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This paper investigates whether false confidence, as characterized by a high level of personal mastery and a low level of intelligence (IQ), results in frequent investor trading and subsequent investor wealth erosion across time. Using the National Longitudinal Survey (NLSY79), change in wealth and asset allocation across time is modeled as a function of various behavioral, socio-economic and demographic variables drawn from prior literature. Findings of this research reveal that false confidence is indeed a predictor of trading activity in individual investment assets, and it also has a negative impact on individual wealth creation across time.

<p>This paper investigates whether false confidence, as characterized by a high level of personal mastery and a low level of intelligence (IQ), results in frequent investor trading and subsequent investor wealth erosion across time. Using the National Longitudinal Survey (NLSY79), change in wealth and asset allocation across time is modeled as a function of various behavioral, socio-economic and demographic variables drawn from prior literature. Findings of this research reveal that false confidence is indeed a predictor of trading activity in individual investment assets, and it also has a negative impact on individual wealth creation across time.</p>

An individual’s attitude toward financial risk tolerance (FRT) is an important preference that influences financial decision-making under uncertainty. FRT involves inter-temporal resource allocation. Accurate and reliable measures of FRT are essential for professionals advising consumers as well as researchers who are trying to predict, and understand consumer behavior. This study explores cross-cultural risk tolerance by comparing random samples from Turkey, and the United States. Similar and distinctive attitudes and patterns regarding FRT are identified. Three subjective measures of FRT are employed in this study: Grable and Lytton (1999), Hanna, Gutter and Fan’s (2001) improved version of Barsky, Juster, Kimball and Shapiro (1997), and the Survey of Consumer Finance’s item on risk tolerance. Data was collected via an online survey that used the above-mentioned FRT measures. There were two versions: the original American English version, and a culturally translated Turkish version. To explore the correlation of FRT among measures, we use bivariate analysis by individually employing Pearson Chi-square test of independence, and cross tabulations analysis to each sample. In addition, by pooling both samples, we conduct cumulative logistic regression. We delineate FRT differences and consistencies between countries across subjective financial risk tolerance measures.