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On perceptions of financial volatility in price sequences

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  • Darren Duxbury
  • Barbara Summers

Abstract

Stock prices in financial markets rise and fall, sometimes dramatically, thus asset returns exhibit volatility. In finance theory, volatility is synonymous with risk and as such represents the dispersion of asset returns about their central tendency (i.e. mean), measured by the standard deviation of returns. When individuals make investment decisions, influenced by perceptions of risk and volatility, they commonly do so by examining graphs of historic price sequences rather than returns. It is unclear, therefore, whether standard deviation of return is foremost in their mind when making such decisions. We conduct two experiments to examine the factors that may influence perceptions of financial volatility, including standard deviation along with a number of price-based factors. Also of interest is the influence of price sequence regularity on perceived volatility. While standard deviation may have a role to play in perception of volatility, we find evidence that other price-based factors play a far greater role. Furthermore, we report evidence to support the view that the extent to which prices appear irregular is a separate aspect of volatility, distinct from the extent to which prices deviate from central tendency. Also, while partially correlated, individuals do not perceive risk and volatility as synonymous, though they are more closely related in the presence of price sequence irregularity.

Suggested Citation

  • Darren Duxbury & Barbara Summers, 2018. "On perceptions of financial volatility in price sequences," The European Journal of Finance, Taylor & Francis Journals, vol. 24(7-8), pages 521-543, May.
  • Handle: RePEc:taf:eurjfi:v:24:y:2018:i:7-8:p:521-543
    DOI: 10.1080/1351847X.2017.1282882
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    Citations

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    Cited by:

    1. Dan Zhu & Qingwei Wang & John Goddard, 2022. "A new hedging hypothesis regarding prediction interval formation in stock price forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 697-717, July.
    2. Evelyn Stommel & Nicole Gottschalck & Andreas Hack & Kimberly A. Eddleston & Franz Kellermanns & Nils Kraiczy, 2024. "What is Your Reference Point? How Price Volatility and Organizational Context Affect the Reference Points of Family and Nonfamily Managers," Small Business Economics, Springer, vol. 63(2), pages 805-829, August.
    3. Borsboom, Charlotte & Janssen, Dirk-Jan & Strucks, Markus & Zeisberger, Stefan, 2022. "History matters: How short-term price charts hurt investment performance," Journal of Banking & Finance, Elsevier, vol. 134(C).
    4. Borsboom, Charlotte & Zeisberger, Stefan, 2020. "What makes an investment risky? An analysis of price path characteristics," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 92-125.
    5. Baars, Maren & Cordes, Henning & Mohrschladt, Hannes, 2020. "How negative interest rates affect the risk-taking of individual investors: Experimental evidence," Finance Research Letters, Elsevier, vol. 32(C).
    6. Baars, Maren & Mohrschladt, Hannes, 2024. "Preferences for maximum daily returns," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 343-353.
    7. Tianyang Wang & Robert G. Schwebach & Sriram V. Villupuram, 2022. "Reference point formation: Does the market whisper in the background?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(2), pages 384-421, June.

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