Stochastic Volatility Modeling

<p>Packed with insights Lorenzo Bergomi’s <strong>Stochastic Volatility Modeling</strong> explains how stochastic volatility is used to address issues arising in the modeling of derivatives including:</p><ul> <p> </p> <li><em>Which trading issues do we tackle with stochastic volatility? </em></li> <li><em>How do we design models and assess their relevance? </em></li> <em> <li>How do we tell which models are usable and when does calibration make sense?</li></em> </ul><p>This manual covers the practicalities of modeling local volatility stochastic volatility local-stochastic volatility and multi-asset stochastic volatility. In the course of this exploration the author <i>Risk</i>’s 2009 Quant of the Year and a leading contributor to volatility modeling draws on his experience as head quant in Société Générale’s equity derivatives division. Clear and straightforward the book takes readers through various modeling challenges all originating in actual trading/hedging issues with a focus on the practical consequences of modeling choices.</p>