Concepedia

TLDR

Risk is a core element of economic decisions, yet little is known about how financial professionals perceive risk. The study surveyed 2,213 finance professionals and 4,559 laypeople across nine countries, presenting them with return distributions of equal expected return while systematically varying skewness, kurtosis, and other higher moments. Results show that skewness alone systematically shapes professionals’ risk perception, variance has no effect, and the probability of losses is the strongest predictor of perceived risk and investment propensity, with volatility and kurtosis having only minor influence; these patterns hold for laypeople and across cultures and job fields. The paper was accepted by Yuval Rottenstreich in Decision Analysis.

Abstract

Risk is an integral part of many economic decisions and is vitally important in finance. Despite extensive research on decision making under risk, little is known about how risks are actually perceived by financial professionals, the key players in global financial markets. In a large-scale survey experiment with 2,213 finance professionals and 4,559 laypeople in nine countries representing ~50% of the world’s population and more than 60% of the world’s gross domestic product, we expose participants to return distributions with equal expected return, and we systematically vary the distributions’ next three higher moments. Of these, skewness is the only moment that systematically affects financial professionals’ perception of financial risk. Strikingly, variance does not influence risk perception, even though return volatility is the most common risk measure in finance in both academia and the industry. When testing other, compound risk measures, the probability to experience losses is the strongest predictor of what is perceived as being risky. Analyzing professionals’ propensity to invest, skewness and loss probability also have strong predictive power, while volatility and kurtosis have some additional effect. Our results are very similar for laypeople, and they are robust across and within countries with different cultural backgrounds, as well as for different job fields of professionals. This paper was accepted by Yuval Rottenstreich, decision analysis.

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