Macro-prudential Policy: Heterogeneity and Welfare Evaluation Caterina Mendicino • Economist DEE 10 February 2015 House Prices, Household Debt and the Financial Crisis Developments in house prices and mortgage market: seen by many as the primary cause of the recent …nancial crisis. During the boom years, U.S. house prices rose faster in areas where subprime and exotic mortgages were more prevalent (Tal 2006; Mian and Su… 2009; Pavlov and Wachter 2011). U.S. homeowners borrowed heavily against the rising value of their homes and defaulted massively when house prices faltered/they were no longer able to re…nance =) Household defaults sparked the recent …nancial crisis. () February 10, 2015 1 / 16 House Prices, Household Debt and the Financial Crisis Areas which experienced the largest run-ups in household leverage tended to experience the most severe recessions, as measured by the subsequent fall in durables consumption or the subsequent rise in the unemployment rate (Mian and Su… 2010). U.S household debt exceed 100% of GDP only twice in the last century: in 1929 (installment loans related to automobile/consumer durables purchases) and in 2006 (subprime mortgages). Imbalances in real estate often preceded systemic …nancial crises (overview Crowe et al. 2013) () February 10, 2015 2 / 16 Q1 2002 Q2 2002 Q3 2002 Q4 2002 Q1 2003 Q2 2003 Q3 2003 Q4 2003 Q1 2004 Q2 2004 Q3 2004 Q4 2004 Q1 2005 Q2 2005 Q3 2005 Q4 2005 Q1 2006 Q2 2006 Q3 2006 Q4 2006 Q1 2007 Q2 2007 Q3 2007 Q4 2007 Q1 2008 Q2 2008 Q3 2008 Q4 2008 Q1 2009 Q2 2009 Q3 2009 Q4 2009 Q1 2010 Q2 2010 Q3 2010 Q4 2010 Q1 2011 Q2 2011 Q3 2011 Q4 2011 Q1 2012 Q2 2012 Q3 2012 Q4 2012 Residential Property Prices EA Levels normalised to 100 for Q1 2002 210.00 190.00 170.00 150.00 130.00 110.00 90.00 Source: ECB calculations and DataStream Austria Belgium Finland Germany Greece Ireland Italy Netherlands Portugal Spain 2002Q1 2002Q2 2002Q3 2002Q4 2003Q1 2003Q2 2003Q3 2003Q4 2004Q1 2004Q2 2004Q3 2004Q4 2005Q1 2005Q2 2005Q3 2005Q4 2006Q1 2006Q2 2006Q3 2006Q4 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2009Q1 2009Q2 2009Q3 2009Q4 2010Q1 2010Q2 2010Q3 2010Q4 2011Q1 2011Q2 2011Q3 2011Q4 2012Q1 2012Q2 2012Q3 2012Q4 2013Q1 2013Q2 Households Total Loans to GDP EA amount outstanding (2002Q1=100) 280 260 240 220 200 180 160 140 120 100 80 Belgium Germany Spain Finland France Ireland Italy Netherlands Austria Portugal Source: ECB calculations and DataStream House Prices, Household Debt and the Financial Crisis The recent …nancial crisis questioned the traditional (micro) focus of …nancial supervision and regulation, and suggested the need to strengthen the preventive (macro-prudential) aspects of …nancial stability policies. EU: The institutional framework has been revised and now explicitly addresses both macro- and micro-prudential supervision. - The new European System of Financial Supervision: European Supervisory Authorities (EBA, EIOPA, ESMA); European Systemic Risk Board. - Banking Union: Single Supervisory Mechanism (SSM); Single Resolution Mechanism (SRM) () February 10, 2015 3 / 16 Real Estate and Macroprudential Regulatory Instruments Targeting banks (Sectorial capital requirements, Risk Weights, Loss given default) Targeting borrowers (Loan-to-value limits, Loan-to-income, debt-to-income limits or debt-service-to-income limits) Broader instruments against the build-up of widespread …nancial imbalances (Countercyclical capital bu¤er, Leverage ratio...) () February 10, 2015 4 / 16 Fast Growing Literature on E¤ects and Implementation of Macroprudential tools At this stage: urgent need to understand how/if these policies work Empirical evidence on e¤ectiveness these policies: - case-studies - main challenge: limited sample and use of instruments (especially for industrialized countries). Modelling and understanding the transmission mechanism: - challenging combine key ingredients: micro-founded …nancial intermediation, endogenous default, heterogeneity (propensity to borrow and consume), systemic distress/shocks - especially di¢ cult in General Equilibrium: essential to assess the importance of macro-prudential policies! =) both empirical and theoretical results helpful to shed light on macroeconomic/welfare/redistributive and side e¤ects of such policies! () February 10, 2015 5 / 16 This talk: Explores the e¤ects of changes in capital regulatory tools though the lens of a quantitative macro model of …nancial intermediation. Focuses on a particular angle: assessing potential heterogeneity in welfare/macroeconomic e¤ects on households with di¤erent propensity to borrow/consume () February 10, 2015 6 / 16 This talk: "Capital Regulation in a Macroeconomic Model with Three Layers of Defaults" with Laurent Clerc (BdF), S. Moyen (Bundesbank), A. Derviz (CNB), K. Nikolov and L. Stracca (ECB) J. Suarez (Cem…), A. Vardoulakis (now FRB). – Collective ESCB e¤ort: MaRs (macro-prudential research network) launched in Spring 2010 by the European System of Central Banks (27 European Union (EU) national central banks and the ECB) – Speci…c focus on capital requirements (CRs): qualitative assessment "Designing Capital Regulation in a Quantitative Macroeconomic Model" with K. Nikolov (ECB), J. Suarez (Cem…), D. Supera (ECB) – Fit to EA data, Stochastic Welfare – policy simulations and analysis () February 10, 2015 7 / 16 Model Structure () February 10, 2015 8 / 16 Overview Model HH, NFC and Banks features default risk due to a combination of iid and aggregate factors (real and …nancial shocks that a¤ect asset prices and riskiness of borrowers). Default causes bankruptcy costs Banks, have their leverage limited by a regulatory capital requirement. Deposits are formally insured, providing an implicit subsidy to lending made by risky banks. Despite DI, depositors su¤er transaction costs when banks fail =) deposit risk premium raises banks funding costs when APD high () February 10, 2015 9 / 16 "Capital Regulation in a Macroeconomic Model with Three Layers of Default" There is generally an optimal level of CRs Hump-shaped relationship between CRs and social welfare gains ) re‡ecting existence of a trade-o¤! Higher capital requirements reduce bank leverage: reduces banks’ defaults & supply of credit (Welfare Analysis based on ad-hoc Social Welfare function/ Pareto Weights; Steady state analysis) () February 10, 2015 10 / 16 "Designing Capital Regulation in a Quantitative Macroeconomic Model" Explore the trade-o¤: - welfare heterogeneity - stochastic quantitative model Fit to EA data: - reproduces salient features of EA data (2001:1-2013:4) such as ratios and volatilities of House prices, HH loans, NFC loans, Spreads, Write-O¤s. - Capital regulatory tools calibrated to average bank capital holding of EA 100 largest banks 2001-2007 (average bank capital 9.5%, minimum (φt 2std ) 8%, rw=0.5) Macroprudential Policy Tools: Capital requirements, Capital bu¤er, Risk weights/Sectorial Requirements () February 10, 2015 11 / 16 Capital Regulation Policy The macro-prudential authority sets the reference capital requirements applicable in period t using the formula φt = φ̄ + φb log bt b where is φ̄ the reference requirement and φb captures the existence of some cyclical adjustments which are assumed be a function of deviations of total loans, bt , from its long-run mean. The sector speci…c capital requirements are established as proportions of the reference requirement φt as φH ,t = τ φ φt , φF ,t = φt , () February 10, 2015 12 / 16 Optimization Optimization: φ̄ the reference requirement; +φb cyclical adjustments; mortgage risk weight τ φ Maximize Social Welfare Function Ṽt [ζVst + (1 ζ ) Vmt ] , (1) where ζe [0, 1] determines the Pareto Weights Vjt = fVst , Vmt g denotes the welfare (expected lifetime utility) of the savers and borrowers households Solution: we constrain the social welfare maximization problem so as to ensure that the optimized policies deliver a Pareto improvement relative to the baseline policy. () February 10, 2015 13 / 16 Optimal Macroprudential Tools w.r.t. Pareto Weights (A) Average Bank Capital Requirement φ 0.2 t (C) Risk Weight τ t φ +2std( φ ) 0.9 t capital conservation buffer + countercyclical buffer implied by the optimized policy rule. Average value implied CR 0.15 0.8 0.7 0.6 0.5 0 1 0.1 b 0.2 0.4 0.6 0.8 ζ (D) Cyclical Response φ 1 b 0.8 0.6 φ -2std( φ ) t t 0.4 minimum CR implied by the optimized policy rule 0.05 0 0.2 () 0.4 ζ 0.6 0.8 0.2 1 0 0 0.2 0.4 ζ 0.6 0.8 1 February 10, 2015 14 / 16 Welfare Trade-O¤s Welfare Level Savers Welfare Level Savers 78 Welfare Level Savers 77.5 77 76.95 77 76 76.9 75 76.5 74 73 0.1 0.15 φ 0.2 76.85 76 0.4 Welfare Level Borrowers 0.6 τφ 0.2 0.8 Welfare Level Borrowers 35 φb 0.6 0.8 Welfare Level Borrowers 35 34.5 0.4 35 34.9 34.95 34 34.8 33.5 0.15 φ 0.1 (A) Capital Requirements Level 0.2 34.7 0.5 0.6 τ 0.7 φ (B) Risk Weight 0.8 34.9 0.2 0.4 φb0.6 0.8 (C) Cyclical Response Ceteris Paribus Changes w.r.t. optimal policy that implies the same welfare gains (consumption equivalent) for Savers and Borrowers () February 10, 2015 15 / 16 Conclusion Our results document heterogeneity in welfare e¤ect of capital regulation The policy maker ends up facing a trade-o¤ between the welfare of the two types of agents Capital regulation policies can turn out to be optimal by bene…ting one group of households at the detriment of the other What about ......redistributive e¤ects? inequality? () February 10, 2015 16 / 16 Proportion of Indebted Households EA Source: 2008-2010 SURVEY Household Finance and Consumption Network (HFCN) 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% AT BE CY DE ES FI FR GR IT LU MT NL PT SI SK Total Share of Wage Income of Indebted HH EA Share of Housing Wealth (primary residence) of Indebted HH EA 90.00% 90.00% 80.00% 80.00% 70.00% 70.00% 60.00% 60.00% 50.00% 50.00% 40.00% 40.00% 30.00% 30.00% 20.00% 20.00% 10.00% 10.00% 0.00% 0.00% AT BE DE ES FI FR GR IT LU MT NL PT SI SK EA