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Seth Pruitt

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Stefano Giglio & Bryan T. Kelly & Seth Pruitt, 2015. "Systemic Risk and the Macroeconomy: An Empirical Evaluation," NBER Working Papers 20963, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. The mythic quest for early warnings
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2015-04-13 17:40:01

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Nir Jaimovich & Seth Pruitt & Henry E. Siu, 2013. "The Demand for Youth: Explaining Age Differences in the Volatility of Hours," American Economic Review, American Economic Association, vol. 103(7), pages 3022-3044, December.

    Mentioned in:

    1. The Demand for Youth: Explaining Age Differences in the Volatility of Hours (AER 2013) in ReplicationWiki ()
  2. James D. Hamilton & Seth Pruitt & Scott Borger, 2011. "Estimating the Market-Perceived Monetary Policy Rule," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 1-28, July.

    Mentioned in:

    1. Estimating the Market-Perceived Monetary Policy Rule (AEJ:MA 2011) in ReplicationWiki ()

Working papers

  1. Bryan Kelly & Seth Pruitt & Yinan Su, 2018. "Characteristics Are Covariances: A Unified Model of Risk and Return," NBER Working Papers 24540, National Bureau of Economic Research, Inc.

    Cited by:

    1. Jan Sila & Michael Mark & Ladislav Kristoufek & Thomas A. Weber, 2025. "Crypto market betas: the limits of predictability and hedging," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    2. Vu Le Tran & Guillaume Coqueret, 2023. "ESG news spillovers across the value chain," Post-Print hal-04325746, HAL.
    3. Cakici, Nusret & Zaremba, Adam, 2024. "What drives stock returns across countries? Insights from machine learning models," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    4. Valentin Haddad & Tyler Muir, 2021. "Do Intermediaries Matter for Aggregate Asset Prices?," Journal of Finance, American Finance Association, vol. 76(6), pages 2719-2761, December.
    5. Baba-Yara, Fahiz & Boons, Martijn & Tamoni, Andrea, 2024. "Persistent and transitory components of firm characteristics: Implications for asset pricing," Journal of Financial Economics, Elsevier, vol. 154(C).
    6. Alexander M. Chinco & Andreas Neuhierl & Michael Weber, 2019. "Estimating The Anomaly Base Rate," NBER Working Papers 26493, National Bureau of Economic Research, Inc.
    7. Fieberg, Christian & Liedtke, Gerrit & Zaremba, Adam & Cakici, Nusret, 2025. "A factor model for the cross-section of country equity risk premia," Journal of Banking & Finance, Elsevier, vol. 171(C).
    8. Chun-I Lee & Chueh-Yung Tsao, 2024. "A comprehensive reexamination of the weather effects," Empirical Economics, Springer, vol. 66(3), pages 1333-1382, March.
    9. Christopher G. Lamoureux, 2026. "The Gibbs Posterior and Parametric Portfolio Choice," Papers 2603.02455, arXiv.org, revised Mar 2026.
    10. Yan, Jingda & Yu, Jialin, 2023. "Cross-stock momentum and factor momentum," Journal of Financial Economics, Elsevier, vol. 150(2).
    11. Amit Goyal & Alessio Saretto, 2022. "Are Equity Option Returns Abnormal? IPCA Says No," Working Papers 2214, Federal Reserve Bank of Dallas.
    12. Leippold, Markus & Wang, Qian & Zhou, Wenyu, 2022. "Machine learning in the Chinese stock market," Journal of Financial Economics, Elsevier, vol. 145(2), pages 64-82.
    13. Fabian Krause & Jan-Peter Calliess, 2024. "End-to-End Policy Learning of a Statistical Arbitrage Autoencoder Architecture," Papers 2402.08233, arXiv.org.
    14. Matthew F. Dixon & Nicholas G. Polson & Kemen Goicoechea, 2022. "Deep Partial Least Squares for Empirical Asset Pricing," Papers 2206.10014, arXiv.org.
    15. Ko, Hyungjin & Byun, Junyoung & Lee, Jaewook, 2023. "A privacy-preserving robo-advisory system with the Black-Litterman portfolio model: A new framework and insights into investor behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    16. Chen, Zhenhua & Liu, Zhenya & Teka, Hanen & Zhang, Yifan, 2022. "Smart money in China's A-share market: Evidence from big data," Research in International Business and Finance, Elsevier, vol. 61(C).
    17. Fernando Moraes & Rodrigo De-Losso, 2020. "Risk Factor Centrality and the Cross-Section of Expected Returns," Working Papers, Department of Economics 2020_17, University of São Paulo (FEA-USP).
    18. Creal, Drew & Kim, Jaeho, 2024. "Bayesian estimation of cluster covariance matrices of unknown form," Journal of Econometrics, Elsevier, vol. 241(1).
    19. Bandi, Federico M. & Chaudhuri, Shomesh E. & Lo, Andrew W. & Tamoni, Andrea, 2021. "Spectral factor models," Journal of Financial Economics, Elsevier, vol. 142(1), pages 214-238.
    20. Wolfgang Drobetz & Rebekka Haller & Christian Jasperneite & Tizian Otto, 2019. "Predictability and the cross section of expected returns: evidence from the European stock market," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 508-533, December.
    21. Cakici, Nusret & Shahzad, Syed Jawad Hussain & Będowska-Sójka, Barbara & Zaremba, Adam, 2024. "Machine learning and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    22. So-Yoon Cho & Jin-Young Kim & Kayoung Ban & Hyeng Keun Koo & Hyun-Gyoon Kim, 2025. "Diffolio: A Diffusion Model for Multivariate Probabilistic Financial Time-Series Forecasting and Portfolio Construction," Papers 2511.07014, arXiv.org, revised Mar 2026.
    23. Yuan Liao & Xinjie Ma & Andreas Neuhierl & Linda Schilling, 2025. "The Uncertainty of Machine Learning Predictions in Asset Pricing," Papers 2503.00549, arXiv.org.
    24. Alex Chinco & Samuel M. Hartzmark & Abigail B. Sussman, 2022. "A New Test of Risk Factor Relevance," Journal of Finance, American Finance Association, vol. 77(4), pages 2183-2238, August.
    25. Constantinos Kardaras & Hyeng Keun Koo & Johannes Ruf, 2022. "Estimation of growth in fund models," Papers 2208.02573, arXiv.org.
    26. Liu, Zhenya & Teka, Hanen & You, Rongyu, 2023. "Conditional autoencoder pricing model for energy commodities," Resources Policy, Elsevier, vol. 86(PA).
    27. Daniele Bianchi & Mykola Babiak, 2021. "A Factor Model for Cryptocurrency Returns," CERGE-EI Working Papers wp710, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    28. Bartram, Söhnke M. & Grinblatt, Mark, 2021. "Global market inefficiencies," Journal of Financial Economics, Elsevier, vol. 139(1), pages 234-259.
    29. Gonçalves, Andrei S. & Leonard, Gregory, 2023. "The fundamental-to-market ratio and the value premium decline," Journal of Financial Economics, Elsevier, vol. 147(2), pages 382-405.
    30. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
    31. Loïc Maréchal, 2023. "A tale of two premiums revisited," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(5), pages 580-614, May.
    32. Mykola Babiak & Jozef Barunik, 2020. "Deep Learning, Predictability, and Optimal Portfolio Returns," Papers 2009.03394, arXiv.org, revised Feb 2026.
    33. Jinghai He & Cheng Hua & Chunyang Zhou & Zeyu Zheng, 2025. "Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information," Papers 2501.17992, arXiv.org.
    34. Shi, Huai-Long & Chen, Huayi, 2024. "Understanding co-movements based on heterogeneous information associations," International Review of Financial Analysis, Elsevier, vol. 94(C).
    35. Yanchu Liu & Heyang Zhou & Xiaoqiong Li & Jianfeng Liang & Haisheng Yang, 2025. "An Instrumented Principal Component Analysis Factor Model for Chinese Equity Options Returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(5), pages 4370-4390, December.
    36. Connor, G. & Li, S. & Linton, O., 2020. "A Dynamic Semiparametric Characteristics-based Model for Optimal Portfolio Selection," Cambridge Working Papers in Economics 20103, Faculty of Economics, University of Cambridge.
    37. Ma, Tian & Leong, Wen Jun & Jiang, Fuwei, 2023. "A latent factor model for the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 87(C).
    38. Hongyi Liu, 2025. "Deep Learning for Conditional Asset Pricing Models," Papers 2509.04812, arXiv.org.
    39. Yang, Huan & Cai, Jun & Huang, Lin & Marcus, Alan J., 2024. "Credit market conditions, expected return proxies, and bank stock returns," Global Finance Journal, Elsevier, vol. 62(C).
    40. Guillaume Coqueret & Tony Guida, 2020. "Training trees on tails with applications to portfolio choice," Annals of Operations Research, Springer, vol. 288(1), pages 181-221, May.
    41. Jin Du & Alexander Walter & Maxim Ulrich, 2026. "Cross-Market Alpha: Testing Short-Term Trading Factors in the U.S. Market via Double-Selection LASSO," Papers 2601.06499, arXiv.org, revised May 2026.
    42. Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
    43. Changeun Kim & Younwoo Jeong & Bong-Gyu Jang, 2025. "Interpretable Deep Learning for Stock Returns: A Consensus-Bottleneck Asset Pricing Model," Papers 2512.16251, arXiv.org, revised Apr 2026.
    44. Cheng, Mingmian & Liao, Yuan & Yang, Xiye, 2023. "Uniform predictive inference for factor models with instrumental and idiosyncratic betas," Journal of Econometrics, Elsevier, vol. 237(2).
    45. Wolfgang Drobetz & Tizian Otto, 2021. "Empirical asset pricing via machine learning: evidence from the European stock market," Journal of Asset Management, Palgrave Macmillan, vol. 22(7), pages 507-538, December.
    46. Rubesam, Alexandre, 2022. "Machine learning portfolios with equal risk contributions: Evidence from the Brazilian market," Emerging Markets Review, Elsevier, vol. 51(PB).
    47. Alexander Arimond & Damian Borth & Andreas Hoepner & Michael Klawunn & Stefan Weisheit, 2020. "Neural Networks and Value at Risk," Papers 2005.01686, arXiv.org, revised May 2020.
    48. Cakici, Nusret & Fieberg, Christian & Metko, Daniel & Zaremba, Adam, 2023. "Machine learning goes global: Cross-sectional return predictability in international stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    49. Harvey, Campbell R. & Liu, Yan, 2021. "Lucky factors," Journal of Financial Economics, Elsevier, vol. 141(2), pages 413-435.
    50. Dapeng Li & Feiyang Pan & Jia He & Zhiwei Xu & Dandan Tu & Guoliang Fan, 2023. "Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning," Papers 2303.11716, arXiv.org.
    51. Jing Hao & Feng He & Feng Ma & Shibo Zhang & Xiaotao Zhang, 2025. "Machine learning vs deep learning in stock market investment: an international evidence," Annals of Operations Research, Springer, vol. 348(1), pages 93-115, May.
    52. Li, Jinchuan & Zhu, Yifeng, 2026. "Taming crypto anomalies: A Lasso-type factor model," Research in International Business and Finance, Elsevier, vol. 83(C).
    53. Vu Le Tran & Guillaume Coqueret, 2023. "ESG news spillovers across the value chain," Financial Management, Financial Management Association International, vol. 52(4), pages 677-710, December.
    54. Joseph Abadi, 2026. "Demand-Based Asset Pricing in General Equilibrium," Working Papers 26-12, Federal Reserve Bank of Philadelphia.
    55. Michael Hasler & Charles Martineau, 2023. "Explaining the Failure of the Unconditional CAPM with the Conditional CAPM," Management Science, INFORMS, vol. 69(3), pages 1835-1855, March.
    56. Gormsen, Niels Joachim & Jensen, Christian Skov, 2024. "Conditional risk," Journal of Financial Economics, Elsevier, vol. 162(C).
    57. De Nard, Gianluca & Zhao, Zhao, 2023. "Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 23-35.
    58. Szybisz, Martin Andres, 2019. "Interactions between Credit and Market Risk, Diversification vs Compounding effects," MPRA Paper 93173, University Library of Munich, Germany.
    59. Luyang Chen & Markus Pelger & Jason Zhu, 2019. "Deep Learning in Asset Pricing," Papers 1904.00745, arXiv.org, revised Aug 2021.
    60. Byun, Suk-Joon & Cho, Sangheum & Kim, Da-Hea, 2024. "Can a machine learn from behavioral biases? Evidence from stock return predictability of deep learning models," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    61. Huei-Wen Teng & Yu-Hsien Li, 2023. "Can deep neural networks outperform Fama-MacBeth regression and other supervised learning approaches in stock returns prediction with asset-pricing factors?," Digital Finance, Springer, vol. 5(1), pages 149-182, March.
    62. Yuxiao Jiao & Guofu Zhou & Wu Zhu & Yingzi Zhu, 2025. "Interpretable Factors of Firm Characteristics," Papers 2508.02253, arXiv.org.
    63. Jungjun Choi & Ming Yuan, 2025. "Inferential Theory for Pricing Errors with Latent Factors and Firm Characteristics," Papers 2511.03076, arXiv.org.
    64. Doron Avramov & Si Cheng & Lior Metzker, 2023. "Machine Learning vs. Economic Restrictions: Evidence from Stock Return Predictability," Management Science, INFORMS, vol. 69(5), pages 2587-2619, May.
    65. Damir Filipovi'c & Puneet Pasricha, 2022. "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Papers 2212.01048, arXiv.org, revised Mar 2026.
    66. Pedro M. Mirete-Ferrer & Alberto Garcia-Garcia & Juan Samuel Baixauli-Soler & Maria A. Prats, 2022. "A Review on Machine Learning for Asset Management," Risks, MDPI, vol. 10(4), pages 1-46, April.
    67. Branco, Rafael R. & Rubesam, Alexandre & Zevallos, Mauricio, 2024. "Forecasting realized volatility: Does anything beat linear models?," Journal of Empirical Finance, Elsevier, vol. 78(C).
    68. Yoontae Hwang & Yaxuan Kong & Stefan Zohren & Yongjae Lee, 2025. "Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization," Papers 2502.00828, arXiv.org.
    69. Tobek, Ondrej & Hronec, Martin, 2021. "Does it pay to follow anomalies research? Machine learning approach with international evidence," Journal of Financial Markets, Elsevier, vol. 56(C).
    70. Ji Cao & Marc Oliver Rieger & Lei Zhao, 2019. "Safety First, Loss Probability, and the Cross Section of Expected Stock Returns," Working Paper Series 2019-02, University of Trier, Research Group Quantitative Finance and Risk Analysis.
    71. Zefeng Chen & Darcy Pu, 2026. "Autonomous Market Intelligence: Agentic AI Nowcasting Predicts Stock Returns," Papers 2601.11958, arXiv.org.
    72. Hao Jiang & Naveen Khanna & Qian Yang & Jiayu Zhou, 2024. "The Cyber Risk Premium," Management Science, INFORMS, vol. 70(12), pages 8791-8817, December.
    73. Caio Vigo Pereira, 2020. "Portfolio Efficiency with High-Dimensional Data as Conditioning Information," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202015, University of Kansas, Department of Economics, revised Sep 2020.
    74. Atif Ellahie, 2021. "Earnings beta," Review of Accounting Studies, Springer, vol. 26(1), pages 81-122, March.
    75. Feng, Guanhao & He, Jingyu, 2022. "Factor investing: A Bayesian hierarchical approach," Journal of Econometrics, Elsevier, vol. 230(1), pages 183-200.
    76. Jorge Guijarro-Ordonez & Markus Pelger & Greg Zanotti, 2021. "Deep Learning Statistical Arbitrage," Papers 2106.04028, arXiv.org, revised Oct 2022.
    77. Zihang Peng, 2023. "Do risk exposures explain accounting anomalies? A new testing method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(3), pages 2965-2983, September.
    78. Hoang, Khoa & Huang, Ronghong & Truong, Helen, 2023. "Resurrecting the market factor: A case of data mining across international markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    79. Zhu, Lin & Jiang, Fuwei & Tang, Guohao & Jin, Fujing, 2024. "From macro to micro: Sparse macroeconomic risks and the cross-section of stock returns," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    80. Qin Yiyi & Jun Cai & Jie Zhu & Robert Webb, 2025. "Commodity Futures Characteristics and Asset Pricing Models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(3), pages 176-207, March.
    81. Shanyan Lai, 2025. "Multilayer Perceptron Neural Network Models in Asset Pricing: An Empirical Study on Large-Cap US Stocks," Papers 2505.01921, arXiv.org, revised Jun 2026.
    82. Siddhartha Chib & Simon C. Smith, 2024. "Factor Selection and Structural Breaks," Finance and Economics Discussion Series 2024-037, Board of Governors of the Federal Reserve System (U.S.).
    83. Hauzenberger, Niko & Huber, Florian & Klieber, Karin, 2023. "Real-time inflation forecasting using non-linear dimension reduction techniques," International Journal of Forecasting, Elsevier, vol. 39(2), pages 901-921.
    84. Ma, Tian & Sheng, Haoyun & Wang, Yuejie, 2024. "Noisy market, machine learning and fundamental momentum," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    85. Oleg Rytchkov & Xun Zhong, 2020. "Information Aggregation and P-Hacking," Management Science, INFORMS, vol. 66(4), pages 1605-1626, April.
    86. Cooper, Michael & Gulen, Huseyin & Ion, Mihai, 2024. "The use of asset growth in empirical asset pricing models," Journal of Financial Economics, Elsevier, vol. 151(C).
    87. Yitong Duan & Weiran Wang & Jian Li, 2025. "FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction," Papers 2502.05218, arXiv.org.
    88. Borup, Daniel, 2019. "Asset pricing model uncertainty," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 166-189.
    89. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2025. "Identification-robust and simultaneous inference in multifactor asset pricing models," Journal of Econometrics, Elsevier, vol. 248(C).
    90. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    91. Müller, Sebastian & Pugachyov, Nikolay & Weigert, Florian, 2026. "Forecasting mutual fund performance: Combining return-based with portfolio holdings-based predictors," CFR Working Papers 26-01, University of Cologne, Centre for Financial Research (CFR).
    92. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    93. Bo Yu & Dayong Zhang & Qiang Ji, 2025. "Forecasting portfolio variance: a new decomposition approach," Annals of Operations Research, Springer, vol. 348(1), pages 543-578, May.
    94. Xiaolu Wei & Hongbing Ouyang, 2023. "Forecasting Carbon Price Using Double Shrinkage Methods," IJERPH, MDPI, vol. 20(2), pages 1-20, January.
    95. Cao, Ji & Rieger, Marc Oliver & Zhao, Lei, 2023. "Safety first, loss probability, and the cross section of expected stock returns," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 345-369.
    96. Axel Groß-Klußmann, 2024. "Learning deep news sentiment representations for macro-finance," Digital Finance, Springer, vol. 6(3), pages 341-377, September.
    97. Nima Afsharhajari & Jonathan Yu-Meng Li, 2026. "The Virtue of Sparsity in Complexity," Papers 2604.17166, arXiv.org.
    98. Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
    99. Meng, Qingbin & Qi, Ji & Wang, Solomon & Zhao, Xuankai, 2026. "Disciplining the factor zoo: Identifying pricing factors in the Chinese stock market," Economic Modelling, Elsevier, vol. 155(C).
    100. Doron Avramov & Xin He, 2026. "Stochastic Discount Factors with Cross-Asset Spillovers," Papers 2602.20856, arXiv.org.
    101. Li, Zhiyong & Wang, Haixu & Yu, Mei, 2023. "Beyond rocket science: A factor model for convertible bond returns," Economics Letters, Elsevier, vol. 233(C).
    102. Wang, Feifei & Yan, Xuemin Sterling, 2021. "Downside risk and the performance of volatility-managed portfolios," Journal of Banking & Finance, Elsevier, vol. 131(C).
    103. Pezzo, Luca & Zhu, Yinchu & Hassan, M. Kabir & Tian, Jiayuan, 2024. "Testing the boundaries of applicability of standard Stochastic Discount Factor models," Journal of Financial Stability, Elsevier, vol. 72(C).
    104. Büchner, Matthias & Kelly, Bryan, 2022. "A factor model for option returns," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1140-1161.
    105. Cong, Lin William & Feng, Guanhao & He, Jingyu & He, Xin, 2025. "Growing the efficient frontier on panel trees," Journal of Financial Economics, Elsevier, vol. 167(C).
    106. Yuan Liao & Viktor Todorov, 2024. "Changes in the span of systematic risk exposures," Quantitative Economics, Econometric Society, vol. 15(3), pages 817-847, July.
    107. Alex R. Horenstein, 2021. "The Unintended Impact of Academic Research on Asset Returns: The Capital Asset Pricing Model Alpha," Management Science, INFORMS, vol. 67(6), pages 3655-3673, June.
    108. Christian Fieberg & Lars Hornuf & Gerrit Liedtke & Thorsten Poddig, 2020. "Are Characteristics Covariances? A Comment on Instrumented Principal Component Analysis," CESifo Working Paper Series 8377, CESifo.
    109. Hai-Chuan Xu & Meng Wu & Wei-Xing Zhou, 2026. "Sparse principal component factors in asset pricing: evidence from the Chinese stock market," Annals of Operations Research, Springer, vol. 357(1), pages 505-529, February.
    110. van Binsbergen, Jules H. & Boons, Martijn & Opp, Christian C. & Tamoni, Andrea, 2023. "Dynamic asset (mis)pricing: Build-up versus resolution anomalies," Journal of Financial Economics, Elsevier, vol. 147(2), pages 406-431.
    111. Ruofan Xu & Qingliang Fan, 2025. "Single-Index Quantile Factor Model with Observed Characteristics," Papers 2506.19586, arXiv.org.
    112. Vasant Dhar & Jo~ao Sedoc, 2025. "DBOT: Artificial Intelligence for Systematic Long-Term Investing," Papers 2504.05639, arXiv.org.
    113. Bang, Jeongseok & Kang, Yeonchan & Ryu, Doojin, 2024. "Potential pricing factors in the Korean market," Finance Research Letters, Elsevier, vol. 67(PB).
    114. Chen, Xi & Wang, Junbo & Wu, Chunchi & Wu, Di, 2024. "Extreme illiquidity and cross-sectional corporate bond returns," Journal of Financial Markets, Elsevier, vol. 68(C).
    115. Nechvátalová, Lenka, 2025. "Autoencoder asset pricing models and economic restrictions — international evidence," International Review of Financial Analysis, Elsevier, vol. 107(C).
    116. Guillaume Coqueret & Tony Guida, 2020. "Training trees on tails with applications to portfolio choice," Post-Print hal-04144665, HAL.
    117. Iason Kynigakis & Ekaterini Panopoulou, 2022. "Does model complexity add value to asset allocation? Evidence from machine learning forecasting models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 603-639, April.
    118. Carter Davis, 2023. "The Elasticity of Quantitative Investment," Papers 2303.14533, arXiv.org, revised Sep 2024.
    119. Theissen, Erik & Yilanci, Can, 2020. "Momentum? What Momentum?," CFR Working Papers 20-09, University of Cologne, Centre for Financial Research (CFR).
    120. Ruixun Zhang, 2025. "Toward interpretable machine learning: evaluating models of heterogeneous predictions," Annals of Operations Research, Springer, vol. 347(2), pages 867-887, April.
    121. Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020. "Taming the Factor Zoo: A Test of New Factors," Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
    122. Tatsuru Kikuchi, 2025. "Dynamic Spatial Treatment Effects as Continuous Functionals: Theory and Evidence from Healthcare Access," Papers 2510.15324, arXiv.org, revised Oct 2025.
    123. Konstantin Gorgen & Abdolreza Nazemi & Melanie Schienle, 2022. "Robust Knockoffs for Controlling False Discoveries With an Application to Bond Recovery Rates," Papers 2206.06026, arXiv.org.
    124. Chen, Shan & Li, Tao, 2025. "A unified duration-based explanation of the value, profitability, and investment anomalies," Journal of Empirical Finance, Elsevier, vol. 84(C).
    125. John B. Guerard, 2024. "Sir David Hendry: An Appreciation from Wall Street and What Macroeconomics Got Right," Working Papers 2024-001, The George Washington University, The Center for Economic Research, revised Feb 2024.
    126. Hyuksoo Kim & Saejoon Kim, 2024. "Estimating Asset Pricing Models in the Presence of Cross-Sectionally Correlated Pricing Errors," Mathematics, MDPI, vol. 12(21), pages 1-21, November.
    127. Fernando Moraes & Rodrigo De-Losso, 2020. "Risk Factors’ CPDAG Roots and the Cross-Section of Expected Returns," Working Papers, Department of Economics 2020_18, University of São Paulo (FEA-USP).
    128. Kozak, Serhiy & Nagel, Stefan & Santosh, Shrihari, 2020. "Shrinking the cross-section," Journal of Financial Economics, Elsevier, vol. 135(2), pages 271-292.
    129. Langlois, Hugues, 2023. "What matters in a characteristic?," Journal of Financial Economics, Elsevier, vol. 149(1), pages 52-72.
    130. Guillaume Chevalier & Guillaume Coqueret & Thomas Raffinot, 2022. "Supervised portfolios," Post-Print hal-04144588, HAL.
    131. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2020. "Estimation of large dimensional conditional factor models in finance," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 219-282, Elsevier.
    132. Ahmad Haboub & Aris Kartsaklas & Vasilis Sarafidis, 2025. "Residual Income Valuation and Stock Returns: Evidence from a Value-to-Price Investment Strategy," Papers 2506.00206, arXiv.org.
    133. Riccardo Rebonato & Dherminder Kainth & Lionel Melin, 2025. "The Impact of Physical Climate Risk on the Valuation of Global Equity Assets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(4), pages 857-894, April.
    134. Zhao, Chencheng & Yuan, Xianghui & Long, Jun & Jin, Liwei & Guan, Bowen, 2023. "Financial indicators analysis using machine learning: Evidence from Chinese stock market," Finance Research Letters, Elsevier, vol. 58(PD).
    135. Lioui, Abraham & Tarelli, Andrea, 2020. "Factor Investing for the Long Run," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    136. Ai He & Dashan Huang & Jiaen Li & Guofu Zhou, 2023. "Shrinking Factor Dimension: A Reduced-Rank Approach," Management Science, INFORMS, vol. 69(9), pages 5501-5522, September.
    137. Yang, Huan & Cai, Jun & Huang, Lin & Marcus, Alan J., 2021. "Bank stocks, risk factors, and tail behavior," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 203-229.
    138. Damir Filipovic & Paul Schneider, 2024. "Fundamental properties of linear factor models," Papers 2409.02521, arXiv.org, revised Feb 2025.
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    2. De Nardi, Mariacristina & Fella, Giulio & Knoef, Marike & Paz-Pardo, Gonzalo & Van Ooijen, Raun, 2021. "Family and government insurance: Wage, earnings, and income risks in the Netherlands and the U.S," Journal of Public Economics, Elsevier, vol. 193(C).
    3. David Domeij & Fatih Guvenen & Rocio Madera & Christopher Busch, 2020. "Skewed Idiosyncratic Income Risk over the Business Cycle: Sources and Insurance," Working Papers 1180, Barcelona School of Economics.

  3. Michiel De Pooter & Robert F. Martin & Seth Pruitt, 2015. "The Liquidity Effects of Official Bond Market Intervention," International Finance Discussion Papers 1138, Board of Governors of the Federal Reserve System (U.S.).

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    1. Christoph Trebesch & Jeromin Zettelmeyer, 2014. "ECB Interventions in Distressed Sovereign Debt Markets: The Case of Greek Bonds," CESifo Working Paper Series 4731, CESifo.
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    3. Yuriy Kitsul & Oleg Sokolinskiy & Jonathan H. Wright, 2022. "Market Effects of Central Bank Credit Markets Support Programs in Europe," International Finance Discussion Papers 1357, Board of Governors of the Federal Reserve System (U.S.).
    4. Pelizzon, Loriana & Subrahmanyam, Marti G. & Tomio, Davide, 2025. "Central Bank–Driven Mispricing," Journal of Financial Economics, Elsevier, vol. 166(C).
    5. Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2020. "Risk endogeneity at the lender/investor-of-last-resort," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 283-297.
    6. Christophe Blot & Paul Hubert & Jérôme Creel & Caroline Bozou, 2023. "The conditionality of monetary policy instruments," EconomiX Working Papers 2023-15, University of Paris Nanterre, EconomiX.
    7. Aymeric Ortmans & Fabien Tripier, 2020. "COVID-Induced Sovereign Risk in the Euro Area: When Did the ECB Stop the Contagion?," Working Papers 2020-11, CEPII research center.
    8. Havlik, Annika & Heinemann, Friedrich & Helbig, Samuel & Nover, Justus, 2021. "Dispelling the shadow of fiscal dominance? Fiscal and monetary announcement effects for euro area sovereign spreads in the corona pandemic," ZEW Discussion Papers 21-050, ZEW - Leibniz Centre for European Economic Research.
    9. Wollmershäuser, Timo & Hristov, Nikolay & Hülsewig, Oliver & Siemsen, Thomas, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB s OMT Program," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100280, Verein für Socialpolitik / German Economic Association.
    10. Eser, Fabian & Lemke, Wolfgang & Nyholm, Ken & Vladu, Andreea, 2020. "Tracing the impact of the ECB's asset purchase programme on the yield curve," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224540, Verein für Socialpolitik / German Economic Association.
    11. Marco Bernardini & Antonio M. Conti, 2023. "Announcement and implementation effects of central bank asset purchases," Temi di discussione (Economic working papers) 1435, Bank of Italy, Economic Research and International Relations Area.
    12. Marco Casiraghi & Eugenio Gaiotti & Lisa Rodano & Alessandro Secchi, 2013. "The impact of unconventional monetary policy on the Italian economy during the sovereign debt crisis," Questioni di Economia e Finanza (Occasional Papers) 203, Bank of Italy, Economic Research and International Relations Area.
    13. Urszula SZCZERBOWICZ, 2014. "The ECB's Unconventional Monetary Policies: Have they lowered market borrowing costs for banks and governments?," Discussion papers 14008, Research Institute of Economy, Trade and Industry (RIETI).
    14. Amy Y. Guisinger & Michael W. Mccracken & Michael T. Owyang, 2025. "Reconsidering the Fed's Inflation Forecasting Advantage," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(1), pages 5-30, February.
    15. Boneva, Lena & Kastl, Jakub & Zikes, Filip, 2025. "Dealer balance sheets and bidding behavior in the Bank of England’s QE reverse auctions," Journal of Financial Economics, Elsevier, vol. 174(C).
    16. Christophe Blot & Caroline Bozou & Jérôme Creel & Paul Hubert, 2021. "Are all Central Bank Asset Purchases the Same? Different Rationales, Different Effects," Sciences Po Economics Publications (main) hal-03554141, HAL.
    17. El Kalak, Izidin & Leung, Woon Sau & Takahashi, Hidenori & Yamada, Kazuo, 2023. "The Bank of Japan's equity purchases and stock illiquidity," Journal of Financial Markets, Elsevier, vol. 63(C).
    18. Blix Grimaldi, Marianna & Crosta, Alberto & Zhang, Dong, 2021. "The Liquidity of the Government Bond Market – What Impact Does Quantitative Easing Have? Evidence from Sweden," Working Paper Series 402, Sveriges Riksbank (Central Bank of Sweden).
    19. Bank for International Settlements, 2019. "Large central bank balance sheets and market functioning," Markets Committee Papers 11, Bank for International Settlements.
    20. Arvind Krishnamurthy & Stefan Nagel & Annette Vissing-Jorgensen, 2017. "ECB Policies Involving Government Bond Purchases: Impact and Channels," NBER Working Papers 23985, National Bureau of Economic Research, Inc.
    21. Lena Boneva & David Elliott & Iryna Kaminska & Oliver Linton & Nick McLaren & Ben Morley, 2019. "The impact of corporate QE on liquidity: evidence from the UK," Bank of England Staff Working Paper series 782, Bank of England.
    22. Marta Gómez-Puig & Mary Pieterse-Bloem & Simón Sosvilla-Rivero, 2022. ""Dynamic connectedness between credit and liquidity risks in EMU sovereign debt markets"," IREA Working Papers 202217, University of Barcelona, Research Institute of Applied Economics, revised Oct 2022.
    23. Pateiro-Rodríguez, Carlos & Freire-Seoane, María Jesús & López-Bermúdez, Beatriz & Pateiro-López, Carlos, 2020. "Análisis de la tendencia a la liquidez del agregado monetario M3 en la eurozona: 1997-2018," El Trimestre Económico, Fondo de Cultura Económica, vol. 87(345), pages 171-201, enero-mar.
    24. Gómez-Puig, Marta & Pieterse-Bloem, Mary & Sosvilla-Rivero, Simón, 2023. "Dynamic connectedness between credit and liquidity risks in euro area sovereign debt markets," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    25. Weigerding, Michael, 2023. "Long-term liquidity effects of large-scale asset purchase programs: Evidence from the euro covered bond market," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 244-264.
    26. Oliver Hülsewig & Horst Rottmann, 2022. "Euro Area Periphery Countries' Fiscal Policy and Monetary Policy Surprises," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 544-568, June.
    27. Bai, Yiyi & Dang, Tri Vi & He, Qing & Lu, Liping, 2022. "Does lending relationship help or alleviate the transmission of liquidity shocks? Evidence from a liquidity crunch in China," Journal of Financial Stability, Elsevier, vol. 58(C).
    28. Carnazza, Giovanni & Liberati, Paolo, 2021. "The asymmetric impact of the pandemic crisis on interest rates on public debt in the Eurozone," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 521-542.
    29. Noritaka Fukuma & Tomiyuki Kitamura & Kohei Maehashi & Naoki Matsuda & Keita Takemura & Kota Watanabe, 2024. "The Impact of Quantitative and Qualitative Easing and Yield Curve Control on the Functioning of the Japanese Government Bond Market," Bank of Japan Working Paper Series 24-E-9, Bank of Japan.
    30. Eijffinger, Sylvester C.W. & Pieterse-Bloem, Mary, 2023. "Eurozone government bond spreads: A tale of different ECB policy regimes," Journal of International Money and Finance, Elsevier, vol. 139(C).
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    Cited by:

    1. Markmann, Holger & Zietz, Joachim, 2017. "Determining the effectiveness of the Eurosystem’s Covered Bond Purchase Programs on secondary markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 314-327.

  5. Stefano Giglio & Bryan T. Kelly & Seth Pruitt, 2015. "Systemic Risk and the Macroeconomy: An Empirical Evaluation," NBER Working Papers 20963, National Bureau of Economic Research, Inc.

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    297. Mercadier, Mathieu & Tarazi, Amine & Armand, Paul & Lardy, Jean-Pierre, 2025. "Monitoring bank risk around the world using unsupervised learning," European Journal of Operational Research, Elsevier, vol. 324(2), pages 590-615.
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  6. Jinill Kim & Seth Pruitt, 2013. "Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero," CAMA Working Papers 2013-53, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Michael D. Bauer & Carolin E. Pflueger & Adi Sunderam, 2022. "Perceptions about Monetary Policy," CESifo Working Paper Series 10182, CESifo.
    2. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    3. Ippei Fujiwara & Yoshiyuki Nakazono & Kozo Ueda, 2015. "Policy regime change against chronic deflation? Policy option under a long-term liquidity trap," Globalization Institute Working Papers 233, Federal Reserve Bank of Dallas.
    4. Ippei Fujiwara & Yoshiyuki Nakazono & Kozo Ueda, 2015. "Policy Regime Change Against Chronic Deflation?," Working Papers halshs-01545830, HAL.
    5. Brent Bundick, 2015. "Estimating the Monetary Policy Rule Perceived by Forecasters," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 33-49.
    6. Jinill Kim & Seth Pruitt, 2017. "Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 585-602, June.
    7. Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a Nonlinear New Keynesian Model with the Zero Lower Bound for Japan," CAMA Working Papers 2018-37, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Shunsuke Haba & Ryuichiro Hirano & Yuichiro Ito & Sohei Kaihatsu, 2026. "Changes in Perceptions about Monetary Policy: Estimating the Policy Reaction Function Using Market Survey Data," Bank of Japan Working Paper Series 26-E-5, Bank of Japan.
    9. Hibiki Ichiue & Yoichi Ueno, 2018. "A Survey-based Shadow Rate and Unconventional Monetary Policy Effects," IMES Discussion Paper Series 18-E-05, Institute for Monetary and Economic Studies, Bank of Japan.
    10. Yoshiyuki Nakazono, 2016. "Inflation expectations and monetary policy under disagreements," Bank of Japan Working Paper Series 16-E-1, Bank of Japan.

  7. James D. Hamilton & Seth Pruitt & Scott Borger, 2010. "Estimating the Market-Perceived Monetary Policy Rule," NBER Working Papers 16412, National Bureau of Economic Research, Inc.

    Cited by:

    1. Endong Wang, 2024. "Local projections identify the same policy counterfactuals as empirical and structural models," Papers 2409.09577, arXiv.org, revised Feb 2026.
    2. Wataru Hagio & Daisuke Ikeda & Koji Takahashi & Keisuke Yoshida, 2026. "Mind the Gap When Exiting Low-for-Long," IMES Discussion Paper Series 26-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
    3. Linda S. Goldberg & Christian Grisse, 2013. "Time variation in asset price responses to macro announcements," Staff Reports 626, Federal Reserve Bank of New York.
    4. Marwil J. Dávila-Fernández & Germana Giombini & Edgar J. Sánchez-Carrera, 2023. "Climateflation and monetary policy in an environmental OLG growth model," Department of Economics University of Siena 905, Department of Economics, University of Siena.
    5. Gorodnichenko, Y & Coibion, O, 2016. "How inertial is monetary policy? implications for the fed’s exit strategy," Department of Economics, Working Paper Series qt2qc6f09b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    6. Michael D. Bauer & Carolin Pflueger & Adi Sunderam, 2023. "Perceptions about Monetary Policy," Working Paper Series 2023-31, Federal Reserve Bank of San Francisco.
    7. Haitao Li & Tao Li & Cindy Yu, 2013. "No-Arbitrage Taylor Rules with Switching Regimes," Management Science, INFORMS, vol. 59(10), pages 2278-2294, October.
    8. Luís Francisco Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2014. "Analyzing the Taylor Rule with Wavelet Lenses," NIPE Working Papers 18/2014, NIPE - Universidade do Minho.
    9. John Barrdear, 2015. "Towards a New Keynesian theory of the price level," Bank of England Staff Working Paper series 532, Bank of England.
    10. Ricardo Nunes & Ali Ozdagli & Jenny Tang, 2022. "Interest Rate Surprises: A Tale of Two Shocks," Working Papers 2213, Federal Reserve Bank of Dallas.
    11. Jinill Kim & Seth Pruitt, 2017. "Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 585-602, June.
    12. Klodiana Istrefi, 2019. "In Fed Watchers Eyes: Hawks, Doves and Monetary Policy," Working papers 725, Banque de France.
    13. Bertsch, Christoph & Hull, Isaiah & Lumsdaine, Robin L. & Zhang, Xin, 2025. "Central bank mandates and monetary policy stances: Through the lens of Federal Reserve speeches," Journal of Econometrics, Elsevier, vol. 249(PC).
    14. Shunsuke Haba & Ryuichiro Hirano & Yuichiro Ito & Sohei Kaihatsu, 2026. "Changes in Perceptions about Monetary Policy: Estimating the Policy Reaction Function Using Market Survey Data," Bank of Japan Working Paper Series 26-E-5, Bank of Japan.
    15. Lapp, John S. & Pearce, Douglas K., 2012. "The impact of economic news on expected changes in monetary policy," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 362-379.
    16. Fernanda Nechio & Carlos Carvalho, 2012. "Do People Understand Monetary Policy?," 2012 Meeting Papers 426, Society for Economic Dynamics.
    17. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2016. "Estimating the Taylor Rule in the Time-Frequency Domain," CEF.UP Working Papers 1404, Universidade do Porto, Faculdade de Economia do Porto.
    18. Bedri Kamil Onur Tas & Ishak Demir, 2014. "Keep your Word: Time-varying Inflation Targets and Inflation Targeting Performance," Manchester School, University of Manchester, vol. 82(2), pages 160-182, March.
    19. Michael Ehrmann, 2014. "Targeting Inflation from Below - How Do Inflation Expectations Behave?," Staff Working Papers 14-52, Bank of Canada.
    20. Ma, Yong & Li, Shushu, 2015. "Bayesian estimation of China's monetary policy transparency: A New Keynesian approach," Economic Modelling, Elsevier, vol. 45(C), pages 236-248.
    21. Murphy, Austin & AlSalman, Zeina & Souropanis, Ioannis, 2025. "An investigation into the causes of stock market return deviations from real earnings yields," International Review of Economics & Finance, Elsevier, vol. 102(C).
    22. Vijay A Murik, 2013. "Measuring monetary policy expectations," Australian Journal of Management, Australian School of Business, vol. 38(1), pages 49-65, April.
    23. Zhu, Dandan & Wang, Xiangdong & Zhang, Yifan, 2025. "Narrative monetary policy expectation in China," China Economic Review, Elsevier, vol. 94(PB).
    24. Christopher Healy & Chengcheng Jia, 2024. "Financial Markets’ Perceptions of the FOMC’s Data-Dependent Monetary Policy," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2024(03), pages 1-5, February.
    25. Luca Metelli & Filippo Natoli & Luca Rossi, 2020. "Monetary policy gradualism and the nonlinear effects of monetary shocks," Temi di discussione (Economic working papers) 1275, Bank of Italy, Economic Research and International Relations Area.
    26. Sandra Schmidt & Dieter Nautz, 2012. "Central Bank Communication and the Perception of Monetary Policy by Financial Market Experts," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(2‐3), pages 323-340, March.
    27. John Y. Campbell & Carolin Pflueger & Luis M. Viceira, 2013. "Macroeconomic Drivers of Bond and Equity Risks," Harvard Business School Working Papers 14-031, Harvard Business School, revised Aug 2018.
    28. Lakdawala, Aeimit, 2016. "Changes in Federal Reserve preferences," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 124-143.

  8. Max Floetotto & Nir Jaimovich & Seth Pruitt, 2009. "Markup variation and endogenous fluctuations in the price of investment goods," International Finance Discussion Papers 968, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2011. "Investment Shocks and the Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 101-121, January.
    2. Yaniv Yedid-Levi, 2016. "Why does employment in all major sectors move together over the business cycle?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 131-156, October.
    3. Alain Gabler, 2014. "Relative Price Fluctuations in a Two-Sector Model with Imperfect Competition," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 474-483, July.
    4. Marc-Andre Letendre & Joel Wagner, 2015. "Agnecy Costs, Risk Shocks and International Cycles," Department of Economics Working Papers 2015-09, McMaster University.
    5. Sohei Kaihatsu & Takushi Kurozumi, 2014. "Sources of Business Fluctuations: Financial or Technology Shocks?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(2), pages 224-242, April.

  9. Scott C. Borger & James D. Hamilton & Seth Pruitt, 2009. "The market-perceived monetary policy rule," International Finance Discussion Papers 982, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Michael D. Bauer, 2011. "Nominal interest rates and the news," Working Paper Series 2011-20, Federal Reserve Bank of San Francisco.
    2. Sinclair, Tara M. & Gamber, Edward N. & Stekler, Herman & Reid, Elizabeth, 2012. "Jointly evaluating the Federal Reserve’s forecasts of GDP growth and inflation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 309-314.
    3. James D. Hamilton & Seth Pruitt & Scott Borger, 2011. "Estimating the Market-Perceived Monetary Policy Rule," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 1-28, July.
    4. John Barrdear, 2015. "Towards a New Keynesian theory of the price level," Bank of England Staff Working Paper series 532, Bank of England.
    5. Jeffrey R. Campbell & Charles L. Evans & Jonas D. M. Fisher & Alejandro Justiniano, 2012. "Macroeconomic effects of Federal Reserve forward guidance," Working Paper Series WP-2012-03, Federal Reserve Bank of Chicago.
    6. Di Maggio, Marco, 2010. "The Political Economy of the Yield Curve," MPRA Paper 20697, University Library of Munich, Germany.
    7. Luis Viceira & Carolin Pflueger & John Campbell, 2014. "Monetary Policy Drivers of Bond and Equity Risks," 2014 Meeting Papers 137, Society for Economic Dynamics.
    8. Fernanda Nechio & Carlos Carvalho, 2012. "Do People Understand Monetary Policy?," 2012 Meeting Papers 426, Society for Economic Dynamics.
    9. Nikolay Markov & Thomas Nitschka, 2013. "Estimating Taylor Rules for Switzerland: Evidence from 2000 to 2012," Working Papers 2013-08, Swiss National Bank.

  10. Nir Jaimovich & Seth Pruitt & Henry E. Siu, 2009. "The demand for youth: implications for the hours volatility puzzle," International Finance Discussion Papers 964, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Diana Alessandrini & Stephen Kosempel & Thanasis Stengos, 2012. "The Business Cycle Human Capital Accumulation Nexus and its Effect on Labor Supply Volatility," Working Paper series 62_12, Rimini Centre for Economic Analysis.
    2. Sebastian Dyrda & Greg Kaplan & José-Víctor Ríos-Rull, 2012. "Business Cycles and Household Formation: The Micro vs the Macro Labor Elasticity," NBER Working Papers 17880, National Bureau of Economic Research, Inc.
    3. Lugauer, Steven, 2012. "Demographic Change And The Great Moderation In An Overlapping Generations Model With Matching Frictions," Macroeconomic Dynamics, Cambridge University Press, vol. 16(5), pages 706-731, November.
    4. Ariel Burstein & Javier Cravino & Jonathan Vogel, 2011. "Importing Skill-Biased Technology," NBER Working Papers 17460, National Bureau of Economic Research, Inc.
    5. Steven Lugauer, 2012. "Estimating the Effect of the Age Distribution on Cyclical Output Volatility Across the United States," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 896-902, November.
    6. Alexandre Janiak & Paulo Santos Monteiro, 2011. "Towards a quantitative theory of automatic stabilizers: the role of demographics," Documentos de Trabajo 284, Centro de Economía Aplicada, Universidad de Chile.
    7. Greg Kaplan, 2014. "Business Cycles and Household Formation," 2014 Meeting Papers 82, Society for Economic Dynamics.
    8. Julia Dennett & Alicia Sasser Modestino, 2013. "Uncertain futures?: youth attachment to the labor market in the United States and New England," New England Public Policy Center Research Report 13-3, Federal Reserve Bank of Boston.
    9. Lugauer, Steven & Redmond, Michael, 2012. "The age distribution and business cycle volatility: International evidence," Economics Letters, Elsevier, vol. 117(3), pages 694-696.

  11. Seth Pruitt, 2008. "Uncertainty over models and data: the rise and fall of American inflation," International Finance Discussion Papers 962, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Lubik, Thomas A. & Matthes, Christian, 2016. "Indeterminacy and learning: An analysis of monetary policy in the Great Inflation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 85-106.
    2. Aguilar, Pablo & Vázquez, Jesús, 2021. "An Estimated Dsge Model With Learning Based On Term Structure Information," Macroeconomic Dynamics, Cambridge University Press, vol. 25(7), pages 1635-1665, October.
    3. Makin, Anthony J. & Robson, Alex & Ratnasiri, Shyama, 2017. "Missing money found causing Australia's inflation," Economic Modelling, Elsevier, vol. 66(C), pages 156-162.
    4. Pablo Aguilar & Jesús Vázquez, 2015. "The role of term structure in an estimated DSGE model with learning," LIDAM Discussion Papers IRES 2015007, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. Casares, Miguel & Vázquez, Jesús, 2016. "Data Revisions In The Estimation Of Dsge Models," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1683-1716, October.
    6. Lafuente, Juan A. & Pérez, Rafaela & Ruiz, Jesús, 2014. "Time-varying inflation targeting after the nineties," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 400-408.
    7. Xueting Yu & Yuhan Zhu & Guangming Lv, 2020. "Analysis of the Impact of China’s GDP Data Revision on Monetary Policy from the Perspective of Uncertainty," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(6), pages 1251-1274, May.

Articles

  1. Bryan Kelly & Diogo Palhares & Seth Pruitt, 2023. "Modeling Corporate Bond Returns," Journal of Finance, American Finance Association, vol. 78(4), pages 1967-2008, August.

    Cited by:

    1. Liu, Yuekun & Riley, Timothy B., 2025. "How should we measure the performance of corporate bond mutual funds? Evaluating model quality and impact on inferences," Journal of Banking & Finance, Elsevier, vol. 173(C).
    2. Yanchu Liu & Heyang Zhou & Xiaoqiong Li & Jianfeng Liang & Haisheng Yang, 2025. "An Instrumented Principal Component Analysis Factor Model for Chinese Equity Options Returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(5), pages 4370-4390, December.
    3. Liu, Zhen & Guo, Qiang & Yang, Shuangpeng, 2025. "Environmental Information Disclosure and Corporate Bond Spread," Finance Research Letters, Elsevier, vol. 86(PF).
    4. Alexander Dickerson & Cesare Robotti & Giulio Rossetti, 2026. "The Corporate Bond Factor Replication Crisis," Papers 2604.07880, arXiv.org.
    5. Qianwen Chen & Jaewon Choi, 2024. "Reaching for Yield and the Cross Section of Bond Returns," Management Science, INFORMS, vol. 70(8), pages 5226-5245, August.
    6. Travis Cable & Amir Mani & Wei Qi & Georgios Sotiropoulos & Yiyuan Xiong, 2025. "On the Efficacy of Shorting Corporate Bonds as a Tail Risk Hedging Solution," Papers 2504.06289, arXiv.org.
    7. Redouane Elkamhi & Chanik Jo & Yoshio Nozawa, 2024. "A One-Factor Model of Corporate Bond Premia," Management Science, INFORMS, vol. 70(3), pages 1875-1900, March.
    8. Liu, Yanchu & Zhou, Heyang & Yang, Haisheng, 2025. "Latent factor models for the Chinese commodity futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    9. Desislava Vladimirova, 2024. "In the shadow of country risk: asset pricing model of emerging market corporate bonds," Journal of Asset Management, Palgrave Macmillan, vol. 25(5), pages 479-492, September.
    10. Kuong, John Chi-Fong & O’Donovan, James & Zhang, Jinyuan, 2024. "Monetary policy and fragility in corporate bond mutual funds," Journal of Financial Economics, Elsevier, vol. 161(C).
    11. DICKERSON, Alexander & NOZAWA, Yoshio & ROBOTTI, Cesare, 2025. "Factor Investing with Delays," Discussion Paper Series 771, Institute of Economic Research, Hitotsubashi University.
    12. Junyi Ye & Bhaskar Goswami & Jingyi Gu & Ajim Uddin & Guiling Wang, 2024. "From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing," Papers 2403.06779, arXiv.org.
    13. Mathieu Fournier & Kris Jacobs & Piotr Orłowski, 2024. "Modeling Conditional Factor Risk Premia Implied by Index Option Returns," Journal of Finance, American Finance Association, vol. 79(3), pages 2289-2338, June.

  2. Kelly, Bryan T. & Moskowitz, Tobias J. & Pruitt, Seth, 2021. "Understanding momentum and reversal," Journal of Financial Economics, Elsevier, vol. 140(3), pages 726-743.

    Cited by:

    1. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda & Melin, Olena, 2023. "Identification-robust beta pricing, spanning, mimicking portfolios, and the benchmark neutrality of catastrophe bonds," Journal of Econometrics, Elsevier, vol. 236(1).
    2. Arbab Khalid Cheema & Wenjie Ding & Qingwei Wang, 2023. "The cross-section of January effect," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 513-530, October.
    3. Yan, Jingda & Yu, Jialin, 2023. "Cross-stock momentum and factor momentum," Journal of Financial Economics, Elsevier, vol. 150(2).
    4. Xingyue Pu & Stephen Roberts & Xiaowen Dong & Stefan Zohren, 2023. "Network Momentum across Asset Classes," Papers 2308.11294, arXiv.org.
    5. Gormsen, Niels Joachim & Jensen, Christian Skov, 2024. "Conditional risk," Journal of Financial Economics, Elsevier, vol. 162(C).
    6. Madhusmita Bhadra & Doyeon Kim, 2023. "Income elasticity of demand and stock market beta," International Finance, Wiley Blackwell, vol. 26(2), pages 225-240, August.
    7. Zhu, Lin & Jiang, Fuwei & Tang, Guohao & Jin, Fujing, 2024. "From macro to micro: Sparse macroeconomic risks and the cross-section of stock returns," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    8. Li, Yan & Liang, Chao & Huynh, Toan L.D. & He, Qiubei, 2022. "Price reversal and heterogeneous belief," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 104-119.
    9. Cai, Xing & Xia, Wei & Huang, Weihua & Yang, Haijun, 2024. "Dynamics of momentum in financial markets based on the information diffusion in complex social networks," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    10. Li, Yan & Huo, Jiale & Xu, Yongan & Liang, Chao, 2023. "Belief-based momentum indicator and stock market return predictability," Research in International Business and Finance, Elsevier, vol. 64(C).
    11. Xie, Jun & Fang, Yuying & Gao, Bin & Tan, Chunzhi, 2023. "Availability heuristic and expected returns," Finance Research Letters, Elsevier, vol. 51(C).
    12. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2025. "Identification-robust and simultaneous inference in multifactor asset pricing models," Journal of Econometrics, Elsevier, vol. 248(C).
    13. Takano, Yuichi & Gotoh, Jun-ya, 2023. "Dynamic portfolio selection with linear control policies for coherent risk minimization," Operations Research Perspectives, Elsevier, vol. 10(C).
    14. Ross Koval & Nicholas Andrews & Xifeng Yan, 2025. "Multimodal Language Models with Modality-Specific Experts for Financial Forecasting from Interleaved Sequences of Text and Time Series," Papers 2509.19628, arXiv.org.
    15. Dong, Liang & Dai, Yiqing & Haque, Tariq & Kot, Hung Wan & Yamada, Takeshi, 2022. "Coskewness and reversal of momentum returns: The US and international evidence," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 241-264.
    16. Langlois, Hugues, 2023. "What matters in a characteristic?," Journal of Financial Economics, Elsevier, vol. 149(1), pages 52-72.
    17. Wang, Wenhao & Zhang, Qingyi & An, Pengda & Cai, Feifei, 2024. "Momentum and reversal strategies with low uncertainty," Finance Research Letters, Elsevier, vol. 68(C).
    18. Klaus Grobys, 2024. "Science or scientism? On the momentum illusion," Annals of Finance, Springer, vol. 20(4), pages 479-519, December.
    19. Qingyuan Han, 2025. "Understanding price momentum, market fluctuations, and crashes: insights from the extended Samuelson model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-37, December.
    20. Liu, Yanchu & Zhou, Heyang & Yang, Haisheng, 2025. "Latent factor models for the Chinese commodity futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    21. Beckmeyer, Heiner & Wiedemann, Timo, 2025. "All Days Are Not Created Equal: Understanding Momentum by Learning to Weight Past Returns," Journal of Banking & Finance, Elsevier, vol. 181(C).
    22. Chen, Hong-Yi & Hsieh, Chia-Hsun & Lee, Cheng-Few, 2023. "Revisiting the momentum effect in Taiwan: The role of persistency," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    23. Han, Yufeng & Mo, Xi Nancy & Yang, Jian, 2025. "Trend factors around the world: Performance and determinants," Journal of Banking & Finance, Elsevier, vol. 181(C).
    24. Bartram, Söhnke & Djuranovik, Leslie & Garratt, Anthony, 2021. "Currency Anomalies," CEPR Discussion Papers 15653, Centre for Economic Policy Research.
    25. Matteo Bagnara, 2024. "Asset Pricing and Machine Learning: A critical review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 27-56, February.
    26. Fan, John Hua & Qiao, Xiao, 2023. "Commodity momentum: A tale of countries and sectors," Journal of Commodity Markets, Elsevier, vol. 29(C).
    27. Xin, Ling, 2024. "Short-term contrarian in the carbon emission market," Energy Economics, Elsevier, vol. 139(C).
    28. Wu, Luyao & Wu, Jinshun, 2025. "Long memory of stock market return volatility and its impact on market efficiency," Finance Research Letters, Elsevier, vol. 86(PG).
    29. Zhang, Shaojun, 2022. "Dissecting currency momentum," Journal of Financial Economics, Elsevier, vol. 144(1), pages 154-173.
    30. Tobias Wiest, 2023. "Momentum: what do we know 30 years after Jegadeesh and Titman’s seminal paper?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(1), pages 95-114, March.
    31. Zhang, Ailian & Pan, Mengmeng & Zhang, Xuan, 2025. "The pricing ability of factor model based on machine learning: Evidence from high-frequency data in China," International Review of Economics & Finance, Elsevier, vol. 101(C).
    32. Wei Guo, 2025. "Can Chinese stock market volatility forecast US news sentiment?," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(5), pages 4503-4523, October.
    33. Büsing, Pascal & Mohrschladt, Hannes & Siedhoff, Susanne, 2024. "Decomposing momentum: The forgotten component," Journal of Banking & Finance, Elsevier, vol. 168(C).

  3. Seth Pruitt & Nicholas Turner, 2020. "Earnings Risk in the Household: Evidence from Millions of US Tax Returns," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 237-254, June.

    Cited by:

    1. Søren Leth‐Petersen & Johan Sæverud, 2022. "Inequality and dynamics of earnings and disposable income in Denmark 1987–2016," Quantitative Economics, Econometric Society, vol. 13(4), pages 1493-1526, November.
    2. Martin Eckhoff Andresen & Andreas Kostøl & Ross Milton & Corina Mommaerts & Luisa Wallossek, 2025. "Monthly Earnings Volatility and Household Pooling," CESifo Working Paper Series 12323, CESifo.
    3. Wouter Gelade & Maud Nautet & Céline Piton, 2026. "Labour supply of couples facing a risk of job loss," Empirical Economics, Springer, vol. 70(2), pages 1-30, February.
    4. Ana Sofia Pessoa, 2021. "Earnings Dynamics in Germany," CESifo Working Paper Series 9117, CESifo.
    5. Christopher Busch & David Domeij & Fatih Guvenen & Rocio Madera, 2022. "Skewed Idiosyncratic Income Risk over the Business Cycle: Sources and Insurance," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(2), pages 207-242, April.
    6. Titan Alon & Matthias Doepke & Jane Olmstead-Rumsey, 2020. "This Time It's Different: The Role of Women's Employment in a Pandemic Recession," Working Papers 2020-057, Human Capital and Economic Opportunity Working Group.
    7. Guvenen, Fatih & Ozkan, Serdar & Madera, Rocio, 2024. "Consumption dynamics and welfare under non-Gaussian earnings risk," Journal of Economic Dynamics and Control, Elsevier, vol. 169(C).
    8. Nuno Alves & Carlos Martins, 2025. "The anatomy of household income dynamics in Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    9. Nezih Guner & Yuliya Kulikova & Arnau Valladares-Esteban, 2025. "Does the Added Worker Effect Matter?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 56, April.
    10. Ji, Yuemei & Qi, Weiwen, 2025. "The motherhood penalty in employment: Evidence from UK Asian mothers during the pandemic," Journal of Asian Economics, Elsevier, vol. 100(C).
    11. Tertilt, Michèle & Doepke, Matthias & Olmstead-Rumsey, Jane, 2020. "This Time It’s Different: The Role of Women’s Employment in a Pandemic Recession," CEPR Discussion Papers 15149, Centre for Economic Policy Research.
    12. Joseph Altonji & Disa Hynsjo & Ivan Vidangos, 2023. "Individual Earnings and Family Income: Dynamics and Distribution," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 225-250, July.
    13. d'Astous, Philippe & Shore, Stephen H., 2024. "Human capital risk and portfolio choices: Evidence from university admission discontinuities," Journal of Financial Economics, Elsevier, vol. 154(C).
    14. Bloemen, Hans, 2021. "Labor Market Transitions of Members of Opposite-Sex Couples: Nonparticipation, Unemployed Search, and Employment," IZA Discussion Papers 14673, IZA Network @ LISER.
    15. d’Astous, Philippe & Shore, Stephen H., 2024. "Programs of study and earnings dynamics," Labour Economics, Elsevier, vol. 88(C).
    16. Andrew Taeho Kim & Matt Erickson & Yurong Zhang & ChangHwan Kim, 2022. "Who is the “She” in the Pandemic “She-Cession”? Variation in COVID-19 Labor Market Outcomes by Gender and Family Status," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1325-1358, June.

  4. Kelly, Bryan T. & Pruitt, Seth & Su, Yinan, 2019. "Characteristics are covariances: A unified model of risk and return," Journal of Financial Economics, Elsevier, vol. 134(3), pages 501-524.
    See citations under working paper version above.
  5. De Pooter, Michiel & Martin, Robert F. & Pruitt, Seth, 2018. "The Liquidity Effects of Official Bond Market Intervention," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(1), pages 243-268, February.
    See citations under working paper version above.
  6. Jinill Kim & Seth Pruitt, 2017. "Estimating Monetary Policy Rules When Nominal Interest Rates Are Stuck at Zero," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 585-602, June.
    See citations under working paper version above.
  7. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
    See citations under working paper version above.
  8. Kelly, Bryan & Pruitt, Seth, 2015. "The three-pass regression filter: A new approach to forecasting using many predictors," Journal of Econometrics, Elsevier, vol. 186(2), pages 294-316.

    Cited by:

    1. Marine Carrasco & Barbara Rossi, 2016. "In-sample inference and forecasting in misspecified factor models," Economics Working Papers 1530, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Chunya Bu & John Rogers & Wenbin Wu, 2019. "A Unified Measure of Fed Monetary Policy Shocks," Finance and Economics Discussion Series 2019-043, Board of Governors of the Federal Reserve System (U.S.).
    3. Oguzhan Cepni & Rangan Gupta & Yigit Onay, 2022. "The role of investor sentiment in forecasting housing returns in China: A machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1725-1740, December.
    4. Yaojie Zhang & Yudong Wang & Feng Ma, 2021. "Forecasting US stock market volatility: How to use international volatility information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 733-768, August.
    5. Michael T. Kiley, 2020. "Financial Conditions and Economic Activity: Insights from Machine Learning," Finance and Economics Discussion Series 2020-095, Board of Governors of the Federal Reserve System (U.S.).
    6. Matthew F. Dixon & Nicholas G. Polson & Kemen Goicoechea, 2022. "Deep Partial Least Squares for Empirical Asset Pricing," Papers 2206.10014, arXiv.org.
    7. Xi Dong & Yan Li & David E. Rapach & Guofu Zhou, 2022. "Anomalies and the Expected Market Return," Journal of Finance, American Finance Association, vol. 77(1), pages 639-681, February.
    8. Djogbenou, Antoine A., 2017. "Model Selection in Factor-Augmented Regressions with Estimated Factors," Queen's Economics Department Working Papers 274717, Queen's University - Department of Economics.
    9. Liya Chu & Xue-Zhong He & Kai Li & Jun Tu, 2022. "Investor Sentiment and Paradigm Shifts in Equity Return Forecasting," Management Science, INFORMS, vol. 68(6), pages 4301-4325, June.
    10. Cakici, Nusret & Shahzad, Syed Jawad Hussain & Będowska-Sójka, Barbara & Zaremba, Adam, 2024. "Machine learning and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    11. Renato Faccini & Eirini Konstantinidi & George Skiadopoulos & Sylvia Sarantopoulou-Chiourea, 2019. "A New Predictor of U.S. Real Economic Activity: The S&P 500 Option Implied Risk Aversion," Management Science, INFORMS, vol. 65(10), pages 4927-4949, October.
    12. Duan, Huayou & Zhao, Chenchen & Wang, Lu & Liu, Guangqiang, 2024. "The relationship between renewable energy attention and volatility: A HAR model with markov time-varying transition probability," Research in International Business and Finance, Elsevier, vol. 71(C).
    13. Dai, Zhifeng & Kang, Jie & Hu, Yangli, 2021. "Efficient predictability of oil price: The role of number of IPOs and U.S. dollar index," Resources Policy, Elsevier, vol. 74(C).
    14. Hyeongwoo Kim & Kyunghwan Ko, 2019. "Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach," Auburn Economics Working Paper Series auwp2019-03, Department of Economics, Auburn University.
    15. Geoffrey R. Dunbar, 2024. "How Preferences, Monetary Policy and Household Inflation," Staff Working Papers 24-45, Bank of Canada.
    16. Shu, Lei & Lu, Feiyang & Chen, Yu, 2023. "Robust forecasting with scaled independent component analysis," Finance Research Letters, Elsevier, vol. 51(C).
    17. Cakici, Nusret & Zaremba, Adam, 2025. "Accounting vs technical information: what matters more for stock return predictability?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 104(C).
    18. Alexandridis, Antonios K. & Panopoulou, Ekaterini & Souropanis, Ioannis, 2024. "Forecasting exchange rate volatility: An amalgamation approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 97(C).
    19. Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie & Wang, Qunwei, 2024. "Forecasting carbon prices under diversified attention: A dynamic model averaging approach with common factors," Energy Economics, Elsevier, vol. 133(C).
    20. Yang, Lu & Cui, Xue & Yang, Lei & Hamori, Shigeyuki & Cai, Xiaojing, 2023. "Risk spillover from international financial markets and China's macro-economy: A MIDAS-CoVaR-QR model," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 55-69.
    21. Zhang, Yaojie & He, Mengxi & Wang, Yudong & Liang, Chao, 2023. "Global economic policy uncertainty aligned: An informative predictor for crude oil market volatility," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1318-1332.
    22. Dai, Zhifeng & Zhang, Xiaotong & Li, Tingyu, 2023. "Forecasting stock return volatility in data-rich environment: A new powerful predictor," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    23. Shu, Lei & Hao, Yifan & Chen, Yu & Yang, Qing, 2025. "SFQRA: Scaled factor-augmented quantile regression with aggregation in conditional mean forecasting," Journal of Multivariate Analysis, Elsevier, vol. 207(C).
    24. Mykola Babiak & Jozef Barunik, 2020. "Deep Learning, Predictability, and Optimal Portfolio Returns," Papers 2009.03394, arXiv.org, revised Feb 2026.
    25. Yuan, Ying & Qu, Yong & Wang, Tianyang, 2025. "Predicting risk premiums: A constraint-based model," Journal of Empirical Finance, Elsevier, vol. 83(C).
    26. Bouri, Elie & Christou, Christina & Gupta, Rangan, 2022. "Forecasting returns of major cryptocurrencies: Evidence from regime-switching factor models," Finance Research Letters, Elsevier, vol. 49(C).
    27. Mohammed Y. A. Rawwas & Yanfang Wang & Baochun Zhao & Basharat Javed, 2018. "A comparison between North and South business ethics: the concepts of Renzhi and Fazhi in China," Asia Pacific Business Review, Taylor & Francis Journals, vol. 24(5), pages 585-601, October.
    28. Pedro Isaac Chavez-Lopez & Tae-Hwy Lee, 2025. "Quantile-Covariance Three-Pass Regression Filter," Working Papers 202501, University of California at Riverside, Department of Economics.
    29. Antonios K. Alexandridis & Ekaterini Panopoulou & Ioannis Souropanis, 2024. "Forecasting exchange rates: An iterated combination constrained predictor approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 983-1017, July.
    30. Arabinda Basistha, 2023. "Estimation of short‐run predictive factor for US growth using state employment data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 34-50, January.
    31. Likun Lei & Yaojie Zhang & Yu Wei & Yi Zhang, 2021. "Forecasting the volatility of Chinese stock market: An international volatility index," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1336-1350, January.
    32. Yuan Zhao & Xue Gong & Weiguo Zhang & Weijun Xu, 2025. "Stock return forecasting based on the proxy variables of category factors," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-48, December.
    33. Dai, Zhifeng & Jiang, Fuwei & Kang, Jie & Xue, Bowen, 2025. "Stock return predictability in the frequency domain," International Journal of Forecasting, Elsevier, vol. 41(3), pages 1126-1147.
    34. Zhang, Yaojie & Wahab, M.I.M. & Wang, Yudong, 2023. "Forecasting crude oil market volatility using variable selection and common factor," International Journal of Forecasting, Elsevier, vol. 39(1), pages 486-502.
    35. Ma, Yong & Li, Shuaibing & Liu, Xiaojun, 2025. "Forecasting energy commodity returns: Can weak factors and nonlinearity help?," Economic Modelling, Elsevier, vol. 153(C).
    36. Oguzhan Cepni & Rangan Gupta & I. Ethem Guney & M. Hasan Yilmaz, 2019. "Forecasting Local Currency Bond Risk Premia of Emerging Markets: The Role of Cross-Country Macro-Financial Linkages," Working Papers 201957, University of Pretoria, Department of Economics.
    37. Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023. "Big data forecasting of South African inflation," Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
    38. Pan, Shuiyang & Long, Suwan(Cheng) & Wang, Yiming & Xie, Ying, 2023. "Nonlinear asset pricing in Chinese stock market: A deep learning approach," International Review of Financial Analysis, Elsevier, vol. 87(C).
    39. Pierre Guérin & Danilo Leiva-Leon & Massimiliano Marcellino, 2017. "Markov-Switching Three-Pass Regression Filter," Staff Working Papers 17-13, Bank of Canada.
    40. Patrick Bielstein, 2018. "International asset allocation using the market implied cost of capital," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(1), pages 17-51, February.
    41. Hyeongwoo Kim & Kyunghwan Ko, 2017. "Improving Forecast Accuracy of Financial Vulnerability: Partial Least Squares Factor Model Approach," Working Papers 2017-14, Economic Research Institute, Bank of Korea.
    42. Dalibor Stevanovic & Rachidi Kotchoni & Maxime Leroux, 2017. "Forecasting economic activity in data-rich environment," CIRANO Working Papers 2017s-05, CIRANO.
    43. Guo, Yangli & He, Feng & Liang, Chao & Ma, Feng, 2022. "Oil price volatility predictability: New evidence from a scaled PCA approach," Energy Economics, Elsevier, vol. 105(C).
    44. Barbarino, Alessandro & Bura, Efstathia, 2024. "Forecasting Near-equivalence of Linear Dimension Reduction Methods in Large Panels of Macro-variables," Econometrics and Statistics, Elsevier, vol. 31(C), pages 1-18.
    45. Rajveer Jat & Daanish Padha, 2024. "Kernel Three Pass Regression Filter," Papers 2405.07292, arXiv.org, revised Dec 2025.
    46. Zhang, Yaojie & He, Mengxi & Wen, Danyan & Wang, Yudong, 2023. "Forecasting crude oil price returns: Can nonlinearity help?," Energy, Elsevier, vol. 262(PB).
    47. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," NBER Working Papers 25398, National Bureau of Economic Research, Inc.
    48. Biao Guo & Hai Lin, 2020. "Volatility and jump risk in option returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1767-1792, November.
    49. Jiang, Fuwei & Liu, Hongkui & Tang, Guohao & Yu, Jiasheng, 2024. "Global mispricing matters," Journal of International Money and Finance, Elsevier, vol. 147(C).
    50. Arasteh, Abdollah, 2025. "A data-driven prediction method for multi-period portfolio optimization using the real options approach," Finance Research Letters, Elsevier, vol. 80(C).
    51. Wang, Yunqi & Zhou, Ti, 2023. "Out-of-sample equity premium prediction: The role of option-implied constraints," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 199-226.
    52. Mihnea Constantinescu, 2023. "Sparse Warcasting," Working Papers 01/2023, National Bank of Ukraine.
    53. Tingting Cheng & Jiachen Cong & Fei Liu & Xuanbin Yang, 2025. "Binary Response Forecasting under a Factor-Augmented Framework," Papers 2507.16462, arXiv.org.
    54. Kashif Yousuf & Serena Ng, 2019. "Boosting High Dimensional Predictive Regressions with Time Varying Parameters," Papers 1910.03109, arXiv.org.
    55. Caio Vigo Pereira, 2020. "Portfolio Efficiency with High-Dimensional Data as Conditioning Information," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202015, University of Kansas, Department of Economics, revised Sep 2020.
    56. Zhikai Zhang & Yaojie Zhang & Yudong Wang & Qunwei Wang, 2024. "The predictability of carbon futures volatility: New evidence from the spillovers of fossil energy futures returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 557-584, April.
    57. Hai Lin & Chunchi Wu & Guofu Zhou, 2018. "Forecasting Corporate Bond Returns with a Large Set of Predictors: An Iterated Combination Approach," Management Science, INFORMS, vol. 64(9), pages 4218-4238, September.
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