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Credit risk

About: Credit risk is a research topic. Over the lifetime, 18595 publications have been published within this topic receiving 382866 citations.


Papers
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Posted ContentDOI
TL;DR: In this paper, a model is developed to provide the first theoretical justification for true credit rationing in a loan market, where the amount of the loan and amount of collateral demanded affect the behavior and distribution of borrowers, and interest rates serve as screening devices for evaluating risk.
Abstract: According to basic economics, if demand exceeds supply, prices will rise, thus decreasing demand or increasing supply until demand and supply are in equilibrium; thus if prices do their job, rationing will not exist. However, credit rationing does exist. This paper demonstrates that even in equilibrium, credit rationing will exist in a loan market. Credit rationing is defined as occurring either (a) among loan applicants who appear identical, and some do and do not receive loans, even though the rejected applicants would pay higher interest rates; or (b) there are groups who, with a given credit supply, cannot obtain loans at any rate, even though with larger credit supply they would. A model is developed to provide the first theoretical justification for true credit rationing. The amount of the loan and the amount of collateral demanded affect the behavior and distribution of borrowers. Consequently, faced with increased credit demand, it may not be profitable to raise interest rates or collateral; instead banks deny loans to borrowers who are observationally indistinguishable from those receiving loans. It is not argued that credit rationing always occurs, but that it occurs under plausible assumptions about lender and borrower behavior. In the model, interest rates serve as screening devices for evaluating risk. Interest rates change the behavior (serve as incentive mechanism) for the borrower, increasing the relative attractiveness of riskier projects; banks ration credit, rather than increase rates when there is excess demand. Banks are shown not to increase collateral as a means of allocating credit; although collateral may have incentivizing effects, it may have adverse selection effects. Equity, nonlinear payment schedules, and contingency contracts may be introduced and yet there still may be rationing. The law of supply and demand is thus a result generated by specific assumptions and is model specific; credit rationing does exist. (TNM)

13,126 citations

Posted Content
TL;DR: In this article, the authors provide a model that links an asset's market liquidity and traders' funding liquidity, i.e., the ease with which they can obtain funding, to explain the empirically documented features that market liquidity can suddenly dry up, has commonality across securities, is related to volatility, is subject to flight to quality, and comoves with the market.
Abstract: We provide a model that links an asset's market liquidity - i.e., the ease with which it is traded - and traders' funding liquidity - i.e., the ease with which they can obtain funding. Traders provide market liquidity, and their ability to do so depends on their availability of funding. Conversely, traders' funding, i.e., their capital and the margins they are charged, depend on the assets' market liquidity. We show that, under certain conditions, margins are destabilizing and market liquidity and funding liquidity are mutually reinforcing, leading to liquidity spirals. The model explains the empirically documented features that market liquidity (i) can suddenly dry up, (ii) has commonality across securities, (iii) is related to volatility, (iv) is subject to “flight to quality¶, and (v) comoves with the market, and it provides new testable predictions. Keywords: Liquidity Risk Management, Liquidity, Liquidation, Systemic Risk, Leverage, Margins, Haircuts, Value-at-Risk, Counterparty Credit Risk

3,638 citations

Journal ArticleDOI
TL;DR: The authors showed that the extent of competition in credit markets is important in determining the value of lending relationships and that creditors are more likely to finance credit constrained firms when credit markets are concentrated because it is easier for these creditors to internalize the benefits of assisting the firms.
Abstract: This paper provides a simple model showing that the extent of competition in credit markets is important in determining the value of lending relationships. Creditors are more likely to finance credit constrained firms when credit markets are concentrated because it is easier for these creditors to internalize the benefits of assisting the firms. The model has implications about the availability and the price of credit as firms age in different markets. The paper offers evidence for these implications from small business data. It concludes with conjectures on the costs and benefits of liberalizing financial markets, as well as the timing of such reforms.

3,259 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide a model that links a security's market liquidity and traders' funding liquidity, i.e., their availability of funds, to explain the empirically documented features that market liquidity can suddenly dry up (i) is fragile), (ii) has commonality across securities, (iii) is related to volatility, and (iv) experiences “flight to liquidity” events.
Abstract: We provide a model that links a security’s market liquidity — i.e., the ease of trading it — and traders’ funding liquidity — i.e., their availability of funds. Traders provide market liquidity and their ability to do so depends on their funding, that is, their capital and the margins charged by their financiers. In times of crisis, reductions in market liquidity and funding liquidity are mutually reinforcing, leading to a liquidity spiral. The model explains the empirically documented features that market liquidity (i) can suddenly dry up (i.e. is fragile), (ii) has commonality across securities, (iii) is related to volatility, (iv) experiences “flight to liquidity” events, and (v) comoves with the market. Finally, the model shows how the Fed can improve current market liquidity by committing to improve funding in a potential future crisis.

3,166 citations

Book
16 Oct 2005
TL;DR: The most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management can be found in this paper, where the authors describe the latest advances in the field, including market, credit and operational risk modelling.
Abstract: This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management. Whether you are a financial risk analyst, actuary, regulator or student of quantitative finance, Quantitative Risk Management gives you the practical tools you need to solve real-world problems. Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles. The book's methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. Proven in the classroom, the book also covers advanced topics like credit derivatives. Fully revised and expanded to reflect developments in the field since the financial crisis Features shorter chapters to facilitate teaching and learning Provides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty credit risk and CDO pricing Includes a new chapter on market risk and new material on risk measures and risk aggregation

2,580 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20251
2023343
2022729
2021799
2020915
2019921