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A behavioral analysis of investor diversification

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  • Ana-Maria Fuertes
  • Gulnur Muradoglu
  • Belma Ozturkkal

Abstract

This paper studies the link between individual investors' portfolio diversification levels and various personal traits that proxy informational advantages and overconfidence. The analysis is based on objective data from the largest Turkish brokerage house tracking 59,951 individual investors' accounts with a total of 3,248,654 million transactions over the period 2008-2010. Wealthier, highly educated, older investors working in the finance sector and those trading relatively often show higher diversification levels possibly because they are better equipped to obtain and process information. Finance professionals, married investors, and those placing high-volume orders through investment centers show poorer diversification possibly as a reflection of overconfidence. Our analysis reveals important nonlinear effects, implying that the marginal impact of overconfidence on diversification is not uniform across investors but varies according to the investor's information gathering and processing abilities.

Suggested Citation

  • Ana-Maria Fuertes & Gulnur Muradoglu & Belma Ozturkkal, 2014. "A behavioral analysis of investor diversification," The European Journal of Finance, Taylor & Francis Journals, vol. 20(6), pages 499-523, June.
    • Handle: RePEc:taf:eurjfi:v:20:y:2014:i:6:p:499-523
    DOI: 10.1080/1351847X.2012.719829
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    Cited by:

    1. Loban, Lidia & Sarto, José Luis & Vicente, Luis, 2021. "Determinants of non-compliant equity funds with EU portfolio concentration limits," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
    2. Raslan Alzuabi & Sarah Brown & Mark N. Harris & Karl Taylor, 2024. "Modelling the composition of household portfolios: A latent class approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 243-275, February.
    3. Şenol, Doğaç & Onay, Ceylan, 2023. "Impact of gamification on mitigating behavioral biases of investors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    4. Han, Dun & Han, Liyan & Wu, Yanran & Liu, Pei, 2021. "Dividend or growth funds: What drives individual investors' choices?," International Review of Financial Analysis, Elsevier, vol. 77(C).
    5. Baeckström, Ylva & Marsh, Ian W. & Silvester, Joanne, 2021. "Financial advice and gender: Wealthy individual investors in the UK," Journal of Corporate Finance, Elsevier, vol. 71(C).
    6. Kim, Hohyun & Kim, Kyoung Tae & Hanna, Sherman D., 2022. "The Effect of Investment Literacy on the Likelihood of Retail Investor Margin Trading and Having a Margin Call," Finance Research Letters, Elsevier, vol. 45(C).
    7. Ravi Kashyap, 2023. "DeFi Security: Turning The Weakest Link Into The Strongest Attraction," Papers 2312.00033, arXiv.org.
    8. Lu, Xiaomeng & Guo, Jiaojiao & Gan, Li, 2020. "International comparison of household asset allocation: Micro-evidence from cross-country comparisons," Emerging Markets Review, Elsevier, vol. 43(C).
    9. Xiaomeng Lu & Yali Lai & Yong Zhang, 2023. "Digital financial inclusion and investment diversification: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S2), pages 2781-2799, June.
    10. Duxbury, Darren & Hudson, Robert & Keasey, Kevin & Yang, Zhishu & Yao, Songyao, 2015. "Do the disposition and house money effects coexist? A reconciliation of two behavioral biases using individual investor-level data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 55-68.
    11. Lu, Xiaomeng & Zhang, Yong & Zhang, Yixing & Wang, Lin, 2020. "Can investment advisors promote rational investment? Evidence from micro-data in China," Economic Modelling, Elsevier, vol. 86(C), pages 251-263.

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