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Volumn 9, Issue 3, 2003, Pages 451-465

Nonparametric volatility density estimation

Author keywords

Deconvolution; Density estimation; Kernel estimator; Mixing; Stochastic volatility models

Indexed keywords


EID: 33747336483     PISSN: 13507265     EISSN: None     Source Type: Journal    
DOI: 10.3150/bj/1065444813     Document Type: Article
Times cited : (23)

References (19)
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    • Parameter estimation for discretely observed stochastic volatility models
    • Genon-Catalot, V., Jeantheau, T. and Larédo, C. (1999) Parameter estimation for discretely observed stochastic volatility models. Bernoulli, 5, 855-872.
    • (1999) Bernoulli , vol.5 , pp. 855-872
    • Genon-Catalot, V.1    Jeantheau, T.2    Larédo, C.3
  • 7
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    • Stochastic volatility models as hidden Markov models and statistical applications
    • Genon-Catalot, V., Jeantheau, T. and Larédo, C. (2000) Stochastic volatility models as hidden Markov models and statistical applications. Bernoulli, 6, 1051-1079.
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    • Heston, S.L.1
  • 13
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    • Probability density estimation from sampled data
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    • Strong consistency and rates for deconvolution of multivariate densities of stationary processes
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  • 17
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    • Finite sample performance of deconvolving kernel density estimators
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  • 19
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    • Option valuation under stochastic volatility
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    • Wiggins, J.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.