1073 papers
This paper finds that equity markets do not currently price the risk of AI vendor concentration because mandatory disclosure rules are absent, leading to inconsistent and often missing information in public filings that prevents investors from distinguishing between firms that rent versus those that own their AI models.
This study analyzes panel data from 15 Ethiopian commercial banks (2012–2022) to reveal that credit risk and operational inefficiency significantly impair financial performance (ROA and ROE), while capitalization and bank size exhibit mixed effects, underscoring the need for stricter credit appraisal, cost efficiency, and optimal capital management.
This paper proposes a hybrid graph machine learning framework that integrates dynamic stock correlation networks with Transformers to enhance portfolio optimization by leveraging multiscale topological dependencies, resulting in improved risk-adjusted returns and interpretable allocation signals across both Chinese and American markets.
Using firm-level data from 1,435 Brazilian industrial enterprises, this study demonstrates that the innovation benefits of digitalization emerge only when firms adopt a comprehensive, complementary portfolio of six advanced technologies rather than isolated tools, suggesting that systemic digital transformation is a more stable strategic commitment than piecemeal adoption.
This paper employs an evolutionary game-theoretic model to demonstrate how truthful but selectively visible, aspirational outcomes in matching markets distort agents' perceptions of attainability, leading to excessive high-target search, reduced commitment, and a decline in durable match formation despite individual adaptiveness.
This study explores a statistical suppression pattern in survey data from Turkish CPAs, suggesting that while perceived tax-audit importance positively influences views on system effectiveness and fairness, the CPAs' perceived professional role acts as a suppressor variable, leading to the proposal of a "professional intermediation paradox" as a non-causal interpretive framework for future research.
Using data from the Future of Families and Child Wellbeing Study, this paper finds that a more generous Earned Income Tax Credit (EITC) is associated with increased informal cash and in-kind support from nonresident fathers who live with other children, suggesting positive spillover effects that support expanding EITC eligibility to nonresident parents.
This paper demonstrates that an empirically-grounded endogenous macroeconomic model, driven by financial factors and intertemporal consumption smoothing, outperforms traditional RBC and DSGE-NK models in capturing the complex business cycle and trend dynamics of developed economies by naturally replicating key statistical features like fat tails and autocorrelation without relying on excessive exogenous error terms.
This paper presents a replicable Green Budgeting Framework that utilizes national appropriations data to demonstrate how a Philippine state university achieved absolute decoupling of expenditure growth from carbon emissions, offering a scalable methodology for developing-country institutions to audit and advance sustainability finance.
This paper demonstrates that integrating socioeconomic drivers and capital accumulation dynamics into climate-economy models reveals that macroeconomic feedbacks can amplify climate change damages by 25–50% globally (and up to 80% in some regions), significantly altering total economic losses and their regional distribution beyond what direct damage functions predict.