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Asset Pricing with Omitted Factors

Citations

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Cited by:

  1. 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).
  2. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
  3. Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2023. "Bayesian solutions for the factor zoo: we just ran two quadrillion models," LSE Research Online Documents on Economics 126151, London School of Economics and Political Science, LSE Library.
  4. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
  5. Hollstein, Fabian & Prokopczuk, Marcel, 2022. "Testing Factor Models in the Cross-Section," Journal of Banking & Finance, Elsevier, vol. 145(C).
  6. 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.
  7. Nicola Borri & Denis Chetverikov & Yukun Liu & Aleh Tsyvinski, 2024. "One Factor to Bind the Cross-Section of Returns," Papers 2404.08129, arXiv.org.
  8. Giuseppe Cavaliere & Sílvia Gonçalves & Morten Ørregaard Nielsen & Edoardo Zanelli, 2024. "Bootstrap Inference in the Presence of Bias," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 119(548), pages 2908-2918, October.
  9. Lee, Kiryoung & Joen, Yoontae & Kim, Minki, 2022. "Which uncertainty measures matter for the cross-section of stock returns?#," Finance Research Letters, Elsevier, vol. 46(PB).
  10. 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.
  11. Kwon, Tae Yeon, 2025. "Feature importance in linear models with ensemble machine learning: A study of the Fama and French five-factor model," Finance Research Letters, Elsevier, vol. 71(C).
  12. Ahmed, Shamim & Bu, Ziwen & Symeonidis, Lazaros & Tsvetanov, Daniel, 2023. "Which factor model? A systematic return covariation perspective," Journal of International Money and Finance, Elsevier, vol. 136(C).
  13. Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2025. "Panel Data Estimation and Inference: Homogeneity versus Heterogeneity," Monash Econometrics and Business Statistics Working Papers 2/25, Monash University, Department of Econometrics and Business Statistics.
  14. Jiangtao Duan & Jushan Bai & Xu Han, 2025. "Taxonomy and Estimation of Multiple Breakpoints in High-Dimensional Factor Models," Papers 2503.06645, arXiv.org, revised Apr 2026.
  15. Jie Wei & Yonghui Zhang, 2023. "Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?," Papers 2305.05934, arXiv.org, revised Nov 2024.
  16. Vafai, Nima & Rakowski, David, 2024. "The sources of portfolio volatility and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 91(C).
  17. Svetlana Bryzgalova & Jiantao Huang & Christian Julliard, 2023. "Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models," Journal of Finance, American Finance Association, vol. 78(1), pages 487-557, February.
  18. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
  19. Fousseni Chabi-Yo & Andrei S. Gonçalves & Johnathan A. Loudis, 2025. "An Intertemporal Risk Factor Model," Management Science, INFORMS, vol. 71(8), pages 6518-6544, August.
  20. Zhaoxing Gao & Ruey S. Tsay, 2023. "Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors," Papers 2307.07689, arXiv.org.
  21. Kleibergen, Frank & Zhan, Zhaoguo, 2025. "Risk premia from the cross-section of individual assets," Journal of Econometrics, Elsevier, vol. 252(PA).
  22. Avis Devine & Andrew Sanderford & Chongyu Wang, 2024. "Sustainability and Private Equity Real Estate Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 161-187, February.
  23. Constantinos Kardaras & Hyeng Keun Koo & Johannes Ruf, 2022. "Estimation of growth in fund models," Papers 2208.02573, arXiv.org.
  24. Hasannasab, Maryam & Margaritis, Dimitris & Psillaki, Maria, 2025. "Are big banks too-big-to-fail? An investigation into the size premium and scale economies for European banks," International Review of Financial Analysis, Elsevier, vol. 107(C).
  25. Jianqing Fan & Yuling Yan & Yuheng Zheng, 2024. "When can weak latent factors be statistically inferred?," Papers 2407.03616, arXiv.org, revised Sep 2024.
  26. Antonio Marsi, 2023. "Predicting European stock returns using machine learning," SN Business & Economics, Springer, vol. 3(7), pages 1-25, July.
  27. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
  28. Saketh Aleti & Tim Bollerslev & Mathias Siggaard, 2025. "Intraday Market Return Predictability Culled from the Factor Zoo," Management Science, INFORMS, vol. 71(9), pages 7731-7751, September.
  29. Lee, Hsiu-Chuan & Lee, Yun-Huan & Nguyen, Cuong, 2023. "Tail comovements of implied volatility indices and global index futures returns predictability," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
  30. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  31. Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2024. "Consumption in asset returns," LSE Research Online Documents on Economics 126152, London School of Economics and Political Science, LSE Library.
  32. 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.
  33. Hui Chen & Winston Wei Dou & Leonid Kogan, 2024. "Measuring “Dark Matter” in Asset Pricing Models," Journal of Finance, American Finance Association, vol. 79(2), pages 843-902, April.
  34. Langlois, Hugues, 2023. "What matters in a characteristic?," Journal of Financial Economics, Elsevier, vol. 149(1), pages 52-72.
  35. 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.
  36. Dashan Huang & Fuwei Jiang & Kunpeng Li & Guoshi Tong & Guofu Zhou, 2022. "Scaled PCA: A New Approach to Dimension Reduction," Management Science, INFORMS, vol. 68(3), pages 1678-1695, March.
  37. Hsuan Fu & Shu-Fu Lee & Jui-Chung Yang, 2026. "Time-varying betas in foreign exchange returns: An IPCA approach," Review of Quantitative Finance and Accounting, Springer, vol. 66(3), pages 1253-1281, April.
  38. Felix Haase & Matthias Neuenkirch, 2023. "Macroeconomic Expectations and State-Dependent Factor Returns," CESifo Working Paper Series 10720, CESifo.
  39. Mao, Jie & Xia, Xiaobao & Zhuo, Haotian, 2025. "Taming the factor zoo in China’s equity market: A Bayesian approach," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
  40. Gregory, Richard P., 2024. "Risk premiums from temperature trends," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 505-525.
  41. Choi, Sung Hoon & Kim, Donggyu, 2023. "Large volatility matrix analysis using global and national factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1917-1933.
  42. Belloni, Alexandre & Chen, Mingli & Madrid Padilla, Oscar Hernan & Wang, Zixuan (Kevin), 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," The Warwick Economics Research Paper Series (TWERPS) 1230, University of Warwick, Department of Economics.
  43. Chen, Dachuan & Lu, Wenqi & Xie, Siyu, 2025. "High frequency factor analysis with partially observable factors," Journal of Econometrics, Elsevier, vol. 251(C).
  44. 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).
  45. Alexander Dickerson & Christian Julliard & Philippe Mueller, 2026. "The Co-Pricing Factor Zoo," Papers 2604.04430, arXiv.org.
  46. Jozef Barunik & Mattia Bevilacqua & Michael Ellington, 2023. "Common Firm-level Investor Fears: Evidence from Equity Options," Papers 2309.03968, arXiv.org.
  47. Muhammad Abdullah & Hussein A. Abdou & Christopher Godfrey & Ahmed A. Elamer & Yousry Ahmed, 2023. "Assessing the Use of Gold as a Zero-Beta Asset in Empirical Asset Pricing: Application to the US Equity Market," JRFM, MDPI, vol. 16(3), pages 1-48, March.
  48. Stefano Giglio & Bryan Kelly & Serhiy Kozak, 2024. "Equity Term Structures without Dividend Strips Data," Journal of Finance, American Finance Association, vol. 79(6), pages 4143-4196, December.
  49. Fan, Qingliang & Wu, Ruike & Yang, Yanrong & Zhong, Wei, 2024. "Time-varying minimum variance portfolio," Journal of Econometrics, Elsevier, vol. 239(2).
  50. Liyuan Cui & Yongmiao Hong & Yingxing Li & Junhui Wang, 2024. "A Regularized High-Dimensional Positive Definite Covariance Estimator with High-Frequency Data," Management Science, INFORMS, vol. 70(10), pages 7242-7264, October.
  51. Matias D. Cattaneo & Richard K. Crump & Weining Wang, 2022. "Beta-Sorted Portfolios," Papers 2208.10974, arXiv.org, revised Nov 2024.
  52. Ting Zhang & Haibin Xie, 2026. "Stock Return Forecasting: A Supervised PCA With Selecting and Scaling," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(2), pages 547-562, March.
  53. Yuan Liao & Viktor Todorov, 2024. "Changes in the span of systematic risk exposures," Quantitative Economics, Econometric Society, vol. 15(3), pages 817-847, July.
  54. Adam Baybutt, 2024. "Dynamic Latent-Factor Model with High-Dimensional Asset Characteristics," Papers 2405.15721, arXiv.org.
  55. Federico Nucera & Lucio Sarno & Gabriele Zinna, 2024. "Currency Risk Premiums Redux," The Review of Financial Studies, Society for Financial Studies, vol. 37(2), pages 356-408.
  56. Ryan Engel & Yu Chen & Pawel Polak & Ioana Boier, 2025. "Scaling Conditional Autoencoders for Portfolio Optimization via Uncertainty-Aware Factor Selection," Papers 2511.17462, arXiv.org.
  57. Mikhail Chernov & Magnus Dahlquist & Lars Lochstoer, 2023. "Pricing Currency Risks," Journal of Finance, American Finance Association, vol. 78(2), pages 693-730, April.
  58. Markus Pelger, 2020. "Understanding Systematic Risk: A High‐Frequency Approach," Journal of Finance, American Finance Association, vol. 75(4), pages 2179-2220, August.
  59. Manuel Franco & Juana-María Vivo, 2026. "Embedding risks models in asset pricing from expert-based knowledge: the case of agricultural lands," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-33, December.
  60. Calice, Giovanni & Lin, Ming-Tsung, 2021. "Exploring risk premium factors for country equity returns," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 294-322.
  61. Wan, Runzhe & Li, Yingying & Lu, Wenbin & Song, Rui, 2024. "Mining the factor zoo: Estimation of latent factor models with sufficient proxies," Journal of Econometrics, Elsevier, vol. 239(2).
  62. 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).
  63. Esfandiar Maasoumi & Jianqiu Wang & Zhuo Wang & Ke Wu, 2024. "Identifying factors via automatic debiased machine learning," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 438-461, April.
  64. 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.
  65. Yi‐Shuai Ren & Tony Klein & Ngoc Quang Anh Huynh & Xukang Liu, 2026. "Is the Stock Market Performance Vulnerable to the Russian–Ukrainian War? Evidence From the Twitter Sentiment Index," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 1444-1471, January.
  66. Asano, Takao & Cai, Xiaojing & Sakemoto, Ryuta, 2024. "Currency portfolios and global foreign exchange ambiguity," Finance Research Letters, Elsevier, vol. 65(C).
  67. Cynthia M. Gong & Di Luo & Huainan Zhao, 2021. "Liquidity risk and the beta premium," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 789-814, December.
  68. Adam Baybutt, 2024. "Empirical Crypto Asset Pricing," Papers 2405.15716, arXiv.org.
  69. Minshuo Chen & Renyuan Xu & Yumin Xu & Ruixun Zhang, 2025. "Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure," Papers 2504.06566, arXiv.org, revised Jan 2026.
  70. Matteo Bagnara & Benoit Vaucher, 2025. "Performance Misattributions," Journal of Asset Management, Palgrave Macmillan, vol. 26(7), pages 883-894, December.
  71. Fabio Franceschini, 2025. "The Innovation Long-Run Risk Component," Working Papers wp1215, Dipartimento Scienze Economiche, Universita' di Bologna.
  72. Zhipeng Liao & Yan Liu & Zhenzhen Xie, 2024. "Optimal Cross-Sectional Regression," Management Science, INFORMS, vol. 70(11), pages 7911-7942, November.
  73. Shi, Huai-Long & Chen, Huayi, 2023. "Revisiting asset co-movement: Does network topology really matter?," Research in International Business and Finance, Elsevier, vol. 66(C).
  74. Amjad Taha & Gulcay Tuna, 2023. "Oil Price and Composite Risk Exposure within International Capital Asset Pricing Model: A Case of Saudi Arabia and Turkey," Energies, MDPI, vol. 16(7), pages 1-18, March.
  75. Matteo Bagnara, 2024. "Asset Pricing and Machine Learning: A critical review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 27-56, February.
  76. 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.
  77. Jia, Yuecheng & Simkins, Betty & Yan, Shu & Zhang, Hongyu & Zhao, Jiangyu, 2026. "Psychological anchoring effect and cross section of cryptocurrency returns," Journal of Banking & Finance, Elsevier, vol. 182(C).
  78. Paul Goldsmith-Pinkham & Tianshu Lyu, 2025. "Causal Inference in Financial Event Studies," Papers 2511.15123, arXiv.org.
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