RiskTRACK: the five-factor model for measuring risk tolerance

Abstract

Purpose Currently, few academics agree on a standard and scientific way to measure risk tolerance. This paper aims to create a unique model for empirically measuring risk tolerance and to make a strong contribution to the growing literature in risk tolerance and risk management. Design/methodology/approach The authors use factor analysis and regression analysis to identify relevant factors for measuring risk tolerance. Findings The risk tolerance model is based on the acronymed model riskTRACK, which includes the five significant factors this paper identifies for measuring risk tolerance: traditional risk factor, reflective risk factor, allocation risk factor, capacity risk factor and knowledge risk factor. Research limitations/implications Uses for future research streams devoted to risk tolerance and risk management. Practical implications The results also have practical applications for the financial services industry, particularly risk management, portfolio management and financial planning. Originality/value In sum, this research expands previous research in risk tolerance and also adds to the growing literature in risk management. Once again, this paper is unique in that the authors develop a valid and reliable risk tolerance model based on five specific factors for measuring risk tolerance.