Financial Markets and Investment Strategies

External reference: https://openalex.org/T10047

  1. Market greenness predicts liquidity shocks
    Market greenness predicts liquidity shocks tied to ESG investor preferences, and ESG-related liquidity better explains stock returns than standard measures during 2015-2019.
  2. Liquidity shocks spill over to related corporate bond peers
    Analysis of liquidity spillover in corporate bond markets following rating downgrades, showing contagion through information learning across related securities.
  3. Geopolitical risk affects stock markets differently by regime
    Study reveals geopolitical risk impacts stock returns asymmetrically: negatively in bullish markets, positively in downturns. Emerging markets may hedge geopolitical shocks.
  4. Integrated ACD models can imply infinite-mean durations
    Asymptotic theory for integrated autoregressive conditional duration models reveals infinite-mean trading intervals in cryptocurrency ETFs, requiring new inference methods.
  5. Price bubbles found in most examined DeFi and NFT assets
    Analysis of speculative bubbles in DeFi and NFT markets using GSADF testing reveals bubble presence in eight of nine examined blockchain assets.
  6. 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.
  7. 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.
  8. Geopolitical risk is linked to lower stock returns in Vietnam
    Study analyzes geopolitical risk's negative impact on stock returns in Vietnam's emerging market, finding that firms sensitive to political uncertainty demand higher expected returns.
  9. RNN-based distortion models improved CAT bond pricing
    Catastrophe bond pricing framework combining distortion operator theory with recurrent neural networks, capturing discontinuous repricing and tail-risk compensation.
  10. 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.
  11. Stock splits and reverse splits had opposite return effects in Indonesia
    Event study analysis shows stock splits boost returns on Indonesian exchanges while reverse splits trigger negative reactions, reflecting divergent investor signals in emerging markets.
  12. Trusted contact adoption remains low among eligible investors
    Study of retail investor compliance with FINRA trusted contact rule using national financial capability data, showing literacy and social trust as key determinants.
  13. Brexit sentiment was linked to weaker UK markets
    Analysis of social media sentiment regarding Brexit and its significant negative impacts on GBP exchange rates and FTSE-100 performance using time-series sentiment analysis methods.
  14. 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.
  15. 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.
  16. 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.
  17. Spline-based score-driven models allow flexible time-varying parameters
    Score-driven time-varying parameter model using spline-based densities without parametric assumptions, with applications to inflation and volatility filtering.
  18. Liquidity-trap spillovers differ sharply across asset-supply shocks
    Examine how asset market shocks transmit across borders differently in liquidity traps versus normal times, using a heterogeneous-agent framework with financial frictions.
  19. A Decade of SEBI Prohibition of Insider Trading Regulation 2015, Reform: Uncertainty and Capacity
    Critical analysis of SEBI's 2015 insider trading regulation across its first decade, examining enforcement challenges, judicial precedents, and capacity constraints.
  20. Asymptotic theory of range-based multipower variation
    Realized range-based multipower variation theory for jump-robust volatility estimation in sparse high-frequency asset price data with microstructure noise considerations.