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  • Search: subject:"characteristic function GMM"
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Subject
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Asymptotic efficiency. Characteristic function. GMM. Diffusion processes. Simulated Method of Moments 1 Efficacité asymptotique. Fonction caractéristique. Méthode des moments généralisés. Méthode des moments simulés. Processus de diffusion 1 GMM 1 characteristic function GMM 1 implied distribution 1 implied moment 1 jump diffusion process 1 nonparametric method 1
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Online availability
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Free 2
Type of publication
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Book / Working Paper 2
Language
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English 2
Author
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Carrasco, Marine 1 Chernov, Mikhail 1 Florens, Jean-Pierre 1 Ghysels, Eric 1 Oda, Nobuyuki 1 Sugihara, Yoshihiko 1
Institution
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Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 1 Institute for Monetary and Economic Studies, Bank of Japan 1
Published in...
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CIRANO Working Papers 1 IMES Discussion Paper Series 1
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RePEc 2
Showing 1 - 2 of 2
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An Empirical Analysis of Equity Market Expectations in the Recent Financial Turmoil Using Implied Moments and Jump Diffusion Processes
Sugihara, Yoshihiko; Oda, Nobuyuki - Institute for Monetary and Economic Studies, Bank of Japan - 2010
This paper investigates market expectations of future equity prices using the probability distribution and the moments implied in equity option prices. We first conduct, without assuming a particular model, a nonparametric analysis of the development of market expectations in four major markets...
Persistent link: https://www.econbiz.de/10008471281
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Efficient Estimation of Jump Diffusions and General Dynamic Models with a Continuum of Moment Conditions
Ghysels, Eric; Florens, Jean-Pierre; Chernov, Mikhail; … - Centre Interuniversitaire de Recherche en Analyse des … - 2003
A general estimation approach combining the attractive features of method of moments with the efficiency of ML is proposed. The moment conditions are computed via the characteristic function. The two major difficulties with the implementation is that one needs to use an infinite set of moment...
Persistent link: https://www.econbiz.de/10005101005
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