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The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio

Author

Listed:
  • Zhihui Lv

    (Guangdong University of Foreign Studies)

  • Amanda M. Y. Chu

    (The Education University of Hong Kong)

  • Wing Keung Wong

    (Asia University
    China Medical University Hospital
    The Hang Seng University of Hong Kong)

  • Thomas C. Chiang

    (Drexel University)

Abstract

The healthcare sector has the highest mean and a low correlation with the business cycle, while Treasury Bills (T-Bills) have the lowest variance in our study. In this paper, we examine the conjecture of whether investors should choose an asset with the highest expected return and an asset with the smallest variance even when the mean–variance rule says “NO”. We examine the conjecture by comparing the performance of portfolios with and without healthcare and 6-M T-bills in the US market. Our findings support the conjecture that investors prefer to invest in portfolios with both healthcare and 6-M T-bills. In addition, we find an arbitrage opportunity in the markets and our findings reject market efficiency. Based on our findings, academics could incorporate both maximum-return and minimum-volatility assets to construct a maximum-return-and-minimum-volatility aggressive-and-yet-defensive trading approach that stochastically dominates most of other assets/portfolios. Thus, our findings can be called the maximum-return-and-minimum-volatility anomaly or the maximum-return-and-minimum-volatility puzzle, or the maximum-return-and-minimum-volatility paradox.

Suggested Citation

  • Zhihui Lv & Amanda M. Y. Chu & Wing Keung Wong & Thomas C. Chiang, 2021. "The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio," Risk Management, Palgrave Macmillan, vol. 23(1), pages 97-122, June.
  • Handle: RePEc:pal:risman:v:23:y:2021:i:1:d:10.1057_s41283-021-00069-4
    DOI: 10.1057/s41283-021-00069-4
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    More about this item

    Keywords

    Healthcare sector; Treasury bills; Portfolio optimization; Mean-risk rules; Stochastic dominance;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • I10 - Health, Education, and Welfare - - Health - - - General

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