Hui Wang is an associate professor in the Division of Applied Mathematics at Brown University. He earned a Ph.D. in statistics from Columbia University. His research and teaching cover Monte Carlo simulation, mathematical finance, probability and statistics, and stochastic optimization.

• Review of Probability. Brownian Motion. Arbitrage Free Pricing. Monte Carlo Simulation. Generating Random Variables. Variance Reduction Techniques. Importance Sampling. Stochastic Calculus. Simulation of Diffusions. Sensitivity Analysis. Appendices. Bibliography. Index.

"I liked this book because it gave me a good review of the mathematics of option pricing. The chapters are well written and were clear to me." -INFORMS Journal on Computing, 25(1), 2013 "... is suitable for the practitioner in search of a hands-on approach to the topic, as well as the student/researcher who wants to have a quick way to know what simulation techniques (in particular for pricing derivatives) are about." -Gunther Leobacher, Mathematical Reviews Clippings December 2013

Hui Wang is an associate professor in the Division of Applied Mathematics at Brown University. He earned a Ph.D. in statistics from Columbia University. His research and teaching cover Monte Carlo simulation, mathematical finance, probability and statistics, and stochastic optimization.

• Review of Probability. Brownian Motion. Arbitrage Free Pricing. Monte Carlo Simulation. Generating Random Variables. Variance Reduction Techniques. Importance Sampling. Stochastic Calculus. Simulation of Diffusions. Sensitivity Analysis. Appendices. Bibliography. Index.

"I liked this book because it gave me a good review of the mathematics of option pricing. The chapters are well written and were clear to me." -INFORMS Journal on Computing, 25(1), 2013 "... is suitable for the practitioner in search of a hands-on approach to the topic, as well as the student/researcher who wants to have a quick way to know what simulation techniques (in particular for pricing derivatives) are about." -Gunther Leobacher, Mathematical Reviews Clippings December 2013

Hui Wang is an associate professor in the Division of Applied Mathematics at Brown University. He earned a Ph.D. in statistics from Columbia University. His research and teaching cover Monte Carlo simulation, mathematical finance, probability and statistics, and stochastic optimization.

• Review of Probability. Brownian Motion. Arbitrage Free Pricing. Monte Carlo Simulation. Generating Random Variables. Variance Reduction Techniques. Importance Sampling. Stochastic Calculus. Simulation of Diffusions. Sensitivity Analysis. Appendices. Bibliography. Index.

"I liked this book because it gave me a good review of the mathematics of option pricing. The chapters are well written and were clear to me." -INFORMS Journal on Computing, 25(1), 2013 "... is suitable for the practitioner in search of a hands-on approach to the topic, as well as the student/researcher who wants to have a quick way to know what simulation techniques (in particular for pricing derivatives) are about." -Gunther Leobacher, Mathematical Reviews Clippings December 2013