Numerical Probability
By:Gilles Pagès
Published on 2018-07-31 by Springer
This textbook provides a self-contained introduction to numerical methods in probability with a focus on applications to finance. Topics covered include the Monte Carlo simulation (including simulation of random variables, variance reduction, quasi-Monte Carlo simulation, and more recent developments such as the multilevel paradigm), stochastic optimization and approximation, discretization schemes of stochastic differential equations, as well as optimal quantization methods. The author further presents detailed applications to numerical aspects of pricing and hedging of financial derivatives, risk measures (such as value-at-risk and conditional value-at-risk), implicitation of parameters, and calibration. Aimed at graduate students and advanced undergraduate students, this book contains useful examples and over 150 exercises, making it suitable for self-study.
This Book was ranked at 32 by Google Books for keyword oscar coffret francais maths ce1 francais.
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Book which was published by Springer since 2018-07-31 have ISBNs, ISBN 13 Code is 9783319902760 and ISBN 10 Code is 3319902768
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