1780 papers
This paper proposes a theoretical framework modeling the financial system as a complex adaptive network where financial engineering functions as an endogenous layer that creates a micro-macro wedge, allowing individual risk reduction to inadvertently amplify systemic vulnerabilities, thereby offering new insights into resilience, policy, and sustainability.
Using a Bayesian state-space framework to analyze Peru's quarterly per capita GDP from 1980 to 2019, this study finds that while permanent shocks dominated output fluctuations in both the pre- and post-1990s reform periods, the post-reform era is characterized by a stabilized trend, increased persistence of temporary shocks, and a significant shift in shock correlations from positive to negative, suggesting greater macroeconomic stability following liberalization.
This paper presents a formal economic model and large-scale synthetic experiments demonstrating that optimal tax auditing triage allocates scarce human inspection capacity based on the combined incremental value of evidence generation and superior recovery procedures, yielding welfare gains significantly higher than risk-only or uncertainty-first allocation strategies while accounting for complex factors like error dependence and behavioral deterrence.
This paper bridges classical portfolio theory with modern computational intelligence by systematically integrating machine learning algorithms and advanced allocation frameworks to enhance predictive accuracy and risk-adjusted performance in volatile markets.
This study employs GARCH-family models on high-frequency data from 2015 to 2026 to analyze how domestic monetary policy, exchange rates, capital flows, and global uncertainty drive NIFTY 50 volatility across distinct economic regimes, including the pre-pandemic era, the COVID-19 shock, global monetary tightening, and recent geopolitical developments.
Using Propensity Score Matching on World Bank Global Findex 2021 data, this study reveals that the relationship between saving participation and financial inclusion in East Africa is predominantly unidirectional and country-specific, with significant effects observed only in Uganda (borrowing driving saving), Kenya (saving driving borrowing and internet access, while digital payments drive saving), and Tanzania (no significant post-matching relationships), thereby challenging the assumption of generalized bidirectional causality.
This study employs Monte Carlo simulations and OLS regression on 74 residential projects in Greater Valparaíso, Chile, to demonstrate that higher land costs, specific regulatory constraints like minimum lot sizes, and greater distance from the coastline significantly reduce expected profitability in housing development.
This paper employs a four-party Stackelberg game model to analyze how indirect network effects, peer effects, and psychological costs influence optimal government subsidy strategies for drone food delivery, revealing that the most effective subsidy targets and intensity depend on the relative strength of these externalities and psychological thresholds.
This paper employs an agent-based model to demonstrate that adaptive risk-taking heuristics, which adjust variance based on an agent's proximity to a selection threshold, significantly outperform fixed risk strategies in competitive environments, particularly when agents are positioned just below the cutoff.
This study empirically demonstrates that China's "AI Innovation and Application Pilot Zone" policy significantly drives corporate green transformation through mechanisms like improved resource allocation and green innovation, with effects varying across firm characteristics and serving as a robust foundation for future AI-driven green growth policies.