1780 papers
This study proposes a hybrid static-dynamic framework that integrates community detection with a non-linear, multi-path risk coupling model to simulate and quantify the propagation of complex contagion, including AI-associated risks, from local shocks to global cascades within financial networks.
This paper demonstrates that ranking Uniswap v3 liquidity pools by fee APR is a misleading metric that inversely correlates with realized net profitability, as it fails to account for loss-versus-rebalancing (LVR) and gas costs, resulting in significant negative returns for strategies based on this ranking.
This article utilizes event-level data and difference-in-differences models to demonstrate that Colombia's bilateral ceasefires with major armed groups between 2023 and 2025 successfully reduced state-based violence by 86–94%. The findings show no detectable displacement of lethal attacks toward rival armed groups, though the evidence regarding potential shifts toward civilians remains inconclusive, neither confirming nor ruling out such substitution.
This study evaluates the efficacy of integrating structural break detection with Markov-switching models for forecasting Asia-Pacific equity markets, finding that while break-aware adaptation offers selective improvements in downside-risk calibration, it does not universally outperform conventional Markov-switching benchmarks for return or volatility predictions.
This paper analyzes the distinct regulatory and customs frameworks of Singapore, the UAE, and Hong Kong to demonstrate how understanding their specific Free Trade Zone differences is essential for logistics professionals to optimize supply chain operations, ensure compliance, and manage risks effectively.
This study proposes an analytical pricing framework for quick-commerce platforms to incentivize customer patience by offering optimal slot discounts that pass through a calibrated portion of marginal cost savings, revealing that discounts should be flat across time windows, scaled by distance, and sufficient to maintain fleet utilization below 65%.
This systematic literature review synthesizes 140 studies from 1994 to 2026 to challenge the human-centric assumption of marketing by developing an integrative framework that categorizes agentic commerce through a five-level delegation ladder, a three-part influence triad, and a four-layer reference model to guide future research and measurement practices.
This paper introduces Hyperspherical Semantic Trajectory Analysis (HSTA), an unsupervised methodology that maps real-time technological diffusion and semantic evolution across academic and patent texts, revealing that while specific AI sub-topics exhibit rapid paradigm shifts, paper volume alone does not statistically predict frontier compute allocation without conditioning on physical capital constraints.
This paper argues that market saturation, rather than just technological innovation, drives long-run economic adaptation by generating price-induced non-convexity that forces firms to rely on secondary information capacity to sustain growth, thereby necessitating a policy shift toward managing institutional and monetary coordination mechanisms.
This study validates satellite-recorded nighttime light data as a robust, cost-effective proxy for estimating subnational GDP in Nigeria, revealing strong correlations with official statistics while highlighting the method's limitations in capturing agricultural and informal economic activities.