We present a multivariate version of a structural default model with jumps and use it in order to quantify the bilateral credit value adjustment and the bilateral debt value adjustment for equity contracts, such as forwards, in a Merton-type default setting. In particular, we explore the impact...

Adjusting the correlation matrix plays an important role in risk management as well as option pricing. We usually adjust the correlation matrix by directly changing the correlation coefficient in the correlation matrix. However, there is a chance that the adjusted correlation matrix is not...

In recent years, stress testing has become a regulatory requirement for risk assessment in financial institutions. To perform stress testing in multi-asset case, adjusting the correlation matrix to an extreme level is an important process. With a larger matrix, it is more difficult to choose the...

Model and parameter uncertainties are ubiquitous whenever a parametric model is selected to value a derivative instrument. Combining the Monte Carlo method and the Smolyak interpolation algorithm, this paper proposes an accurate and efficient numerical method to quantify the uncertainty embedded...

As the third component of the Standardized Approach of the Fundamental Review of the Trading Book [1], the Residual Risk Add-On tries to capture the risks not covered by the other two components (Sensitivity Based Method and Default Risk Charge) and plays the role of Risk Not in VaR program or...

Current corporate risk management theories predict that young firms should hedge more than the established ones. However, the claim is not supported by empirical observations, which also present mixed evidence on whether hedging creates value. This paper attempts to address this puzzle by...