Companies have overlapping exposures to many different features that might plausibly affect their returns, like whether they're involved in a crowded trade, whether they're mentioned in an M&A rumor, or whether their supplier recently missed an earnings forecast. Yet, at any point in time, only...

We consider the optimal portfolio problem of a power investor who wishes to allocate her wealth between several credit default swaps (CDSs) and a money market account. We model contagion risk among the reference entities in the portfolio using a reduced form Markovian model with interacting...

We study saddlepoint approximations to the tail-distribution for different credit portfolio losses in continuous time intensity based models which stochastic recoveries, under conditional independent homogeneous settings. In such models, conditional on the filtration generated by the individual...

We consider the problem of quantifying credit and funding risks in the presence of initial margin calculated by dynamically updated risk measures, such as Value-at-Risk and Expected Shortfall. The analytic scaling approach proposed in Andersen et al. [2] is generalized from a system driven by...

The financial crisis has raised concerns throughout the industry on the possibility that hedging credit valuation adjustment (CVA) might become increasingly difficult should the long-standing correlation between singlename and index CDS products break down. So, we provide an estimation of the...

The calculation of the capital charge for CVA risk, as required by the Basel Committee on Banking Supervision, is usually rather unstable due to the volatility of CDS spreads. Since credit derivatives on single names are not very liquid, the implied adjustments in capital charges could be...

In this paper we study the stochastic area swept by a regular time-homogeneous diffusion till a stopping time. This unifies some recent literature in this area. Through stochastic time change we establish a link between the stochastic area and the stopping time of another associated...

The two main issues for managing wrong way risk (WWR) for the credit valuation adjustment (CVA, i.e. WW-CVA) are calibration and hedging. Hence we start from a novel model-free worst-case approach based on static hedging of counterparty exposure with liquid options. We say "start from" because...

Artificial Neural Networks (ANNs) have recently been proposed as accurate and fast approximators in various derivatives pricing applications. ANNs typically excel in fitting functions they approximate at the input parameters they are trained on, and often are quite good in interpolating between...

We develop two neo-classical methods for function approximations, the generalized stochastic sampling (gSS) and the functional tensor train (fTT) methods, that are high-performing alternatives to generic deep neural networks (DNNs) currently routinely proposed for function approximations in...