This study was designed to determine whether the variables gender, age, marital status, occupation, self-employment, income, race, and education could be used individually or in combination to both differentiate among levels of investor risk tolerance and classify individuals into risk-tolerance categories. The Leimberg, Satinsky, LeClair, and Doyle (1993) financial management model was used as the theoretical basis for this study. The model explains the process of how investment managers effectively develop plans to allocate a client's scarce investment resources to meet financial objectives. An empirical model for categorizing investors into risk-tolerance categories using demographic factors was developed and empirically tested using data from the 1992 Survey of Consumer Finances (SCF) (N = 2,626). The average respondent was affluent and best represented the profile of an investment management client. Based on findings from a multiple discriminant analysis test it was determined that respondent demographic characteristics were significant in differentiating among levels of risk tolerance at the p < .0001 level (i.e., gender, married, single but previously married, professional occupational status, self-employment status, income, White, Black, and Hispanic racial background, and educational level), while three demographic characteristics were found to be statistically insignificant (i.e., age, Asian racial background, and never married). Multiple discriminant analysis also revealed that the demographic variables examined in this study explained approximately 20% of the variance among the three levels of investor risk tolerance. Classification equations were generated. The classification procedure offered only a 20% improvement-over-chance, which was determined to be a low proportional reduction in error. The classification procedure also generated unacceptable levels of false positive classifications, which led to over classification of respondents into high and no risk-tolerance categories, while under classifying respondents into the average risk-tolerance category. Two demographic characteristics were determined to be the most effective in differentiating among and classifying respondents into risk-tolerance categories. Classes of risk tolerance differed most widely on respondents' educational level and gender. Educational level of respondents was determined to be the most significant optimizing factor. It also was concluded that demographic characteristics provide only a starting point in assessing investor risk tolerance. Understanding risk tolerance is a complicated process that goes beyond the exclusive use of demographic characteristics. More research is needed to determine which additional factors can be used by investment managers to increase the explained variance in risk-tolerance differences. / Ph. D.

The nature of employee retirement plans has changed dramatically over the past fifteen years as employers have been replacing traditional defined benefit retirement plans with defined contribution plans like the 401(k) plan. This dissertation is focused on the impact that 401(k) plan have on household asset accumulation. The first essay looks at how much asset accumulation can be attributed to 401(k) plans as opposed to other factors such as demographics and saver type characteristics. Overall, the conclusions are consistent with recent research that says these plans induce a reshuffling of assets rather than being funded through a reduction in consumption. Controlling for cohort effects reduces the amount of wealth attributable to 401(k) eligibility to a negligible (and statistically insignificant) amount. The second essay considers the impact that borrowing against the assets in 401(k) plan might have on household asset accumulation. Most personal finance advice warns against borrowing against a retirement plan because of the potential negative impact on retirement wealth. This is especially true for borrowers who are also undisciplined savers and do not or cannot maintain their retirement plan contributions during loan period or who separate from their employers before the loan is repaid. For good savers a retirement plan loan only has a modest impact on retirement wealth. Only modest make-up contributions would need to be made to mitigate the impact of a retirement plan loan. It seems that many borrowers may be using retirement loans because they are in financial difficulty. It also appears that borrowers are trying to maintain their retirement savings, but their asset accumulation within broader measures of wealth is below that of households that do not have outstanding 401(k) loans.

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