Distributionally Robust XVA via Wasserstein Distance Part 2: Wrong Way Funding Risk
Mathematical Finance
2019-10-10 v1
Abstract
This paper investigates calculations of robust funding valuation adjustment (FVA) for over the counter (OTC) derivatives under distributional uncertainty using Wasserstein distance as the ambiguity measure. Wrong way funding risk can be characterized via the robust FVA formulation. The simpler dual formulation of the robust FVA optimization is derived. Next, some computational experiments are conducted to measure the additional FVA charge due to distributional uncertainty under a variety of portfolio and market configurations. Finally some suggestions for future work, such as robust capital valuation adjustment (KVA) and margin valuation adjustment (MVA), are discussed.
Keywords
Cite
@article{arxiv.1910.03993,
title = {Distributionally Robust XVA via Wasserstein Distance Part 2: Wrong Way Funding Risk},
author = {Derek Singh and Shuzhong Zhang},
journal= {arXiv preprint arXiv:1910.03993},
year = {2019}
}