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Evidence on the response of US banks to changes in capital requirements

01 Jun 2000-Social Science Research Network (Bank for International Settlements, Monetary and Economic Department)-
TL;DR: In this paper, the authors developed a structural, dynamic model of a banking firm to analyze how banks adjust their loan portfolios over time, and the optimal bank response to changes in capital requirements, shocks to bank capital, and changes to bank loan demand is simulated.
Abstract: This paper develops a structural, dynamic model of a banking firm to analyze how banks adjust their loan portfolios over time. In the model, banks experience capital shocks, face uncertain future loan demand, and incur costs based on their proximity to regulatory minimum capital requirements. Non-linear relationships between bank capital levels and lending are derived from the model, and key parameters are estimated using panel data on large US commercial banks operating continuously between December 1989 and December 1997. Using the estimated model, the optimal bank response to changes in capital requirements, shocks to bank capital, and changes to bank loan demand is simulated. The simulations predict that increases in risk-based and leverage capital requirements, negative capital shocks, or a decline in loan demand cause a reduction in loan growth. Nevertheless, by calculating the optimal portfolio response to these various changes, it is shown that changes in capital regulation are a necessary ingredient to explain the decline in loan growth and the rise in bank capital ratios witnessed nearly a decade ago. Thus, this study suggests that the current effort to redesign bank capital requirements should work under the assumption that banks will optimally respond to the economic incentives found in the regulation.

Summary (3 min read)

1. Introduction

  • Bank supervision and regulation have again become timely topics in the light of the current banking problems in many Asian nations.
  • This paper explores this issue by providing evidence on the response of banks to the last major overhaul of capital regulation.
  • These authors find that a higher level of risk-based capital relative to a bank’s target affects bank loan supply.
  • A different approach was taken by Hancock, Laing, and Wilcox [1995].
  • Further, the results suggest that although many factors may cause a decline in loan growth, only changes in capital regulation can simultaneously explain all of the shifts in bank portfolios that occurred in the United States nearly 10 years ago.

2.1 The balance sheet

  • Prior to risk-based capital (RBC) requirements, banks could only increase their regulatory capital ratios by either reducing assets or issuing equity.
  • The introduction of RBC allowed a bank to increase its regulatory capital ratios by adjusting the composition of its assets, both on and off the balance sheet.
  • For this reason, a model that analyses the risk-based capital requirements must disaggregate the assets of a bank.
  • I assume that the asset side of a bank’s balance sheet consists only of loans L and default-free securities S.4.
  • The model generalises to both n asset types as well as the inclusion of off-balance sheet items.

2.2 Capital requirements

  • There are two types of capital requirements.
  • When a bank fails to meet its capital requirement, regulators impose a variety of restrictions on bank activities.
  • The closer a bank is to the regulatory minimum, the more likely these costs are to occur.
  • The per dollar leverage requirement costs are multiplied by total assets to capture the fact that both loans and securities are subject to this requirement.
  • The model assumes that a bank pays adjustment costs when it adjusts the growth of its loan portfolio over time at a rate different from what is dictated by its loan demand.

2.5 Uncertainty and the evolution of capital

  • 7 Equation (5) implies that capital accumulates independent of adjustment costs j.
  • That is, adjustment costs are incurred by management rather than bank equity holders.
  • At the beginning of time t, the bank observes prevailing interest rates as well as the current period capital shock, εt.
  • With these observable variables and their expectations, the bank chooses its lending, the quantity of default-free securities to buy, and the amount of equity to issue.

2.7 Estimation framework

  • Equation 8 equates the marginal return to securities with the marginal capital requirement costs and equity costs.
  • Equation 9 ensures the optimal issuance of new equity capital.

3. Estimation

  • The data used in the estimation come from the Bank Call Reports.
  • The data used are quarterly, beginning in September 1989 and continuing through December 1997.
  • Interest rates were measured as the weighted average effective loan rate on all commercial and industrial loans taken from the Federal Reserve’s quarterly Survey of Terms of Bank Lending ( Ltr ), the rate on the two-year constant maturity treasury note ( Str ), and the rate on secondary market six-month CDs ( D tr ).
  • The parameters η1 and ν1 influence the marginal cost of the bank’s capital positions.

4. Simulation results

  • Table 2 below gives the assumed values of the unidentified parameters and the resulting steady state solution for loan growth, capital ratios, and the new equity to asset share that will be used in the simulations presented.
  • Suppose the risk-based capital requirement d was increased by 1%.
  • A bank would then reoptimise since its previous capital ratios were determined under the previous capital requirement regime.

4.1 An increase in capital requirements

  • Figure 3 plots both dynamic paths of loan growth, security growth, and new equity 9 Following higher risk-based requirements, securities growth increases by nearly 35%.
  • These larger percentage changes are driven both by the lack of adjustment costs assumed in the model, and by the fact that securities make up a smaller proportion of the overall portfolio.
  • The optimal bank response actually entails curtailing equity issuing, which saves the cost of issuing equity, and reducing securities.
  • That is, the bank’s risk-based capital ratio rises from 9% to 10% following a 1% rise in the risk-based requirement.

4.2 A negative shock to bank capital and a negative shock to loan demand

  • This section investigates two other shocks to the bank steady state that one may be interested in exploring.
  • The results from these two shocks are graphed in Figure 4.
  • In other words, the shock is the size that in the absence of bank adjustment would lower the bank’s risk- 13 based capital ratio by 1%.
  • That is, loan demand is presumed to return to its baseline value after four quarters.
  • Since fewer profitable opportunities are needing funding, capital issuing can fall and the bank can still maintain its capital ratios at their original levels.

4.3 Implications for the last US credit crunch

  • The simulations in the previous two subsections indicate that a variety of different factors cause a decline in the growth rate of lending.
  • Each of the shocks considered e.g. (1) increase in riskbased capital requirements, (2) increase in leverage requirements, (3) negative shock to bank capital, and (4) negative shock to loan demand - has different implications with regard to securities growth, capital ratios, and equity issuing.
  • These qualitative results as well as what occurred in the United States during the early 1990s are summarised in Table 3.
  • In particular, only changes to capital requirements cause a bank to optimally increase its capital ratios.
  • The model simulations suggest that implementation of risk-based capital requirements and a simultaneous, yet perhaps smaller, rise in required leverage ratios would be sufficient to explain the dramatic portfolio adjustment that occurred in US commercial bank portfolios.

5. Conclusions

  • This paper develops a dynamic model of a banking firm in an environment with risk-based and leverage capital requirements.
  • Implications of the model are estimated using data on US commercial banks to derive estimates of the marginal cost of bank capital requirements.
  • In particular, it was shown that neither a fall in loan demand nor shocks to bank capital can simultaneously explain a decline in lending and a rise in bank capital ratios.
  • The conclusions from this paper support the intuitive notion that changes to a bank’s incentives will cause a change in bank behaviour.
  • This result should be appreciated in the light of the current review of bank capital requirements.

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BIS WORKING PAPERS
No. 88 – June 2000
EVIDENCE ON THE RESPONSE
OF US BANKS TO CHANGES
IN CAPITAL REQUIREMENTS
by
Craig Furfine
BANK FOR INTERNATIONAL SETTLEMENTS
Monetary and Economic Department
Basel, Switzerland

BIS Working Papers are written by members of the Monetary and Economic Department of the Bank for
International Settlements, and from time to time by other economists, and are published by the Bank. The papers
are on subjects of topical interest and are technical in character. The views expressed in them are those of their
authors and not necessarily the views of the BIS.
Copies of publications are available from:
Bank for International Settlements
Information, Press & Library Services
CH-4002 Basel, Switzerland
Fax: +41 61 / 280 91 00 and +41 61 / 280 81 00
This publication is available on the BIS website (www.bis.org).
© Bank for International Settlements 2000.
All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated.
ISSN 1020-0959

BIS WORKING PAPERS
No. 88 June 2000
EVIDENCE ON THE RESPONSE
OF US BANKS TO CHANGES
IN CAPITAL REQUIREMENTS
by
Craig Furfine *
Abstract
This paper develops a structural, dynamic model of a banking firm to analyse how
banks adjust their loan portfolios over time. In the model, banks experience capital
shocks, face uncertain future loan demand, and incur costs based on their proximity
to regulatory minimum capital requirements. Non-linear relationships between
bank capital levels and lending are derived from the model, and key parameters are
estimated using panel data on large US commercial banks operating continuously
between December 1989 and December 1997. Using the estimated model, the
optimal bank response to changes in capital requirements, shocks to bank capital,
and changes to bank loan demand is simulated. The simulations predict that
increases in risk-based and leverage capital requirements, negative capital shocks,
or a decline in loan demand cause a reduction in loan growth. Nevertheless, by
calculating the optimal portfolio response to these various changes, it is shown that
changes in capital regulation are a necessary ingredient to explain the decline in
loan growth and the rise in bank capital ratios witnessed nearly a decade ago.
Thus, this study suggests that the current effort to redesign bank capital
requirements should work under the assumption that banks will optimally respond
to the economic incentives found in the regulation.
* The views expressed do not necessarily represent those of the Bank for International Settlements


Contents
1. Introduction .................................................................................................................1
2. The model....................................................................................................................4
2.1 The balance sheet.............................................................................................. 4
2.2 Capital requirements ......................................................................................... 5
2.3 Adjustment costs............................................................................................... 6
2.4 Market setting.................................................................................................... 7
2.5 Uncertainty and the evolution of capital ...........................................................7
2.6 The bank maximisation problem.......................................................................7
2.7 Estimation framework.......................................................................................8
3. Estimation....................................................................................................................8
4. Simulation results...................................................................................................... 11
4.1 An increase in capital requirements................................................................ 11
4.2 A negative shock to bank capital and a negative shock to loan demand.........12
4.3 Implications for the last US credit crunch....................................................... 13
5. Conclusions...............................................................................................................14
References................................................................................................................................. 20

Citations
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Posted Content
TL;DR: In this paper, the interaction between cyclical capital rules and alternative types of monetary policy in the context of a dynamic stochastic general equilibrium model was studied, and it was shown that with reasonably large buffers, the economy behaves just as well as when there is no regulation, in which case a very strongly cyclical rule would be required to have significant effects.
Abstract: The financial crisis of 2008/09 revived attention given to credit booms and busts and bank credit pro-cyclicality. The regulation guidelines of Basel III attempt to improve the quality of bank capital and explicitly includes a capital buffer to address cyclicality. In this paper we study the interaction between cyclical capital rules and alternative types of monetary policy in the context of a dynamic stochastic general equilibrium model. We find that: First, capital requirements amplify the effects of various exogenous shocks. Second, anti-cyclical requirements (as in Basel III) indeed, and as intended by the regulation, have important stabilization properties relative to the case of constant requirements (as in Basel I). This is true for all types of fluctuations that we study, which include those caused by productivity, demand-side, preference and monetary shocks. The quantitative results are sensitive to the size of the capital buffer (over minimum requirements) optimally held by banks. In particular, with reasonably large buffers, the economy behaves just as when there is no regulation, in which case a very strongly cyclical capital rule would be required to have significant effects.

Additional excerpts

  • ...[19] Furfine, C....

    [...]

01 Jan 2012
TL;DR: In this paper, the determinants of capital buffer on 16 biggest comercial banks in Indonesia were analyzed for the period 2004-2010, and the empirical result showed that capital buffer is affected mainly by two variables: Non Performing Loand and Increment of Capital Buffer.
Abstract: This study aims to analyze the determinants of capital buffer on 16 Biggest comercial banks in Indonesia. Research model based on Ayuso, et al. (2004), Tabak, et al. (2011), and Jokipii and Milne (2008). The model consists of 5 independent variables that are Return on Equity (ROEt-1), Non Performing Loan (NPL), Increment of Capital Buffer (IncrBUFF), Loans to Total Assets (VLOAN), and Bank’s Share Assets (BSA) and one dependent variable which is Capital Buffer (BUFF). This study conducted for the period 2004-2010. The empirical result showed capital buffer is affected mainly by two variables: Non Performing Loand and Increment of Capital Buffer. NPL positive sign signaling that comercial banks adopt a conservative behavior and do not take risks. Return on Equity (ROEt-1) affected negaively to capital buffer, it is signaling that comercial banks in Indonesia may have unlimited acces to external capital and/or prefer their financing from equity. Loans to Total Assets (VLOAN) have negative and significant on influencing capital buffer, it also signaling that comercial banks in Indonesia use “bacward-looking” strategy by reducing their capital buffer during the boom of credit activities. Bank’s Share Assets (BSA) finding is supporting Too Big To Fail (TBTF) nature that suggest the large banks tend to maintain their capital buffer lower than small banks.

Cites background from "Evidence on the response of US bank..."

  • ...The Influence of NPL to Capital Buffer The theory predicts non performing loan (NPL) should be positive in determining capital buffer since higher risks increase the probability of meeting regulatory capital constraints and facing the related costs such as market discipline and supervisory intervention (Furfine, 2000; Estrella, 2004)....

    [...]

  • ...It’s occur since higher risks will increase the probability of meeting regulatory capital constraints and facing the related costs such as market discipline and supervisory intervention (Furfine, 2000; Estrella, 2004)....

    [...]

  • ...6 since higher risks increase the probability of meeting regulatory capital constraints and facing the related costs such as market discipline and supervisory intervention (Furfine, 2000; Estrella, 2004)....

    [...]

  • ...Therefore, Furfine (2001) mentions that banks may hold capital buffers as insurance to avoid cost about market discipline and supervisory intervention if they approach or fall below the regulatory minimum capital ratio....

    [...]

Posted Content
01 Jan 2011
TL;DR: In this paper, the impact of economic activity on bank capital over the period February 2002 to March 2009 was evaluated by estimating an equation for the determinants of bank capital, which incorporates an indicative measure of growth in economic activity.
Abstract: This paper applies the GMM technique to panel data for the Jamaican banking sector to evaluate the impact of economic activity on bank capital over the period February 2002 to March 2009. This relationship is evaluated by estimating an equation for the determinants of bank capital, which incorporates an indicative measure of growth in economic activity. Findings for the merchant banking sector as well as for small commercial banks show that there is a significant inverse relationship between growth in economic activity and current and excess capital holdings, providing evidence of procyclicality or the likelihood for banking activity to reinforce economic credit cycles. Findings for the building societies show a statistically insignificant relationship between bank capital and growth in economic activity. Additionally, overall results show that merchant banks and commercial banks with a higher weight of GOJ sovereign bonds as a proportion of assets hold higher capital buffers as a means of covering additional exposure related to market risk. Smaller commercial banks respond to deterioration in loan quality by reducing excess capital and may be reflective of increased provisioning by these institutions in response to increased default risk. Of importance is that commercial and merchant banks, in particular the smaller institutions, respond to increases in cost of capital by increasing excess capital in order to satisfy future funding needs. Moreover, based on the results for the commercial banks and merchant banks, and given the potential for increased risk sensitivity of capital requirements under Basel II, supervisors should explore various tools prior to the implementation of the new accord, in order to limit excessive procyclicality of bank capital and help safeguard macro financial stability.
01 Jan 2015
TL;DR: In this paper, the authors apply sample selection method to examine the relationship between profitability and capital adequacy ratio of Iranian banks, and apply a sample selection model illustrates that there are two decision and selection equations.
Abstract: This paper applies sample selection method to examine the relationship between profitability and capital adequacy ratio of Iranian banks. The reason why sample selection model estimation is assumed to be utilized would be banks which do not comply with the minimum capital adequacy ratio requirement would not denote their actual profitability in the profit/loss statement. Even though this information is reflected in their annual financial statement, given the relationship among the financial statement variables, it could not be justified that banks which are profitable would be able to comply with the capital adequacy ratio. In other words, the bank which does not meet the capital adequacy requirement would not be profitable. Based on the accounting and economic rules which are transparently depicted and applied in the Basel Accords, loss of the banks results in a sudden decrease in banks’ equity. Applying a sample selection model illustrates that there are two decision and selection equations. Main covariates such as demand deposit to total assets, loans to total assets, saving deposits to total deposits and nonperforming loans to total assets prove to be negatively significant.
01 Jan 2013
TL;DR: In this paper, the authors argue that the change in riskweight on residential mortgages which was introduced in the Basel II framework was sucient in reversing the correlation pattern between both ratios, which inherently changed the binding constraints on banks between the two crises.
Abstract: Basel regulators have received widespread criticism for failing to prevent two credit crises that hit the U.S. over the last two decades. Yet, banks prior to the onset of the subprime crisis of 2007-2009, were considerably overcapitalized compared to those who had undergone the 1990-1991 recession. Hence, if the capital requirements were largely met for the second crisis, how could the Basel framework be blamed again for having accelerated if not caused another credit crunch? In this paper, we nd that the answer lies in the changing dynamics between two dierent regulatory requirements, the capital ratio and the leverage ratio. Indeed, we argue that the change in riskweight on residential mortgages which was introduced in the Basel II framework was sucient in reversing the correlation pattern between both ratios. This inherently changed the binding constraints on banks between the two crises. Our reasoning is based on a formula linking the two ratios together which is derived from the sensitivity of the risk-based capital ratio to a change in its risk-weight(s). The implication of our work on the phasing in of Basel III consists in validating the newly established capital increments in a mathematical rather than heuristical approach. JEL classication : G2 E5
References
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ReportDOI
TL;DR: In this article, a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction is described.
Abstract: This paper describes a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction. It also establishes consistency of the estimated covariance matrix under fairly general conditions.

18,117 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed a theory of financial intermediation based on minimizing the cost of monitoring information which is useful for resolving incentive problems between borrowers and lenders, and presented a characterization of the costs of providing incentives for delegated monitoring by a financial intermediary.
Abstract: This paper develops a theory of financial intermediation based on minimizing the cost of monitoring information which is useful for resolving incentive problems between borrowers and lenders. It presents a characterization of the costs of providing incentives for delegated monitoring by a financial intermediary. Diversification within an intermediary serves to reduce these costs, even in a risk neutral economy. The paper presents some more general analysis of the effect of diversification on resolving incentive problems. In the environment assumed in the model, debt contracts with costly bankruptcy are shown to be optimal. The analysis has implications for the portfolio structure and capital structure of intermediaries.

7,982 citations

Posted Content
TL;DR: In this article, a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction is described.
Abstract: This paper describes a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction. It also establishes consistency of the estimated covariance matrix under fairly general conditions.

5,822 citations

Journal ArticleDOI
TL;DR: In this article, a dynamic theory of "customer relationships" in bank loan markets is presented, based on a traditional view of bank lending behavior, first spelled out by Hodgman and Kane and Malkiel (1965) and later elaborated upon by Wood (1975).
Abstract: Customer relationships arise between banks and firms because, in the process of lending, a bank learns more than others about its own customers. This information asymmetry allows lenders to capture some of the rents generated by their older customers; competition thus drives banks to lend to new firms at interest rates which initially generate expected losses. As a result, the allocation of capital is shifted toward lower quality and inexperienced firms. This inefficiency is eliminated if complete contingent contracts are written or, when this is costly, if banks can make nonbinding commitments that, in equilibrium, are backed by reputation. THIS PAPER DERIVES A dynamic theory of "customer relationships" in bank loan markets. The theory builds on a traditional view of bank lending behavior, first spelled out by Hodgman (1961) and Kane and Malkiel (1965) and later elaborated upon by Wood (1975). According to this view, an essential factor underlying a bank's loan pricing policy is its impact on the bank's stock of loyal customers, as well as on those customers' deposits. Rather than take relationships as a given, we examine the implications of the view expressed, for example, by Fama (1985), that they arise because of "inside information" generated by the history of bankfirm interactions. In our theory, customer relationships arise endogenously as a consequence of the asymmetric evolution of information sets. In contrast with most theories of pricing under asymmetric information, though, the key informational asymmetry postulated here is that which arises between agents on the same side of the market. We exploit the presumption, made by Kane and Malkiel (1965) and Fama (1985), that a bank which actually lends to a firm learns more about that borrower's characteristics than do other banks. A fundamental consequence of this asymmetric evolution of information is the potential creation of ex post, or temporary, monopoly power. If it is relatively costly for banks and firms to write multiperiod contingent contracts, this ex post monopoly power has undesirable effects on the allocation of capital. Even though banks earn zero expected profit over the lifespan of the average customer relationship, they are not disciplined by the market to offer

2,064 citations

Journal ArticleDOI
01 Jan 1991
TL;DR: A notable lack of consensus about the importance of a credit crunch in the banking sector, its causes, and even the meaning of the term has emerged as mentioned in this paper, although it is too early to say whether the credit crunch played a role in the 1990s economic crisis.
Abstract: ACCORDING TO many popular accounts, the severity of the recession that began in July 1990 was worsened by financial distress-or, at least, by financial discomfort-in a number of sectors of the economy. Much of this discussion centered on the so-called "credit crunch" in the banking sector. ' As early as the spring of 1990, some months before the recession began, there were newspaper reports (mostly anecdotal) of banks cutting back on lending, sometimes with deleterious effects on retailers and other bank borrowers. In June the secretary of commerce called the credit crunch a serious problem,2 and congressional hearings on the issue were held during the summer. As the recession arrived in July and then deepened during the fall, the view that a credit crunch was playing at least some role in the downturn became increasingly widespread among policymakers, including some at the Federal Reserve. Despite these developments, there was, and still is, a notable lack of consensus about the importance of a credit crunch in the banking sector, its causes, and even the meaning of the term. Although it is too early to

1,446 citations

Frequently Asked Questions (2)
Q1. What are the contributions in "Evidence on the response of us banks to changes in capital requirements" ?

This paper develops a structural, dynamic model of a banking firm to analyse how banks adjust their loan portfolios over time. Thus, this study suggests that the current effort to redesign bank capital requirements should work under the assumption that banks will optimally respond to the economic incentives found in the regulation. 

11 These results do not preclude the possibility that changing loan demand influenced bank portfolios, but only preclude that a decline in loan demand alone can explain all of the actual portfolio adjustments.