In the context of Japan’s rapidly aging population, people’s anxiety about life after 65, especially regarding financial sustainability, has become a growing concern. This study examines old age anxiety through the lens of digital financial literacy (DFL), which can significantly impact people’s retirement well-being and long-term financial security in today’s digital environment. Drawing on a large-scale dataset from the “Survey on Life and Money,” jointly conducted by Rakuten Securities and Hiroshima University, we analyze responses from 94,695 individuals aged 40 to 64 who are active bank account holders. Based on ordinal logistic regression, our findings reveal a negative association between DFL and old age anxiety. Further analysis of the five dimensions of DFL demonstrates that several practical components, such as digital financial know-how, decision-making abilities, and self-protection skills, are associated with alleviated old age anxiety. In contrast, a reliance on basic financial knowledge and general awareness alone may exacerbate anxiety. These findings underscore the need to move beyond basic digital awareness and focus on promoting practical skills in digital finance, ultimately supporting better financial decision-making and enhancing overall well-being in older age.

Rapid digitalization has reshaped financial decision-making, and anxiety about later life is an important concern among middle-aged and older investors. Yet it remains unclear whether the traditional Big Three financial knowledge component captures the aspects of financial capability most closely associated with lower anxiety in digital financial environments. This study examines the association between old-age anxiety and digital financial literacy (DFL) components among digitally active Japanese retail investors aged 40–64. Using data from a large-scale survey of 94,695 investors, we estimate ordered probit models to examine overall DFL and its eight subdimensions. While overall DFL is negatively associated with anxiety about life after age 65, decomposing the index reveals substantial heterogeneity across components. The traditional Big Three financial knowledge component does not show a robust independent negative association with old-age anxiety once actionable and protective digital competencies are accounted for. In contrast, practical know-how, positive financial attitude, and self-protection are more consistently associated with lower anxiety. Supplementary heterogeneity analyses suggest that the positive conditional association between financial knowledge and anxiety is most visible among men aged 50–59, although these subgroup patterns should be interpreted cautiously. These findings do not imply that financial knowledge is unimportant. Rather, they suggest that Big Three financial knowledge alone may be an insufficient proxy for the dimensions of financial capability associated with lower self-reported old-age anxiety in digital financial environments. Given the cross-sectional design, the findings are interpreted as conditional associations rather than causal effects.

Inflation expectations play an important role in monetary transmission, yet little is known about whether digital financial literacy (DFL) is associated with how individuals form such expectations across different forecasting horizons. This study examines the association between DFL and inflation expectations at the one-, three-, and five-year horizons using a large-scale online survey of more than 150,000 Japanese investors. DFL is measured as a multidimensional construct capturing digital and financial knowledge, awareness and use of digital financial services, financial attitudes and behaviors, and self-protection capabilities. Ordered probit models are employed to estimate the association between DFL and horizon-specific inflation expectations while controlling for demographic, socioeconomic, and behavioral characteristics. The results indicate a clear horizon-dependent pattern. Higher DFL is negatively associated with one-year-ahead inflation expectations but positively associated with inflation expectations at the three- and five-year horizons. Marginal-effects estimates indicate that higher DFL shifts the short-run distribution toward lower inflation categories, but shifts the medium- and long-run distributions toward higher inflation categories. These findings are consistent with the possibility that individuals with higher DFL process short-term and longer-term inflation-related information differently. However, because the analysis is based on cross-sectional observational data, the results should be interpreted as conditional associations rather than causal effects.