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Volumn 1, Issue , 2014, Pages 1155-1165

A semiparametric gaussian copula regression model for predicting financial risks from earnings calls

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; FINANCE; INTEGRAL EQUATIONS; REGRESSION ANALYSIS; STOCHASTIC SYSTEMS;

EID: 84906933010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-1109     Document Type: Conference Paper
Times cited : (77)

References (47)
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    • Camiciottoli, B.1
  • 7
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    • Everything you always wanted to know about copula modeling but were afraid to ask
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    • Genest, C.1    Favre, A.2
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    • Donna Harman. 1995. Overview of the second text retrieval conference (trec-2). Information Processing & Management.
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    • Harman, D.1
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    • A new measure of rank correlation
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    • Kendall, M.1
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    • 33845475442 scopus 로고    scopus 로고
    • Automatic evaluation of information ordering: Kendall's tau
    • Mirella Lapata. 2006. Automatic evaluation of information ordering: Kendall's tau. Computational Linguistics.
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    • Lapata, M.1
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    • Lehman folds with record $613 billion debt
    • Sam Mamudi. 2008. Lehman folds with record $613 billion debt. MarketWatch.com.
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    • Mamudi, S.1
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    • Parzen, E.1
  • 34
    • 33750176872 scopus 로고    scopus 로고
    • Efficient bayesian inference for gaussian copula regression models
    • Michael Pitt, David Chan, and Robert Kohn. 2006. Efficient bayesian inference for gaussian copula regression models. Biometrika.
    • (2006) Biometrika
    • Pitt, M.1    Chan, D.2    Kohn, R.3
  • 35
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    • Earnings conference calls and stock returns: The incremental informativeness of textual tone
    • McKay Price, James Doran, David Peterson, and Barbara Bliss. 2012. Earnings conference calls and stock returns: The incremental informativeness of textual tone. Journal of Banking & Finance.
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    • Predicting stock market indicators through twitter "i hope it is not as bad as i fear"
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    • Zhang, X.1    Fuehres, H.2    Gloor, P.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.