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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. 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. A practical text for calibrating financial models and numerical option pricing featuring R, Option Pricing and Estimation of Financial Models With R distills inference and simulation of stochastic process in the field of model calibration for financial times series modeled with continuous time processes and numerical option pricing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780470745847
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Etat : New. A practical text for calibrating financial models and numerical option pricing featuring R, Option Pricing and Estimation of Financial Models With R distills inference and simulation of stochastic process in the field of model calibration for financial times series modeled with continuous time processes and numerical option pricing. Num Pages: 472 pages, Illustrations. BIC Classification: KFFM; KJ; PB. Category: (P) Professional & Vocational. Dimension: 237 x 163 x 29. Weight in Grams: 810. . 2011. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780470745847
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Gebunden. Etat : New. Option Pricing and Estimation of Financial Models with RStefano M. Iacus, Department of Economics, Business and Statistics, University of Milan, ItalyThe aim of this book is twofold. The first goal is to summarize elementary and advanced topics on modern op. N° de réf. du vendeur 556558035
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