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Assessing Risk Attitude: The Benefits of Pooling Measures

Author

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  • Lukas Menkhoff
  • Sahra Sakha

Abstract

In Germany and many other countries, financial advisors are required by law to assess their clients’ risk preferences in order to help them make informed and appropriate investment decisions. Most institutions that provide financial advice - banks, for instance - carry out this assessment using just one type of risk measure. Financial advisors might ask clients to answer a question about their attitudes towards risk, for example, or to choose one option among several more or less risky alternatives. Our study finds, however, that employing only one type of risk measure may result in an inaccurate assessment of risk aversion - and if the underlying information is unreliable, the corresponding investment decision will also be flawed. Based on empirical data comprising an unusually broad set of seven different risk measures, we suggest a more robust risk assessment model that combines various methods. Since our results indicate that these multiple-item risk measures usually outperform single-item measures, we recommend combining two or even three items to obtain more reliable risk attitude profiles. A higher level of accuracy could in turn lead to better investment advice.

Suggested Citation

  • Lukas Menkhoff & Sahra Sakha, 2016. "Assessing Risk Attitude: The Benefits of Pooling Measures," DIW Economic Bulletin, DIW Berlin, German Institute for Economic Research, vol. 6(40/41/42), pages 483-490.
  • Handle: RePEc:diw:diwdeb:2016-40-1
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    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.545411.de/diw_econ_bull_2016-40-1.pdf
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    Citations

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    Cited by:

    1. Lancee, Bora & Rossel, Lucia & Kasper, Matthias, 2023. "When the agency wants too much: Experimental evidence on unfair audits and tax compliance," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 406-442.

    More about this item

    Keywords

    Risk attitude; risk measure; lab-in-the-field experiments; household survey; financial behavior;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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