Which measures predict risk taking in a multi-stage controlled investment decision process?

Authors

  • Kremena Bachmann Department of Banking and Finance, University of Zurich
  • Thorsten Hens Department of Banking and Finance, University of Zurich
  • Remo Stossel Department of Banking and Finance, University of Zurich

DOI:

https://doi.org/10.61190/fsr.v26i4.3371

Keywords:

Experience sampling, Risk taking, Risk preferences, Risk attitude, Risk tolerance, Risk profiling

Abstract

We assess the ability of different risk profiling measures to predict risk taking along a multistage process that reflects individuals’ discovery of their willingness to take risks. We find that the individual willingness to take risks varies along the process, but its level is always related to a composite measure of the individual risk tolerance. Assessment of the risk tolerance cannot be substituted by a simulated experience, although the latter can improve the perception of the risk and reward potential of the investment and motivate higher risk taking. The risk tolerance measure addresses different notions of risk, but we found that the individual loss aversion is the most powerful predictor of risk taking at all stages of the discovery process. By contrast, we found that neither the self-assessed risk tolerance measures nor the investment experience are suitable for consistently predicting risk taking at different stages of the process.

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Published

2017-12-30

How to Cite

Bachmann, K., Hens, T., & Stossel, R. (2017). Which measures predict risk taking in a multi-stage controlled investment decision process?. Financial Services Review, 26(4), 339–365. https://doi.org/10.61190/fsr.v26i4.3371

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Section

New Original Submission