Analysis of Stigma and Bank Credit Provision

Bank rescue programs are designed to provide assistance to struggling financial intermediaries during financial crises. A complicating factor is that participating banks are often stigmatized by accepting assistance from the government. This paper investigates stigma in two ways: (i) it examines how stigma changes a bank's decision to seek assistance from the rescue program, and (ii) it analyzes how stigma affects a bank's ability to operate as a financial intermediary using a joint model for bank‐level application, approval, and lending decisions. The empirical results indicate that stigma hinders the objectives of the rescue program and slows the production of credit.     

The bank capital channel and bank profits

This paper develops a microeconomic model of banking to highlight an endogenous loan creation process that emerges from bank profits via the capital accumulation of retained earnings and uses a simple bank capital‐loan multiplier to illustrate constraints on lending. The study also analyzes how sufficient net interest margins are important for banks to maintain lending portfolios and avoid financial fragility. The model offers support to bank capital channel (BKC) economists by illustrating how changes in interest rates may influence bank lending through the bank's internal capital accumulation growth rate and on a bank's portfolio choices.     

Are regulatory capital adequacy ratios good indicators of bank failure? Evidence from US banks

Motivated by massive bank failures during the financial crisis, this paper examines whether capital adequacy ratios required by regulators are associated with bank failure. It investigates whether the association is affected by the bank's proximity to the minimum required capital ratios. If results show a significant association between regulatory capital and failure of banks falling below the minimum capital ratios, then the ratios are set at an adequate level. Examining a sample of 560 US bank holding companies for the period 2003–2009, results reveal that the association between the core (Tier 1) capital ratio and bank failure becomes significant only if the bank holding company has a Tier 1 capital ratio of less than 6%. This is the level below which US bank regulators do not regard banks as being well capitalized. During the financial crisis period of 2007–2009, there is a significant association only when the criterion is set at or above 8%. Market-based probability of default is more significantly associated with failure relative to Tier 1 capital ratio. The findings of this paper are relevant to regulatory policy discussions and Basel III deliberations on capital adequacy at times of financial turmoil.     

Minimum capital requirements,bank supervision and special resolution schemes. Consequences for bank risk-taking

This paper analyzes the incentive effects of special bank resolution schemes which were introduced during the recent financial crisis. These schemes allow regulators to take control over a systemically important financial institution before bankruptcy. We ask how special resolution schemes influence banks’ risk-taking and whether regulators should combine them with minimum capital requirements. We model a single bank which is supervised by a regulator who receives an imperfect signal about the bank's probability of success. We find that capital requirements are better than resolution from a welfare point of view if the quality of the signal is low, if it is difficult for the bank to attract deposits, or if the project return is low.     

Impaired bank health and default risk

Empirical studies in corporate finance have long been focused on the role of banks in reducing the costs of financial distress. The environment and events in Japan provide a “natural experiment” that allows such empirical studies. The number of bankruptcies steadily increased throughout the 1990s, and peaked in 2000. During this period, Japan's banking sector, in contrast, faced considerable problems regarding the disposal of their bad loans. The purpose of this paper is to investigate how various measures of bank health and how defaults of major trading partners affected the probability of bankruptcy among medium-size firms in Japan. Using probit models, we examine the causes of bankruptcy for unlisted Japanese companies in the late 1990s and early 2000s. We find that several measures of bank-specific financial health have had significant impacts on a borrower's probability of bankruptcy, even when observable characteristics relating to these borrower's financial variables are controlled. In particular, a close bank–firm relationship—which usually reduces the probability of bankruptcy—exacerbates the impacts of a financial crisis, which substantially damages other bank health measures as well.     

Determinants of the capital adequacy ratio of foreign banks’ subsidiaries: The role of interbank market and regulation

This paper examines the factors influencing the capital adequacy ratio (CAR) of foreign banks. We test whether the CAR of subsidiaries and branches in developed and developing countries depends on the same factors. We use data from 310 subsidiaries and 265 branches to test the impact of the parent banks’ fundamentals on subsidiaries’ and branches’ capital ratios. We also study how the economic condition and regulatory environment in a bank's home country determine foreign banks’ CAR. Our results provide strong evidence that the CAR of subsidiaries and branches operating in developing and developed countries do not depend on the same set of explanatory factors. We also find that the regulatory framework of a parent bank's home country affects the capitalization of its foreign subsidiaries in the host countries. Finally, we show that specific variables of the parent bank have a stronger effect for foreign banks highly related to the interbank market.     

Measuring Integrated Market and Credit Risk in Bank Portfolios: An Application to a Set of Hypothetical Banks Operating in South Africa

The banking crises of the ‘90s emphasize the need to model the connections between financial environment volatility and the potential losses faced by financial institutions resulting from correlated market and credit risks. Due to the number of variables that must be modeled and the complexity of the relationships an analytical solution is not feasible. We present here a numerical solution based on a simulation model that explicitly links changes in the relevant variables that characterize the financial environment and the distribution of possible future bank capital ratios. This forward looking quantitative risk assessment methodology allows banks and regulators to identify potential risks before they materialize and make appropriate adjustments to bank portfolio credit qualities, sector and region concentrations, and capital ratios on a bank by bank basis. It also has the potential to be extended so as to assess the risks of correlated failures among a group of financial institutions (i.e., systemic risk analyses). This model was applied by the authors to the study of the risk profile of the largest South African Banks in the context of the Financial System Stability Assessment program undertaken by the IMF in 1999. In the current study, we apply the model to various hypothetical banks operating in the South African financial environment and assess the correlated market and credit risks associated with business lending, mortgage lending, asset and liability maturity matches, foreign lending and borrowing, and direct equity, real estate, and gold investments. It is shown to produce simulated financial environments (interest rates, exchange rates, equity indices, real estate price indices, commodity prices, and economic indicators) that match closely the assumed parameters, and generate reasonable credit transition probabilities and security prices. As expected, the credit quality and diversification characteristics of the loan portfolio, asset and liability maturity mismatches, and financial environment volatility, are shown to interact to determine bank risk levels. We find that the credit quality of a bank's loan portfolio is the most important risk factor. We also show the risk reduction benefits of diversifying the loan portfolio across various sectors and regions of the economy and the importance of accounting for volatility shocks that occur periodically in emerging economies. Banks with high credit risk and concentrated portfolios are shown to have a high risk of failure during periods of financial stress. Alternatively, banks with lower credit risk and broadly diversified loan portfolios across business and mortgage lending are unlikely to fail even during very volatile periods. Asset and liability maturity mismatches generally increase bank risk levels. However, because credit losses are positively correlated with interest rate increases, banks with high credit risk may reduce overall risk levels by holding liabilities with longer maturities than their assets. Risk assessment methodologies which measure market and credit risk separately do not capture these various interactions and thus misestimate overall risk levels.     

Financial Innovation,Basel Accord III,and Bank Value

I examine how financial innovation and Basel III capital requirements in Taiwan respond differently to banking crises and market competition. My panel data set comprises data from thirty-four banks for 2000-2012. I find a significant negative relationship between derivatives and the value of a bank and significant positive relationships among the capital adequacy ratio, bank-specific variables, and the value of a bank. Larger bank size and operational diversification tend to be positively associated with a bank's value, the holding of a relatively high amount of capital requirements, and nonperforming loans that are large. The latter result may simply reflect the scale of economy and improvement of efficiency in terms of financial innovation in the banking sector.     

International financial stress spillovers to bank lending: Do internal characteristics matter?

The purpose of this paper is to unveil and assess the potential US financial spillover on Gulf Cooperative Council (GCC) bank lending and to check whether bank's internal characteristics shape such an effect or not. For this purpose, a dynamic panel model is estimated using the GMM system using data on an unbalanced panel of GCC banks over the period 2003–2018. We have found evidence of financial stress spillovers on bank lending and that their distributional impacts vary across time, banks size and capitalization. However, the role of banks liquidity in shaping the impacts of financial stress on lending is found to depend on dry-ups/abundance of market funding liquidity. The results are robust to both splitting the sample into pre- and post- crisis periods as well as to the inclusion of additional potential lending supply determinants.     

Bank Competition: Measurement,Decision‐Making,and Risk‐Taking

This paper investigates whether greater competition increases or decreases individual bank and banking system risk. Using a new text‐based measure of competition, and an instrumental variables analysis that exploits exogenous variation in bank deregulation, we provide robust evidence that greater competition increases both individual bank risk and a bank's contribution to system‐wide risk. Specifically, we find that higher competition is associated with lower underwriting standards, less timely loan loss recognition, and a shift toward noninterest revenue. Further, we find that higher competition is associated with higher stand‐alone risk of individual banks, greater sensitivity of a bank's downside equity risk to system‐wide distress, and a greater contribution by individual banks to downside risk of the banking sector.     

An Incentive Approach to Banking Regulation

We examine the optimal design of a risk-adjusted deposit insurance scheme when the regulator has less information than the bank about the inherent risk of the bank's assets (adverse selection), and when the regulator is unable to monitor the extent to which bank resources are being directed away from normal operations toward activities that lower asset quality (moral hazard). Under a socially optimal insurance scheme: (1) asset quality is below the first-best level, (2) higher-quality banks have larger asset bases and face lower capital adequacy requirements than lower-quality banks, and (3) the probability of failure is equated across banks.     

Analyzing the effect of derivatives on the financial soundness of commercial banks in Italy: An approach based on the CAMELS framework

Italian economy is among the biggest economies in the Europe which suffered from the repercussions of the global financial crisis during this last decade. The weakness of Italian banking system coincides with the common debate about the implication of derivatives in the distress of banks’ soundness. Thus, the aim of our research is to examine the effect of derivative instruments on the banks’ soundness in Italy. To reach our goal, the CAMELS approach is employed to define the soundness of Italian commercial banks. To overcome the endogeneity issue of variables, an appropriate econometric procedure, namely the dynamic Generalized Method of Moments (GMM system) is applied using data from 22 commercial banks in Italy over the period 2005–2015. Explanatory variables are defined by derivative instruments (forwards, swaps, options, and futures), bank‐specific variable (bank's size as non‐CAMELS variable), industry‐specific variables (CR3, CR5, and HHI as indicators of bank's sector and market concentrations), and country‐specific variables (GDP and inflation). The main results reveal that the majority of the CAMELS indicators are favorably affected by derivative instruments especially forwards and options. The most important conclusion is that using derivative instruments does not threaten the financial soundness of commercial banks in Italy. As major implication decision‐makers and experts—after the global financial crisis—should not consider derivatives in part as responsible of the fragility of the Italian banking system.     

The interbank network across the global financial crisis: Evidence from Italy

This study examines the effects of the global financial crisis (GFC) on interbank market connectivity using network analysis. More specifically, using data on Italian banks’ bilateral interbank positions between 1998 and 2013, we analyze the impact of the following events on each bank's network centrality: the liquidity crisis in August 2007, the collapse of Lehman Brothers in September 2008, Eurosystem's long term refinancing operations (LTROs) between 2009 and 2012, the sovereign debt crisis in July 2011, and the announcement of Outright Monetary Transactions (OMT) in 2012. The results show that the 2007 liquidity crisis and especially the collapse of Lehman Brothers are associated with a marked reduction of the relative interconnectedness of the Italian banking sector (i.e., a shift in the distribution of banks’ centrality to the left, away from the most connected bank). In the following years, the system progressively recovered its initial patterns of integration among banks, which coincided with the main Eurosystem's monetary policy interventions. However, the average outcome conceals different results across banks, depending on their characteristics and initial positions within the system.     

Central Bank Digital Currency,Credit Supply,and Financial Stability

We examine the implications of central bank digital currency (CBDC) for credit supply and financial stability using a monetary general equilibrium model. The introduction of deposits in CBDC account decreases credit supply by banks, raising the nominal interest rate and lowering a bank's reserve-deposit ratio. This increases the likelihood of bank panic in which banks exhaust cash reserves. However, once the central bank can lend all the deposits in CBDC account to banks, an increase in the quantity of CBDC which does not require reserve holdings can enhance financial stability by increasing credit supply and lowering nominal interest rate.     

A novel fuzzy neural approach to data reconstruction and failure prediction

Bank failure prediction is of great importance to a bank's clients, policy-makers and regulators. Various traditional models have been employed to study bank failures. Unfortunately, their performances are unsatisfactory. In this paper, the pseudo-outer product fuzzy neural network using the compositional rule of inference and singleton fuzzifier (POPFNN-CRI(S))-based bank failure prediction model is proposed. It employs computational bank failure analysis techniques coupled with reconstruction of missing financial data in financial covariates that are available from publicly available financial statements as inputs. The performance of the proposed model is assessed through the classification rate of 3636 US banks observed over a 21-year period. The effects of missing data reconstruction are investigated. Copyright © 2009 John Wiley & Sons, Ltd.     

Have SFAS 166 and SFAS 167 improved the financial reporting for securitizations?

Critics have alleged that securitization accounting prior to 2010 was among the causes of the recent financial crisis. In response to this criticism, the Financial Accounting Standards Board (FASB) implemented two new accounting standards, SFAS 166 and SFAS 167, to improve the financial reporting for securitizations. Bank regulators have stated their belief that SFAS 166/167 will result in a consolidated balance sheet (and risk-based capital ratios based thereupon) that better reflects a bank's exposure to risk related to securitized assets. We document that, by ceding retained power or influence through the servicing/special servicing functions to third parties, SFAS 166/167 resulted in real effects to the extent that banks (particularly those that were weakly capitalized) achieved their accounting objectives in the post-SFAS 166/167 period through legitimate transaction structuring in line with the intent of the new rules. Further, we use capital market participants’ assessments of risk retention by sponsoring banks as a benchmark, and provide evidence consistent with bank regulators’ beliefs. In particular, following SFAS 166/167, equity investors of sponsoring banks do not consider (consider) as risk relevant securitized assets that receive off-balance sheet (on-balance sheet) treatment. Securitized assets that are consolidated under SFAS 166/167 exhibit the same risk relevance as assets that are not securitized, despite contractual provisions that would seem to imply substantial risk transfer.     

Earnings and capital management and signaling: the use of loan-loss provisions by European banks

This paper investigates the relationship between loan-loss provisions (LLPs) and earnings management in the context of the capital adequacy of Euro Area (EA) banks versus non-EA credit institutions. This paper also examines whether LLPs signal managements’ expectations concerning future bank profits to investors. Additionally, this paper traces the role of bank regulations and creditor protection systems in explaining income smoothing. Evidence drawn from the 1996 to 2006 period indicates that LLPs do reflect changes in the expected quality of a bank's loan portfolio for both groups of banks, and that earnings management is an important determinant of LLPs for EA intermediaries, whereas non-EA credit institutions use LLPs to signal private information to outsiders. The paper also finds that higher protection of creditors’ rights significantly reduces the incentives to smooth earnings for EA banks. During the recent financial crisis, EA bank managers are much more concerned with their credit portfolio quality and do not use LLPs for discretionary purposes, whereas LLPs at non-EA banks are used to smooth income more than for the purposes of managing capital ratios or conveying private information about future performance to the market.     

A STOCHASTIC SETTING TO BANK FINANCIAL PERFORMANCE FOR REFINING EFFICIENCY ESTIMATES

This study contributes to develop a framework to measure the financial performance of banks in a stochastic setting. The framework comprises several steps, the first of which is the development of a financial performance measurement model to evaluate a bank's financial performance using a set of factors from the CAMEL (Capital adequacy, Assets, Management Capability, Earning and Liquidity) system. Second, the stochastic setting of the efficiency measurement is handled using the data collection budget allocation approach, whereby Monte Carlo simulations are used to analyse additional generated data and a genetic algorithm is used to refine the accuracy of the efficiency estimates. The results show that the accuracy of the model is greatly improved using the proposed approach. In contrast to the conventional deterministic model, the proposed framework is more useful to managers in determining the bank's future financial operations to improve the overall financial soundness of the bank. Copyright © 2014 John Wiley & Sons, Ltd.     

Bank governance,regulation and risk taking

This paper conducts the first empirical assessment of theories concerning risk taking by banks, their ownership structures, and national bank regulations. We focus on conflicts between bank managers and owners over risk, and we show that bank risk taking varies positively with the comparative power of shareholders within the corporate governance structure of each bank. Moreover, we show that the relation between bank risk and capital regulations, deposit insurance policies, and restrictions on bank activities depends critically on each bank's ownership structure, such that the actual sign of the marginal effect of regulation on risk varies with ownership concentration. These findings show that the same regulation has different effects on bank risk taking depending on the bank's corporate governance structure.     

互联网金融对中国商业银行系统性风险的影响——基于SVAR模型的实证研究

首先运用主成分分析法测算我国商业银行的系统性风险,接着运用突变分析和 SVAR 模型等计量方法实证互联网金融对我国商业银行系统性风险的影响。结果表明：互联网金融发展影响商业银行系统性风险的路径为：“互联网金融—商业银行的资产负债结构—商业银行的成本收入比—商业银行的系统性风险”,且它对银行系统性风险的影响存在“期限结构效应”,即互联网金融在短期内会增加我国银行系统性风险,但从中长期来看,对我国银行系统性风险的影响并不大,两者可作为互利共生的事物共同发展。互联网金融的存在对我国金融改革有很好的倒逼作用,能在一定程度上促进金融监管的创新。