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Multi-Market Direction-of-Change Modeling Using Dependence Ratios

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  • Anatolyev Stanislav

    ()
    (New Economic School, Moscow)

Abstract

We consider a multivariate dynamic model for the joint distribution of binary outcomes associated with directions-of-change for several markets or assets. The marginal distribution of each binary outcome follows a dynamic binary choice model, while the association structure is parameterized via possibly time varying dependence ratios. We illustrate the technique using daily stock index returns from three European markets, from three Baltic markets, and from two Chinese exchanges.

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File URL: http://www.degruyter.com/view/j/snde.2009.13.1/snde.2009.13.1.1532/snde.2009.13.1.1532.xml?format=INT
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Bibliographic Info

Article provided by De Gruyter in its journal Studies in Nonlinear Dynamics & Econometrics.

Volume (Year): 13 (2009)
Issue (Month): 1 (March)
Pages: 1-24

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Handle: RePEc:bpj:sndecm:v:13:y:2009:i:1:n:5

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Web page: http://www.degruyter.com

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Cited by:
  1. Stanislav Anatolyev & Natalia Kryzhanovskaya, 2009. "Directional Prediction of Returns under Asymmetric Loss: Direct and Indirect Approaches," Working Papers w0136, Center for Economic and Financial Research (CEFIR).

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