  • 4. The Objectives of WP3 Macroeconomic and Financial Imbalances Banking and financial markets Rodriguez: Imbalances in interbank lending Jungherr: Convergence and asymmetries in financial regulation, bank transparency Marimon: Narrow banking to eliminate moral hazard Marimon: Potential role of credit-easing policies Macroprudential regulation and policies Portes: Macroprudential regulation against destabilizing international impulses Boh´aˇcek: Leverage bounds for regulation in financial markets Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 4 / 23
  • 5. Macroprudential Policies Macroprudential Policies Goal: financial stability, resilience to shocks, containment of systemic risk Instruments: supervision, regulation, stress tests, communication Institutions: central banks, regulatory bodies, finance ministries Interplay between the financial sector and the rest of the economy Tucker definition: Dynamically adjusting regulatory parameters to maintain systemic resilience Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 5 / 23
  • 6. Macroprudential Policies Macroprudential Policies: Targets Excessive credit growth and leverage Excessive maturity mismatch and market illiquidity Large exposures and interconnectedness Misaligned incentives/moral hazard Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 6 / 23
  • 7. Institutions Europe: Macro-prudential oversight of the financial system Stability and Growth Pact (Excessive Deficit Procedure (EDP)) European Stability Mechanism (ESM) European Systemic Risk Board (ESRB) European Banking Authority (EBA) Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 7 / 23
  • 8. Institutions New Financial Sector Regulatory Framework European banking union Capital markets union Bank Recovery and Resolution Directive (BRRD, bail-in) Single Resolution Mechanism (SRM, from 2016) Single Supervisory Mechanism (SSM): Macro-prudential policy Single Resolution Board (SRB) Capital and liquidity standards (Basel III, CRR, LCR) Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 8 / 23
  • 9. Institutions Other Regulatory Institutions Bank of England: Financial Policy Committee (FPC, systemic risk) Financial Stability Board (FSB, international financial stability) US: Financial Stability Oversight Council (FSOC) Office of Financial Research National institutions, central banks Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 9 / 23
  • 10. Institutions Macroprudential Policies: Issues Definition of goals (“sufficient” resilience) Tradeoff between stability and efficiency, distribution effects Secondary goals? Instruments Whom to regulate? Banking (shadow), households, corporations, government Micro- or macro-prudential policies Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 10 / 23
  • 11. Institutions Macroprudential Policies: Issues Short-term, certain and visible costs vs. long-term, uncertain and invisible benefits Uncertainty on the nature and severity of systemic risk Highly interconnected, complex linkages, dynamic How to test? Countercyclical —“time-series” dimension of systemic risk Leaning against the wind (Svensson) Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 11 / 23
  • 12. Institutions Macroprudential Policies: Institutions Cooperation and coordination Accountability and efficiency Crisis prevention and crisis management Conflict resolution (center, countries, institutions) Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 12 / 23
  • 13. Institutions Macroprudential Policies: Theory Political economy Game theory: cooperation and commitment of institutions Incentives: moral hazard and adverse selection Interactions with fiscal and monetary policies Target market failures Target systemic externalities: strategic complementarities and interconnectedness Rules vs. discretion Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 13 / 23
  • 14. Institutions Macroprudential Policies: Rules (John Taylor) Time inconsistency problem Reduction of uncertainty Clearer explanation and transparency Less short-run political pressure, accountability Historical benchmark, foundation for evaluation (Lucas critique) Great moderation 1980s and 1990s Crisis as deviation from the rules Higher permanent capital ratio better than lower counter-cyclical Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 14 / 23
  • 15. Institutions Macroprudential Policies: Rules (John Cochrane) Traditional regulation (stable, predictable rules) vs. active, discretionary micromanagement of the whole financial system Lack of understanding Bubbles detection failures (technology, housing, sovereign debt crises) Against fine tuning, discretion, political dependence Instead: robust financial system with limited run-prone, short-term debt Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 15 / 23
  • 16. Institutions Macroprudential Policies: Discretion Kocherlakota (2015): Pure discretion better than any rule (if central bank has many non-quantifiable sources of information) Bernanke (2011): Constrained discretion (a number instead of rules) IMF (2013): Guided discretion based on indicators complemented by numbers New regulatory framework Overcome the “inaction bias”! Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 16 / 23
  • 17. Institutions EU: Macroeconomic Imbalance Procedure (MIP) Surveillance mechanism to identify potential risks, prevent and correct macroeconomic imbalances Excessive Imbalance Procedure: corrective plan and enforcement (fines) Annual Alert Mechanism Report (AMR) for country specific recommendations AMR (2014): 16 countries with macroeconomic imbalances Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 17 / 23
  • 18. Data Indicators: MIP Scoreboard 10 Table 1.1: MIP scoreboard 2012 Year 2012 3 year average p.m.: level year % change (3 years) p.m.: % y-o-y change % change (5 years) p.m.: % y-o-y change % change (3 years) p.m.: % y-o-y change 3 year average p.m.: level year Thresholds -4/+6% - -35% ±5% & ±11% - -6% - +9% & +12% - +6% 14% 133% 60% 10% - 16.5% BE -0.4 -2.0 48 -4.3 -2.3 -14.9 -5.2 6.6 4.1 -0.2 -1.5 146 100 7.7 7.6 -3.9 BG -0.9 -1.3 -80 -4.0 -2.0 4.8 -5.5 7.4 -0.5 -5.3 (p) 2.5 132 19 11.3 12.3 10.1 CZ -3.0 -2.4 -50 0.4 -2.8 -4.2 -4.6 3.9 3.8 -3.9 0.6 72 46 7.0 7.0 5.4 DK 5.9 6.0 38 -7.7 -2.8 -18.6 -4.8 1.0 1.6 -5.1 6.1 239 45 7.5 7.5 5.0 DE 6.5 7.0 42 -8.9 -3.2 -13.1 -4.6 3.0 3.1 1.8 1.5 107 81 6.2 5.5 4.4 EE 0.9 -1.8 -54 -3.4 -0.6 6.5 -4.1 -2.8 4.2 3.5 4.7 129 10 13.2 10.2 12.9 IE 2.3 4.4 -112 -12.2 -4.3 -16.3 -3.3 -10.4 0.0 -11.7 -1.6 306 117 14.4 14.7 -0.7 EL -7.5 -2.4 -109 -4.5 -3.9 -26.7 -7.3 -8.1 -6.2 -12.4 (1) -6.8 129 157 18.2 24.3 -3.4 ES -3.1 -1.1 -93 -5.2 -2.3 -14.6 -4.9 -5.6 -3.0 -16.9 -10.5 194 86 22.3 25.0 3.3 FR -1.8 -2.2 -21 -7.8 -3.2 -14.0 -6.8 4.1 2.1 -2.3 3.5 141 90 9.9 10.2 -0.1 HR -0.5 0.0 -89 -8.3 -2.6 -24.7 -7.4 0.8 1.2 -2.4 -2.1 132 56 13.8 15.9 0.9 IT -2.3 -0.4 -25 -6.2 -1.8 -23.8 -5.0 3.1 2.3 -5.4 (p) -1.0 126 127 9.2 10.7 7.1 CY -6.7 -6.9 -82 -5.8 -1.9 -26.6 -9.4 0.8 -2.7 -2.2 10.0 299 87 8.7 11.9 -1.9 LV -0.6 -2.5 -67 -8.5 -1.4 12.3 5.4 -5.8 3.4 -0.6 -1 (p) 91.7 (p) 41 16.9 15.0 4.1 (p) LT -1.3 -0.2 -53 -6.7 -2.0 29.3 5.7 -4.6 1.9 -3.2 -0.3 63 41 15.6 13.4 -0.3 LU 7.0 6.6 169 -2.3 -1.4 -18.3 -4.0 9.8 4.7 2.5 -5.0 317 22 4.8 5.1 11.3 HU 0.6 1.0 -103 -1.2 -2.3 -17.8 -7.4 4.4 2.7 -9.2 -6.1 131 80 11.0 10.9 -8.3 MT -1.6 1.6 25 -7.7 -2.1 4.5 -1.9 4.9 3.7 0.3 -1.6 155 71 6.6 6.4 4.1 NL 8.8 9.4 47 -6.0 -1.8 -12.0 -3.3 3.3 2.8 -8.7 0.2 219 71 4.7 5.3 4.9 AT 2.2 1.6 0 -4.7 -1.7 -21.2 -6.3 4.1 3.0 na (2) 2.7 147 74 (3) 4.3 4.3 -0.9 PL -4.6 -3.7 -67 1.3 -2.3 1.3 -2.7 4.4 2.0 -5.9 (e) 3.4 75 56 9.8 10.1 9.6 PT -6.5 -2.0 -115 -4.0 -1.5 -16.0 -5.3 -5.3 -3.1 -8.6 (p) -5.4 224 124 13.6 15.9 -3.6 RO -4.4 -4.4 -68 -1.9 -6.0 5.9 -7.1 4.8 6.5 -9.2 0.9 73 38 7.2 7.0 5.3 SI 1.2 3.3 -45 -4.5 -1.2 -19.9 -6.9 0.4 0.8 -8.4 -2.9 114 54 8.1 8.9 -0.8 SK -1.7 2.2 -64 -3.2 0.0 4.2 1.5 0.9 1.0 -5.9 3.2 73 52 14.0 14.0 2.6 FI -0.5 -1.7 18 -8.3 -2.7 -30.8 -7.1 4.8 4.4 -0.5 (p) 9.0 158 54 8.0 7.7 -0.2 SE 6.2 6.0 -10 10.1 -0.8 -18.8 -6.0 0.7 2.9 -0.2 1.8 212 38 8.1 8.0 4.4 UK -2.8 -3.8 -9 5.8 4.3 -19.0 -1.7 6.1 3.0 -0.9 2.6 179 89 7.9 7.9 -4.3 Source: EUROSTAT, DG ECFIN (for the indicators on the REER). Private Sector Credit Flow as % of GDP, consolidated Private Sector Debt as % of GDP, consolidated General Government Sector Debt as % of GDP Unemployment Rate % y-o-y change in Total Financial Sector Liabilities Note: (1) Eurostat estimate based on HPI data from Bank of Greece produced in agreement with ELSTAT. (2) HPI data up until 2011 by Statistics Austria. For 2012, Eurostat estimates a deflated rate of 9.6% based on non- harmonised HPI data by ECB & Central Bank of Austria. (3) Eurostat expressed a reservation on Austrian general government sector debt, see Eurostat press release 152/2013. (4) p= provisional data, e= estimated. External Imbalances and Competitiveness Internal Imbalances Current Account Balance as % of GDP Net Interna- tional Invest- ment Position as % of GDP Real Effective Exchange Rate (42 IC - HICP deflators) Export Market Shares Nominal ULC % y-o-y change in Deflated House Prices Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 18 / 23
  • 19. Data Indicators: MIP Scoreboard 10 Table 1.1: MIP scoreboard 2012 Year 2012 3 year average p.m.: level year % change (3 years) p.m.: % y-o-y change % change (5 years) p.m.: % y-o-y change % change (3 years) p.m.: % y-o-y change 3 year average p.m.: level year Thresholds -4/+6% - -35% ±5% & ±11% - -6% - +9% & +12% - +6% 14% 133% 60% 10% - 16.5% BE -0.4 -2.0 48 -4.3 -2.3 -14.9 -5.2 6.6 4.1 -0.2 -1.5 146 100 7.7 7.6 -3.9 BG -0.9 -1.3 -80 -4.0 -2.0 4.8 -5.5 7.4 -0.5 -5.3 (p) 2.5 132 19 11.3 12.3 10.1 CZ -3.0 -2.4 -50 0.4 -2.8 -4.2 -4.6 3.9 3.8 -3.9 0.6 72 46 7.0 7.0 5.4 DK 5.9 6.0 38 -7.7 -2.8 -18.6 -4.8 1.0 1.6 -5.1 6.1 239 45 7.5 7.5 5.0 DE 6.5 7.0 42 -8.9 -3.2 -13.1 -4.6 3.0 3.1 1.8 1.5 107 81 6.2 5.5 4.4 EE 0.9 -1.8 -54 -3.4 -0.6 6.5 -4.1 -2.8 4.2 3.5 4.7 129 10 13.2 10.2 12.9 IE 2.3 4.4 -112 -12.2 -4.3 -16.3 -3.3 -10.4 0.0 -11.7 -1.6 306 117 14.4 14.7 -0.7 EL -7.5 -2.4 -109 -4.5 -3.9 -26.7 -7.3 -8.1 -6.2 -12.4 (1) -6.8 129 157 18.2 24.3 -3.4 ES -3.1 -1.1 -93 -5.2 -2.3 -14.6 -4.9 -5.6 -3.0 -16.9 -10.5 194 86 22.3 25.0 3.3 FR -1.8 -2.2 -21 -7.8 -3.2 -14.0 -6.8 4.1 2.1 -2.3 3.5 141 90 9.9 10.2 -0.1 HR -0.5 0.0 -89 -8.3 -2.6 -24.7 -7.4 0.8 1.2 -2.4 -2.1 132 56 13.8 15.9 0.9 IT -2.3 -0.4 -25 -6.2 -1.8 -23.8 -5.0 3.1 2.3 -5.4 (p) -1.0 126 127 9.2 10.7 7.1 CY -6.7 -6.9 -82 -5.8 -1.9 -26.6 -9.4 0.8 -2.7 -2.2 10.0 299 87 8.7 11.9 -1.9 LV -0.6 -2.5 -67 -8.5 -1.4 12.3 5.4 -5.8 3.4 -0.6 -1 (p) 91.7 (p) 41 16.9 15.0 4.1 (p) LT -1.3 -0.2 -53 -6.7 -2.0 29.3 5.7 -4.6 1.9 -3.2 -0.3 63 41 15.6 13.4 -0.3 LU 7.0 6.6 169 -2.3 -1.4 -18.3 -4.0 9.8 4.7 2.5 -5.0 317 22 4.8 5.1 11.3 HU 0.6 1.0 -103 -1.2 -2.3 -17.8 -7.4 4.4 2.7 -9.2 -6.1 131 80 11.0 10.9 -8.3 MT -1.6 1.6 25 -7.7 -2.1 4.5 -1.9 4.9 3.7 0.3 -1.6 155 71 6.6 6.4 4.1 NL 8.8 9.4 47 -6.0 -1.8 -12.0 -3.3 3.3 2.8 -8.7 0.2 219 71 4.7 5.3 4.9 AT 2.2 1.6 0 -4.7 -1.7 -21.2 -6.3 4.1 3.0 na (2) 2.7 147 74 (3) 4.3 4.3 -0.9 PL -4.6 -3.7 -67 1.3 -2.3 1.3 -2.7 4.4 2.0 -5.9 (e) 3.4 75 56 9.8 10.1 9.6 PT -6.5 -2.0 -115 -4.0 -1.5 -16.0 -5.3 -5.3 -3.1 -8.6 (p) -5.4 224 124 13.6 15.9 -3.6 RO -4.4 -4.4 -68 -1.9 -6.0 5.9 -7.1 4.8 6.5 -9.2 0.9 73 38 7.2 7.0 5.3 SI 1.2 3.3 -45 -4.5 -1.2 -19.9 -6.9 0.4 0.8 -8.4 -2.9 114 54 8.1 8.9 -0.8 SK -1.7 2.2 -64 -3.2 0.0 4.2 1.5 0.9 1.0 -5.9 3.2 73 52 14.0 14.0 2.6 FI -0.5 -1.7 18 -8.3 -2.7 -30.8 -7.1 4.8 4.4 -0.5 (p) 9.0 158 54 8.0 7.7 -0.2 SE 6.2 6.0 -10 10.1 -0.8 -18.8 -6.0 0.7 2.9 -0.2 1.8 212 38 8.1 8.0 4.4 UK -2.8 -3.8 -9 5.8 4.3 -19.0 -1.7 6.1 3.0 -0.9 2.6 179 89 7.9 7.9 -4.3 Source: EUROSTAT, DG ECFIN (for the indicators on the REER). Private Sector Credit Flow as % of GDP, consolidated Private Sector Debt as % of GDP, consolidated General Government Sector Debt as % of GDP Unemployment Rate % y-o-y change in Total Financial Sector Liabilities Note: (1) Eurostat estimate based on HPI data from Bank of Greece produced in agreement with ELSTAT. (2) HPI data up until 2011 by Statistics Austria. For 2012, Eurostat estimates a deflated rate of 9.6% based on non- harmonised HPI data by ECB & Central Bank of Austria. (3) Eurostat expressed a reservation on Austrian general government sector debt, see Eurostat press release 152/2013. (4) p= provisional data, e= estimated. External Imbalances and Competitiveness Internal Imbalances Current Account Balance as % of GDP Net Interna- tional Invest- ment Position as % of GDP Real Effective Exchange Rate (42 IC - HICP deflators) Export Market Shares Nominal ULC % y-o-y change in Deflated House Prices Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 19 / 23
  • 20. Data Indicators: Problems Design of policies has not started from first principles, but from generic concerns and impatience Worsen resource allocations, even increase overall systemic risks? Selection, calibration, dynamics Goodhart’s Law (1975) “When a measure becomes a target, it ceases to be a good measure” Leakages (shadow banking, modifying loans, cross-border lending) Commitment, compliance and enforceability Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 20 / 23
  • 21. Data Compliance with ESRB Macroprudential Recommendations Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 21 / 23
  • 22. Analysis Analysis Macroeconomic theory Empirical basis essential Data Evaluation Recommendations Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 22 / 23
  • 23. Deliverables Deliverables Research Workshops: Prague (2016), Barcelona (2017) Policy briefs Data and indicators Feedback and cooperation Radim Boh´aˇcek (CERGE-EI) ADEMU WP3 Cambridge 23 / 23