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Calendar anomalies in passion investments: Price patterns and profit opportunities

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  • Plastun, Alex
  • Bouri, Elie
  • Havrylina, Ahniia
  • Ji, Qiang

Abstract

This study provides the first empirical evidence on calendar anomalies in various passion investment markets for diamonds, fine wines, stamps, and fine arts. With several statistical techniques [e.g., average analysis, Student’s t-test, analysis of variance (ANOVA), Kruskal–Wallis, and Mann–Whitney tests] and a trading simulation model, the results show that the passion investment markets depend on the calendar anomalies, which challenges the efficient market hypothesis. However, calendar anomalies are not homogeneous across various passion markets. In general, Day-of-the-Week and Month-of-the-Year Effects are the most commonly detected calendar anomalies, and some prices generally follow the Halloween Effect. The markets for wine, diamonds, and art follow a seasonality. However, the Turn-of-the-Year and Turn-of-the-Month Effects are primarily absent in the passion markets. A simulation analysis of profitable trading strategies provided practical implications for exploiting opportunities arising from the calendar anomalies in the passion investment markets.

Suggested Citation

  • Plastun, Alex & Bouri, Elie & Havrylina, Ahniia & Ji, Qiang, 2022. "Calendar anomalies in passion investments: Price patterns and profit opportunities," Research in International Business and Finance, Elsevier, vol. 61(C).
  • Handle: RePEc:eee:riibaf:v:61:y:2022:i:c:s0275531922000666
    DOI: 10.1016/j.ribaf.2022.101678
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    More about this item

    Keywords

    Diamonds; Fine wine; Stamps; Fine art; Calendar anomalies; Trading strategies;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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