Ebook: Monte Carlo methods in financial engineering

Applied financial econometrics subjects are featured in this second volume, with papers that survey important research even as they make unique empirical contributions to the literature. These subjects are familiar: portfolio choice, trading volume, the risk-return tradeoff, option pricing, bond yields, and the management, supervision, and measurement of extreme and infrequent risks. Yet their treatments are exceptional, drawing on current data and evidence to reflect recent events and scholarship. A landmark in its coverage, this volume should propel financial econometric research for years.Presents a broad survey of current researchContributors are leading econometriciansOffers a clarity of method and explanation unavailable in other financial econometrics collections "This book develops the use of Monte Carlo methods in finance, and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering.The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios."."The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential." "The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry."--BOOK JACKET.  Read more... Foundations -- Generating random numbers and random variables -- Generating sample paths -- Variance reduction techniques -- Quasi-Monte Carlo -- Discretization methods -- Estimating sensitivities -- Pricing American options -- Applications in risk management