During the Global Financial Crisis, regulators imposed short-selling bans to protect financial institutions. The rationale behind the bans was that "bear raids", driven by short-sellers, would increase the individual and systemic risk of financial institutions, especially for institutions with...

We use a classic Merton credit risk framework to argue that Islamic Banking Institutions (IBIs) face less incentive to take on risks than Conventional Banking Institutions (CBI). IBIs have less incentive for risk shifting both in and outside of distress situations. We test and confirm this...

This paper analyzes the influence of market discipline on the risk-taking incentives of banks. It is shown that market discipline reduces risk if banks can credibly commit to a given level of risk before the interest rate on deposits is set. If, however, the bank can readjust the level of risk...

We examine the quantification of operational risk for banks. We adopt a financial-economics approach and interpret operational risk management as a means of optimizing the profitability of an institution along its value chain. We start by defining operational risk and then propose a...

In this paper, we characterize explicitly the first derivative of the Value at Risk and the Expected Shortfall with respect to portfolio allocation when netting between positions exists. As a particular case, we examine a simple Gaussian example in order to illustrate the impact of netting...

Like many financial contracts, derivatives are subject to default risk. A very popular mechanism in derivatives markets to mitigate the risk of non-performance on contracts is margining. By attaching collateral to a contract, margining supposedly reduces default risk. The broader impacts of the...

Economic cycles are the key credit portfolio risk driver and they are autocorrelated over time. We then show that it is economically meaningful to define risk for credit portfolios in a multi period setup. Since one period expected shortfall fails to measure risk adequately in a multi period...

We introduce an adaptive importance sampling method for the loss distribution of credit portfolios based on the Robbins-Monro stochastic approximation procedure. After presenting the subtle construction of the algorithm, we apply our adaptive scheme for calculating the risk figures of a typical...

In this paper, we study the economic benets from using credit scoring models. We contribute to the literature by relating the discriminatory power of a credit scoring model to the optimal credit decision. Given the Receiver Operating Characteristic (ROC) curve of the credit scoring model, we...