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Women and risk tolerance in an aging world

Robert Faff, Terrence Hallahan and Michael McKenzie

International Journal of Accounting & Information Management, 2011, vol. 19, issue 2, 100-117

Abstract: Purpose - Using a very large sample of psychometrically derived risk profiles of adult Australians, the paper aims to explore the linkage between financial risk tolerance and gender. Design/methodology/approach - The key proxy of risk tolerance score (RTS) derives from a 25 question survey devised by Finametrica and used in real client situations. Using multiple regression analysis in which RTS is the dependent variable, the paper tested the importance of gender in explaining cross‐sectional variation, while controlling for a range of demographic characteristics. The impact of gender was further explored through dummy variable enhanced regression analysis constructed to test the increment in each demographic coefficient derived from being female relative to the base case of being male. Findings - The paper documents strong evidence that women differ from men in their attitude to financial risk taking. In general, women are shown to be less risk tolerant than counterpart males, with this differential varying depending on the demographic feature considered. We also find that marital status, number of dependents, age, education, income, combined income, and net assets are significant determinants of risk tolerance in their own right. Originality/value - Given the extent to which women have more conservative risk profiles and the extent to which this conservatism is exacerbated with age (given the longevity advantage of women), one would expect to see asset allocation decisions leading to an overall shift to less risky investment portfolios.

Keywords: Financial risk; Gender; Demographics; Portfolio investment (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijaimp:v:19:y:2011:i:2:p:100-117

DOI: 10.1108/18347641111136427

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International Journal of Accounting & Information Management is currently edited by Dr Xin (Robert) Luo and Professor Han Donker

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