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Who Is Successful in Foreign Exchange Margin Trading? New Survey Evidence from Japan

Author

Listed:
  • Bernd Hayo

    (Philipps-Universitaet Marburg)

  • Kentaro Iwatsubo

    (Kobe University)

Abstract

We use a 2018 survey of FX margin traders in Japan to investigate which key factors influence their performance: socio-demographic and economic situation, investment strategy and trading behaviour, and/or financial literacy. First, the data show that variables from all three groups are significant predictors of traders’ performance. Second, we find that older traders and those without a specific trading strategy demonstrate lower performance. Performance is higher for those who trade greater amounts, rely more on fundamental analysis, and report having profitable FX trade skills. Third, respondents’ subjectively stated claim of having FX trade skills is based on a more advanced understanding of FX trading and a reliance on professional advice. Neither objective financial knowledge nor over/underconfidence play a noteworthy role in the performance of margin traders.

Suggested Citation

  • Bernd Hayo & Kentaro Iwatsubo, 2019. "Who Is Successful in Foreign Exchange Margin Trading? New Survey Evidence from Japan," MAGKS Papers on Economics 201917, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    • Handle: RePEc:mar:magkse:201917
    as

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    References listed on IDEAS

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    1. van Rooij, Maarten & Lusardi, Annamaria & Alessie, Rob, 2011. "Financial literacy and stock market participation," Journal of Financial Economics, Elsevier, vol. 101(2), pages 449-472, August.
    2. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2012. "Model selection when there are multiple breaks," Journal of Econometrics, Elsevier, vol. 169(2), pages 239-246.
    3. Rawley Z Heimer & Alex Imas, 2022. "Biased by Choice: How Financial Constraints Can Reduce Financial Mistakes," The Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 1643-1681.
    4. Bernd Hayo, 2018. "On Standard-Error-Decreasing Complementarity: Why Collinearity is Not the Whole Story," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 289-307, March.
    5. Hans-Martin Von Gaudecker, 2015. "How Does Household Portfolio Diversification Vary with Financial Literacy and Financial Advice?," Journal of Finance, American Finance Association, vol. 70(2), pages 489-507, April.
    6. Menkhoff, Lukas & Schmeling, Maik, 2010. "Trader see, trader do: How do (small) FX traders react to large counterparties' trades?," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1283-1302, November.
    7. David F. Hendry & Hans-Martin Krolzig, 2005. "The Properties of Automatic "GETS" Modelling," Economic Journal, Royal Economic Society, vol. 115(502), pages 32-61, March.
    8. Bellofatto, Anthony & D’Hondt, Catherine & De Winne, Rudy, 2018. "Subjective financial literacy and retail investors’ behavior," Journal of Banking & Finance, Elsevier, vol. 92(C), pages 168-181.
    9. Annamaria Lusardi & Olivia S. Mitchell, 2014. "The Economic Importance of Financial Literacy: Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 5-44, March.
    10. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    11. Abbey, Boris S. & Doukas, John A., 2015. "Do individual currency traders make money?," Journal of International Money and Finance, Elsevier, vol. 56(C), pages 158-177.
    12. Hsiao, Yu-Jen & Tsai, Wei-Che, 2018. "Financial literacy and participation in the derivatives markets," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 15-29.
    13. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    14. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    15. MacKinnon, James G. & White, Halbert, 1985. "Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties," Journal of Econometrics, Elsevier, vol. 29(3), pages 305-325, September.
    16. Hayley, Simon & Marsh, Ian W., 2016. "What do retail FX traders learn?," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 16-38.
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    More about this item

    Keywords

    Foreign exchange margin trading; investor survey; foreign exchange trading profits; financial literacy; Japan;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G40 - Financial Economics - - Behavioral Finance - - - General

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