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Competition for visibility: When do (FX) signal providers employ lotteries?

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  • Schneider, Julian
  • Oehler, Andreas

Abstract

We argue that certain currency pairs, similar to stocks, are perceived and employed as gambling opportunities. We define currency pairs with extreme positive daily returns as lotteries. By analyzing data from a popular foreign exchange focused social trading platform, we provide empirical evidence of a U-shaped relationship between previous relative trader performance and the traded lottery share: Traders with bad performance and traders with good performance, in comparison to their peers, are more prone to gamble, i.e. trade a higher monthly share of lotteries. Regarding both sides of the relative performance spectrum, we link our results to well-documented behavioral phenomena. Furthermore, we relate our results to remuneration design features common to social trading, where only outperformers gain visibility and may become eligible for receiving compensation form the platform vendor. In consequence, especially signal providers at the lower end of the performance spectrum are incentivized to gamble; after (repeatedly) performing poorly, traders might be willing to take gambles for a small chance to get a declining account back on track.

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  • Schneider, Julian & Oehler, Andreas, 2021. "Competition for visibility: When do (FX) signal providers employ lotteries?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:finana:v:78:y:2021:i:c:s1057521921002192
    DOI: 10.1016/j.irfa.2021.101892
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    More about this item

    Keywords

    Foreign exchange trading; Gambling; Social trading;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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