Monte Carlo Methods in Financial Engineering

Monte Carlo Methods in Financial Engineering

Einband:
Kartonierter Einband
EAN:
9781441918222
Untertitel:
Stochastic Modelling and Applied Probability 53
Autor:
Paul Glasserman
Herausgeber:
Springer New York
Auflage:
Softcover reprint of hardcover 1st ed. 2003
Anzahl Seiten:
612
Erscheinungsdatum:
19.11.2010
ISBN:
1441918221

This book is devoted to the use of Monte Carlo methods in finance and is the first of its kind in this area. It will serve as a reference for practitioners and researchers and will also be suitable as a graduate text for courses on computational finance.

Includes supplementary material: sn.pub/extras

Inhalt
1 Foundations.- 2 Generating Random Numbers and Random Variables.- 3 Generating Sample Paths.- 4 Variance Reduction Techniques.- 5 Quasi-Monte Carlo.- 6 Discretization Methods.- 7 Estimating Sensitivities.- 8 Pricing American Options.- 9 Applications in Risk Management.- A Appendix: Convergence and Confidence Intervals.- A.1 Convergence Concepts.- A.2 Central Limit Theorem and Confidence Intervals.- B Appendix: Results from Stochastic Calculus.- B.1 Itô's Formula.- B.2 Stochastic Differential Equations.- B.3 Martingales.- B.4 Change of Measure.- C Appendix: The Term Structure of Interest Rates.- C.1 Term Structure Terminology.- C.2 Interest Rate Derivatives.- References.


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