In the post-crisis financial landscape, generating a clean risk-neutral price is only half the battle. Today’s derivatives markets are deeply interconnected with counterparty credit risk, collateral mechanics, and funding constraints. Tailored specifically for derivatives quants, risk modellers, and financial engineers, this book provides a rigorous, unified framework for understanding and implementing the complete suite of Valuation Adjustments (XVA). It seamlessly bridges the gap between abstract stochastic calculus and the gritty reality of modern trading desks.

Readers will master the end-to-end quantitative pipeline required to compute and manage these intricate metrics. The text systematically unpacks everything from multi-curve OIS discounting and Monte Carlo exposure simulation to the core mathematical definitions of Credit, Funding, Margin, and Capital Valuation Adjustments (CVA, DVA, FVA, MVA, and KVA). By dissecting wrong-way risk, ISDA close-out conventions, and dynamic semi-replication, you will learn how to accurately translate raw market data and complex legal agreements into robust, enterprise-grade pricing engines.

Assuming a foundational knowledge of stochastic calculus and standard options pricing, this text goes beyond theoretical mathematics. It uniquely emphasizes the operational architecture, numerical stability, and performance optimization required to deploy production-level XVA infrastructure. Whether you are validating baseline CVA algorithms, designing funding transfer policies, or executing complex cross-gamma hedging strategies, this comprehe