Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China

Zhidong Bai, Hua Li*, Michael McAleer, Wing Keung Wong

*Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    47 Citations (Scopus)

    Abstract

    We derive the limiting process of stochastic dominance statistics for risk averters as well as for risk seekers when the underlying processes are dependent or independent. We take account of the dependency of the partitions and propose a bootstrap method to decide the critical point. In addition, we illustrate the applicability of the stochastic dominance statistics for both risk averters and risk seekers to analyse the dominance relationship between the Chinese and US stock markets in the entire period as well as the sub-periods before and after the crises, including the internet bubble and the recent sub-prime crisis. The findings could be used to draw inferences on the preferences of risk averters and risk seekers in investing in the Chinese and US stock markets. The results also enable us to examine whether there are arbitrage opportunities in these markets, and whether these markets are efficient and investors are rational.

    Original languageEnglish
    Pages (from-to)889-900
    Number of pages12
    JournalQuantitative Finance
    Volume15
    Issue number5
    Early online date9 Sept 2014
    DOIs
    Publication statusPublished - 4 May 2015

    Scopus Subject Areas

    • Finance
    • Economics, Econometrics and Finance(all)

    User-Defined Keywords

    • Hypothesis testing
    • Risk aversion
    • Risk-seeking
    • Stochastic dominance
    • Test statistic

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