The Socially Optimal Level of Capital Requirements: AViewfromTwoPapers. Javier Suarez* CEMFI. Federal Reserve Bank of Chicago, November 2012

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The Socially Optimal Level of Capital Requirements: AViewfromTwoPapers Javier Suarez* CEMFI Federal Reserve Bank of Chicago, 15 16 November 2012 *Based on joint work with David Martinez-Miera (Carlos III) and Rafael Repullo (CEMFI) 1

Introduction Capital regulation remains the centerpiece of banks micro- and macro-prudential regulation Basel III has opted for: Increasing the quality and quantity of the capital required to banks, Promoting the maintenance of new regulatory buffers (capital preservation + countercyclical) These reforms are intended to make banks more individually and systematically resilient... and less procyclical 2

Discussions about the pros and cons of this reform can be exemplified by two polar views: 1. Academics such as Admati et al. (2011) argue that: Claims about the large costs of rising the capital requirements are unwarranted Rising the requirements would not destroy much total value at an individual bank level and would more than compensate from an overall social welfare perspective 2. Banks and their lobbies work on different premises: Equity financing is really more costly (& hard to access) than debt Bank lending plays a key role in growth financing and imposing higher capital requirements will impair credit supply and real economic activity 3

My objective here is to summarize two recent research papers that capture some of the frictions commonly emphasized by the banks: Excess cost of equity financing Dynamic frictions affecting the accumulation/raising of equity capital by banks Economic fluctuations & systemic shocks that may give rise to procyclical effects 4

Common conclusions: 1. The socially optimal level of the capital requirements is possibly higher than the levels observed prior to this crisis 2. The positive welfare effects of introducing higher capital requirements are compatible with the prediction that their introduction may imply losses in aggregate credit & economic activity The papers also yield important insights regarding: The (lack of) desirability of (strong) countercyclical adjustments The desirability of introducing the higher requirements in a gradual way 5

Paper 1 ( The Procyclical Effects of Bank Capital Regulation, with R. Repullo) Focuses on the procyclicality induced by capital requirements in the context of a simple OLG model of relationship banking Borrowers need loans for two consecutive periods and become dependent on initial lenders Banks with ongoing relationships cannot issue equity ( they only access the equity market every other period) Systemic risk results from banks voluntary exposure to a rare common shock which is attractive to them Business/credit cycle captured as 2-state Markov chain for loans PDs (s=l: low PD;s=h: high PD) 6

Losses due to an abnormally high default rate (or an increase in the capital requirement γ s ) can produce a credit crunch K γ s L L K γ s [K: bank capital, L: loans] But banks may hold (voluntary) capital buffers asaprecaution We calibrate the model with US pre-crisis data Two sets of results: 1. Positive: Basel I / Basel II / Laissez-faire regime (γ=0) 2. Normative: Basel I / Basel II / Socially optimal γ s Social welfare = NPV of income flows - E(social cost of bank failure) 7

Numerical results (i) Loan rates and capital buffers (%) Rates Capital Buffers r l r h k l k h l h Basel I 1.3 3.2 6.7 6.3 2.7 2.3 Basel II 1.3 3.3 6.9 6.7 3.8 1.2 Laissez-faire 0.8 2.5 4.2 3.4 4.2 3.4 Comments: Capital regime has small effectonloanrates Sizeable buffers: noncyclical under Basel I; higher in expansions under Basel II 8

Numerical results (ii) Expected credit rationing in state s 0 (%) Conditional on s s 0 l l l h h h h l Uncond. Basel I 2.4 2.4 9.3 9.3 4.9 Basel II 0.9 12.6 12.4 5.3 5.6 Laissez-faire 3.2 3.2 17.2 17.2 8.2 Comments: Basel II has procyclical effects: increases rationing in s 0 = h, especially after s = l decreases rationing in s 0 = l, especially after s = h Unconditionally, Basel II increases expected credit rationing 9

Numerical results (iii) Probabilities of bank failure (%): 1stperiodbanks 2ndperiodbanks s = l s = h s = l s = h Uncond. Basel I 0.20 2.87 0.03 1.50 0.86 Basel II 0.16 2.25 0.05 0.76 0.61 Laissez-faire 3.7 17.15 0.55 10.21 6.09 Comments: γs have clear impact on the risk of bank failure Basel II makes banks safer than Basel I, especially in state s = h 10

Social welfare vs social cost of bank failure c W 0.0975 0.0925 0.0875 0.0825 0.00 0.10 0.20 0.30 0.40 0.50 0.60 Basel I Laissez-faire Basel II Optimal requirements c Basel 1 Â Basel II for very low c Basel II requirements ' socially optimal γs forc ' 0.25 11

Optimal γ s vs social cost of bank failure c 8% γ s 7% 6% 5% 4% 3% 2% 1% 0% 0.00 0.10 0.20 0.30 0.40 0.50 0.60 Basel II, s=l Basel II, s=h Optimal, s=l Optimal, s=h c 12

Summing up: 1. Banks react to Basel II by increasing their buffers 2. Basel II is more procyclical than Basel I but makes bank safer and is generally superior in welfare terms 3. For high social cost of bank failure, the socially optimal requirements are higher but less cyclically varying [Consistent with Basel III?] 13

Paper 2 ( A Macroeconomic Model of Endogenous Systemic Risk Taking, with D. Martinez-Miera) Simple macroeconomic model with endogenous systemic risk Systemic risk results from banks voluntary exposure to a rare common shock which is attractive to them due to standard risk-shifting incentives of levered firms [ Heads we win, tails you lose ] Banks extend loans to firms, financing investments that may be: systemic (with highly correlated failures if rare shock occurs) non-systemic (with low correlation failures at all times) [Systemic lending is more profitable if shock does not realize, but unconditionally, it is less profitable socially inefficient] 14

Capital requirements cannot be made contingent on the systemic/nonsystemic nature of bank loans, because such feature is not ex ante observable to outsiders... Capital requirements are satisfied with the wealth that bankers accumulate via earnings retention Importantly, even a flat capital requirement γ can help control banks systemic gambling incentives Standard leverage-reduction effect from rising γ Increase in the incentives to preserve wealth when other bankers are losing wealth [Last bank standing effect like in Perotti-Suarez 2002] However, increasing γ makes bank capital effectively scarcer at all times less credit lower economic activity 15

Minimal notation needed to understand the figures: Single state variable is bankers aggregate wealth e Two important endogenous variables (functions of e) v(e) :value of one unit of bankers wealth x(e) :fraction of e devoted to systemic lending activities 16

3.005 Social welfare W as a function of γ 3 2.995 Social welfare 2.99 2.985 2.98 2.975 2.97 6% 8% 10% 12% 14% 16% 18% Capital requirement Figure 1: W (γ) [we compare γ =14% with γ=7%] 17

v(e) and x(e) under low and optimal γ 10 1 9 0.9 8 0.8 Value of one unit of bank capital (v) 7 6 5 4 3 2 optimal capital requirement (14%) low capital requirement (7%) Systemic risk taking (x) 0.7 0.6 0.5 0.4 0.3 0.2 optimal capital requirement (14%) low capital requirement (7%) 1 0.1 0 0 0.5 1 1.5 2 2.5 Aggregate amount of bank capital (e) Figure 2a: v(e) 0 0 0.5 1 1.5 2 2.5 Aggregate amount of bank capital (e) Figure 2b: x(e) 18

Equilibrium dynamics with low and optimal γ 3 Equilibrium dynamics (CR=7%) 3 Equilibrium dynamics (CR=14%) 2.5 Dynamics if no shock realizes 2.5 Dynamics if shock realizes Aggregate bank capital at t+1 2 1.5 1 45-degree line Aggregate bank capital at t+1 2 1.5 1 Dynamics if no shock realizes 0.5 0.5 Dynamics if shock realizes 45-degree line 0 0 0.5 1 1.5 2 2.5 Aggregate bank capital at t 0 0 0.5 1 1.5 2 2.5 Aggregate bank capital at t Figure 3a (γ =7%) Figure 3b (γ =14%) 19

Quantitative results Optimal capital requirements: positive and large (14%) Comparison γ=7% γ=14% (unconditional means) Lower fraction of systemic loans: 71% 24% Higher loan rates: 4.1% 5.6% Lower macro aggregates: bank credit ( 21%), GDP ( 7%) Higher social welfare: ' +0.9% permanent consumption Variation in year-after-shock aggregates: γ=7%: loan rate (+11.6pp), bank credit (-65%), GDP (-32%) γ=14%: loan rate (+2.5pp), bank credit (-24%), GDP (-10%) 20

Value of gradualism (Welfare for different γs &years of transition) 2.999 2.994 15% 13% 14% 11% 12% Social welfare 2.989 2.984 9% 10% 2.979 8% 2.974 0 10 20 30 40 Years of transition 21

Summing up: 1. Capital requirements have a significant impact on systemic risktaking, macroeconomic & banking indicators, and welfare 2. Socially optimal capital requirements: a) are quite high, b) involve a sizeable reduction in GDP relative to the status quo, and c) should be gradually introduced 22

Conclusions The explicit normative analysis of bank regulation can yield surprising results One does not need to minimize the importance of frictions affecting the cost (or the raising) of equity financing to find significant welfare gains associated with the reinforcement of capital requirements: Higher capital requirements are likely to reduce credit and GDP But this is a price worth paying (in social welfare terms) in order to reduce bank failure probabilities & induce better ex ante risk taking decisions 23

The optimal design of capital regulation calls for: An explicit recognition of complex trade-offs The adoption of a proper social risk management perspective The full consideration of dynamic issues that may be of relevance to establish The right time for the adoption of higher requirements The extent to which such adoption must be gradual over time The possible need for countercyclical adjustments 24

References Admati, A., P. DeMarzo, M. Hellwig, and P. Pfleiderer (2011), Fallacies, Irrelevant Facts, and Myths in the Discussion of Capital Regulation: Why Bank Equity is Not Expensive, Stanford GSB Research Paper No. 2063. Basel Committee on Banking Supervision (2010), Basel III: A global regulatory framework for more resilient banks and banking systems, Basel, Switzerland: Bank for International Settlements. Brunnermeier, M., and Y. Sannikov (2011), A Macroeconomic Model with a Financial Sector, mimeo, Princeton University. Freixas, X., and J.-C. Rochet (2008), Microeconomics of Banking,2nd Edition, Cambridge, MA: MIT Press. Gertler, M., and N. Kiyotaki (2010), Financial Intermediation and Credit Policy in Business Cycle Analysis, in Benjamin Friedman 25

and Michael Woodford (eds.), Handbook of Monetary Economics, vol. 3, Elsevier, 547 599. Hanson, S., A. Kashyap, and J. Stein (2011), A Macroprudential Approach to Financial Regulation, Journal of Economic Perspectives, 25, 3 28. Martinez-Miera, D., and J. Suarez (2012), A Macroeconomic Model of Endogenous Systemic Risk Taking, CEPR DP 9134. Perotti, E., and J. Suarez (2002), Last Bank Standing: What Do I Gain if You Fail?, European Economic Review, 46, 1599-1622 Repullo, R., and J. Suarez (2012), The Procyclical Effects of Bank Capital Regulation, Review of Financial Studies, forthcoming. 26