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Option Pricing and Estimation of Financial Models with R


Super Savings Item! Save 37% on the Option Pricing and Estimation of Financial Models with R by Wiley at Translate This Website. Hurry! Limited time offer. Offer valid only while supplies last. 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


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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, Lévy 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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Additional Information

Manufacturer:Wiley
Publisher:Wiley
Studio:Wiley
EAN:9780470745847
Item Weight:1.72 pounds
Item Size:1.2 x 9.3 x 9.3 inches
Package Weight:1.8 pounds
Package Size:6.4 x 1.2 x 1.2 inches

Option Pricing and Estimation of Financial Models with R by Wiley

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Option Pricing and Estimation of Financial Models with R

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