Option Pricing and Estimation of Financial Models with R download pdf
Option Pricing and Estimation of Financial Models with R download pdf

Option Pricing and Estimation of Financial Models with R by Stefano M. Iacus
Option Pricing and Estimation of Financial Models with R
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Author: Stefano M. Iacus
Page Count: 472 pages
Published Date: 24 May 2011
Publisher: John Wiley and Sons Ltd
Publication Country: Hoboken, United States
Language: English
Format: eBook
ISBN: 9780470745847
File Name: Option.Pricing.and.Estimation.of.Financial.Models.with.R.pdf
Download Link: Option Pricing and Estimation of Financial Models with R
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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, Levy 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.

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