This paper analyzes the empirical risk tolerance of individuals. Rare empirical evidence shows the role of personal behavior in both propensity toward financial risk and risk aversion. By using a test which mimics the financial decision process in a laboratory setting for 445 individuals, we obtained an ex-post experimental measure for individual risk tolerance. Predictive classification models allow us to evaluate the forecasting accuracy of two alternative risk tolerance assessments: a psychometrically derived questionnaire and a psycho- physiological experiment. Our findings show that misclassifications resulting from the questionnaire are massive: individuals asked to self-assess their risk tolerance reveal a high probability of failing their judgment, i.e., they behave as if they were risk takers, while defining themselves as risk-averse (and vice versa). Conversely, when considering somatic activation, misclassifications are considerably lower. Emotions are confirmed to drive the financial risk- taking process, enhancing the accuracy of the individual risk tolerance forecasting activity.

Misclassifications in Financial Risk Tolerance / Lucarelli, Caterina; Gianni, Brighetti; Pierpaolo, Uberti. - (2012). [10.2139/ssrn.2007023]

Misclassifications in Financial Risk Tolerance

LUCARELLI, Caterina;
2012-01-01

Abstract

This paper analyzes the empirical risk tolerance of individuals. Rare empirical evidence shows the role of personal behavior in both propensity toward financial risk and risk aversion. By using a test which mimics the financial decision process in a laboratory setting for 445 individuals, we obtained an ex-post experimental measure for individual risk tolerance. Predictive classification models allow us to evaluate the forecasting accuracy of two alternative risk tolerance assessments: a psychometrically derived questionnaire and a psycho- physiological experiment. Our findings show that misclassifications resulting from the questionnaire are massive: individuals asked to self-assess their risk tolerance reveal a high probability of failing their judgment, i.e., they behave as if they were risk takers, while defining themselves as risk-averse (and vice versa). Conversely, when considering somatic activation, misclassifications are considerably lower. Emotions are confirmed to drive the financial risk- taking process, enhancing the accuracy of the individual risk tolerance forecasting activity.
2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/76588
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