Monte Carlo Frameworks

With many books on C++ and Monte Carlo methods at hand, Daniel and Jörg have taken a serious approach to combine these topics in one volume. It is this combination that makes the book worth reading for a junior quant as an introduction and for a senior quant as a reference guide of some of the recent developments in financial engineering. The authors cover the basic models used mainly in equity derivatives up to stochastic volatility, jump diffusions and Lévy processes. The Monte Carlo method contains computation of Greeks, many variance reduction methods and handling early exercise features. This way the reader can learn the theory and the implementation in C++ (the industry standard in financial engineering) including using the boost library, standard template library (STL) up to building own libraries (DLLs and XLLs). Many case studies with lists of results and numerous exercises make it easy to learn and verify the valuation of financial instruments. You can start your career to become a good quant by reading this book. Uwe Wystup, Managing Director of MathFinance AG. The reader is presented with a clear and readable self contained guide for the Monte Carlo framework in C++. It discusses the complete software lifecycle of the Monte Carlo simulation process for computational finance and will therefore be directly useful for the quant and academic community. For sure a hands on standard reference. Wim Schoutens, Research Professor Financial Engineering, Catholic University of Leuven.