Successive retention of funds,loan profitability and marketing implications in banking

This paper analyzes potential effects of successive retention of funds, induced by portions of funds granted as loans being successively redeposited via a chain of market transactions in the same bank, on loan profitability. It identifies sets of market conditions and loan terms under which the magnitude of the fund retention phenomenon could be significant, derives formulae to measure its magnitude, and suggests loan marketing strategies potentially capable of exploiting successive retention of funds to improve loan profitability. The potential role of the loan-induced retention process as an additional explanatory factor in the relationship between market structure and market performance in banking is also discussed.     

Loan Portfolio Swaps and Optimal Lending

Theories on loan portfolio swap hedging are based on a portfolio-choice approach. This paper presents an alternative: a firm-theoretic model for bank behavior with loan portfolio swaps. Our paper derives the optimal loan rate and rate-taking loan amount of the banks portfolio, and relates them to the market loan rate, counterparty loan rate, swap default risk, capital-to-deposits ratio, and deposit insurance. We find that in the bilateral default risk approach, the comparative static results are generated by four factors: the banks risk magnitude about the equity market value, loan composition in the swap contract, the substitution effect in the loan portfolio, and the income effect from the swap transaction. The results imply that changes in the payoff asymmetry in the event of swap default and the banks regulatory parameters have a direct effect on the banks loan portfolio for lending and swap transactions.We would like to thank two anonymous referees for helpful comments and advice.     

Managing the risk of loan prepayments and the optimal structure of short term lending rates

Loan pricing is an extremely important aspect of bank operations because loans are typically over two-thirds of bank assets. Many researchers have analyzed the theoretical and empirical impact of how different factors should and do affect fixed rate loan rates and loan prepayments. However, a theoretical decision making model for maximizing expected profit in a declining rate environment has not been developed. After describing the conditions for the optimal loan rate, we develop numerical solutions for it under varying conditions. The varying conditions include the trend in interest rates, volatility of interest rates, and loan maturity. We thank Yen Low and Hamed Bagherpour for their assistance.     

Bank spread with uncertain deposit level and risk aversion

This paper derives a model of the banking firm under uncertainty and risk aversion. The selection of the bank's optimal spread between loan and deposit rates is emphasized. The model's results provide some implications for bank asset quality, capital regulation and deposit insurance. For example, it is shown that increases in the level of equity capital tend to increase the bank's spread under DARA. This implies an improvement in bank asset quality. On the other hand, as the deposit supply function becomes more volatile, the bank's spread narrows, which implies a decline in the quality of the bank's assets.     

Strategic Effects of Regulatory Capital Requirements in Imperfect Banking Competition

This paper analyzes the competitive effects of regulatory minimum capital requirements on an oligopolistic loan market. Before competing in loan rates banks choose their capital structure, thereby making an imperfect commitment to a loan capacity. It is shown that due to this imperfect commitment, regulatory requirements not only increase the marginal cost of loan supply, but can also have a collusive effect resulting in increased profits. This paper derives the threshold value from which capital requirements can turn one round Bertrand competition into a two‐stage interaction with capacity commitment, leading to Cournot outcomes. Therefore, it provides theoretical support for the applicability of the Cournot approach when modeling imperfect loan competition.     

Optimal Loan Interest Rate Contract Design

This paper analyzes optimal loan interest rate contracts under conditions of risky, symmetric information for one-period (static) and multi-period (dynamic) models. The optimal loan interest rate depends upon the volatility of, and co-variation among the market interest rate, borrower collateral, and borrower income, as well as the time horizon and the risk preferences of lenders and borrowers. For a risk-averse borrower with stochastic collateral, variable interest rate contracts are, in general, Pareto optimal. For plausible assumptions, the optimal loan interest rate for the multi-period model often exhibits muted responses to changes in market interest rates, making fixed rate loans a reasonable approximation for the optimal loan. Hence, in the absence of optimal contracts, long-term (short-term) borrowers tend to prefer fixed rate (variable) contracts.     

Optimal credit risk transfer, monitored finance, and banks

We examine the implications of optimal credit risk transfer (CRT) for bank-loan monitoring, and the incentives for banks to engage in optimal CRT. In our model, properly designed CRT instruments allow banks to insure themselves against loan losses precisely in those states that signal monitoring. We find that optimal CRT enhances loan monitoring and expands financial intermediation, in contrast to the findings of the previous literature. Optimal CRT instruments are based on loan portfolios rather than individual loans and have credit-enhancement guarantees, pretty much as banks do in practice. But the extent of credit enhancement needs to be precisely delimited. Above that exact level, monitoring incentives are undermined (loan quality deteriorates) and wealth is transferred from the bank's financiers to the bank. Properly designed risk-based capital requirements are shown to prevent such a wealth transfer and to provide banks with the incentive to engage in optimal CRT.     

Strategic loan modification: An options-based response to strategic default

This paper presents a parsimonious barrier model for the optimal principal reset in a loan modification, thereby maximizing the loan value to the lender bank and minimizing the likelihood of strategic foreclosure by the homeowner. Writing down the loan-to-value (LTV) ratio will reduce the present value of future payments on the loan, but will also reduce the probability of default, thereby saving foreclosure losses. The optimal trade-off of these two countervailing effects will pinpoint the optimal LTV at which the loan must be reset. We present a simple barrier option decomposition of the loan value that makes the optimization of LTV easy to implement. An extension of the model is shown to account for varying growth rate assumptions about house prices. The model in this paper specifically accounts for the homeowner’s willingness to pay, and uses the framework to model shared-appreciation mortgages (SAMs).     

流动性过剩、通货膨胀与货币政策

当前经济下滑的基本原因是人民币升值,而人民币升值的主要原因是对通货膨胀的预期和对流动性过剩的估计有偏差.当前宏观调控的主要任务是保持经济稳定增长.宏观调控政策应定位于平衡的财政政策和稳健的货币政策组合.财政应当量入为出,收支平衡,努力压减行政支出;货币应当稳定汇率,调整利息,以便引导和控制信贷规模,调整贷款结构.     

The determinants of bank loan recovery rates

Using Moody’s Ultimate Recovery Database, we estimate a model for bank loan recoveries using variables reflecting loan and borrower characteristics, industry and macroeconomic conditions, and several recovery process variables. We find that loan characteristics are more significant determinants of recovery rates than are borrower characteristics prior to default. Industry and macroeconomic conditions are relevant, as are prepackaged bankruptcy arrangements. We examine whether a commonly used proxy for recovery rates, the 30-day post-default trading price of the loan, represents an efficient estimate of actual recoveries and find that such a proxy is biased and inefficient.     

Liquidation under moral hazard: Optimal debt maturity and loan commitments

This paper examines the benefits and limitations of loan commitment financing. Commitments enable firms to adopt more efficient liquidation policies. We demonstrate, however, that the limitations of commitment financing depend on a number of firm characteristics. In some circumstances, firms find long-term debt to be a superior alternative to commitment financing. This provides a possible explanation for why loan commitments are not universally utilized. By considering both the benefits as well as the limitations of loan commitment financing, we are also able to integrate loan commitment contracts into a model of optimal debt maturity.     

Lending Policies of Financial Intermediaries Facing Credit and Funding Risk

This paper compares the optimal lending decisions of financial intermediaries that differ in their risk exposure. All intermediaries are assumed to face a loan demand described by a random applicant arrival process with each applicant offering a unique risk-adjusted rate of return; loan demand is therefore uncertain in both quantity and quality. The intermediaries differ in terms of their risk exposure because of disparate funding practices. Intermediaries functioning as brokers minimize their exposure by borrowing funds only as demand is realized, whereas those behaving as asset-transformers borrow in advance of realizing loan demand, thereby maintaining a loanable funds inventory and sustaining the related exposure. The optimal sequential lending policy is shown to involve setting a credit standard that becomes stricter with the length of the intermediary's planning horizon and the volume of loans outstanding. Most importantly, it is shown that brokers adopt stricter credit standards than asset-transformers and therby reduce their volume of lending.     

我国商业银行贷款定价的最优化模型设计

随着我国加入WTO,国内金融市场逐步与国际金融市场接轨,国家也逐渐放开对企业贷款利率上限的管制,商业银行可以根据信贷市场需求确定合理的贷款价格,使贷款利率能充分补偿银行所承担的信用风险以确保安全性和赢利性。本文首先阐述目前商业银行贷款定价方法中存在的问题,指出由于我国信贷市场中普遍存在信息不对称这一情况,已经严重影响了商业银行的经营和决策水平;再结合委托-代理框架,套用最优控制理论,给出一个信息不对称时的合理的贷款定价模型;最后针对如何有效提高我国商业银行运作和管理水平给出一些操作性建议。     

Macro Credit Policy and the Financial Accelerator

This paper studies macro credit policies within the financial accelerator model of Bernanke, Gertler, and Gilchrist (1999). The focus is on borrower‐based restrictions on lending such as loan‐to‐value (LTV) ratios. We find that the efficacy of cyclical taxes on LTV ratios depends upon the nature of the underlying loan contract. If the loan contract contains equity‐like features such as indexation to aggregate conditions, then there is little role for cyclical taxation. But if the loan contract is not indexed to aggregate conditions, then there are substantial gains to procyclical taxes on LTV ratios.     

Loan Sales and Relationship Banking

Firms raise money from banks and the bond market. Banks sell loans in a secondary market to recycle their funds or to trade on private information. Liquidity in the loan market depends on the relative likelihood of each motive for trade and affects firms' optimal financial structure. The endogenous degree of liquidity is not always socially optimal: There is excessive trade in highly rated names, and insufficient liquidity in riskier bonds. We provide testable implications for prices and quantities in primary and secondary loan markets, and bond markets. Further, we posit that risk-based capital requirements may be socially desirable.     

Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage,business and consumer loan portfolios

This paper uses dynamic panel data methods to examine the determinants of non-performing loans (NPLs) in the Greek banking sector, separately for each loan category (consumer loans, business loans and mortgages). The study is motivated by the hypothesis that both macroeconomic and bank-specific variables have an effect on loan quality and that these effects vary between different loan categories. The results show that, for all loan categories, NPLs in the Greek banking system can be explained mainly by macroeconomic variables (GDP, unemployment, interest rates, public debt) and management quality. Differences in the quantitative impact of macroeconomic factors among loan categories are evident, with non-performing mortgages being the least responsive to changes in the macroeconomic conditions.     

PRODUCTION LOANS

In this paper, agency problems between stockholders and debtholders are considered in a simple model of the firm's optimal production decision. It is shown that in the presence of debt financing other than a production loan, the firm is motivated to underproduce, an agency problem analogous to Myers' classic underinvestment problem. If a production loan is employed in lieu of these other forms of debt, the underproduction problem is rectified.     

“Time for a Change”: Loan Conditions and Bank Behavior when Firms Switch Banks

This paper studies loan conditions when firms switch banks. Recent theoretical work on bank–firm relationships motivates our matching models. The dynamic cycle of the loan rate that we uncover is as follows: a loan granted by a new (outside) bank carries a loan rate that is significantly lower than the rates on comparable new loans from the firm's current (inside) banks. The new bank initially decreases the loan rate further but eventually ratchets it up sharply. Other loan conditions follow a similar economically relevant pattern. This bank strategy is consistent with the existence of hold‐up costs in bank–firm relationships.     

Credit derivatives, capital requirements and opaque OTC markets

In this paper we study the optimal design of credit derivative contracts when banks have private information about their ability in the loan market and are subject to capital requirements. First, we prove that when banks are subject to a maximum loss capital requirement the optimal signaling contract is a binary credit default basket. Second, we show that if credit derivative markets are opaque then banks cannot commit to terminal-date risk exposure, and therefore the optimal signaling contract is more costly. The above results allow us to discuss the potential implications of different capital adequacy rules for the credit derivative markets.     

Managing Beliefs about Monetary Policy under Discretion

In models of monetary policy, discretionary policymaking is typically constrained in its ability to manage public beliefs. However, when a policymaker possesses private information, policy actions serve as signals to the public about unobserved economic conditions and belief management becomes an integral part of optimal discretion policies. This article derives the optimal time‐consistent policy for a general linear‐quadratic setting. The optimal policy is illustrated in a simple New Keynesian model, where analytical solutions can be derived as well. In this model, imperfect information about the policymaker's output target leads to lower policy losses.