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Financial and non-financial risk attitudes: What does it matter?

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  • Colasante, Annarita
  • Riccetti, Luca

Abstract

In this paper we try to: (i) study the personal features of the subjects that can influence the risk attitude in financial and non-financial contexts, (ii) understand the correspondences among some behaviors in financial and non-financial choices. We start from the questionnaire used by Colasante and Riccetti (2020), that investigates how subjects take into account the first four moments of the return distribution in making risky decisions, and that collects data from a very large and heterogeneous population. We find that age and geographical location are important determinants of risk propensity in all domains. Moreover, we find that risk attitudes in financial and non-financial contexts are correlated, but correlation is far from 1, with a larger risk aversion in non-financial contexts. Therefore, there is a common underlying risk trait, but the context is also relevant. Interestingly, the financial risk propensity is positively correlated to the propensity to perform illegal activities.

Suggested Citation

  • Colasante, Annarita & Riccetti, Luca, 2021. "Financial and non-financial risk attitudes: What does it matter?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    • Handle: RePEc:eee:beexfi:v:30:y:2021:i:c:s2214635021000381
    DOI: 10.1016/j.jbef.2021.100494
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    as
    1. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    2. Thomas Dohmen & Armin Falk & Bart H. H. Golsteyn & David Huffman & Uwe Sunde, 2017. "Risk Attitudes Across The Life Course," Economic Journal, Royal Economic Society, vol. 127(605), pages 95-116, October.
    3. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    4. Kimball, Miles S, 1990. "Precautionary Saving in the Small and in the Large," Econometrica, Econometric Society, vol. 58(1), pages 53-73, January.
    5. Paolacci, Gabriele & Chandler, Jesse & Ipeirotis, Panagiotis G., 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Cambridge University Press, vol. 5(5), pages 411-419, August.
    6. Christian Gollier & James Hammitt & Nicolas Treich, 2013. "Risk and choice: A research saga," Journal of Risk and Uncertainty, Springer, vol. 47(2), pages 129-145, October.
    7. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    8. Thomas B. Astebro & Luís Santos-Pinto & J. Mata, 2009. "Preferences for Skew," Post-Print hal-00654369, HAL.
    9. Hans-Martin von Gaudecker & Arthur van Soest & Erik Wengstrom, 2011. "Heterogeneity in Risky Choice Behavior in a Broad Population," American Economic Review, American Economic Association, vol. 101(2), pages 664-694, April.
    10. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    11. Thomas Astebro & José Mata & Luis Santos-Pinto, 2009. "Preference for Skew in Lotteries: Evidence from the Laboratory," Cahiers de Recherches Economiques du Département d'économie 09.09, Université de Lausanne, Faculté des HEC, Département d’économie.
    12. Allingham, Michael G. & Sandmo, Agnar, 1972. "Income tax evasion: a theoretical analysis," Journal of Public Economics, Elsevier, vol. 1(3-4), pages 323-338, November.
    13. Louis Eeckhoudt & Harris Schlesinger, 2006. "Putting Risk in Its Proper Place," American Economic Review, American Economic Association, vol. 96(1), pages 280-289, March.
    14. Filippin, Antonio & Gioia, Francesca, 2018. "Competition and subsequent risk-taking behaviour: Heterogeneity across gender and outcomes," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 84-94.
    15. Tobias Brunner & Rene Levinsky & Jianying Qiu, 2011. "Preferences for skewness: evidence from a binary choice experiment," The European Journal of Finance, Taylor & Francis Journals, vol. 17(7), pages 525-538.
    16. Thomas Dohmen & Armin Falk & Bart H. H. Golsteyn & David Huffman & Uwe Sunde, 2017. "Risk Attitudes Across The Life Course," Economic Journal, Royal Economic Society, vol. 127(605), pages 95-116, October.
    17. Cary Deck & Harris Schlesinger, 2010. "Exploring Higher Order Risk Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1403-1420.
    18. Hans-Martin von Gaudecker & Arthur van Soest & Erik Wengstrom, 2011. "Heterogeneity in Risky Choice Behavior in a Broad Population," American Economic Review, American Economic Association, vol. 101(2), pages 664-694, April.
    19. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    20. Miriam Krieger & Thomas Mayrhofer, 2017. "Prudence and prevention: an economic laboratory experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 24(1), pages 19-24, January.
    21. Colasante, Annarita & Riccetti, Luca, 2020. "Risk aversion, prudence and temperance: It is a matter of gap between moments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    22. Caballe, Jordi & Pomansky, Alexey, 1996. "Mixed Risk Aversion," Journal of Economic Theory, Elsevier, vol. 71(2), pages 485-513, November.
    23. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    24. Cary Deck & Harris Schlesinger, 2014. "Consistency of Higher Order Risk Preferences," Econometrica, Econometric Society, vol. 82(5), pages 1913-1943, September.
    25. Charles N. Noussair & Stefan T. Trautmann & Gijs van de Kuilen, 2014. "Higher Order Risk Attitudes, Demographics, and Financial Decisions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(1), pages 325-355.
    26. Sebastian Ebert & Daniel Wiesen, 2011. "Testing for Prudence and Skewness Seeking," Management Science, INFORMS, vol. 57(7), pages 1334-1349, July.
    27. Ebert, Sebastian, 2015. "On skewed risks in economic models and experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 85-97.
    28. Kane, Alex, 1982. "Skewness Preference and Portfolio Choice," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 17(1), pages 15-25, March.
    29. Sebastian Ebert & Daniel Wiesen, 2014. "Joint measurement of risk aversion, prudence, and temperance," Journal of Risk and Uncertainty, Springer, vol. 48(3), pages 231-252, June.
    30. Aurélien Baillon & Harris Schlesinger & Gijs van de Kuilen, 2018. "Measuring higher order ambiguity preferences," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 233-256, June.
    31. Ferdinand M. Vieider & Mathieu Lefebvre & Ranoua Bouchouicha & Thorsten Chmura & Rustamdjan Hakimov & Michal Krawczyk & Peter Martinsson, 2015. "Common Components Of Risk And Uncertainty Attitudes Across Contexts And Domains: Evidence From 30 Countries," Journal of the European Economic Association, European Economic Association, vol. 13(3), pages 421-452, June.
    32. Scott, Robert C & Horvath, Philip A, 1980. "On the Direction of Preference for Moments of Higher Order Than the Variance," Journal of Finance, American Finance Association, vol. 35(4), pages 915-919, September.
    33. Cary Deck & Harris Schlesinger, 2018. "On The Robustness Of Higher Order Risk Preferences," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 85(2), pages 313-333, June.
    34. Ferdinand Vieider & Thorsten Chmura & Tyler Fisher & Takao Kusakawa & Peter Martinsson & Frauke Mattison Thompson & Adewara Sunday, 2015. "Within- versus between-country differences in risk attitudes: implications for cultural comparisons," Theory and Decision, Springer, vol. 78(2), pages 209-218, February.
    35. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    36. Trautmann, Stefan T. & Kuilen, Gijs van de, 2018. "Higher order risk attitudes: A review of experimental evidence," European Economic Review, Elsevier, vol. 103(C), pages 108-124.
    37. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    38. Timo Heinrich & Thomas Mayrhofer, 2018. "Higher-order risk preferences in social settings," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 434-456, June.
    39. Siddharth Suri & Duncan J Watts, 2011. "Cooperation and Contagion in Web-Based, Networked Public Goods Experiments," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-18, March.
    40. Haering, Alexander & Heinrich, Timo & Mayrhofer, Thomas, 2017. "Exploring the consistency of higher-order risk preferences," Ruhr Economic Papers 688, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    41. Lajeri-Chaherli, Fatma, 2004. "Proper prudence, standard prudence and precautionary vulnerability," Economics Letters, Elsevier, vol. 82(1), pages 29-34, January.
    42. Elke U. Weber & Christopher Hsee, 1998. "Cross-Cultural Differences in Risk Perception, but Cross-Cultural Similarities in Attitudes Towards Perceived Risk," Management Science, INFORMS, vol. 44(9), pages 1205-1217, September.
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    More about this item

    Keywords

    Experiment; Demographics; Choice under uncertainty; Risk aversion; Behavioral finance; Moments of return distribution;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • G40 - Financial Economics - - Behavioral Finance - - - General

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