Credit risk

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

The Basic Analytics of Access to Financial Services

Abstract: Access to financial services, or rather the lack thereof, is often indiscriminately decried as problem in many developing countries. This paper argues that the “problem of access” should rather be analyzed by identifying different demand and supply constraints. We use the concept of an access possibilities frontier, drawn for a given set of state variables, to distinguish between cases where a financial system settles below the constrained optimum, cases where this constrained optimum is too low, and—in credit services—cases where the observed outcome is excessively high. We distinguish between payment and savings services and fixed intermediation costs, on the one hand, and lending services and different sources of credit risk, on the other hand. We include both supply and demand side frictions that can lead to lower access. The analysis helps identify bankable and banked population, the binding constraint to close the gap between the two, and policies to prudently expand the bankable population. This new conceptual framework can inform the debate on adequate policies to expand access to financial services and can serve as basis for an informed measurement of access.

Credit risk optimization with Conditional Value-at-Risk criterion

Abstract: This paper examines a new approach for credit risk optimization. The model is based on the Conditional Value-at-Risk (CVaR) risk measure, the expected loss exceeding Value-at-Risk. CVaR is also known as Mean Excess, Mean Shortfall, or Tail VaR. This model can simultaneously adjust all positions in a portfolio of financial instruments in order to minimize CVaR subject to trading and return constraints. The credit risk distribution is generated by Monte Carlo simulations and the optimization problem is solved effectively by linear programming. The algorithm is very efficient; it can handle hundreds of instruments and thousands of scenarios in reasonable computer time. The approach is demonstrated with a portfolio of emerging market bonds.

Liquidity and Credit Risk

Abstract: We develop a structural bond valuation model to simultaneously capture liquidity and credit risk. Our model implies that renegotiation in financial distress is influenced by the illiquidity of the market for distressed debt. As default becomes more likely, the components of bond yield spreads attributable to illiquidity increase. When we consider finite maturity debt, we find decreasing and convex term structures of liquidity spreads. Using bond price data spanning 15 years, we find evidence of a positive correlation between the illiquidity and default components of yield spreads as well as support for downward-sloping term structures of liquidity spreads.

Derivative Pricing with Liquidity Risk: Theory and Evidence from the Credit Default Swap Market

Abstract: We derive an equilibrium asset pricing model incorporating liquidity risk, derivative assets, and short-selling due to hedging of non-traded risk. We show that, both for positive-net-supply assets and derivatives, the sign of liquidity effects depends on investor heterogeneity in non-traded risk exposure, risk aversion, horizon and wealth. We also show that liquidity risk affects derivatives in a different way than positive-net-supply assets. We estimate this model for the credit default swap market using GMM. We find strong evidence for an expected liquidity premium earned by the credit protection seller. The effect of liquidity risk is significant but economically small.