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Asset Pricing & Factors

Factor models, anomalies, the cross-section of returns and what survives publication.

Papers featured
312
Last 12 months
79
Cited 100+
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SSRN

Featured per quarter

The last four quarters are highlighted.

2023 Q2: 92023 Q3: 242023 Q4: 232024 Q1: 352024 Q2: 242024 Q3: 252024 Q4: 222025 Q1: 312025 Q2: 312025 Q3: 52025 Q4: 82026 Q1: 02026 Q2: 02026 Q3: 122026 Q4: 63
2023 Q2Peak 63 in 2026 Q42026 Q4

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Most cited

Featured papers in this topic with the most citations today.

  1. 8 Nov 2023

    Bubble economics

    Nonstationary Phenomenon: The article discusses the theory of rational asset price bubbles, highlighting that bubbles linked to real assets like stocks and housing are nonstationary phenomena tied to unbalanced growth.

    arXivIn Journal of Mathematical Economics

    45cites
  2. 10 Sep 2024

    NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks

    A Synthetic Mobility Dataset: The paper presents NUMOSIM, a synthetic mobility dataset for testing anomaly detection techniques, simulating realistic mobility scenarios and anomalies to improve geospatial mobility analysis.

    Machine learningIn Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection

    24cites
  3. 6 Mar 2024

    In Search of the True Greenium

    The study introduces a robust green score and expected returns to calculate the greenium, the expected return of green securities compared to brown, which is found to be more negative in greener countries and over time.

    SSRN

    21cites
  4. 2 Aug 2023

    Leverage, Endogenous Unbalanced Growth, and Asset Price Bubbles

    The paper introduces a new theoretical framework to understand asset price bubbles in dividend-paying assets, examining a macro-finance model with a positive feedback loop between capital investment and land price.

    arXiv

    10cites
  5. 7 Jun 2023

    HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE

    HireVAE is a deep learning-based model that outperforms previous methods in terms of active returns in stock market benchmarks.

    arXivIn International Joint Conference on Artificial Intelligence

    9cites
  6. 3 Jan 2024

    Exploratory Control with Tsallis Entropy for Latent Factor Models

    The research uses Tsallis Entropy in models with latent factors to optimally control and explore the state space, proving that the optimal state distribution is q-Gaussian, which can be used in creating robust statistical arbitrage trading strategies.

    arXivIn SIAM J. Financial Math.

    8cites
  7. 19 Dec 2025

    The Cross-Section of Factor Returns

    Most of the 150 equity factors examined show positive returns but fail to deliver excess returns after accounting for risk, especially in downturns.

    SSRNFeatured 2×

    7cites
  8. 10 Jul 2024

    When can weak latent factors be statistically inferred?

    The article introduces a new theory for principal component analysis (PCA) under the weak factor model. This theory accounts for cross-sectional dependent components and provides finite-sample characterizations for estimation error and statistical inference uncertainty level, improving upon previous research.

    arXivFeatured 2×

    7cites
  9. 24 Aug 2023

    Network Momentum across Asset Classes

    The article discusses network momentum, a trading signal from asset momentum spillover, and its use in a multi-asset investment strategy that yielded a 22% annual return from 2000 to 2022.

    arXiv

    6cites
  10. 1 Jun 2023

    Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models

    A methodology for detecting lead-lag relationships in time series systems can be used for control, forecasting, or clustering, and is useful for financial markets or environmental data sets.

    arXivIn Applied Mathematical FinanceFeatured 2×

    6cites
  11. 28 Dec 2025

    Interpretable Machine Learning for Asset Pricing

    The paper utilizes deep neural networks to more accurately estimate equity risk premia over time, enhancing the interpretability of machine learning in economics.

    SSRNFeatured 2×

    5cites
  12. 27 Oct 2025

    Are Penalty Shootouts Better Than a Coin Toss? Evidence From International Club Football in Europe

    Using UEFA penalty shootout data (2000–2025) we find outcomes are essentially random—no measurable advantage from kicking order, venue, momentum, or team strength.

    arXivIn Journal of Sports Economics

    5cites

Latest

  1. 6 Nov 2026

    The Cryptocurrency Trend Factor Revisited: Predictive Information, Portfolio Construction, and Pricing Claims

    A code audit of the cryptocurrency trend factor reveals that after correcting for future-information use and technical-indicator issues, the factor's alpha becomes statistically insignificant and cannot replace momentum.

    arXiv

    3fanfare
  2. 6 Nov 2026

    PanelGP: A Probabilistic Factor Model for Asset-Return Panels

    A Gaussian-process factor model with nonlinear loadings estimated from firm characteristics improves stock ranking and portfolio Sharpe ratios over linear alternatives on S&P 500 data.

    arXiv

    3fanfare
  3. 6 Nov 2026

    Predicting Factor Decay: ML Models for Cross-Factor Predictability Erosion

    Machine learning models predict when cross-factor predictability will erode, achieving high C-index on held-out pairs and finding that stronger signals decay faster.

    arXiv

    2fanfare
  4. 6 Nov 2026

    Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model

    A two-step LASSO-based method selects variables and model specification jointly in high dimensions, with oracle properties; applied to characteristics-based pricing, it reveals linear and nonlinear effects and interactions with firm size.

    arXiv

    2fanfare
  5. 6 Nov 2026

    Time-Series Momentum in the ETF Era: Decay of the Long-Short Premium and the Case for Long-Only, Volatility-Targeted Trend Allocation

    The classic TSMOM long-short premium has decayed to a zero net Sharpe, but a long-only volatility-targeted version across multiple horizons earns 0.58 with strong crisis protection.

    SSRN

    3fanfare
  6. 6 Nov 2026

    Investing in Data Capital

    Measuring data investment from earnings calls, the research shows data capital's share of investment reached about one-eighth in 2025 and commands a market premium of 12 dollars per dollar invested.

    SSRN

    3fanfare
  7. 6 Nov 2026

    Not All Beats Are Equal: Anchoring on the Nominal Earnings Surprise

    Shows that stock returns respond more to the same percentage surprise when reported earnings are larger in cents, consistent with anchoring on nominal rather than percentage earnings beats.

    SSRN

    3fanfare
  8. 6 Nov 2026

    The Impact of Central Bank Stock Purchases: Evidence from Discontinuities in Policy Rules

    Using policy-rule discontinuities, the study finds BOJ stock purchases raise long-term rates but lift prices only after yield curve control pegged rates at zero.

    RePEc

    3fanfare
  9. 6 Nov 2026

    Commercial Real Estate Uncertainty

    A new uncertainty index for commercial real estate predicts prices and construction spending and accounts for 46 percent of spending forecast errors, outperforming existing uncertainty measures.

    RePEc

    2fanfare
  10. 30 Oct 2026

    What Language Models Add to Healthcare-Equity Rankings, and What They Could Have Known

    Language models improve one-year stock rankings for healthcare firms by 48%, especially when scientific texts cover trials or regulatory records, but contribute less at other horizons.

    arXiv

    3fanfare
  11. 30 Oct 2026

    Macroeconomic Risk and the Equity Premium

    The research identifies trend-growth risk as the largest component of the equity risk premium through persistent shocks in a structural VAR, with implications depending on whether yield changes come from monetary or fiscal sources.

    SSRN

    3fanfare
  12. 30 Oct 2026

    The State-Dependent Pricing of Panic Risk: Evidence from China's Stock Market

    A real-time panic index combining price stress, investor holdings and drawdown pain reveals that exposure to panic innovations carries a negative return premium, larger during high-panic periods and persistent for weeks.

    SSRN

    3fanfare
  13. 30 Oct 2026

    Common Ownership Around the World

    Study of 49 economies finds common ownership roughly doubled or tripled since 2005, concentrated in large firms and increasingly driven by the Big Three asset managers globally.

    SSRN

    3fanfare
  14. 30 Oct 2026

    Stagflation and Asset Management

    Classifying 107 years of data into real-time inflation and growth states, the study finds sixty-forty portfolios earn negative real returns in both overheating and stagflation conditions.

    SSRN

    3fanfare
  15. 30 Oct 2026

    Taming the VAR

    A VAR that groups 25 predictors by persistence into three composite state variables recovers stable estimates of discount-rate and cash-flow news without specification dependence.

    SSRN

    2fanfare
  16. 30 Oct 2026

    Does the EU ETS cause carbon leakage? A global supply-chain perspective

    Causal evidence shows the EU emissions scheme drives an 8% rise in intermediate-goods imports from non-regulated countries, with 11% higher embodied carbon in manufacturing.

    RePEc

    3fanfare
  17. 30 Oct 2026

    Carbon Neutrality Commitment Announcements and Subsequent Stock Returns

    Market analysis of 887 carbon neutrality announcements reveals statistically significant negative abnormal returns over 12 months, suggesting investors view pledges as signals of future cost burdens.

    RePEc

    2fanfare
  18. 30 Oct 2026

    Ratings, Debt, and Deficits: An Exploration

    Sovereign credit ratings overweight debt relative to primary balances, understate the role of growth, and exhibit large unexplained country-specific effects.

    RePEc

    2fanfare
  19. 30 Oct 2026

    Chasing El Dorado: gold under shifting geopolitical and financial conditions

    Geopolitical risks increase gold returns more strongly during loose financial conditions via credit and liquidity channels, with the largest impact in 2024–26.

    RePEc

    2fanfare
  20. 23 Oct 2026

    Amortized Neural Filtering for Calibrated Posteriors in Statistical Arbitrage

    A neural filter estimates posterior uncertainty over spread states and uses it to size positions, cutting the gap between forecasted and realized returns by two to eight times on Korean equities.

    arXiv

    0cites
  21. 23 Oct 2026

    Conflicting History in Foundation Model Return Forecasts

    Older observations that conflict with recent data reduce foundation models' probability of beating zero across all tested procedures, distinguishing signal extraction from conflicting-history resistance.

    arXiv

    0cites
  22. 23 Oct 2026

    The Options-Implied Information Content for Cross-Asset Return and Volatility Prediction: Evidence from 3.8 Billion Option Contracts

    Using 3.8 billion option contracts, the study finds implied kurtosis predicts five-day returns with 2.33 Sharpe ratio and improves volatility forecasting by 23.3 percent.

    SSRN

    4fanfare
  23. 23 Oct 2026

    The Price of Systemic Liquidity Risk: An Intertemporal Theory of Financial Fragility and Cross-Sectional Returns

    An intertemporal model shows that bank maturity transformation creates priced systemic risk where high liquidity-beta assets underperform by six to seventeen percent quarterly during stress.

    SSRN

    3fanfare
  24. 23 Oct 2026

    Running Hot: Industrial Emissions and the Equity Premium

    When U.S. industry runs hot measured by carbon emissions, expected market returns fall 4.2 percentage points the next year, forecasting returns up to five years ahead.

    SSRN

    3fanfare
  25. 23 Oct 2026

    Asset Pricing with Cumulants

    Log expected excess returns decompose exactly into joint cumulants of returns and the stochastic discount factor, explaining thirty-one anomaly factors with three structural parameters.

    SSRN

    3fanfare
  26. 23 Oct 2026

    Intraday Volatility Transmission Across Asset Classes: A Connectedness Analysis of Equities, Foreign Exchange, Commodities, and Cryptocurrencies

    Analysis of ten instruments finds U.S. equity futures are net transmitters of volatility shocks while cryptocurrencies became net receivers in 2024-2026, with total connectedness peaking in 2025.

    SSRN

    2fanfare
  27. 23 Oct 2026

    Human Capital in Venture Capital: Evidence From 100, 000 Venture Capitalists

    Over 100,000 VC professionals show extreme concentration: 5% generate 90% of profits, with superstar status increasing access to high-quality deal flow.

    RePEc

    4fanfare
  28. 23 Oct 2026

    From Importer to Exporter: Oil Shocks and the U.S. Economy

    The shale revolution shifted how oil supply shocks affect the U.S. economy: contractionary effects weakened and became expansionary as the nation transitioned to net petroleum exporter.

    RePEc

    3fanfare
  29. 23 Oct 2026

    Inflation narratives and risk premia

    Inflation risk premia move inversely with demand-versus-supply narratives extracted from financial news, consistent with asset pricing theory across euro area and U.S. maturities.

    RePEc

    3fanfare
  30. 23 Oct 2026

    When Diversification Fades: a Firm Level Perspective of Stock and Corporate Bond Correlations

    A matched-issuer study finds euro-area stock-bond correlations have trended toward zero since 2009, with discount rates driving co-movement but financial stress effects weakening in high-inflation periods.

    RePEc

    2fanfare

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