1st Edition
XVA Analysis Probabilistic, Risk Measure, and Machine Learning Issues
Foreword List of Figures List of Tables List of Algorithms Preface Part INTRODUCTION Chapter 0 The Sustainable Black-Scholes Equations Part PRICING Chapter I XVA Analysis From the Balance Sheet Chapter II The Cost-of-Capital XVA Approach in Continuous Time Chapter III Cash Flows Arithmetics Part NUMERICAL METHODS Chapter IV Generalities Chapter V Pathwise CVA Regressions With Oversimulated Defaults Chapter VI CVA Sensitivities, Hedging and Risk Chapter VII Regressing Pathwise FVA, Economic Capital and KVA Part RISK Chapter VIII Derivatives’ Risks as Costs in a One-Period Setup Chapter IX Resolving a Clearing Member’s Default by Equilibrium Chapter X Quantitative Reverse Stress Testing, Bottom Up Part HVA IS WORTH A DETOUR Chapter XI Hedging Valuation Adjustment and Model Risk Bibliography Index Acknowledgments Author Bio
Biography
Stéphane Crépey is a professor at the mathematics department of Université Paris Cité, in charge of the team mathematical finance and numerical probability at LPSM (Laboratoire de Probabilités, Statistique et Modélisation) and of the M2MO quantitative finance program.
