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Numerical Probability An Introduction with Applications to Finance

Title
Numerical Probability [electronic resource] : An Introduction with Applications to Finance / by Gilles Pagès.
ISBN
9783319902760
Publication
Cham : Springer International Publishing : Imprint: Springer, 2018.
Physical Description
XXI, 579 p. 36 illus., 30 illus. in color : online resource.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
August 01, 2018
Series
Universitext,
Contents
1 Simulation of random variables
2 The Monte Carlo method and applications to option pricing
3 Variance reduction
4 The Quasi-Monte Carlo method
5 Optimal Quantization methods I: cubatures
6 Stochastic approximation with applications to finance
7 Discretization scheme(s) of a Brownian diffusion
8 The diffusion bridge method: application to path-dependent options (II)
9 Biased Monte Carlo simulation, Multilevel paradigm
10 Back to sensitivity computation
11 Optimal stopping, Multi-asset American/Bermuda Options
12 Miscellany.
Citation

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