Financial Literacy Research Roundup: September 21, 2026

This article provides an overview of the literature on financial literacy. It covers the initial measurement that created the Big Three questions and measures of personal finance knowledge featuring 28 questions. It shows that levels of financial literacy are low and have not been improving over time. This is true not only in the United States but also in countries worldwide. These findings matter because financial literacy is conducive to savvy financial behaviors, from holding precautionary savings to planning for retirement to many other financial decisions. Financial education programs have grown exponentially over time, providing important insights into their cost-effectiveness. Personal finance courses have been added to high school and college curricula, and the evidence indicates that they are useful initiatives to improve financial knowledge and downstream behavior.

We design a novel survey to study how education shapes households' joint beliefs about inflation, unemployment, and monetary policy transmission. College-educated respondents perceive the inflation-unemployment trade-off and hold views similar to professional forecasters, while less educated respondents favor supply-side narratives. When exposed to hypothetical monetary policy interventions, the more educated update expectations and adjust consumption and saving in line with standard models, whereas the less educated display greater rigidity. This education gradient persists after controlling for information sources, financial literacy, and institutional trust, pointing to differences in abstract reasoning. Open-ended responses are consistent with college-educated households holding mental models aligned with standard macroeconomic theory.

In the dynamic and frequently under-researched domain of emerging financial markets, this research rigorously analyzes the influence of behavioral biases and financial literacy on the multifaceted aspects of investment decision-making among individual investors in Morocco. The central aim is to investigate bivariate correlations between eleven behavioral biases categorized across cognitive, emotional, and mental/social dimensions and the three dimensions of investment decision-making: intuition, perceived rationality, and overall satisfaction.The research adopts a distinctly exploratory design that is firmly situated within a quantitative, hypothetico-deductive paradigm. The sample comprises 411 individual investors who are actively involved in the Casablanca Stock Exchange, selected through a self-administered online questionnaire that was distributed between January and March 2025. The analysis of data was performed utilizing SPSS (version 30), employing non-parametric statistical methodologies, particularly Spearman's rank correlation coefficient, as a result of the non-normality of the variable distributions, which was substantiated by the Kolmogorov–Smirnov test.The findings underscore that specific behavioral constructs such as optimism, mental accounting, and financial literacy exert a constructive impact on all three facets of decision-making, characterized by consistently robust and affirmative correlations. Conversely, various biases including anchoring, representativeness, availability heuristic, and gambler's fallacy exhibit significant adverse associations, particularly influencing perceived rationality and overall satisfaction. Regret aversion emerges as a complex bias, revealing a dualistic nature with a notably positive correlation with satisfaction.Inspite of the methodological limitations related to the application of convenience sampling and a cross-sectional methodology, the research yields considerable theoretical contributions by clarifying the intricate relationships between behavioral biases and cognitive processes relevant to investment. Furthermore, it articulates concrete practical ramifications, particularly the imperative to augment investor cognizance regarding financial literacy and the psychological mechanisms that may compromise the integrity of decision-making quality.The uniqueness of this investigation is attributed to the concurrent and multifaceted evaluation of behavioral biases, the implementation of an exploratory framework reliant on primary data sources, and its empirical foundation in a relatively understudied emerging market. These characteristics confer both scholarly and contextual relevance to the research, thereby facilitating subsequent inquiries into the behavioral dynamics associated with financial decision-making within Morocco and analogous economies.

We extend a residual-learning hybrid credit scoring framework (logistic regression scorecard plus a gradient-boosting correction on its residuals, decomposed at each prediction into an interpretability ratio $\rho(x)$ that measures the share attributable to the linear branch) along three axes: an East African empirical instantiation on the Zindi Financial Inclusion in Africa data (Kenya, Rwanda, Tanzania, Uganda); a fairness audit at the granularity of the framework's three interpretability regions; and a thin-file segmentation analysis. On the Taiwan Credit Default benchmark retained for continuity, the calibrated hybrid attains AUC $= 0.776$ ($\Delta\mathrm{AUC} = +0.057$ vs.\ standalone logistic regression, $+0.001$ vs.\ standalone XGBoost), reduces Brier Score by 23\%, and concentrates the highest-default-rate borrowers (69.5\%) in the fully interpretable region. On Zindi, the calibrated hybrid attains AUC $= 0.869$ ($\Delta\mathrm{AUC} = +0.015$ vs.\ LR, $p