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  • Search: subject:"tempered stable processes and distributions"
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Year of publication
Subject
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GARCH model 2 ARCH model 1 ARCH-Modell 1 Capital market returns 1 Italien 1 Italy 1 Kapitalmarktrendite 1 Lévy processes 1 L�vy processes 1 Modellierung 1 Non-Gaussian Ornstein-Uhlenbeck processes 1 Option pricing theory 1 Optionspreistheorie 1 Scientific modelling 1 Statistical distribution 1 Statistische Verteilung 1 Stochastic process 1 Stochastic volatility models 1 Stochastischer Prozess 1 Tempered stable processes and distributions 1 Volatility 1 Volatility smile 1 Volatilität 1 filtered historical simulation 1 non-Gaussian Ornstein-Uhlenbeck processes 1 option pricing 1 particle filter 1 stochastic volatility models 1 tempered stable processes and distributions 1 time-changed L�vy processes 1 volatility smile 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 1 Undetermined 1
Author
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Bianchi, Michele Leonardo 2 Fabozzi, Frank J. 2 Rachev, Svetlozar T. 1 Račev, Svetlozar T. 1
Institution
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Banca d'Italia 1
Published in...
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Computational economics 1 Temi di discussione (Economic working papers) 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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Calibrating the Italian smile with time-varying volatility and heavy-tailed models
Bianchi, Michele Leonardo; Fabozzi, Frank J.; Rachev, … - Banca d'Italia - 2014
In this paper we consider several time-varying volatility and/or heavy-tailed models to explain the dynamics of return time series and to fit the volatility smile for exchange-traded options where the underlying is the main �Borsa Italiana� stock index. Given observed prices for the...
Persistent link: https://www.econbiz.de/10011099609
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Cover Image
Calibrating the Italian smile with time-varying volatility and heavy-tailed models
Bianchi, Michele Leonardo; Račev, Svetlozar T.; … - In: Computational economics 51 (2018) 3, pp. 339-378
Persistent link: https://www.econbiz.de/10011963681
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