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Results for “Stock Market, Equity Market”

30 findings

66match

Finding 63331 source

The research suggests that OVI can predict future equity returns, especially for Market Makers. Potential applications include trading strategies and market analysis. Future research could explore intraday analysis and the interplay between option and stock volumes.

LexicalMeaningQualityGraph

Matched: equity, market, stock

66match

Finding 30481 source

Researchers unveil a breakthrough study employing Bayesian networks for stock market forecasting, introducing three novel models and highlighting a holistic approach that outperforms traditional methods using diverse daily financial data.

LexicalMeaningQualityGraph

Matched: equity, market, stock

65match

Finding 30491 source

Utilizing global daily data from stock indices, commodities, volatility indices, and cryptocurrencies, the study remarkably rigorously evaluates models against seven key criteria, ensuring interpretability and flexibility for innovative financial forecasting.

LexicalMeaningQualityGraph

Matched: equity, market, stock

65match

Finding 46851 source

The paper bridges geopolitical risk, including trade wars underexplored so far, to future stock market returns. Its innovative methodology, building a comprehensive Geopolitical Risk Index using textual analysis, challenges risk measures. This fresh perspective and approach make it a compelling, original, and significant contribution to equity and quantitative finance research.

LexicalMeaningQualityGraph

Matched: equity, market, stock

65match

Finding 27941 source

The study highlights the potential of sentiment scores in predicting market behavior and suggests future research on systematic NLP-based investment strategies. Potential applications include enhanced investment decisions and optimized risk management.

LexicalMeaningQualityGraph

Matched: equity, market, stock

65match

Finding 52671 source

This paper innovatively fuses large language models with equity market analysis, synthesizing and categorizing research trends into a dual framework. Its novelty lies in bridging AI with quantitative finance, offering fresh perspectives for professionals despite its review nature. The work remains engaging, relevant, and valuable for practitioners seeking market insights.

LexicalMeaningQualityGraph

Matched: equity, market, stock

65match

Finding 83541 source

This paper explores US statelevel stock returns and volatility interconnectedness using an innovative methodology that prefilters common factors and employs Lasso regularization within $\text{VAR}$ models. Its approach skillfully avoids spillover overestimation, offering fresh, compelling insights and a unique, original perspective that enriches equity market research. Ultimately advancing financial market understanding.

LexicalMeaningQualityGraph

Matched: equity, market, stock

65match

Finding 52651 source

Researchers integrate qualitative news insights by converting them into numerical signals, powering stock trend prediction through frameworks like Ploutos, StockTime, and benchmarks such as InvestorBench, despite scalability and interpretability challenges.

LexicalMeaningQualityGraph

Matched: equity, market, stock

65match

Finding 30501 source

Surprisingly, the holistic Bayesian network model excels in forecasting both single and multiple interconnected outputs, reshaping investor decision support, despite challenges in scalability and adapting predictions to real-time market fluctuations.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 46831 source

The study uncovers that trade war events independently predict stock market returns, expanding research by blending traditional indices with innovative, comprehensive dictionary-based methodologies for a refined measurement of geopolitical uncertainty.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 69111 source

The study reveals deep interconnections between oil prices and stock markets, employing innovative quantile methods to uncover demand-driven shocks that serve as strong short-term safe havens during bearish market conditions.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 32101 source

Researchers introduce the Customer-Supplier Momentum (CSMOM) factor, using advanced network analysis and equity penetration to map supply chains. CSMOM robustly predicts future returns and profitability, even through indirect and less visible connections.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 77981 source

This paper uniquely examines how daily public disclosure of foreign investor positions in Chinas retail-driven stock market induces herding, amplifies market distortions, and impacts firm investment efficiency. Leveraging novel GUBA sentiment data and the Stock-Connect reform context, it offers original empirical insights into disclosures real economic consequences, enriching market liberalization literature.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 32091 source

Momentum in stock returns and company performance cascades through customer-supplier networks in China, with supplier stocks rising after customer successespecially when investors overlook these complex links, revealing a surprising market dynamic.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 32111 source

While the studys innovative dataset and methods offer new tools for academics and practitioners, findings are limited to Chinese listed firms and may not capture all global or economic network complexities.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 29431 source

Introduces labor market event risk, a definition for sudden rare earnings shocks bridging labor economics and finance; calibrated against administrative data to match equity premium dynamics, relying on calibration assumptions.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 52641 source

Survey reveals LLMs rapidly reshape equity markets by blending structured and unstructured data, enhancing prediction accuracy and decision-making through innovative quantitative methods combined with prompting, fine-tuning, reinforcement learning, and systems.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 66411 source

Analysis shows equal-weighted momentum portfolios in India's equity arena beat the NIFTY 50 by delivering superior risk-adjusted returns, as winner portfolios excel while exponential weighting amplifies gains amid higher volatility.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 66421 source

Methodologically, the study employs historical Yahoo Finance API data and metricsincluding cumulative and volatility-normalized risk-adjusted returnsrevealing that three-month formation periods capture recent trends effectively, despite varying performance across market conditions.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 29441 source

This paper pioneers linking time-varying idiosyncratic labor-market tail risks with equity premiums using a heterogeneous-agent asset pricing framework. It offers novel quantitative calibration to administrative earnings data and empirically ties evolving labor disasters to unemployment claims. By extending rare-disaster literature, its fresh perspective deepens predictive equity research with empirical relevance.

LexicalMeaningQualityGraph

Matched: equity, market, stock

64match

Finding 71881 source

Listed private equity trades like high-octane public equity: FPEIs 20-year annual data to June 30, 2025 show $\beta\approx1.6$, $\alpha$ 2% to 6% (not significant), and sustained market linkage $R^2\sim88$--$91%$, overall.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 79311 source

The paper innovatively extends the classic $\text{Modigliani-Miller}$ framework by incorporating trading frictions and managerial incentives, providing fresh insights on firm value determination. Its equilibrium-based comparison of dividends and share buybacks offers a novel perspective that is both relevant and compelling for researchers in stock, equity, and quantitative finance, academically influential.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 32121 source

This paper introduces a novel customer-supplier momentum (CSMOM) factor using a unique Chinese supply chain dataset, mapping both direct and indirect equity relationships. Its originality lies in empirically revealing cascading momentum spillovers and linking them to investor inattention, offering fresh insights into network-based return predictability and behavioral finance in quantitative markets.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 29421 source

Major contribution Schmidt integrates time-varying probabilities of individual earnings disasters into an asset pricing model, showing stock returns inform on labor risk and that unemployment initial claims predict future returns.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 30511 source

Integrating Bayesian networks with a multi-output forecasting framework, the paper spans diverse asset classes---stock indices, commodities, and cryptocurrencies---yielding comprehensive financial market insights through holistic evaluation. Although leveraging established Bayesian techniques, its novel combination of multiple outputs enhances flexibility and relevance, offering practitioners and researchers a compelling and methodologically sound approach.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 29411 source

Households face large countercyclical idiosyncratic tail risks; rare severe income drops during downturns; these alone explain the high, persistent equity premium in robust models with recursive preferences and incomplete markets.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 66431 source

Comparative evaluation highlights that long-only strategies outperform short selling, which suffers from elevated risk, while reliance on F&O-enabled midcap stocks limits generality, notably urging further research for robust portfolio construction.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 29011 source

The launch of ChatGPT transformed stock market behavior by increasing trading volume, reducing return volatility, and enhancing liquidity and price efficiency, particularly benefiting larger, older firms with abundant public information.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 78531 source

The study concludes that global financial crises significantly impact stock market volatility in both advanced and emerging economies. The findings are crucial for investors and policymakers to develop strategies for managing risk and optimizing returns. Future research should explore additional factors and more countries.

LexicalMeaningQualityGraph

Matched: equity, market, stock

63match

Finding 69131 source

The analysis also distinguishes market connectedness, revealing that developed market equities such as those in the US, France, and Germany transmit more shocks, while developing markets act as net receivers.

LexicalMeaningQualityGraph

Matched: equity, market, stock