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Results for “return predictability”

30 findings

78match

Finding 25911 source

The study concludes that Bayesian methods offer significant improvements in estimating return predictability, with potential applications in financial econometrics. Future research could explore further refinements in Bayesian priors and their applications to other financial models.

LexicalMeaningQualityGraph

Matched: predictability, return

64match

Finding 28521 source

This paper explores price-based return predictability using categorical thinking and the experience effect, with stock splits as evidence. While relevant to behavioral finance, its originality and novelty appear limited, offering incremental insights. The lack of methodological detail and unique perspectives reduces its compelling impact, making its significance unclear for readers.

LexicalMeaningQualityGraph

Matched: predictability, return

63match

Finding 83211 source

U.S. data (1952--2025) reveal long-run return predictability from inflation, confirmed by EL1 and IVX. Short-horizon quantile test avoids instruments but requires i.i.d. errors; drawbacks include EL2 inefficiency and EL1 conservatism.

LexicalMeaningQualityGraph

Matched: predictability, return

63match

Finding 56891 source

The study concludes that machine learning-based MPPs offer significant improvements in portfolio predictability and performance. Potential applications include enhanced investment strategies and better risk management. Future research could explore additional machine learning models and further refine the optimization algorithms.

LexicalMeaningQualityGraph

Matched: predictability, return

63match

Finding 58231 source

Even rational traders, chasing short-term gains, can collectively create market anomalies like volatility smiles, return predictability, and pricing kernel distortionschallenging the idea that only psychological biases drive inefficiencies.

LexicalMeaningQualityGraph

Matched: predictability, return

63match

Finding 83221 source

This paper introduces a unified empirical likelihood framework for return predictability that stays valid from stationary to mildly explosive predictors, permits conditional heteroskedasticity, and handles growing long-horizon designs. It jointly covers mean and quantile regressions, relaxes intercept restrictions, and outperforms IVX/Bonferroni theory, with simulations and U.S. evidence underscoring practical impact.

LexicalMeaningQualityGraph

Matched: predictability, return

62match

Finding 28511 source

The studys innovative approach highlights the psychological side of investing, but suggests broader data across markets and time frames could strengthen findings, emphasizing the need to understand price-based grouping in asset pricing.

LexicalMeaningQualityGraph

Matched: predictability, return

62match

Finding 28491 source

New research reveals investors often categorize stocks by price, not just financial metrics, and this behaviorshaped by personal market experiencecan help predict future stock returns more accurately.

LexicalMeaningQualityGraph

Matched: predictability, return

61match

Finding 28501 source

Stock splits serve as a natural experiment, showing that when companies lower share prices, investors treat these as new categories, leading to predictable trading patterns and challenging the idea of fully rational markets.

LexicalMeaningQualityGraph

Matched: predictability, return

61match

Finding 28361 source

This paper investigates time-varying return predictability through a multi-asset time series momentum strategy, a novel approach providing insights into portfolio optimization and market predictions. Despite its skeletal description and moderate originality, the dynamic leverage of predictive signals is intriguing, offering enhancements in quantitative finance models, such as $\mu$ and $\sigma$.

LexicalMeaningQualityGraph

Matched: predictability, return

60match

Finding 36161 source

The research implies that data mining is undervalued in asset pricing, as it can uncover substantial out-of-sample returns. Future research should explore integrating data mining with economic theories to enhance predictability. Potential applications include improving investment strategies and financial modeling.

LexicalMeaningQualityGraph

Matched: predictability, return

60match

Finding 75201 source

Advanced statistical techniques, including principal components and dynamic factor analysis, reveal that risk channels are globally driven, while cashflow channels depend on a blend of local, regional, and global information, offering nuanced insights for investors.

LexicalMeaningQualityGraph

Matched: predictability, return

60match

Finding 26781 source

This paper uniquely compares analyst forecasts (PTG, EPS, LTG) to machine-learning benchmarks, revealing novel nonlinear (U-shaped) bias-return relationships and systematic anchoring on consensus. Its joint analysis across forecast types and modeling of anchoring behavior advances both academic understanding and practical trading, offering compelling, original insights beyond prior literature.

LexicalMeaningQualityGraph

Matched: predictability, return

60match

Finding 75211 source

Notably, lagged US stock returnsoften used as a global proxyfail to match the predictive power of global dividend-price ratios, while unique diversification opportunities persist in less integrated regions like the GCC and Eastern Europe.

LexicalMeaningQualityGraph

Matched: predictability, return

60match

Finding 38891 source

The research suggests that sentiment measures can enhance market return predictions by affecting the speed of price adjustments. Future research could explore larger datasets and formalize models explaining the observed asymmetries. Potential applications include improved asset allocation and market timing strategies.

LexicalMeaningQualityGraph

Matched: predictability, return

59match

Finding 75191 source

Global dividend-price ratios outperform local and regional measures in predicting future stock returns and dividend growth across 48 markets, especially in developed economies, highlighting the dominance of global economic conditions over local factors.

LexicalMeaningQualityGraph

Matched: predictability, return

59match

Finding 27951 source

The research demonstrates the value of ChatGPT in predicting stock returns, suggesting potential applications in enhancing financial decision-making and quantitative trading strategies. Future research could focus on developing more sophisticated LLMs tailored for finance.

LexicalMeaningQualityGraph

Matched: predictability, return

59match

Finding 54261 source

The study confirms that liquidity-adjusted models enhance predictability for assets with extreme liquidity, offering a robust alternative to traditional models. Potential applications include better portfolio optimization and risk management for assets with high liquidity risk.

LexicalMeaningQualityGraph

Matched: predictability, return

59match

Finding 26751 source

Financial analysts forecast biases show a U-shaped pattern: extreme optimism or pessimism predicts higher short-term returns, but in the long run, these same biases lead to lower returns.

LexicalMeaningQualityGraph

Matched: predictability, return

59match

Finding 83201 source

EL1 projects intercepts using full sample; EL2 removes them by large-lag differencing with sample splitting. Simulations show size and power; EL1 stronger, EL2 halves samples, improving robustness but reducing efficiency.

LexicalMeaningQualityGraph

Matched: predictability, return

59match

Finding 83191 source

Unified, tuning-free empirical likelihood tests stock returns in mean and quantile regressions, robust to predictor persistence, heteroskedasticity, and intercepts; reverse regression delivers chi-squared limits and sidesteps overlapping pitfalls at horizons.

LexicalMeaningQualityGraph

Matched: predictability, return

59match

Finding 75221 source

This paper innovatively applies principal components and dynamic factor analysis to dividend-price ratios across local, regional, and global markets, revealing that global ratios most strongly predict stock returns. Its novel multi-level approach surpasses traditional single-country studies, offering fresh insights into market integration, diversification, and the broader relevance for quantitative finance research.

LexicalMeaningQualityGraph

Matched: predictability, return

59match

Finding 26761 source

The study introduces innovative methods, measuring bias against machine-learning benchmarks and classifying analyst behavior as 'conformism' or 'contrarianism,' revealing analysts overwhelmingly anchor predictions to consensus and rarely challenge the crowd.

LexicalMeaningQualityGraph

Matched: predictability, return

58match

Finding 21531 source

While positive predictability is observed overall, the paper notes possible limitations depending on time frames or market conditions, underscoring the complexity and evolving risks of AIs impact on stock returns.

LexicalMeaningQualityGraph

Matched: predictability, return

58match

Finding 63311 source

The study finds this 'rollover effect' explains over half of abnormal option returns and all S&P 500 predictability, challenging behavioral bias theories, though its focus on U.S. markets may limit global applicability.

LexicalMeaningQualityGraph

Matched: predictability, return

58match

Finding 26771 source

An asset-pricing model combining consensus anchoring and positively skewed stock shocks explains analysts underreaction to new information, but further research is needed on why some analysts break consensus and international applicability.

LexicalMeaningQualityGraph

Matched: predictability, return

58match

Finding 75951 source

The novel SER model, powered by attention mechanisms and knowledge graphs, achieved an impressive annualized return of 10.93% and a Sharpe ratio of 0.78, outperforming existing text-based financial prediction benchmarks.

LexicalMeaningQualityGraph

Matched: predictability, return

58match

Finding 75941 source

Researchers reveal that large language models extracting structured event triplets from financial news dramatically boost stock return predictions, offering far greater transparency than traditional sentiment or word-embedding approaches.

LexicalMeaningQualityGraph

Matched: predictability, return

58match

Finding 58241 source

Using a dynamic binomial tree model and real option price data, the study quantifies how greed and fear impact risk premia and welfare, but notes its focus on options may oversimplify broader market complexities.

LexicalMeaningQualityGraph

Matched: predictability, return

58match

Finding 24941 source

Offers a testable, state-dependent mechanism: attention-driven information backlogs link YouTube news pressure to subsequent returns and volatility. Innovatively measures supply (video duration) and demand (views) from identical channels, resolving identification. Introduces geometric-decay backlogs with a 1--23-day predictability window, yielding aggregate-only effects, informing asset pricing and mid- to low-frequency trading practice.

LexicalMeaningQualityGraph

Matched: predictability, return