As financial modelling becomes more complicated and deeply dependent upon mathematics, computational finance has become an increasingly popular discipline. This book covers both theoretical and practical aspects, presenting a quantitative approach to risk management. It encompasses the algorithmic and numerical procedures that form the backbone of modern mathematical finance and the creation of financial products.

This book presents a cogent description of the main methodologies used in derivatives pricing. Starting with a summary of the elements of Stochastic Calculus, Quantitative Methods in Derivatives Pricing develops the fundamental tools of financial engineering, such as scenario generation, simulation for European instruments, simulation for American instruments, and finite differences in an intuitive and practical manner, with an abundance of practical examples and case studies. Intended primarily as an introductory graduate textbook in computational finance, this book will also serve as a...

Providing a dual treatment of market research and data mining, this title uses a how-to approach for professionals with illustrative case studies in addition to theory. It includes practical tips on how to create executive reports, dashboards, and a market intelligence infrastructure.