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On the Regular Variation of Ratios of Jointly Frechet Random Variables

2011/02/03 by Yizao Wang, Wang, Yizao
Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Bayesian Methods and Mixture Models #FOS: Mathematics #Financial Risk and Volatility Modeling #Probability and Risk Models #Statistics Theory (math.ST)

paper · pdf · doi:10.48550/arxiv.1102.0771

openalex publication_date 2011/02/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We provide a necessary and sufficient condition for the ratio of two jointly alpha-Frechet random variables to be regularly varying. This condition is based on the spectral representation of the joint distribution and is easy to check in practice. Our result motivates the notion of the ratio tail index, which quantifies dependence features that are not characterized by the tail dependence index. As an application, we derive the asymptotic behavior of the quotient correlation coefficient proposed in Zhang (2008) in the dependent case. Our result also serves as an example of a new type of regular variation of products, different from the ones investigated by Maulik et al. (2002).

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