IDEAS home Printed from https://ideas.repec.org/r/ucp/jpolec/doi10.1086-714090.html

Asset Pricing with Omitted Factors

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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).
  2. 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.
  3. 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).
  4. 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.
  5. 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.
  6. Kleibergen, Frank & Zhan, Zhaoguo, 2025. "Risk premia from the cross-section of individual assets," Journal of Econometrics, Elsevier, vol. 252(PA).
  7. Constantinos Kardaras & Hyeng Keun Koo & Johannes Ruf, 2022. "Estimation of growth in fund models," Papers 2208.02573, arXiv.org.
  8. Jianqing Fan & Yuling Yan & Yuheng Zheng, 2024. "When can weak latent factors be statistically inferred?," Papers 2407.03616, arXiv.org, revised Sep 2024.
  9. 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.
  10. 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).
  11. 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.
  12. 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.
  13. Hounyo, Ulrich & Li, Zhendong, 2026. "Forecasting economic time series in the presence of weak factors: Multiple supervised learning-based approach," International Journal of Forecasting, Elsevier, vol. 42(2), pages 414-433.
  14. Jozef Barunik & Mattia Bevilacqua & Michael Ellington, 2023. "Common Firm-level Investor Fears: Evidence from Equity Options," Papers 2309.03968, arXiv.org.
  15. 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.
  16. 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.
  17. 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.
  18. Adam Baybutt, 2024. "Empirical Crypto Asset Pricing," Papers 2405.15716, arXiv.org.
  19. Matteo Bagnara & Benoit Vaucher, 2025. "Performance Misattributions," Journal of Asset Management, Palgrave Macmillan, vol. 26(7), pages 883-894, December.
  20. 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.
  21. 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.
  22. 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.
  23. Zhaoxing Gao & Ruey S. Tsay, 2023. "Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors," Papers 2307.07689, arXiv.org.
  24. 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.
  25. Antonio Marsi, 2023. "Predicting European stock returns using machine learning," SN Business & Economics, Springer, vol. 3(7), pages 1-25, July.
  26. Dickerson, Alexander & Julliard, Christian & Mueller, Philippe, 2026. "The co-pricing factor zoo," Journal of Financial Economics, Elsevier, vol. 182(C).
  27. 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.
  28. 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.
  29. 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).
  30. 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.
  31. Fan, Qingliang & Wu, Ruike & Yang, Yanrong & Zhong, Wei, 2024. "Time-varying minimum variance portfolio," Journal of Econometrics, Elsevier, vol. 239(2).
  32. 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.
  33. Matias D. Cattaneo & Richard K. Crump & Weining Wang, 2022. "Beta-Sorted Portfolios," Papers 2208.10974, arXiv.org, revised Nov 2024.
  34. 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.
  35. Yuan Liao & Viktor Todorov, 2024. "Changes in the span of systematic risk exposures," Quantitative Economics, Econometric Society, vol. 15(3), pages 817-847, July.
  36. 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.
  37. Mikhail Chernov & Magnus Dahlquist & Lars Lochstoer, 2023. "Pricing Currency Risks," Journal of Finance, American Finance Association, vol. 78(2), pages 693-730, April.
  38. Markus Pelger, 2020. "Understanding Systematic Risk: A High‐Frequency Approach," Journal of Finance, American Finance Association, vol. 75(4), pages 2179-2220, August.
  39. 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).
  40. 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.
  41. 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.
  42. Asano, Takao & Cai, Xiaojing & Sakemoto, Ryuta, 2024. "Currency portfolios and global foreign exchange ambiguity," Finance Research Letters, Elsevier, vol. 65(C).
  43. 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.
  44. Fabio Franceschini, 2025. "The Innovation Long-Run Risk Component," Working Papers wp1215, Dipartimento Scienze Economiche, Universita' di Bologna.
  45. Zhipeng Liao & Yan Liu & Zhenzhen Xie, 2024. "Optimal Cross-Sectional Regression," Management Science, INFORMS, vol. 70(11), pages 7911-7942, November.
  46. 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).
  47. 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).
  48. Paul Goldsmith-Pinkham & Tianshu Lyu, 2025. "Causal Inference in Financial Event Studies," Papers 2511.15123, arXiv.org.
  49. 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).
  50. 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.
  51. Vafai, Nima & Rakowski, David, 2024. "The sources of portfolio volatility and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 91(C).
  52. 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.
  53. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
  54. 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.
  55. Alexander Arimond & Damian S. Borth & Sergio Garcia-Vega & Maretno Harjoto & Andreas G. F. Hoepner & Michael Klawunn & Stefan Weisheit, 2026. "Neural Networks and Value at Risk in Asset Management," Review of Quantitative Finance and Accounting, Springer, vol. 67(1), pages 277-316, July.
  56. 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.
  57. Ryuta Sakemoto, 2025. "Time‐varying group common factors in the stock market anomalies," The Financial Review, Eastern Finance Association, vol. 60(2), pages 481-507, May.
  58. Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2026. "Consumption in asset returns," LSE Research Online Documents on Economics 126152, London School of Economics and Political Science, LSE Library.
  59. 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.
  60. Langlois, Hugues, 2023. "What matters in a characteristic?," Journal of Financial Economics, Elsevier, vol. 149(1), pages 52-72.
  61. 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).
  62. Gregory, Richard P., 2024. "Risk premiums from temperature trends," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 505-525.
  63. 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.
  64. Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," Papers 1912.02151, arXiv.org, revised Aug 2022.
  65. Adam Baybutt, 2024. "Dynamic Latent-Factor Model with High-Dimensional Asset Characteristics," Papers 2405.15721, arXiv.org.
  66. 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.
  67. 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).
  68. Kei Nakagawa & Ryuta Sakemoto, 2025. "Prices of Risk Estimation for Commodity Factors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(11), pages 2151-2165, November.
  69. Hollstein, Fabian & Prokopczuk, Marcel, 2022. "Testing Factor Models in the Cross-Section," Journal of Banking & Finance, Elsevier, vol. 145(C).
  70. 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.
  71. Nicola Borri & Denis Chetverikov & Yukun Liu & Aleh Tsyvinski, 2024. "One Factor to Bind the Cross-Section of Returns," Papers 2404.08129, arXiv.org.
  72. 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).
  73. 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.
  74. 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).
  75. Runyu Dai & Yasumasa Matsuda, 2026. "Estimation of High-Dimensional Volatility Matrices with Dynamic Conditional Correlation-embedded Mixed Factor Structures," DSSR Discussion Papers 152, Graduate School of Economics and Management, Tohoku University.
  76. 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).
  77. Felix Haase & Matthias Neuenkirch, 2023. "Macroeconomic Expectations and State-Dependent Factor Returns," CESifo Working Paper Series 10720, CESifo.
  78. Chen, Dachuan & Lu, Wenqi & Xie, Siyu, 2025. "High frequency factor analysis with partially observable factors," Journal of Econometrics, Elsevier, vol. 251(C).
  79. Wang, Ming-Long & Shi, Huai-Long & Wan, Yu-Lei & Wang, Jing-Jin, 2026. "Luck “duels” among factors in China," The Quarterly Review of Economics and Finance, Elsevier, vol. 106(C).
  80. 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.
  81. 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.
  82. Matteo Bagnara, 2024. "Asset Pricing and Machine Learning: A critical review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 27-56, February.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.