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Prediction of Variables Via Their Order Statistics in Bivariate Elliptical Distributions with Application in the Financial Markets

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  • Sobhan Shafiei
  • Mahdi Doostparast
  • Ahad Jamalizadeh

Abstract

Assuming that (X1, X2) has a bivariate elliptical distribution, we obtain an exact expression for the joint probability density function (pdf) as well as the corresponding conditional pdfs of X1 and X(2) ≔ max {X1, X2}. The problem is motivated by an application in financial markets. Exchangeable random variables are discussed in more detail. Two special cases of the elliptical distributions that is the normal and the student’s t models are investigated. For illustrative purposes, a real data set on the total personal income in California and New York is analyzed using the results obtained. Finally, some concluding remarks and further works are discussed.

Suggested Citation

  • Sobhan Shafiei & Mahdi Doostparast & Ahad Jamalizadeh, 2015. "Prediction of Variables Via Their Order Statistics in Bivariate Elliptical Distributions with Application in the Financial Markets," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(3), pages 627-643, February.
    • Handle: RePEc:taf:lstaxx:v:44:y:2015:i:3:p:627-643
    DOI: 10.1080/03610926.2012.752842
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    Cited by:

    1. Müller K. & Richter W.-D., 2017. "Exact distributions of order statistics from ln,p-symmetric sample distributions," Dependence Modeling, De Gruyter, vol. 5(1), pages 221-245, August.

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