Personal characteristics and risk tolerance in a natural experiment

Abstract

PurposeThis paper examines students' decisions when playing an in-class version of the TV game, Deal or No Deal (DOND), to study the relation between personal characteristics and individual decision-making under risk.Design/methodology/approachThis study analyzes DOND game play data collected from 374 students in 13 university finance classes, and their personal characteristics collected in a post-game survey. It uses ordered probit, OLS and probit regression analysis to examine the impact of personal characteristics on an individual's risk tolerance.FindingsThe key finding is that international students are significantly more risk averse than US domestic students. Additionally, given the natural control for age and education, the study finds that gender, race and religion have a limited impact on an individual's risk tolerance. Finally, the study provides evidence that the structure of the DOND game, in general, rewards risk-taking as long as it is not excessive. Once participant behavior becomes risk-seeking, the correlation between risk-taking and game payoff becomes negative.Research limitations/implicationsThe homogeneous set of contestants (business students) analyzed in this study presents some limitations yet provides opportunities to examine risk tolerance differences between the US and international students, and whether gender, race or religious affiliation has an impact on the level of risk tolerance given a natural control for age and education level.Practical implicationsThe evidence suggests that culture and environmental unfamiliarity may impact an individual's risk tolerance. This finding is useful when providing financial advice to diverse clients or when conducting international business. Additionally, understanding that education and financial literacy reduces differences in risk tolerance across gender, race and religion can impact the way we interact with others. A broader practical implication for all investors is that, while under normal circumstances, risk-taking is rewarded with a higher expected return, excessive risk-taking may harm their investment performance.Originality/valueThis paper utilizes a unique data set, collected through a class activity and post-class survey. While there have been empirical studies using DOND data, this is the first study that examines the impact of personal characteristics on game participants' behavior, thereby generating unique findings not reported in previous studies employing DOND data.

The Influence of Gender on Individuals’ Ability to Predict Their Own Risk Tolerance: Evidence from a European Country

“…Throughout this study, differential prediction models estimated by the least squares method will be used to test gender differences in the perception of risk tolerance, and models with a limited dependent variable (logit models) will be employed to investigate the consistency between individuals' subjective and objective tolerance levels. Models with limited dependent variables are frequently adopted in the recent literature to study individuals' risk tolerance (e.g., Pyles et al 2016;Kochaniak and Ulman 2020;Fang et al 2021;Brous and Han 2022). The gender data of the respondents were coded using a binary variable, assuming the following form: males (1) and females (0).…”