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Does Households’ Wealth Predict the Efficiency of their Asset Mix? Empirical Evidence

Author

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  • Oehler, Andreas
  • Horn, Matthias

Abstract

We analyze whether the efficiency of households’ asset mixes is driven by households’ wealth as suggested by previous studies. This question is of particular importance when assessing if employing a buy-and-hold strategy with their current asset mix is an appropriate advice for all households. Using the dataset of the Panel on Household Finances by the German central bank and a new approach that extracts household-specific portfolios to measure households’ wealth available for investments, we find that more wealthy households do not have a more efficient asset mix. Instead, the gender of the financial knowledgeable person (FKP) and the household’s risk attitude significantly influence the efficiency of the household’s asset mix. Our results are robust to household members’ estimation regarding future savings and the FKP’s formal level of education and financial literacy. A buy-and-hold strategy in low-fee index products could, therefore, considerably enhance both more and less wealthy households’ investment success.

Suggested Citation

  • Oehler, Andreas & Horn, Matthias, 2019. "Does Households’ Wealth Predict the Efficiency of their Asset Mix? Empirical Evidence," Review of Behavioral Economics, now publishers, vol. 6(3), pages 249–282-2, August.
    • Handle: RePEc:now:jnlrbe:105.00000106
    DOI: 10.1561/105.00000106
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    Citations

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    Cited by:

    1. Tim Schmitz & Ingo Hoffmann, 2020. "Re-evaluating cryptocurrencies' contribution to portfolio diversification -- A portfolio analysis with special focus on German investors," Papers 2006.06237, arXiv.org, revised Aug 2020.
    2. Matthias Horn & Andreas Oehler, 2020. "Automated portfolio rebalancing: Automatic erosion of investment performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(6), pages 489-505, October.
    3. Oehler, Andreas & Horn, Matthias & Wendt, Stefan, 2020. "Information Illusion: Placebic Information and Stock Price Estimates," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224575, Verein für Socialpolitik / German Economic Association.
    4. Andreas Oehler & Matthias Horn, 2021. "Behavioural portfolio theory revisited: lessons learned from the field," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1743-1774, April.
    5. Oehler, Andreas & Wanger, Hans Philipp, 2020. "Household portfolio optimization with XTFs? An empirical study using the SHS-base," Research in International Business and Finance, Elsevier, vol. 51(C).
    6. Andreas Oehler & Julian Schneider, 2022. "Gambling with lottery stocks?," Journal of Asset Management, Palgrave Macmillan, vol. 23(6), pages 477-503, October.

    More about this item

    Keywords

    Household Finance; Asset Allocation; Portfolio Composition;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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