Novel methods for assessment of vulnerability to financial exploitation (FE)

Abstract

Financial exploitation (FE) is a complex problem influenced by many factors. This article introduces two novel methods for assessment of FE vulnerability: (1) performance-based measures of financial skills using web-based simulations of common financial tasks; (2) scam vulnerability measures based on credibility ratings of common scam scenarios. Older adults who were male, younger, Hispanic, more educated, with higher incomes performed better on the simulated financial tasks. Better performance was also related to higher cognitive function and numeracy, and more experience with technology. On the scenario-based measures, older adults who were male, younger, African American, less educated, and lower income showed higher FE vulnerability. Higher scam vulnerability was also related to poorer performance on the simulated financial tasks, lower cognitive function, less experience with technology, more financial conflict/anxiety, more impulsivity, and more stranger-initiated FE. Findings indicate that these novel measures show promise as valid indicators of vulnerability to FE.