Stochastic Analysis for Finance with Simulations (Paperback, 1st ed. 2016)

This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal portfolio investment, and interest rate models. Also included are simulations of stochastic phenomena, numerical solutions of the Black-Scholes-Merton equation, Monte Carlo methods, and time series. Basic measure theory is used as a tool to describe probabilistic phenomena. The level of familiarity with computer programming is kept to a minimum. To make the book accessible to a wider audience, some background mathematical facts are included in the first part of the book and also in the appendices. This work attempts to bridge the gap between mathematics and finance by using diagrams, graphs and simulations in addition to rigorous theoretical exposition. Simulations are not only used as the computational method in quantitative finance, but they can also facilitate an intuitive and deeper understanding of theoretical concepts. Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. It will particularly appeal to advanced undergraduate and graduate students in mathematics and business, but not excluding practitioners in finance industry.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Universitext
Release date:	July 2016
First published:	2016
Authors:	Geon Ho Choe
Dimensions:	235 x 155 x 40mm (L x W x T)
Format:	Paperback
Pages:	657
Edition:	1st ed. 2016
ISBN-13:	978-3-319-25587-3
Categories:	Books > Business & Economics > Finance & accounting > Finance > General Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Books > Money & Finance > General Promotions
LSN:	3-319-25587-8
Barcode:	9783319255873

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