Portfolio

  1. RESEARCHER'S INFORMATION PORTFOLIO IN THE ERA OF ARTIFICIAL INTELLIGENCE
    Analysis of how generative artificial intelligence transforms research practices, examining opportunities in data analysis and pattern recognition alongside ethical challenges.
  2. STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading
    STORM combines dual vector quantized autoencoders to extract temporal and spatial stock features, creating diverse factor embeddings for improved asset pricing and portfolio management.
  3. Network-level model detects systemic credit risk earlier
    Framework integrating graph neural networks and contagion modeling to identify systemic vulnerabilities in digital lending ecosystems months earlier than conventional monitoring systems.
  4. NIH outlines HIV research priorities through 2026
    National Institutes of Health outlines comprehensive research strategy combining implementation science, basic research, and partnerships to end HIV in the U.S. by 2030.
  5. Sports tokens showed spillover risk in connected markets
    Quantile VAR analysis reveals how sports tokens transmit and receive systemic shocks, with implications for portfolio construction and downside risk mitigation during market stress.
  6. Gender-lens fund label does not reliably predict design or performance
    Study of gender lens equity funds reveals inconsistent methodologies, limited portfolio overlap, and mixed performance compared to benchmarks.
  7. Linked environmental regulation outperformed unlinked and untargeted regulation in Texas
    Study examines dynamic linked environmental regulation in Texas, showing violations at one facility increase enforcement scrutiny across a firm's portfolio, improving enforcement efficiency.
  8. Intermedial interference shapes audiovisual composition
    Practice-based research investigating intermedial interference in electroacoustic audiovisual composition, proposing compositional methodologies and theoretical frameworks for sound-image integration.
  9. Value pluralism supports conservation portfolio approaches
    Value pluralism provides ethical justification for portfolio approaches in conservation by recognizing diverse ecosystem values and supporting inclusive, diversified conservation strategies.
  10. Cabinet policy orientation and capital inflows in OECD countries
    Cabinet policy orientation and gross capital inflows in OECD countries. Transitions to market-oriented cabinets boost direct investment; reform efficacy varies by ideology.
  11. UAE-specific crises produced negative firm returns; global crises often positive
    Study examines how global and domestic crises impact UAE financial markets using STL decomposition, revealing asymmetric responses across firm characteristics and event categories.
  12. Market-capitalization regret variables predict future stock returns
    Study reveals market capitalization as a key psychological reference point for investor regret, with stronger predictive power for stock returns than traditional return-based regret measures in.
  13. Preventive health spending is linked to longevity and financial choices
    Framework integrating preventive health spending and portfolio optimization to maximize lifetime utility, showing how health investments reduce mortality risk and interact with wealth decisions.
  14. Optimal portfolio proportions were computed for Nifty 50 stocks
    Empirical study constructing optimal portfolios using Sharpe's Single Index Model on NIFTY 50 stocks, analyzing risk-return characteristics and optimal investment allocations.
  15. Abstract describes a waste management education study
    Automated portfolio system transforms educational assessment aligned with NEP 2020, improving waste management knowledge retention among women through technology-enabled learning progression tracking.
  16. Unpacking Rising Inequality: The Roles of Markups, Taxes, and Asset Prices
    Analyze rising inequality in France through markups, taxes, and asset prices using heterogeneous-agent modeling to decompose drivers of income and wealth concentration.