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Option Pricing and Estimation of Financial Models with R
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Option Pricing and Estimation of Financial Models with R Hardcover - 2011 - 1st Edition

by Stefano M. Iacus


From the publisher

Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models.

Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lvy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint.

The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.

From the rear cover

Option Pricing and Estimation of Financial Models with R

Stefano M. Iacus, Department of Economics, Business and Statistics, University of Milan, Italy

The aim of this book is twofold. The first goal is to summarize elementary and advanced topics on modern option pricing: from the basic models of the Black & Scholes theory to the more sophisticated approach based on Lévy processes and other jump processes.

At the same time, the other goal of the book is to identify, estimate and justify, with the use of statistically sound techniques, the choice of particular financial models starting from real financial data.

In the spirit of modern finance, this book considers only continuous time models like diffusion of Lévy processes. Therefore, the statistical techniques presented are those designed to work on real discrete time data obtained from these continuous time models.

Key Features:

  • Provides a comprehensive and in-depth guide to financial modeling.
  • Looks at basic and advanced option pricing with R.
  • Explores simulation of multidimensional stochastic differential equations with jumps.
  • Provides a comprehensive survey on empirical finance in the R statistical environment.
  • Addresses model selection and identification of financial models from empirical financial data.

This book is an invaluable resource for post graduate students and researchers in economics, mathematics and statistics who want to approach mathematical finance from an applied point of view. Statisticians and data analysts working in a field related to finance will also benefit from this book.

Details

  • Title Option Pricing and Estimation of Financial Models with R
  • Author Stefano M. Iacus
  • Binding Hardcover
  • Edition number 1st
  • Edition 1
  • Pages 472
  • Volumes 1
  • Language ENG
  • Publisher Wiley
  • Date 2011-04
  • ISBN 9780470745847 / 0470745843
  • Weight 1.72 lbs (0.78 kg)
  • Dimensions 9.2 x 6.3 x 1.2 in (23.37 x 16.00 x 3.05 cm)
  • Themes
    • Aspects (Academic): Business Aspects
  • Library of Congress Catalog Number 2010045655
  • Dewey Decimal Code 332.645

Media reviews

Citations

  • Reference and Research Bk News, 08/01/2011, Page 84

About the author

Stefano Maria Iacus, Professor (Professore Associato) of Probability and Mathematical Statistics at University of Milan, Department of Economics, Business and Statistics. Stefano is a member of the R development Core Team.
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Option Pricing and Estimation of Financial Models with R

Option Pricing and Estimation of Financial Models with R

by Stefano M. Iacus

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Option Pricing and Estimation of Financial Models with R
Stock Photo: Cover May Be Different

Option Pricing and Estimation of Financial Models with R

by Stefano M. Iacus

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ISBN 13
9780470745847
ISBN 10
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