Multi-Asset Risk Modeling: Techniques for a Global Economy in an Electronic and Algorithmic Trading Era

Multi-Asset Risk Modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management. Covers all asset classes Provides mathematical theoretical explanations of risk as well as practical examples with empirical dataIncludes sections on equity risk modeling, futures and derivatives, credit markets, foreign exchange, and commodities INDICE: Introduction to Multi-Asset Risk Modeling - Lessons from the Debt Crisis A Primer on Risk Mathematics A Primer on Quantitative Risk Analysis - by Johnathan MunPrice Volatility Factor Models Equity DerivativesForeign Exchange Market and Interest RatesAlgorithmic Trading Risk Risk Hedging Techniques Rating Credit Risk: Current Practices, Model Design and ApplicationsA Basic Credit Default Swap Model  Multi-Asset Corporate Restructurings and Valuations Extreme Value Theory and Application to Market Shocks for Stress Testing and Extreme Value at Risk Case Study: Ensuring Sustainability of an Institution as a Going Concern: An Approach to Dealing with Black Swan or Tail Risk - by Karamjeet Paul

• ISBN: 978-0-12-401690-3
• Editorial: Academic Press
• Encuadernacion: Cartoné
• Páginas: 523
• Fecha Publicación: 20/01/2014
• Nº Volúmenes: 1
• Idioma: Inglés