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Guofu Zhou

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.

Working papers

  1. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2010. "Out-of-sample equity premium prediction: economic fundamentals vs. moving-average rules," Working Papers 2010-008, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Amélie Charles & Olivier Darné & Jae H. Kim, 2022. "Stock return predictability: Evaluation based on interval forecasts," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 363-385, April.
    2. Runze Jiang & Yuping Song, 2026. "On Capturing Multi‐Scale Market Dynamics for High‐Frequency Stock Price Forecasting Using a Hybrid Attention‐Based Deep Learning Model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(4), pages 1399-1420, July.
    3. Faria, Gonçalo & Verona, Fabio, 2023. "Forecast combination in the frequency domain," Bank of Finland Research Discussion Papers 1/2023, Bank of Finland.
    4. Sebastian Stöckl & Lars Kaiser, 2021. "Higher moments matter! Cross‐sectional (higher) moments and the predictability of stock returns," Review of Financial Economics, John Wiley & Sons, vol. 39(4), pages 455-481, October.
    5. Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
    6. Chen, Kuan-Hau & Su, Xuan-Qi & Lin, Li-Feng & Shih, Yi-Cheng, 2021. "Profitability of moving-average technical analysis over the firm life cycle: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    7. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Su, Yuandong & Lu, Xinjie & Zeng, Qing & Huang, Dengshi, 2022. "Good air quality and stock market returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    9. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
    10. Eom, Cheoljun & Park, Jong Won, 2023. "Price behavior of small-cap stocks and momentum: A study using principal component momentum," Research in International Business and Finance, Elsevier, vol. 65(C).
    11. Smith, Simon C., 2017. "Equity premium estimates from economic fundamentals under structural breaks," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 49-61.
    12. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    13. Hardy, Nicolas & Korobilis, Dimitris, 2026. "Generalized Bayesian Composite Quantile Regression with an Application to Equity Premium Forecasting," MPRA Paper 128752, University Library of Munich, Germany.
    14. Zhenxiong Li & Xinfeng Ruan & Xingzhi Yao, 2026. "Predicting Market Returns Using Covariance Asymmetry Risk Premium," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(2), pages 435-462, February.
    15. Scholz, Michael & Nielsen, Jens Perch & Sperlich, Stefan, 2015. "Nonparametric prediction of stock returns based on yearly data: The long-term view," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 143-155.
    16. Henriques, Irene & Sadorsky, Perry, 2023. "Forecasting rare earth stock prices with machine learning," Resources Policy, Elsevier, vol. 86(PA).
    17. Viet Anh Nguyen & Fan Zhang & Shanshan Wang & José Blanchet & Erick Delage & Yinyu Ye, 2025. "Robustifying Conditional Portfolio Decisions via Optimal Transport," Operations Research, INFORMS, vol. 73(5), pages 2801-2829, September.
    18. Vortelinos, Dimitrios I., 2017. "Forecasting realized volatility: HAR against Principal Components Combining, neural networks and GARCH," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 824-839.
    19. Qingxiang Han & Mengxi He & Yaojie Zhang & Muhammad Umar, 2023. "Default return spread: A powerful predictor of crude oil price returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1786-1804, November.
    20. Fernando M. Duarte & Carlo Rosa, 2015. "The equity risk premium: a review of models," Economic Policy Review, Federal Reserve Bank of New York, issue 2, pages 39-57.
    21. Shi Yafeng & Tao Xiangxing & Shi Yanlong & Zhu Nenghui & Ying Tingting & Peng Xun, 2020. "Can Technical Indicators Provide Information for Future Volatility: International Evidence," Journal of Systems Science and Information, De Gruyter, vol. 8(1), pages 53-66, February.
    22. Lu, Xinjie & Ma, Feng & Guo, Qiang & Wang, Tianyang, 2025. "Financial risk management innovation in global commodity futures markets: A macroeconomic attention perspective," Pacific-Basin Finance Journal, Elsevier, vol. 92(C).
    23. Wen, Chufu & Zhu, Haoyang & Dai, Zhifeng, 2023. "Forecasting commodity prices returns: The role of partial least squares approach," Energy Economics, Elsevier, vol. 125(C).
    24. Liu, Jing & Ma, Feng & Zhang, Yaojie, 2019. "Forecasting the Chinese stock volatility across global stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 466-477.
    25. Ma, Feng & Lu, Fei & Tao, Ying, 2022. "Geopolitical risk and excess stock returns predictability: New evidence from a century of data," Finance Research Letters, Elsevier, vol. 50(C).
    26. Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.
    27. Shi, Qi & Li, Bin, 2022. "Further evidence on financial information and economic activity forecasts in the United States," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    28. Mei, Dexiang & Zeng, Qing & Zhang, Yaojie & Hou, Wenjing, 2018. "Does US Economic Policy Uncertainty matter for European stock markets volatility?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 215-221.
    29. Yin, Libo & Su, Zhi & Lu, Man, 2022. "Is oil risk important for commodity-related currency returns?," Research in International Business and Finance, Elsevier, vol. 60(C).
    30. Wang, Yudong & Hao, Xianfeng, 2022. "Forecasting the real prices of crude oil: A robust weighted least squares approach," Energy Economics, Elsevier, vol. 116(C).
    31. Xu, Yongan & Liang, Chao & Wang, Jianqiong, 2023. "Financial stress and returns predictability: Fresh evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    32. Davide Pettenuzzo & Zhiyuan Pan & Yudong Wang, 2017. "Forecasting Stock Returns: A Predictor-Constrained Approach," Working Papers 116R, Brandeis University, Department of Economics and International Business School, revised Feb 2018.
    33. Taylor, Mark & Hsu, Po-Hsuan & Wang, Zigan, 2020. "The Out-of-Sample Performance of Carry Trades," CEPR Discussion Papers 15052, Centre for Economic Policy Research.
    34. Wang, Jiqian & Lu, Xinjie & He, Feng & Ma, Feng, 2020. "Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    35. Matthew Lorig & Zhou Zhou & Bin Zou, 2017. "A Mathematical Analysis of Technical Analysis," Papers 1710.09476, arXiv.org, revised Feb 2019.
    36. Mingwei Sun & Paskalis Glabadanidis, 2022. "Can technical indicators predict the Chinese equity risk premium?," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 114-142, March.
    37. Zhufeng Wang & Lu Wang & Zitao Zhang, 2026. "Predicting New Energy Prices: Are Technical Indicators and Regime-Switching Models Helpful?," Evaluation Review, , vol. 50(3), pages 315-345, June.
    38. Zarrabi, Nima & Snaith, Stuart & Coakley, Jerry, 2017. "FX technical trading rules can be profitable sometimes!," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 113-127.
    39. Tzeng, Kae-Yih & Su, Yi-Kai, 2024. "Can U.S. macroeconomic indicators forecast cryptocurrency volatility?," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    40. Heping Xiong & Chao Tang & Jianhui Cao & Haitao Zhang, 2025. "A New Four-factor Model for the Chinese Stock Market," Annals of Economics and Finance, Society for AEF, vol. 26(2), pages 853-890, November.
    41. Katsafados, Apostolos G. & Leledakis, George N. & Panagiotou, Nikolaos P. & Pyrgiotakis, Emmanouil G., 2024. "Can central bankers’ talk predict bank stock returns? A machine learning approach," MPRA Paper 122899, University Library of Munich, Germany.
    42. Apergis, Nicholas & Gupta, Rangan, 2017. "Can (unusual) weather conditions in New York predict South African stock returns?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 377-386.
    43. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    44. Koo, Bonsoo & Anderson, Heather M. & Seo, Myung Hwan & Yao, Wenying, 2020. "High-dimensional predictive regression in the presence of cointegration," Journal of Econometrics, Elsevier, vol. 219(2), pages 456-477.
    45. Aladesanmi, Olalekan & Casalin, Fabrizio & Metcalf, Hugh, 2019. "Stock market integration between the UK and the US: Evidence over eight decades," Global Finance Journal, Elsevier, vol. 41(C), pages 32-43.
    46. Vecchi, Edoardo & Berra, Gabriele & Albrecht, Steffen & Gagliardini, Patrick & Horenko, Illia, 2023. "Entropic approximate learning for financial decision-making in the small data regime," Research in International Business and Finance, Elsevier, vol. 65(C).
    47. Zhang, Dan & Li, Biangxiang, 2022. "What can we learn from financial stress indicator?," Finance Research Letters, Elsevier, vol. 50(C).
    48. Hyder Ali & Salma Naz, 2025. "Forecasting Equity Premium in the Face of Climate Policy Uncertainty," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 513-546, March.
    49. Dat Thanh Tran & Alexandros Iosifidis & Juho Kanniainen & Moncef Gabbouj, 2017. "Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis," Papers 1712.00975, arXiv.org.
    50. Tian, Guangning & Peng, Yuchao & Meng, Yuhao, 2023. "Forecasting crude oil prices in the COVID-19 era: Can machine learn better?," Energy Economics, Elsevier, vol. 125(C).
    51. Diego Pitta Jesus & Elvira Helena Oliveira Medeiros & Lucas Lúcio Godeiro & Andressa Lemes Proque, 2025. "Forecasting Brazilian Stock Market Using Sentiment Indices from Textual Data, Chat-GPT-Based and Technical Indicators," Computational Economics, Springer;Society for Computational Economics, vol. 66(5), pages 3735-3780, November.
    52. Lu, Fei & Ma, Feng, 2023. "Cross-sectional uncertainty and stock market volatility: New evidence," Finance Research Letters, Elsevier, vol. 57(C).
    53. Hung, Chiayu & Lai, Hung-Neng, 2022. "Information asymmetry and the profitability of technical analysis," Journal of Banking & Finance, Elsevier, vol. 134(C).
    54. 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).
    55. Un, Kuok Sin & Ausloos, Marcel, 2022. "Equity premium prediction: Taking into account the role of long, even asymmetric, swings in stock market behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    56. Haibin Xie & Shouyang Wang, 2015. "Risk-return trade-off, information diffusion, and U.S. stock market predictability," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-20, December.
    57. Maria Ghani & Quande Qin & Subuhi Khan, 2025. "Modeling Volatility Dynamics in Emerging Markets: Novel Evidence From Large Set of Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(8), pages 2364-2385, December.
    58. Xiaojun Chu & Jianying Qiu, 2021. "Forecasting stock returns using first half an hour order imbalance," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3236-3245, July.
    59. Gebka, Bartosz, 2025. "Explaining the causality between trading volume and stock returns: What drives its cross-quantile patterns?," Economic Modelling, Elsevier, vol. 148(C).
    60. Xin-Lan Fu & Xing-Lu Gao & Zheng Shan & Zhi-Qiang Jiang & Wei-Xing Zhou, 2018. "Multifractal characteristics and return predictability in the Chinese stock markets," Papers 1806.07604, arXiv.org.
    61. Sander, Magnus, 2018. "Market timing over the business cycle," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 130-145.
    62. Panpan Zhu & Xing Zhang & You Wu & Hao Zheng & Yinpeng Zhang, 2021. "Investor attention and cryptocurrency: Evidence from the Bitcoin market," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-28, February.
    63. Ledoit, Olivier & Wolf, Michael, 2025. "Markowitz portfolios under transaction costs," The Quarterly Review of Economics and Finance, Elsevier, vol. 100(C).
    64. Song, Yixuan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2023. "Forecasting crude oil prices: A reduced-rank approach," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 698-711.
    65. Ma, Feng & Lu, Xinjie & Liu, Jia & Huang, Dengshi, 2022. "Macroeconomic attention and stock market return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    66. José Afonso Faias & Juan Arismendi Zambrano, 2022. "Equity Risk Premium Predictability from Cross-Sectoral Downturns [International asset allocation with regime shifts]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(3), pages 808-842.
    67. Cao, Yangfan & Choo, Wei Chong & Matemilola, Bolaji Tunde, 2025. "Value-at-risk forecasting- based on textual information and a hybrid deep learning-based approach," International Review of Economics & Finance, Elsevier, vol. 103(C).
    68. Felix Haase, 2024. "Sum-of-the-Parts Revised: Economic Regimes and Flexible Probabilities," Research Papers in Economics 2024-10, University of Trier, Department of Economics.
    69. Huadong Chang & Guozhi An, 2019. "Will History Repeat Itself? Empirical Research on A-Share Candlesticks in China Based on Matching Method," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(5), pages 1-8.
    70. 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).
    71. Luo, Jiawen & Klein, Tony & Ji, Qiang & Hou, Chenghan, 2022. "Forecasting realized volatility of agricultural commodity futures with infinite Hidden Markov HAR models," International Journal of Forecasting, Elsevier, vol. 38(1), pages 51-73.
    72. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    73. Massoud Metghalchi & Linda A. Hayes & Farhang Niroomand, 2019. "A technical approach to equity investing in emerging markets," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 389-403, July.
    74. Keith S. K. Lam & Liang Dong & Bo Yu, 2019. "Value Premium and Technical Analysis: Evidence from the China Stock Market," Economies, MDPI, vol. 7(3), pages 1-21, September.
    75. Liang, Chao & Ma, Feng & Li, Ziyang & Li, Yan, 2020. "Which types of commodity price information are more useful for predicting US stock market volatility?," Economic Modelling, Elsevier, vol. 93(C), pages 642-650.
    76. 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.
    77. Viet Anh Nguyen & Fan Zhang & Shanshan Wang & Jose Blanchet & Erick Delage & Yinyu Ye, 2021. "Robustifying Conditional Portfolio Decisions via Optimal Transport," Papers 2103.16451, arXiv.org, revised Apr 2024.
    78. Li, Zhao-Chen & Xie, Chi & Wang, Gang-Jin & Zhu, You & Long, Jian-You & Zhou, Yang, 2023. "Forecasting stock market volatility under parameter and model uncertainty," Research in International Business and Finance, Elsevier, vol. 66(C).
    79. Gerritsen, Dirk F. & Bouri, Elie & Ramezanifar, Ehsan & Roubaud, David, 2020. "The profitability of technical trading rules in the Bitcoin market," Finance Research Letters, Elsevier, vol. 34(C).
    80. Buncic, Daniel & Stern, Cord, 2019. "Forecast ranked tailored equity portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    81. Zhang, Yaojie & Wei, Yu & Zhang, Yi & Jin, Daxiang, 2019. "Forecasting oil price volatility: Forecast combination versus shrinkage method," Energy Economics, Elsevier, vol. 80(C), pages 423-433.
    82. Guidolin, Massimo & Hansen, Erwin & Cabrera, Gabriel, 2025. "Time-varying risk aversion and international stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    83. Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
    84. Ma, Tian & Li, Ganghui & Zhang, Huajing, 2024. "Stock return predictability using economic narrative: Evidence from energy sectors," Journal of Commodity Markets, Elsevier, vol. 35(C).
    85. Kartikay Gupta & Niladri Chatterjee, 2021. "Stocks Recommendation from Large Datasets Using Important Company and Economic Indicators," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 667-689, December.
    86. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    87. He, Mengxi & Wang, Yudong & Zeng, Qing & Zhang, Yaojie, 2023. "Forecasting aggregate stock market volatility with industry volatilities: The role of spillover index," Research in International Business and Finance, Elsevier, vol. 65(C).
    88. Lin, Qi, 2021. "The q5 model and its consistency with the intertemporal CAPM," Journal of Banking & Finance, Elsevier, vol. 127(C).
    89. Yaojie Zhang & Mengxi He & Danyan Wen & Yudong Wang, 2022. "Forecasting Bitcoin volatility: A new insight from the threshold regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 633-652, April.
    90. Ma, Chenyao & Yan, Sheng, 2022. "Deep learning in the Chinese stock market: The role of technical indicators," Finance Research Letters, Elsevier, vol. 49(C).
    91. Haase, Felix & Neuenkirch, Matthias, 2023. "Predictability of bull and bear markets: A new look at forecasting stock market regimes (and returns) in the US," International Journal of Forecasting, Elsevier, vol. 39(2), pages 587-605.
    92. Paskalis Glabadanidis, 2014. "The Market Timing Power of Moving Averages: Evidence from US REITs and REIT Indexes," International Review of Finance, International Review of Finance Ltd., vol. 14(2), pages 161-202, June.
    93. Zhang, Yaojie & Tian, Linxing & Zhang, Zhikai, 2025. "Petroleum volatility spillover index and stock return predictability," Energy Economics, Elsevier, vol. 150(C).
    94. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
    95. Bley, Jorg & Saad, Mohsen, 2020. "An analysis of technical trading rules: The case of MENA markets," Finance Research Letters, Elsevier, vol. 33(C).
    96. Gunduz Caginalp & Mark DeSantis, 2019. "Nonlinear price dynamics of S&P 100 stocks," Papers 1907.04422, arXiv.org.
    97. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
    98. Kentaro Imajo & Kentaro Minami & Katsuya Ito & Kei Nakagawa, 2020. "Deep Portfolio Optimization via Distributional Prediction of Residual Factors," Papers 2012.07245, arXiv.org.
    99. Liu, Li & Ma, Feng & Wang, Yudong, 2015. "Forecasting excess stock returns with crude oil market data," Energy Economics, Elsevier, vol. 48(C), pages 316-324.
    100. Gebka, Bartosz & Wohar, Mark E., 2019. "Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 1-25.
    101. Yaojie Zhang & Mengxi He & Yuqi Zhao & Xianfeng Hao, 2023. "Predicting stock realized variance based on an asymmetric robust regression approach," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1022-1047, October.
    102. Yuan, Xianghui & Li, Xiang, 2022. "Delta-hedging demand and intraday momentum: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    103. 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.
    104. Hubert Dichtl, 2020. "Investing in the S&P 500 index: Can anything beat the buy‐and‐hold strategy?," Review of Financial Economics, John Wiley & Sons, vol. 38(2), pages 352-378, April.
    105. Nuno Silva, 2013. "Equity Premia Predictability in the EuroZone," GEMF Working Papers 2013-22, GEMF, Faculty of Economics, University of Coimbra.
    106. Lin, Qi & Lin, Xi, 2021. "Are the profitability and investment factors valid ICAPM risk factors? Pre-1963 evidence," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    107. Li, Kaixin & Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil returns with oil-related industry ESG indices," Journal of Commodity Markets, Elsevier, vol. 36(C).
    108. Yamani, Ehab, 2021. "Foreign exchange market efficiency and the global financial crisis: Fundamental versus technical information," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 74-89.
    109. Hansen, Erwin, 2022. "Economic evaluation of asset pricing models under predictability," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 50-66.
    110. 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.
    111. Yamani, Ehab, 2021. "Can technical trading beat the foreign exchange market in times of crisis?," Global Finance Journal, Elsevier, vol. 48(C).
    112. Kothari, Pratik & O’Doherty, Michael S., 2023. "Job postings and aggregate stock returns," Journal of Financial Markets, Elsevier, vol. 64(C).
    113. Fei Lu & Feng Ma & Elie Bouri, 2024. "Stock market volatility predictability: new evidence from energy consumption," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    114. Chung, Chien-Ping & Chien, Cheng-Yi & Huang, Chia-Hsin & Lee, Hsiu-Chuan, 2021. "Foreign institutional ownership and the effectiveness of technical analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 86-96.
    115. Wen, Danyan & Wang, Yudong & Zhang, Yaojie, 2021. "Intraday return predictability in China’s crude oil futures market: New evidence from a unique trading mechanism," Economic Modelling, Elsevier, vol. 96(C), pages 209-219.
    116. Allan Timmermann, 2018. "Forecasting Methods in Finance," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 449-479, November.
    117. Ben R. Marshall & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2017. "Time series momentum and moving average trading rules," Quantitative Finance, Taylor & Francis Journals, vol. 17(3), pages 405-421, March.
    118. Ma, Yao & Yang, Baochen & Su, Yunpeng, 2021. "Stock return predictability: Evidence from moving averages of trading volume," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    119. Zhang, Yaojie & Ma, Feng & Liao, Yin, 2020. "Forecasting global equity market volatilities," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1454-1475.
    120. Faria, Gonçalo & Verona, Fabio, 2024. "Enhancing forecast accuracy through frequencydomain combination: Applications to financial and economic indicators," Bank of Finland Research Discussion Papers 14/2024, Bank of Finland.
    121. Qiu, Rui & Liu, Jing & Li, Yan, 2023. "Long-term adjusted volatility: Powerful capability in forecasting stock market returns," International Review of Financial Analysis, Elsevier, vol. 86(C).
    122. Wang, Jiqian & Guo, Xiaozhu & Tan, Xueping & Chevallier, Julien & Ma, Feng, 2023. "Which exogenous driver is informative in forecasting European carbon volatility: Bond, commodity, stock or uncertainty?," Energy Economics, Elsevier, vol. 117(C).
    123. Ali Al-Ameer & Khaled Alshehri, 2021. "Conditional Value-at-Risk for Quantitative Trading: A Direct Reinforcement Learning Approach," Papers 2109.14438, arXiv.org.
    124. Yu, Deshui & Huang, Difang & Chen, Li, 2023. "Stock return predictability and cyclical movements in valuation ratios," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 36-53.
    125. Chen, Yan & Liu, Yakun & Bouri, Elie & Zhang, Lei, 2025. "Jump imbalance and Chinese stock market returns," Pacific-Basin Finance Journal, Elsevier, vol. 94(C).
    126. Liu, Li & Tan, Siming & Wang, Yudong, 2020. "Can commodity prices forecast exchange rates?," Energy Economics, Elsevier, vol. 87(C).
    127. Tom Fong & Gabriel Wu, 2019. "Predictability in sovereign bond returns using technical trading rule: do developed and emerging markets differ?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    128. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Forecasting the CNY-CNH pricing differential: The role of investor attention," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 232-247.
    129. Li, Dakai, 2024. "Forecasting stock market realized volatility: The role of investor attention to the price of petroleum products," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 115-122.
    130. Adrian Fernandez-Perez & Ana-Maria Fuertes & Joëlle Miffre, 2026. "Does Speculation in Futures Markets Improve Commodity Hedging Decisions?," Management Science, INFORMS, vol. 72(3), pages 2525-2544, March.
    131. Yin, Libo & Feng, Jiabao & Liu, Li & Wang, Yudong, 2019. "It's not that important: The negligible effect of oil market uncertainty," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 62-84.
    132. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2021. "Realized skewness and the short-term predictability for aggregate stock market volatility," Economic Modelling, Elsevier, vol. 103(C).
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    537. Danyan Wen & Mengxi He & Yaojie Zhang & Yudong Wang, 2022. "Forecasting realized volatility of Chinese stock market: A simple but efficient truncated approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 230-251, March.
    538. Perry Sadorsky, 2021. "A Random Forests Approach to Predicting Clean Energy Stock Prices," JRFM, MDPI, vol. 14(2), pages 1-20, January.
    539. Yong Shi & Bo Li & Wen Long & Wei Dai, 2022. "Method for Improving the Performance of Technical Analysis Indicators By Neural Network Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1027-1068, March.
    540. Chen, Chien-Hua & Su, Xuan-Qi & Lin, Jun-Biao, 2016. "The role of information uncertainty in moving-average technical analysis: A study of individual stock-option issuance in Taiwan," Finance Research Letters, Elsevier, vol. 18(C), pages 263-272.
    541. Li Liu & Zhiyuan Pan & Yudong Wang, 2021. "What can we learn from the return predictability over the business cycle?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 108-131, January.
    542. Dichtl, Hubert & Drobetz, Wolfgang & Otto, Tizian, 2023. "Forecasting Stock Market Crashes via Machine Learning," Journal of Financial Stability, Elsevier, vol. 65(C).
    543. Ma, Feng & Zhang, Yaojie & Huang, Dengshi & Lai, Xiaodong, 2018. "Forecasting oil futures price volatility: New evidence from realized range-based volatility," Energy Economics, Elsevier, vol. 75(C), pages 400-409.
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    545. Helena Chuliá & Montserrat Guillén & Jorge M. Uribe, 2015. "“Measuaring Uncertainty in the Stock Market”," IREA Working Papers 201524, University of Barcelona, Research Institute of Applied Economics, revised Nov 2015.
    546. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.
    547. Guohao Tang & Fuwei Jiang & Xinlin Qi & Nan Huang, 2021. "It takes two to tango: Fundamental timing in stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5259-5277, October.
    548. De Gooijer Jan G. & Zerom Dawit, 2020. "Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts," Journal of Time Series Econometrics, De Gruyter, vol. 12(1), pages 1-15, January.

  2. Jay Shanken & Guofu Zhou, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," CEMA Working Papers 275, China Economics and Management Academy, Central University of Finance and Economics.

    Cited by:

    1. Mr. Shaun K. Roache, 2008. "Commodities and the Market Price of Risk," IMF Working Papers 2008/221, International Monetary Fund.
    2. Kleibergen, Frank, 2009. "Tests of risk premia in linear factor models," Journal of Econometrics, Elsevier, vol. 149(2), pages 149-173, April.
    3. Du, Ding & Hu, Ou, 2012. "Foreign exchange volatility and stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1202-1216.
    4. Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023. "A penalized two-pass regression to predict stock returns with time-varying risk premia," Journal of Econometrics, Elsevier, vol. 237(2).
    5. Rubio, Gonzalo & Lozano, Martin, 2009. "Evaluating alternative methods for testing asset pricing models with historical data," MPRA Paper 23613, University Library of Munich, Germany.
    6. Kleibergen, Frank & Zhan, Zhaoguo, 2025. "Risk premia from the cross-section of individual assets," Journal of Econometrics, Elsevier, vol. 252(PA).
    7. Bauder, David & Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2020. "Bayesian inference of the multi-period optimal portfolio for an exponential utility," Journal of Multivariate Analysis, Elsevier, vol. 175(C).
    8. Ravi Jagannathan & Srikant Marakani & Hitoshi Takehara & Yong Wang, 2012. "Calendar Cycles, Infrequent Decisions, and the Cross Section of Stock Returns," Management Science, INFORMS, vol. 58(3), pages 507-522, March.
    9. Richard T. Baillie & Fabio Calonaci & George Kapetanios, 2019. "Hierarchical Time Varying Estimation of a Multi Factor Asset Pricing Model," Working Papers 879, Queen Mary University of London, School of Economics and Finance.
    10. Czapkiewicz, Anna & Wójtowicz, Tomasz & Zaremba, Adam, 2023. "Idiosyncratic risk and cross-section of stock returns in emerging European markets," Economic Modelling, Elsevier, vol. 124(C).
    11. Jonathan Lewellen & Stefan Nagel & Jay Shanken, 2006. "A Skeptical Appraisal of Asset-Pricing Tests," NBER Working Papers 12360, National Bureau of Economic Research, Inc.
    12. Ferreira, Eva & Gil-Bazo, Javier & Orbe, Susan, 2011. "Conditional beta pricing models: A nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3362-3382.
    13. Mohammad Q. M. AL-Momani, 2016. "A Modified Fama and French (1993) Three-factor Asset Pricing Model: Evidence from the UK Equity Market," Applied Economics and Finance, Redfame publishing, vol. 3(3), pages 50-64, August.
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    17. Cujean, Julien & Andrei, Daniel & Wilson, Mungo, 2018. "The Lost Capital Asset Pricing Model," CEPR Discussion Papers 12607, Centre for Economic Policy Research.
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    44. Pin-Huang Chou & Guofu Zhou, 2006. "Using Bootstrap to Test Portfolio Efficiency," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 217-249, November.
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    63. Enrico G. De Giorgi & Thierry Post & Atakan Yalcin, 2012. "A Concave Security Market Line," Koç University-TUSIAD Economic Research Forum Working Papers 1211, Koc University-TUSIAD Economic Research Forum.
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    Cited by:

    1. Phylaktis, Kate & Xia, Lichuan, 2006. "Sources of firms' industry and country effects in emerging markets," Journal of International Money and Finance, Elsevier, vol. 25(3), pages 459-475, April.
    2. Schneider, Martin & Albuquerque, Rui & ,, 2006. "Global Private Information in International Equity Markets," CEPR Discussion Papers 5819, Centre for Economic Policy Research.
    3. Christophe Chamley, 2006. "Complementarities in information acquisition with short-term trades," Boston University - Department of Economics - Working Papers Series WP2006-042, Boston University - Department of Economics.
    4. Hanno Lustig, 2004. "The Cross-Section of Foreign Currency Risk Premia and US Consumption Growth Risk (joint with Adrien Verdelhan)(updated February 2006)," UCLA Economics Online Papers 303, UCLA Department of Economics.
    5. Barr, David G. & Priestley, Richard, 2004. "Expected returns, risk and the integration of international bond markets," Journal of International Money and Finance, Elsevier, vol. 23(1), pages 71-97, February.
    6. Lee, Wai, 1997. "Covariance risk, consumption risk, and international stock market returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(2), pages 491-510.
    7. Marina Emiris, 2002. "Measuring capital market integration," BIS Papers chapters, in: Bank for International Settlements (ed.), Market functioning and central bank policy, volume 12, pages 200-221, Bank for International Settlements.
    8. Andrea Beltratti & Claudio Morana, 2006. "Net Inflows and Time-Varying Alphas: The Case of Hedge Funds," ICER Working Papers 30-2006, ICER - International Centre for Economic Research.
    9. Hanno Lustig & Nikolai Roussanov & Adrien Verdelhan, 2008. "Common Risk Factors in Currency Markets," NBER Working Papers 14082, National Bureau of Economic Research, Inc.
    10. Hanno Lustig & Adrien Verdelhan, 2009. "Comment on "Carry Trades and Currency Crashes"," NBER Chapters, in: NBER Macroeconomics Annual 2008, Volume 23, pages 361-384, National Bureau of Economic Research, Inc.
    11. Geert Bekaert & Campbell R. Harvey, 1994. "Time-Varying World Market Integration," NBER Working Papers 4843, National Bureau of Economic Research, Inc.
    12. Traut, J. & Simonov, A. & Meitner, M., 2022. "Quantifying Alpha of Active Managers: A Case Study on Factor-Based Performance Attribution in Fixed-Income," Research Journal for Applied Management (RJAM), International School of Management (ISM), Dortmund, vol. 3(1), pages 85-115.
    13. Charlotta Groth & Fabrizio Zampolli, 2010. "Macroeconomic stability and the real interest rate: a cross-country analysis," Discussion Papers 30, Monetary Policy Committee Unit, Bank of England.
    14. Gregory Bauer & Antonio Diez de los Rios, 2012. "An International Dynamic Term Structure Model with Economic Restrictions and Unspanned Risks," Staff Working Papers 12-5, Bank of Canada.
    15. Hanno Lustig & Adrien Verdelhan, 2005. "The Cross-Section of Currency Risk Premia and US Consumption Growth Risk," NBER Working Papers 11104, National Bureau of Economic Research, Inc.
    16. Grossmann, Axel & Simpson, Marc W., 2015. "Bid-ask spreads, deviations from PPP and the forward prediction error: The case of the British pound and the euro," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 124-139.
    17. Alexandra HOROBET & Livia ILIE, 2009. "On The Exchange Rate Risk Contribution To The Performance Of International Investments: The Case Of Romania," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 3, pages 57-83, May.
    18. Demir Bektić & Britta Hachenberg & Dirk Schiereck, 2020. "Factor-based investing in government bond markets: a survey of the current state of research," Journal of Asset Management, Palgrave Macmillan, vol. 21(2), pages 94-105, March.
    19. De Moor, Lieven & Sercu, Piet, 2011. "Country versus sector factors in equity returns: The roles of non-unit exposures," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 64-77, January.
    20. Li, Yulin, 2021. "Investor sentiment and sovereign bonds," Journal of International Money and Finance, Elsevier, vol. 115(C).
    21. Campbell R. Harvey, 1994. "Predictable Risk and Returns in Emerging Markets," NBER Working Papers 4621, National Bureau of Economic Research, Inc.
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    23. Bange, Mary M. & Khang, Kenneth & Miller Jr., Thomas W., 2008. "Benchmarking the performance of recommended allocations to equities, bonds, and cash by international investment houses," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 363-386, June.
    24. Tom A. FEARNLEY, 2002. "Estimation of an International Capital Asset Pricing Model with Stocks and Government Bonds," FAME Research Paper Series rp95, International Center for Financial Asset Management and Engineering.
    25. Ang, Andrew & Chen, Joseph, 2007. "CAPM over the long run: 1926-2001," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 1-40, January.
    26. Haque Mahfuzul & Hassan M. Kabir & Maroney Neal C & Sackley William H, 2004. "An Empirical Examination of Stability, Predictability, and Volatility of Middle Eastern and African Emerging Stock Markets," Review of Middle East Economics and Finance, De Gruyter, vol. 2(1), pages 18-41, April.
    27. Nitschka, Thomas, 2018. "Bond market evidence of time variation in exposures to global risk factors and the role of US monetary policy," Journal of International Money and Finance, Elsevier, vol. 83(C), pages 44-54.
    28. Rui Albuquerque & Gregory Bauer & Martin Schneider, 2004. "International Equity Flows and Returns: A Quantitative Equilibrium Approach," International Finance 0405006, University Library of Munich, Germany.
    29. Mateus, Tiago, 2004. "The risk and predictability of equity returns of the EU accession countries," Emerging Markets Review, Elsevier, vol. 5(2), pages 241-266, June.
    30. Du, Ding & Hu, Ou, 2015. "The world market risk premium and U.S. macroeconomic announcements," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 75-97.
    31. Eric Girard & Amit Sinha, 2008. "Risk and Return in the Next Frontier," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 7(1), pages 43-80, January.
    32. Hanno Lustig & Adrien Verdelhan, 2006. "The Cross-Section of Foreign Currency Risk Premia and Consumption Growth Risk," Boston University - Department of Economics - Working Papers Series WP2006-045, Boston University - Department of Economics.
    33. Jushan Bai & Shuzhong Shi, 2011. "Estimating High Dimensional Covariance Matrices and its Applications," Annals of Economics and Finance, Society for AEF, vol. 12(2), pages 199-215, November.
    34. Samson, Lucie, 2013. "Asset prices and exchange risk: Empirical evidence from Canada," Research in International Business and Finance, Elsevier, vol. 28(C), pages 35-44.
    35. Girard, Eric & Omran, Mohamed, 2007. "What are the risks when investing in thin emerging equity markets: Evidence from the Arab world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(1), pages 102-123, February.
    36. Qin, Weiping & Cho, Sungjun & Hyde, Stuart, 2022. "Measuring market integration during crisis periods," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    37. Keiber, Karl Ludwig & Samyschew, Helene, 2016. "The pricing of sentiment risk in European stock markets," Discussion Papers 384, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    38. Turtle, H.J. & Zhang, Chengping, 2012. "Time-varying performance of international mutual funds," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 334-348.
    39. Harry J. Turtle & Chengping Zhang, 2015. "Structural breaks and portfolio performance in global equity markets," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 909-922, June.
    40. Rui Albuquerque & Gregory Bauer & Martin Schneider, 2004. "Characterizing Asymmetric Information in International Equity Markets," International Finance 0405005, University Library of Munich, Germany.
    41. Tom A. FEARNLEY, 2002. "Tests of an International Capital Asset Pricing Model with Stocks and Government Bonds and Regime Switching Prices of Risk and Intercepts," FAME Research Paper Series rp97, International Center for Financial Asset Management and Engineering.
    42. Keiber, Karl Ludwig & Samyschew, Helene, 2017. "The world price of sentiment risk," Global Finance Journal, Elsevier, vol. 32(C), pages 62-82.
    43. Doriana Ruffino & Jonathan Treussard, 2006. "A Study of Inaction in Investment Games via the Early Exercise Premium Representation," Boston University - Department of Economics - Working Papers Series WP2006-040, Boston University - Department of Economics.
    44. Selcuk Caner & Zeynep Onder, 2005. "Sources of volatility in stock returns in emerging markets," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 929-941.
    45. Hanno Lustig & Robert J. Richmond, 2017. "Gravity in FX R-Squared: Understanding the Factor Structure in Exchange Rates," NBER Working Papers 23773, National Bureau of Economic Research, Inc.
    46. Posedel Šimović, Petra & Tkalec, Marina & Vizek, Maruška & Lee, Junsoo, 2016. "Time-varying integration of the sovereign bond markets in European post-transition economies," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 30-40.
    47. Li, Yulin & Wald, John K. & Wang, Zijun, 2020. "Sovereign bonds, coskewness, and monetary policy regimes," Journal of Financial Stability, Elsevier, vol. 50(C).

  4. Raymond Kan & Guofu Zhou, 2001. "Tests of Mean-Variance Spanning," CEMA Working Papers 539, China Economics and Management Academy, Central University of Finance and Economics.

    Cited by:

    1. DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003. "Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-Fit in Multivariate Regressions with Application to Asset Pricing Models," Cahiers de recherche 07-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Bernd Scherer, 2021. "Adding alternative assets: return enhancement, diversification or hedging?," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 437-442, October.
    3. Pirgaip, Burak & Arslan-Ayaydin, Özgür & Karan, Mehmet Baha, 2021. "Do Sukuk provide diversification benefits to conventional bond investors? Evidence from Turkey," Global Finance Journal, Elsevier, vol. 50(C).
    4. Janda, K & Rausser, G & Svárovská, B, 2014. "Can investment in microfinance funds improve risk-return characteristics of a portfolio?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt61k33595, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Jonathan Fletcher, 2018. "An Examination of the Benefits of Factor Investing in U.K. Stock Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(4), pages 154-170, April.
    6. Fletcher, Jonathan & Marshall, Andrew, 2005. "An empirical examination of the benefits of international diversification," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(5), pages 455-468, December.
    7. Fays, Boris & Papageorgiou, Nicolas & Lambert, Marie, 2021. "Risk optimizations on basis portfolios: The role of sorting," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 136-163.
    8. Erwan Le Saout, 2017. "Performance of the Microfinance Investment Vehicles," Applied Economics and Finance, Redfame publishing, vol. 4(6), pages 42-52, November.
    9. Galvani, Valentina, 2007. "Underlying assets for which options complete the market," Finance Research Letters, Elsevier, vol. 4(1), pages 59-66, March.
    10. DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003. "Finite-Sample Diagnostics for Multivariate Regressions with Applications to Linear Asset Pricing Models," Cahiers de recherche 06-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    11. Valentina Galvani & Vita Faychuk, 2022. "The Mean-Variance Core of Cryptocurrencies: When More is Not Better," Working Papers 2022-04, University of Alberta, Department of Economics.
    12. Francisco Peñaranda & Enrique Sentana, 2004. "Spanning Tests in Return and Stochastic Discount Factor Mean-Variance Frontiers: A Unifying Approach," Working Papers wp2004_0410, CEMFI.
    13. Pearlean Chadha & Jenny Berrill, 2025. "The Indirect Diversification Benefits of Investing in Japanese Firms: An Alternative Perspective," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(1), pages 117-145, March.
    14. Abhyankar, Abhay & Ho, Keng-Yu, 2007. "Long-horizon event studies and event firm portfolio weights: Evidence from U.K. rights issues re-visited," International Review of Financial Analysis, Elsevier, vol. 16(1), pages 61-80.
    15. Fogarty, James Joseph & Sadler, Rohan, "undated". "To Save or Savour: A Review of Wine Investment," Working Papers 139663, University of Western Australia, School of Agricultural and Resource Economics.
    16. Fletcher, Jonathan, 2021. "International equity U.S. mutual funds and diversification benefits," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 246-257.
    17. Galvani, Valentina & Plourde, André, 2010. "Portfolio diversification in energy markets," Energy Economics, Elsevier, vol. 32(2), pages 257-268, March.
    18. Nafeesa Yunus, 2019. "Dynamic Linkages Among U.S. Real Estate Sectors Before and After the Housing Crisis," The Journal of Real Estate Finance and Economics, Springer, vol. 58(2), pages 264-289, February.
    19. Lehlohonolo Letho & Grieve Chelwa & Abdul Latif Alhassan, 2022. "Cryptocurrencies and portfolio diversification in an emerging market," China Finance Review International, Emerald Group Publishing Limited, vol. 12(1), pages 20-50, January.
    20. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2010. "Asset-pricing anomalies and spanning: Multivariate and multifactor tests with heavy-tailed distributions," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 763-782, September.
    21. Lingfeng Li, 2003. "An Economic Measure of Diversification Benefits," Yale School of Management Working Papers ysm371, Yale School of Management, revised 01 Jul 2003.
    22. Karl Demers-Bélanger & Van Son Lai, 2019. "Diversification Benefits of Cat Bonds: An In-Depth Examination," Working Papers 2019-008, Department of Research, Ipag Business School.
    23. O'Hagan-Luff, Martha & Berrill, Jenny, 2015. "Why stay-at-home investing makes sense," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 1-14.
    24. Halil I. Memis & Steffen Sebastian, 2020. "Währungsabsicherung bei Immobilienaktien außerhalb des Euroraums [Currency hedging for real estate investments outside the Eurozone]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 6(1), pages 47-63, April.
    25. Switzer, Lorne N. & Tahaoglu, Cagdas, 2015. "The benefits of international diversification: market development, corporate governance, market cap, and structural change effects," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 76-97.
    26. 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).
    27. David Ardia & S'ebastien Laurent & Rosnel Sessinou, 2024. "High-Dimensional Mean-Variance Spanning Tests," Papers 2403.17127, arXiv.org.
    28. Valentina Galvani & Andre Plourde, 2009. "Spanning with Zero-Price Investment Assets," Working Papers 2009-05, University of Alberta, Department of Economics.
    29. Nucera, Federico, 2017. "Unemployment fluctuations and the predictability of currency returns," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 88-106.
    30. Lu, Qinye & Vivian, Andrew, 2020. "Domestically formed international diversification," Journal of International Money and Finance, Elsevier, vol. 103(C).
    31. Frédéric Blanc-Brude & Timothy Whittaker & Simon Wilde, 2017. "Searching for a listed infrastructure asset class using mean–variance spanning," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(2), pages 137-179, May.
    32. Stelios Arvanitis & Olivier Scaillet & Nikolas Topaloglou, 2020. "Spanning analysis of stock market anomalies under Prospect Stochastic Dominance," Papers 2004.02670, arXiv.org.
    33. Rakowski, David & Shirley, Sara, 2020. "What drives the market for exchange-traded notes?," Journal of Banking & Finance, Elsevier, vol. 111(C).
    34. Glabadanidis, Paskalis, 2009. "Measuring the economic significance of mean-variance spanning," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 596-616, May.
    35. Dufour, Jean-Marie & Beaulieu, Marie-Claude & Khalaf, Lynda, 2003. "Testing mean-variance efficiency in CAPM with possibly non-gaussian errors: an exact simulation-based approach," Discussion Paper Series 1: Economic Studies 2003,01, Deutsche Bundesbank.
    36. Romain Deguest & Lionel Martellini & Vincent Milhau, 2018. "A Reinterpretation of the Optimal Demand for Risky Assets in Fund Separation Theorems," Management Science, INFORMS, vol. 64(9), pages 4333-4347, September.
    37. Sina Ehsani & Juhani T. Linnainmaa, 2019. "Factor Momentum and the Momentum Factor," NBER Working Papers 25551, National Bureau of Economic Research, Inc.
    38. Kempf, Alexander & Memmel, Christoph, 2005. "On the estimation of the global minimum variance portfolio," CFR Working Papers 05-02, University of Cologne, Centre for Financial Research (CFR).
    39. Tim Schmitz & Ingo Hoffmann, 2020. "Re-evaluating cryptocurrencies' contribution to portfolio diversification -- A portfolio analysis with special focus on German investors," Papers 2006.06237, arXiv.org, revised Aug 2020.
    40. Lin, Qi, 2022. "Understanding idiosyncratic momentum in the Chinese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    41. Shumi Akhtar & Farida Akhtar & Maria Jahromi & Kose John, 2023. "Volatility linkages and value gains from diversifying with Islamic assets," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(8), pages 1495-1528, October.
    42. Yan, Lei & Garcia, Philip, 2017. "Portfolio investment: Are commodities useful?," Journal of Commodity Markets, Elsevier, vol. 8(C), pages 43-55.
    43. Giovanni Petrella, 2005. "Are Euro Area Small Cap Stocks an Asset Class? Evidence from Mean‐Variance Spanning Tests," European Financial Management, European Financial Management Association, vol. 11(2), pages 229-253, March.
    44. Gur Huberman & Zhenyu Wang, 2005. "Arbitrage pricing theory," Staff Reports 216, Federal Reserve Bank of New York.
    45. Conlon, Thomas & Cotter, John & Ropotos, Ioannis, 2024. "Diversification with globally integrated US stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    46. Charles Cao & Jing-Zhi Huang, 2007. "Determinants of S&P 500 index option returns," Review of Derivatives Research, Springer, vol. 10(1), pages 1-38, January.
    47. Sofiane Aboura & Julien Chevallier, 2014. "The cross-market index for volatility surprise," Journal of Asset Management, Palgrave Macmillan, vol. 15(1), pages 7-23, February.
    48. Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2017. "Predictability and diversification benefits of investing in commodity and currency futures," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 52-66.
    49. Paskalis Glabadanidis & Ivan Obaydin & Ralf Zurbruegg, 2012. "RAFI® replication: Easier done than said?," Journal of Asset Management, Palgrave Macmillan, vol. 13(3), pages 210-225, June.
    50. Andreas Charitou & Andreas Makris & George P. Nishiotis, 2006. "Closed-End Country Funds and International Diversification," Multinational Finance Journal, Multinational Finance Journal, vol. 10(3-4), pages 251-276, September.
    51. Fletcher, Jonathan, 2018. "An empirical examination of the diversification benefits of U.K. international equity closed-end funds," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 23-34.
    52. Paul Karehnke & Frans de Roon, 2020. "Spanning Tests for Assets with Option-Like Payoffs: The Case of Hedge Funds," Management Science, INFORMS, vol. 66(12), pages 5969-5989, December.
    53. Chadha, Pearlean & Berrill, Jenny, 2024. "International operations and international influences – Investing in UK firms," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    54. Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 16(6), pages 365-373.
    55. Yunus, Nafeesa, 2020. "Time-varying linkages among gold, stocks, bonds and real estate," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 165-185.
    56. Sermin Gungor & Richard Luger, 2013. "Multivariate Tests of Mean-Variance Efficiency and Spanning with a Large Number of Assets and Time-Varying Covariances," Staff Working Papers 13-16, Bank of Canada.
    57. Kroencke, Tim A. & Schindler, Felix, 2012. "International diversification with securitized real estate and the veiling glare from currency risk," Journal of International Money and Finance, Elsevier, vol. 31(7), pages 1851-1866.
    58. Han, Yufeng & Zhou, Guofu & Zhu, Yingzi, 2016. "A trend factor: Any economic gains from using information over investment horizons?," Journal of Financial Economics, Elsevier, vol. 122(2), pages 352-375.
    59. Harry J. Turtle & Chengping Zhang, 2015. "Structural breaks and portfolio performance in global equity markets," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 909-922, June.
    60. Enrique Sentana, 2008. "The Econometrics of Mean-Variance Efficiency Tests: A Survey," Working Papers wp2008_0807, CEMFI.
    61. Fabozzi, Frank J. & Huang, Dashan & Jiang, Fuwei & Wang, Jiexun, 2024. "What difference do new factor models make in portfolio allocation?," Journal of International Money and Finance, Elsevier, vol. 140(C).
    62. Hanke, Michael & Penev, Spiridon, 2018. "Comparing large-sample maximum Sharpe ratios and incremental variable testing," European Journal of Operational Research, Elsevier, vol. 265(2), pages 571-579.
    63. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Exploring Diversification Benefits in Asia-Pacific Equity Markets," MPRA Paper 60180, University Library of Munich, Germany.
    64. Valentina Galvani & Aslan Behnamian, 2009. "A Comparative Analysis of the Returns on Provincial and Federal Canadian Bonds," Working Papers 2009-07, University of Alberta, Department of Economics.
    65. Gregor Dorfleitner & Carina Lung, 2018. "Cryptocurrencies from the perspective of euro investors: a re-examination of diversification benefits and a new day-of-the-week effect," Journal of Asset Management, Palgrave Macmillan, vol. 19(7), pages 472-494, December.
    66. Balli, Faruk & Balli, Hatice Ozer & Luu, Mong Ngoc, 2014. "Diversification across ASEAN-wide sectoral and national equity returns," Economic Modelling, Elsevier, vol. 41(C), pages 398-407.
    67. Ando, Masakazu & Hodoshima, Jiro, 2006. "The robustness of asset pricing models: Coskewness and cokurtosis," Finance Research Letters, Elsevier, vol. 3(2), pages 133-146, June.
    68. Jenny Berrill & Shengkai Sun, 2018. "An Investigation into the Benefits of Investing in Chinese Multinational Companies," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2), pages 186-209, August.
    69. Fethke, Tobias & Prokopczuk, Marcel, 2018. "Is Commodity Index Investing Profitable?," Hannover Economic Papers (HEP) dp-635, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    70. Salotti, Simone & Trecroci, Carmine, 2014. "Multifactor risk loadings and abnormal returns under uncertainty and learning," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(3), pages 393-404.
    71. Tim A. Kroencke & Felix Schindler & Andreas Schrimpf, 2014. "International Diversification Benefits with Foreign Exchange Investment Styles," Review of Finance, European Finance Association, vol. 18(5), pages 1847-1883.
    72. Lambert, Marie & Fays, Boris & Hübner, Georges, 2020. "Factoring characteristics into returns: A clinical study on the SMB and HML portfolio construction methods," Journal of Banking & Finance, Elsevier, vol. 114(C).
    73. Dewandaru, Ginanjar & Masih, Rumi & Bacha, Obiyathulla Ismath & Masih, A. Mansur M., 2017. "The role of Islamic asset classes in the diversified portfolios: Mean variance spanning test," Emerging Markets Review, Elsevier, vol. 30(C), pages 66-95.

  5. Raymond Kan & Guofu Zhou, 1999. "A Critique of the Stochastic Discount Factor Methodology," CEMA Working Papers 12, China Economics and Management Academy, Central University of Finance and Economics.

    Cited by:

    1. Eric Jondeau & Michael Rockinger, 2004. "Optimal Portfolio Allocation Under Higher Moments," Working papers 108, Banque de France.
    2. Smith, Daniel R., 2007. "Conditional coskewness and asset pricing," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 91-119, January.
    3. Rubio, Gonzalo & Lozano, Martin, 2009. "Evaluating alternative methods for testing asset pricing models with historical data," MPRA Paper 23613, University Library of Munich, Germany.
    4. Daehwan Kim & Chi-Young Song, 2014. "Country Fundamentals and Currency Excess Returns," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 18(2), pages 111-142.
    5. Ahn, Seung C. & Gadarowski, Christopher, 2004. "Small sample properties of the GMM specification test based on the Hansen-Jagannathan distance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 109-132, January.
    6. Abel, Ernest & Fletcher, Jonathan, 2004. "An empirical examination of UK emerging market unit trust performance," Emerging Markets Review, Elsevier, vol. 5(4), pages 389-408, December.
    7. Simin, Timothy, 2008. "The Poor Predictive Performance of Asset Pricing Models," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 355-380, June.
    8. Ahmed, Shamim & Liu, Xiaoquan & Valente, Giorgio, 2016. "Can currency-based risk factors help forecast exchange rates?," International Journal of Forecasting, Elsevier, vol. 32(1), pages 75-97.
    9. Jondeau, Eric & Rockinger, Michael, 2003. "Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1699-1737, August.
    10. Pierluigi Balduzzi & Cesare Robotti, 2005. "Mimicking portfolios, economic risk premia, and tests of multi-beta models," FRB Atlanta Working Paper 2005-04, Federal Reserve Bank of Atlanta.
    11. Kan, Raymond & Robotti, Cesare, 2008. "Specification tests of asset pricing models using excess returns," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 816-838, December.
    12. Joost Driessen & Bertrand Melenberg & Theo Nijman, 2000. "Testing Affine Term Structure Models in Case of Transaction Costs," Econometric Society World Congress 2000 Contributed Papers 0553, Econometric Society.
    13. John H. Cochrane, 2001. "A Rehabilitation of Stochastic Discount Factor Methodology," NBER Working Papers 8533, National Bureau of Economic Research, Inc.
    14. Ayadi, Mohamed A. & Kryzanowski, Lawrence, 2005. "Portfolio performance measurement using APM-free kernel models," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 623-659, March.
    15. Massimo Guidolin & Martin Lozano & Juan Arismendi Zambrano, "undated". "Multifactor Empirical Asset Pricing Under Higher-Order Moment Variations," Economics Department Working Paper Series n304-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    16. Jay Shanken & Guofu Zhou, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," CEMA Working Papers 275, China Economics and Management Academy, Central University of Finance and Economics.
    17. Wonnho Choi, 2018. "Consumption-based capital asset pricing models: issues and controversies," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 181-205, January.
    18. Khan, Mozaffar, 2008. "Are accruals mispriced Evidence from tests of an Intertemporal Capital Asset Pricing Model," Journal of Accounting and Economics, Elsevier, vol. 45(1), pages 55-77, March.
    19. 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.
    20. Zhipeng Liao & Yan Liu & Zhenzhen Xie, 2024. "Optimal Cross-Sectional Regression," Management Science, INFORMS, vol. 70(11), pages 7911-7942, November.
    21. Guermat, Cherif & Freeman, Mark C., 2010. "A net beta test of asset pricing models," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 1-9, January.
    22. Zijian Wu & Baochen Yang & Yunpeng Su, 2022. "Corporate Bond Pricing Model with Interaction between Liquidity and Credit Risk," Complexity, John Wiley & Sons, vol. 2022(1).
    23. Peter N Smith & Michael R Wickens, "undated". "Asset Pricing with Observable Stochastic Discount Factors," Discussion Papers 02/03, Department of Economics, University of York.
    24. Kim, Soohun & Skoulakis, Georgios, 2018. "Ex-post risk premia estimation and asset pricing tests using large cross sections: The regression-calibration approach," Journal of Econometrics, Elsevier, vol. 204(2), pages 159-188.
    25. Wilhelm, Jochen, 2000. "Das Gaußsche Zinsstrukturmodell: Eine Analyse auf der Basis von Wahrscheinlichkeitsverteilungen," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe 6, University of Passau, Faculty of Business and Economics.
    26. DeRoon, Frans A. & Nijman, Theo E., 2001. "Testing for mean-variance spanning: a survey," Journal of Empirical Finance, Elsevier, vol. 8(2), pages 111-155, May.
    27. Bartram, Söhnke M. & Bodnar, Gordon M., 2012. "Crossing the lines: The conditional relation between exchange rate exposure and stock returns in emerging and developed markets," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 766-792.
    28. Ravi Jagannathan & Zhenyu Wang, 2002. "Empirical Evaluation of Asset‐Pricing Models: A Comparison of the SDF and Beta Methods," Journal of Finance, American Finance Association, vol. 57(5), pages 2337-2367, October.
    29. Laurinaityte, Nora & Meinerding, Christoph & Schlag, Christian & Thimme, Julian, 2020. "GMM weighting matrices incross-sectional asset pricing tests," Discussion Papers 62/2020, Deutsche Bundesbank.
    30. Bessler, Wolfgang & Drobetz, Wolfgang & Zimmermann, Heinz, 2007. "Conditional Performance Evaluation for German Mutual Equity Funds," Working papers 2007/22, Faculty of Business and Economics - University of Basel.
    31. Heber Farnsworth & Wayne E. Ferson & David Jackson & Steven Todd, 2002. "Performance Evaluation with Stochastic Discount Factors," NBER Working Papers 8791, National Bureau of Economic Research, Inc.
    32. Cai, Zongwu & Hong, Yongmiao, 2003. "Nonparametric Methods in Continuous-Time Finance: A Selective Review," SFB 373 Discussion Papers 2003,15, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    33. Eric Jondeau & Michael Rockinger, 2000. "Conditional Volatility, Skewness, and Kurtosis: Existence and Persistence," Working papers 77, Banque de France.

  6. John Geweke & Guofu Zhou, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," CEMA Working Papers 276, China Economics and Management Academy, Central University of Finance and Economics.

    Cited by:

    1. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.
    2. Nobuhiko Terui & Shohei Hasegawa, 2013. "Modeling Preference Change through Brand Satiation," TMARG Discussion Papers 112, Graduate School of Economics and Management, Tohoku University.
    3. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    4. Robert Kohn & Rachida Ouysse, 2007. "Bayesian Variable Selection of Risk Factors in the APT Model," Discussion Papers 2007-32, School of Economics, The University of New South Wales.
    5. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.
    6. Pantelis Samartsidis & Shaun R. Seaman & Silvia Montagna & André Charlett & Matthew Hickman & Daniela De Angelis, 2020. "A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1437-1459, October.
    7. Celso Brunetti & Jeffrey H. Harris & Shawn Mankad, 2018. "Bank Holdings and Systemic Risk," Finance and Economics Discussion Series 2018-063, Board of Governors of the Federal Reserve System (U.S.).
    8. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016. "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, vol. 192(1), pages 190-206.
    9. Mirko Wiederholt & Emanuel Moench & Bartosz Maćkowiak, 2009. "Sectoral Price Data and Models of Price Setting," 2009 Meeting Papers 666, Society for Economic Dynamics.
    10. Gregor Kastner & Sylvia Frühwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Business and Economics Working Papers 234, Unidade de Negocios e Economia, Insper.
    11. Marc Francke & Lyndsey Rolheiser & Alex Minne, 2025. "Estimating Census Tract House Price Indexes: A New Spatial Dynamic Factor Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 70(3), pages 483-514, April.
    12. Hedibert Freitas Lopes, 2014. "A Tutorial on the Computation of Bayes Factors," Business and Economics Working Papers 200, Unidade de Negocios e Economia, Insper.
    13. Cristina Fuentes-Albero & Leonardo Melosi, 2011. "Methods for Computing Marginal Data Densities from the Gibbs Output," Departmental Working Papers 201131, Rutgers University, Department of Economics.
    14. Chadwick, Meltem, 2010. "Performance of Bayesian Latent Factor Models in Measuring Pricing Errors," MPRA Paper 79060, University Library of Munich, Germany.
    15. Christian Aßmann & Jens Boysen-Hogrefe & Markus Pape, 2024. "Post-processing for Bayesian analysis of reduced rank regression models with orthonormality restrictions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 577-609, September.
    16. Cederburg, Scott & O’Doherty, Michael S., 2015. "Asset-pricing anomalies at the firm level," Journal of Econometrics, Elsevier, vol. 186(1), pages 113-128.
    17. Mumtaz, Haroon & Surico, Paolo, 2008. "Evolving International Inflation Dynamics: Evidence from a Time-varying Dynamic Factor Model," CEPR Discussion Papers 6767, Centre for Economic Policy Research.
    18. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    19. Klaus, Benjamin & Ferroni, Filippo, 2015. "Euro area business cycles in turbulent times: convergence or decoupling?," Working Paper Series 1819, European Central Bank.
    20. Reichmuth, Wolfgang H. & Sarferaz, Samad, 2008. "Bayesian demographic modeling and forecasting: An application to U.S. mortality," SFB 649 Discussion Papers 2008-052, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    21. Ouysse, Rachida & Kohn, Robert, 2010. "Bayesian variable selection and model averaging in the arbitrage pricing theory model," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3249-3268, December.
    22. Reichmuth, Wolfgang H. & Sarferaz, Samad, 2008. "Modeling and forecasting age-specific mortality: A Bayesian approach," SFB 649 Discussion Papers 2008-052a, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    23. Haroon Mumtaz & Paolo Surico, 2006. "Inflation Globalization and the Fall of Country Specific Fluctuations," Computing in Economics and Finance 2006 166, Society for Computational Economics.
    24. Chen, Hong-Yi & Lee, Alice C. & Lee, Cheng-Few, 2015. "Alternative errors-in-variables models and their applications in finance research," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 213-227.
    25. Doko Tchatoka, Firmin & Groshenny, Nicolas & Haque, Qazi & Weder, Mark, 2017. "Monetary policy and indeterminacy after the 2001 slump," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 83-95.
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    31. Gabriel Frahm, 0. "Arbitrage Pricing Theory In Ergodic Markets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1-28.
    32. Andrés Fernández & Andrés González & Diego Rodríguez, 2015. "Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies," Borradores de Economia 915, Banco de la Republica de Colombia.
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    Cited by:

    1. Radosław Kurach, 2013. "Does Beta Explain Global Equity Market Volatility – Some Empirical Evidence," Contemporary Economics, Vizja University, vol. 7(2), June.
    2. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2012. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Documentos de Trabajo del ICAE 2012-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2012.
    3. Schneider, Martin & Albuquerque, Rui & ,, 2006. "Global Private Information in International Equity Markets," CEPR Discussion Papers 5819, Centre for Economic Policy Research.
    4. Chou, Pin-Huang, 1997. "A Gibbs sampling approach to the estimation of linear regression models under daily price limits," Pacific-Basin Finance Journal, Elsevier, vol. 5(1), pages 39-62, February.
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Articles

  1. Han, Yufeng & Huang, Dashan & Huang, Dayong & Zhou, Guofu, 2022. "Expected return, volume, and mispricing," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1295-1315.

    Cited by:

    1. Xu, Zhiwei & Yang, Yinan & Zhang, Teng, 2026. "Investor disagreement and state-dependent mispricing: New evidence on the analyst dispersion anomaly," Journal of Banking & Finance, Elsevier, vol. 182(C).
    2. Li, Wencong & Yang, Xingquan & Yin, Xingqiang, 2022. "Non-state shareholders entering of state-owned enterprises and equity mispricing: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. 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.
    4. Ruan, Lei & Yang, Liwen, 2025. "Investor-company interactions and stock price crash risk: Evidence from China," Research in International Business and Finance, Elsevier, vol. 76(C).
    5. Du, Xiaoxu & Tang, Zhenpeng & Chen, Kaijie, 2023. "A novel crude oil futures trading strategy based on volume-price time-frequency decomposition with ensemble deep reinforcement learning," Energy, Elsevier, vol. 285(C).
    6. Ao, Zhiming & Ji, Xinru & Liang, Xinxin, 2023. "Can prospect theory explain anomalies in the Chinese stock market?," Finance Research Letters, Elsevier, vol. 58(PB).
    7. Fang, Yi & Niu, Hui & Lin, Yuen, 2023. "Ex-ante Valuation based on Prospect Theory," MPRA Paper 116386, University Library of Munich, Germany.
    8. Xue, Wenjun & He, Zhongzhi & Yun, Xin, 2025. "The effect of mutual fund herding on stock mispricing," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    9. Pengfei Ge & Chuxiong Tang & Yuhui Chen & Yichao Liu & Rui Zhu, 2025. "Green Bonds: Greenwashing or Genuinely Green? A Study Based on Stock Mispricing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(6), pages 3396-3413, September.
    10. Zihuang Huang & Qing Xu & Xinyu Wang, 2024. "Does Investors’ Online Public Opinion Divergence Increase the Trading Volume? Evidence from the CSI 300 Index Constituents," JRFM, MDPI, vol. 17(8), pages 1-17, July.
    11. Lee, ShaoChen & Chou, Robin K., 2025. "Price formation around historical highs in retail-dominated stock markets: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    12. Lin, Xudong & Zhu, Hao & Meng, Yiqun, 2023. "ESG greenwashing and equity mispricing: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PD).
    13. Wagner, Moritz & Wei, Xiaopeng, 2024. "Ambiguous investor sentiment," Finance Research Letters, Elsevier, vol. 67(PA).
    14. Han, Chunmao & Zhang, Wei, 2024. "Trading volume, anomaly returns and noise trader risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    15. Li, Yihan, 2024. "Trading on trends: How the ordering of historical volume predicts Chinese stock returns?," International Review of Financial Analysis, Elsevier, vol. 95(PC).
    16. Zhuang, Junming & Zhang, Tianyu & He, Jingshi, 2026. "Impact of shadow banking of nonfinancial firms on equity mispricing," Global Finance Journal, Elsevier, vol. 69(C).
    17. Sun, Kaisi & Wang, Hui & Zhu, Yifeng, 2023. "Salience theory in price and trading volume: Evidence from China," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 38-61.
    18. Hou, Yuting & Jin, Xiu, 2024. "Downside liquidity risk premium: From the perspective of higher moment," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    19. Luu, Ellie & Xu, Fangming & Zheng, Liyi, 2023. "Short-selling activities in the time of COVID-19," The British Accounting Review, Elsevier, vol. 55(4).
    20. Chen, Xin & Chai, Daniel & Zhang, Jin, 2024. "Expected return, volume, and mispricing: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    21. Jon A. Garfinkel & Lawrence Hsiao & Danqi Hu, 2025. "Disagreement and returns: The case of cryptocurrencies," Financial Management, Financial Management Association International, vol. 54(3), pages 633-672, September.
    22. Zhang, Yuntian & Zhang, Yongjie & Lin, Shen, 2026. "Retail investor sentiment in China," Research in International Business and Finance, Elsevier, vol. 84(C).
    23. Li, Tianyang & Li, Yinzhu, 2025. "Low-risk anomaly: Idiosyncratic risk or return distribution," Finance Research Letters, Elsevier, vol. 74(C).

  2. Liu, Hong & Tang, Xiaoxiao & Zhou, Guofu, 2022. "Recovering the FOMC risk premium," Journal of Financial Economics, Elsevier, vol. 145(1), pages 45-68.

    Cited by:

    1. Juan M. Londono & Mehrdad Samadi, 2023. "The Price of Macroeconomic Uncertainty: Evidence from Daily Options," International Finance Discussion Papers 1376, Board of Governors of the Federal Reserve System (U.S.).
    2. Dotsis, George & Rosa, Carlo, 2024. "Factor returns and FOMC announcements: The role of sentiment," The Quarterly Review of Economics and Finance, Elsevier, vol. 97(C).
    3. Chao Gao & Grace Xing Hu & Xiaoyan Zhang, 2026. "Uncertainty Risk Resolution Before Earnings Announcements," Management Science, INFORMS, vol. 72(3), pages 1835-1857, March.
    4. Zhang, Chu & Zhao, Shen, 2023. "The macroeconomic announcement premium and information environment," Journal of Monetary Economics, Elsevier, vol. 139(C), pages 55-73.
    5. Jiang, Fuwei & Liu, Hongkui & Tang, Guohao & Yu, Jiasheng, 2024. "Global mispricing matters," Journal of International Money and Finance, Elsevier, vol. 147(C).
    6. Kiriu, Takuya & Hibiki, Norio, 2024. "The impact of macroeconomic announcements on risk, preference, and risk premium," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 842-857.
    7. Manjhi, Ganesh & Shah, Raashid, 2025. "What do sentiments of budget speeches mean for stock returns?," Economic Modelling, Elsevier, vol. 151(C).

  3. 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.

    Cited by:

    1. Cui, Mengqi & Li, Daye, 2024. "A four-factor model based on factor momentum," Pacific-Basin Finance Journal, Elsevier, vol. 87(C).
    2. 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).
    3. Efstathios Polyzos & Ghulame Rubbaniy & Mieszko Mazur, 2024. "Efficient Market Hypothesis on the blockchain: A social‐media‐based index for cryptocurrency efficiency," The Financial Review, Eastern Finance Association, vol. 59(3), pages 807-829, August.
    4. Hsiu-Chuan Lee & Donald Lien & Her-Jiun Sheu, 2023. "Hedging performance of volatility index futures: a partial cointegration approach," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 265-294, July.
    5. 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.
    6. 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).
    7. Wang, Jianqiu & Wang, Zhuo & Wu, Ke, 2025. "Forecasting stock market return with anomalies: Evidence from China," International Journal of Forecasting, Elsevier, vol. 41(3), pages 1278-1295.
    8. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    9. Sudarshan Kumar & Sobhesh Kumar Agarwalla & Jayanth R. Varma & Vineet Virmani, 2023. "Harvesting the volatility smile in a large emerging market: A Dynamic Nelson–Siegel approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1615-1644, November.
    10. Messis, Petros & Alexandridis, Antonios K. & Zapranis, Achilleas, 2025. "A qualitative parameter for beta changes," International Review of Economics & Finance, Elsevier, vol. 103(C).
    11. Yonghe Lu & Yanrong Yang & Terry Zhang, 2024. "Double Descent in Portfolio Optimization: Dance between Theoretical Sharpe Ratio and Estimation Accuracy," Papers 2411.18830, arXiv.org.
    12. Wu, Haoran & Gao, Zhiwei & Nie, Boyang & Zhao, Binru, 2025. "Can machines learn Chinese mutual funds?," Pacific-Basin Finance Journal, Elsevier, vol. 94(C).
    13. 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).
    14. Zografopoulos, Lazaros & Iannino, Maria Chiara & Psaradellis, Ioannis & Sermpinis, Georgios, 2025. "Industry return prediction via interpretable deep learning," European Journal of Operational Research, Elsevier, vol. 321(1), pages 257-268.
    15. Christian Fieberg & Daniel Metko & Thorsten Poddig & Thomas Loy, 2023. "Machine learning techniques for cross-sectional equity returns’ prediction," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 289-323, March.
    16. Bryan Kelly & Semyon Malamud & Kangying Zhou, 2024. "The Virtue of Complexity in Return Prediction," Journal of Finance, American Finance Association, vol. 79(1), pages 459-503, February.
    17. Guidetti, Veronica & Insana, Alessandra, 2026. "Trust anomalies’ judgment: Social ranking theories for portfolio construction," European Journal of Operational Research, Elsevier, vol. 329(3), pages 1063-1072.
    18. Gang Kou & Yang Lu, 2025. "FinTech: a literature review of emerging financial technologies and applications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
    19. Shi, Yongdong & Wang, Haomiao & Xia, Yu & Zhen, Hongxian, 2023. "Mispricing and anomalies in China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    20. Yu, Junhong & Ruan, Xinfeng & Fan, Zheqi, 2025. "Merton (1976) implied jump," Journal of Economic Dynamics and Control, Elsevier, vol. 180(C).
    21. Fathi, Masoumeh & Grobys, Klaus & Äijö, Janne, 2025. "A common component of Fama and French factor variances," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    22. Alexandridis, Antonios K. & Apergis, Iraklis & Panopoulou, Ekaterini & Voukelatos, Nikolaos, 2023. "Equity premium prediction: The role of information from the options market," Journal of Financial Markets, Elsevier, vol. 64(C).
    23. Mekelburg, Erik & Strauss, Jack, 2024. "Pooling and winsorizing machine learning forecasts to predict stock returns with high-dimensional data," Journal of Empirical Finance, Elsevier, vol. 79(C).
    24. Weihao Han & David Newton & Emmanouil Platanakis & Haoran Wu & Libo Xiao, 2024. "The diversification benefits of cryptocurrency factor portfolios: Are they there?," Review of Quantitative Finance and Accounting, Springer, vol. 63(2), pages 469-518, August.
    25. Nusret Cakici & Christian Fieberg & Daniel Metko & Adam Zaremba, 2024. "Do Anomalies Really Predict Market Returns? New Data and New Evidence," Review of Finance, European Finance Association, vol. 28(1), pages 1-44.
    26. Yu, Deshui & Tang, Jiachen & Zhou, Mingtao, 2026. "Trade policy uncertainty and stock returns: A tale of two periods," International Review of Financial Analysis, Elsevier, vol. 109(C).
    27. Du, Qingjie & Wang, Yang & Wei, Chishen & Wei, K.C. John, 2023. "Machine learning, anomalies, and the expected market return: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    28. Guilherme V. Moura & Andr'e P. Santos & Hudson S. Torrent, 2025. "Variable selection for minimum-variance portfolios," Papers 2508.14986, arXiv.org.
    29. Ma, Tian & Liao, Cunfei & Jiang, Fuwei, 2024. "Factor momentum in the Chinese stock market," Journal of Empirical Finance, Elsevier, vol. 75(C).
    30. Bennett, Donyetta & Mekelburg, Erik & Strauss, Jack & Williams, T.H., 2024. "Unlocking the black box of sentiment and cryptocurrency: What, which, why, when and how?," Global Finance Journal, Elsevier, vol. 60(C).
    31. Chen, Jian & Han, Yufeng & Tang, Guohao & Zhu, Yifeng, 2026. "Taming the global factor zoo," Journal of International Money and Finance, Elsevier, vol. 160(C).
    32. Dohyun Chun & Jongho Kang & Jihun Kim, 2024. "Forecasting returns with machine learning and optimizing global portfolios: evidence from the Korean and U.S. stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-30, December.
    33. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    34. Daniel Borup & Philippe Goulet Coulombe & Erik Christian Montes Schütte & David E. Rapach & Sander Schwenk-Nebbe, 2024. "The Anatomy of Out-of-Sample Forecasting Accuracy," FRB Atlanta Working Paper 2022-16b, Federal Reserve Bank of Atlanta.
    35. Hanauer, Matthias X. & Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2024. "Factor models for Chinese A-shares," International Review of Financial Analysis, Elsevier, vol. 91(C).
    36. Maung, Kenwin & Swanson, Norman R., 2025. "A survey of models and methods used for forecasting when investing in financial markets," International Journal of Forecasting, Elsevier, vol. 41(4), pages 1355-1382.
    37. Tian Ma & Cunfei Liao & Fuwei Jiang, 2023. "Timing the factor zoo via deep learning: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 485-505, March.
    38. Kuppenheimer, Gregory & Shelly, Stuart & Strauss, Jack, 2023. "Can machine learning identify sector-level financial ratios that predict sector returns?," Finance Research Letters, Elsevier, vol. 57(C).
    39. Yuan, Ying & Qu, Yong & Wang, Tianyang, 2025. "Predicting risk premiums: A constraint-based model," Journal of Empirical Finance, Elsevier, vol. 83(C).
    40. Jiang, Fuwei & Liu, Hongkui & Tang, Guohao & Yu, Jiasheng, 2024. "Global mispricing matters," Journal of International Money and Finance, Elsevier, vol. 147(C).
    41. Beyhum, Jad & Striaukas, Jonas, 2024. "Testing for sparse idiosyncratic components in factor-augmented regression models," Journal of Econometrics, Elsevier, vol. 244(1).
    42. 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.
    43. Kim Long Tran & Hoang Anh Le & Cap Phu Lieu & Duc Trung Nguyen, 2023. "Machine Learning to Forecast Financial Bubbles in Stock Markets: Evidence from Vietnam," IJFS, MDPI, vol. 11(4), pages 1-18, November.
    44. Mercik, Aleksander & Będowska-Sójka, Barbara & Karim, Sitara & Zaremba, Adam, 2025. "Cross-sectional interactions in cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 97(C).
    45. Jozef Barunik & Martin Hronec & Ondrej Tobek, 2024. "Forecasting stock return distributions around the globe with quantile neural networks," Papers 2408.07497, arXiv.org, revised Aug 2025.
    46. Shi, Qi, 2025. "Technical indicators and aggregate stock returns: An updated look," Journal of Multinational Financial Management, Elsevier, vol. 77(C).
    47. Nygaard, Knut & Sørensen, Lars Qvigstad, 2024. "Betting on war? Oil prices, stock returns, and extreme geopolitical events," Energy Economics, Elsevier, vol. 136(C).
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    51. Niu, Zibo & Demirer, Riza & Suleman, Muhammad Tahir & Zhang, Hongwei & Zhu, Xuehong, 2024. "Do industries predict stock market volatility? Evidence from machine learning models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).

  4. Huang, Dashan & Li, Jiangyuan & Wang, Liyao & Zhou, Guofu, 2020. "Time series momentum: Is it there?," Journal of Financial Economics, Elsevier, vol. 135(3), pages 774-794.

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    1. Onishchenko, Olena & Zhao, Jing & Kongahawatte, Sampath & Kuruppuarachchi, Duminda, 2024. "Investor heterogeneity and anchoring-induced momentum," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    2. Zhenya Liu & Nawazish Mirza & Rongyu You & Yaosong Zhan, 2026. "Understanding the complexity of futures markets investing in China: evidence from deep learning techniques," Annals of Operations Research, Springer, vol. 357(1), pages 409-440, February.
    3. Guijin Son & Hanwool Lee & Nahyeon Kang & Moonjeong Hahm, 2023. "Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance," Papers 2301.03136, arXiv.org, revised Jan 2023.
    4. Schmeling, Maik & Medhat, Mamdouh, 2021. "Short-term Momentum," CEPR Discussion Papers 15857, Centre for Economic Policy Research.
    5. Sihvonen, Markus, 2021. "Yield curve momentum," Bank of Finland Research Discussion Papers 15/2021, Bank of Finland.
    6. Zhang, Zhehao & Xing, Ruina & Liu, Jiajun & Shao, Yifei, 2023. "Correlation-based investment strategies: A comparison between Chinese and US stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    7. 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.
    8. Zhang, Yu & Kappou, Konstantina & Urquhart, Andrew, 2024. "Macroeconomic momentum and cross-sectional equity market indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    9. Hutchinson, Mark C. & Kyziropoulos, Panagiotis E. & O'Brien, John & O'Reilly, Philip & Sharma, Tripti, 2022. "Are carry, momentum and value still there in currencies?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    10. Zhang, Wei & Wang, Pengfei & Li, Yi, 2021. "Bond intraday momentum," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    11. Wen, Danyan & Wang, Yudong & Zhang, Yaojie, 2021. "Intraday return predictability in China’s crude oil futures market: New evidence from a unique trading mechanism," Economic Modelling, Elsevier, vol. 96(C), pages 209-219.
    12. Zhong, Hao & He, Xiaoxiao & Li, Yuqi, 2024. "Is there a time-series momentum effect in the Asian crude oil futures market?," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    13. Simarjeet Singh & Nidhi Walia & Sivagandhi Saravanan & Preeti Jain & Avtar Singh & Jinesh jain, 2021. "Mapping the scientific research on alternative momentum investing: a bibliometric analysis," Journal of Economic and Administrative Sciences, Emerald Group Publishing Limited, vol. 38(4), pages 619-636, April.
    14. Antico, Andrea & Bottazzi, Giulio & Giachini, Daniele, 2025. "Pricing anomalies in a general equilibrium model with biased learning," Journal of Behavioral and Experimental Finance, Elsevier, vol. 45(C).
    15. Zhang, Shaojun, 2022. "Dissecting currency momentum," Journal of Financial Economics, Elsevier, vol. 144(1), pages 154-173.
    16. Gao, Ya & Guo, Bin & Xiong, Xiong, 2021. "Signed momentum in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    17. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2022. "Gambling on Momentum," Economics Discussion Papers em-dp2022-10, Department of Economics, University of Reading.
      • Marius Otting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2022. "Gambling on Momentum," Papers 2211.06052, arXiv.org.
    18. Yuanzhi Wang & Xinbei Wei & Qunzi Zhang, 2025. "Asymmetric Commodity Tails and Index Futures Returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(3), pages 247-265, March.
    19. Fan, Minyou & Kearney, Fearghal & Li, Youwei & Liu, Jiadong, 2020. "Momentum and the Cross-Section of Stock Volatility," QBS Working Paper Series 2020/01, Queen's University Belfast, Queen's Business School.
    20. Minyou Fan & Youwei Li & Ming Liao & Jiadong Liu, 2022. "A reexamination of factor momentum: How strong is it?," The Financial Review, Eastern Finance Association, vol. 57(3), pages 585-615, August.
    21. Zakamulin, Valeriy & Giner, Javier, 2022. "Time series momentum in the US stock market: Empirical evidence and theoretical analysis," International Review of Financial Analysis, Elsevier, vol. 82(C).
    22. Feng, Guanhao & He, Jingyu, 2022. "Factor investing: A Bayesian hierarchical approach," Journal of Econometrics, Elsevier, vol. 230(1), pages 183-200.
    23. Fathi, Masoumeh & Grobys, Klaus & Äijö, Janne, 2025. "A common component of Fama and French factor variances," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    24. Papailias, Fotis & Liu, Jiadong & Thomakos, Dimitrios D., 2021. "Return signal momentum," Journal of Banking & Finance, Elsevier, vol. 124(C).
    25. Dezhong Xu & Bin Li & Tarlok Singh & Jung Chul Park, 2025. "Cross‐asset time‐series momentum strategy: A new perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(3), pages 2387-2419, September.
    26. Koziol, Christian & Proelss, Juliane, 2021. "An explanation for momentum with a rational model under symmetric information – Evidence from cross country equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    27. Liu, Zhenya & Lu, Shanglin & Li, Bo & Wang, Shixuan, 2023. "Time series momentum and reversal: Intraday information from realized semivariance," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 54-77.
    28. Ma, Gaoping & Bouri, Elie & Xu, Yahua & Zhou, Z. Ivy, 2025. "The “night effect” of intraday trading: Evidence from Chinese gold and silver futures markets," Global Finance Journal, Elsevier, vol. 64(C).
    29. Blanco, Ivan & De Jesus, Miguel & Remesal, Alvaro, 2023. "Overlapping momentum portfolios," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 1-22.
    30. Liu, Zhenya & Lu, Shanglin & Wang, Shixuan, 2021. "Asymmetry, tail risk and time series momentum," International Review of Financial Analysis, Elsevier, vol. 78(C).
    31. Yiran Zheng & Xili Zhang & Donald Lien & Xiaojian Yu, 2025. "Evaluating Trend‐Based Strategies in Chinese Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(12), pages 2282-2313, December.
    32. Li, Zeming & Sakkas, Athanasios & Urquhart, Andrew, 2022. "Intraday time series momentum: Global evidence and links to market characteristics," Journal of Financial Markets, Elsevier, vol. 57(C).
    33. 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.
    34. Ma, Tian & Liao, Cunfei & Jiang, Fuwei, 2024. "Factor momentum in the Chinese stock market," Journal of Empirical Finance, Elsevier, vol. 75(C).
    35. Pan, Zhiyuan & Zhong, Hao & Wang, Yudong & Huang, Juan, 2024. "Forecasting oil futures returns with news," Energy Economics, Elsevier, vol. 134(C).
    36. Kevin J. Lansing & Adam Hale Shapiro, 2026. "Measuring Inflation Shock Momentum," Working Paper Series 2026-10, Federal Reserve Bank of San Francisco.
    37. Stanley lat‐Meng Ko & Chia Chun Lo & Liang Peng, 2025. "Can Storage Momentum and Its Difference of a Nonferrous Metal Predict Price Return?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(7), pages 831-843, July.
    38. Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2021. "Investor heterogeneity and momentum-based trading strategies in China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    39. Grobys, Klaus & Junttila, Juha, 2021. "Speculation and lottery-like demand in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    40. Sommerfeldt, Nelson & Pearce, Joshua M., 2023. "Can grid-tied solar photovoltaics lead to residential heating electrification? A techno-economic case study in the midwestern U.S," Applied Energy, Elsevier, vol. 336(C).
    41. Yufeng Han & Lingfei Kong, 2022. "A trend factor in commodity futures markets: Any economic gains from using information over investment horizons?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 803-822, May.
    42. Zhang, Junting & Liu, Haifei & Bai, Wei & Li, Xiaojing, 2024. "A hybrid approach of wavelet transform, ARIMA and LSTM model for the share price index futures forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
    43. Sina Ehsani & Juhani T. Linnainmaa, 2022. "Factor Momentum and the Momentum Factor," Journal of Finance, American Finance Association, vol. 77(3), pages 1877-1919, June.
    44. Han, Yufeng & Mo, Xi Nancy & Yang, Jian, 2025. "Trend factors around the world: Performance and determinants," Journal of Banking & Finance, Elsevier, vol. 181(C).
    45. Kai Biehl & Franziska Disslbacher & Michael Ertl & Georg Feigl & Julia Hofmann & Markus Marterbauer & Patrick Mokre & Reinhold Russinger & Matthias Schnetzer & Jana Schultheiss & Tobias Schweitzer & T, 2020. "Der österreichische Sozialstaat in der Covid-19-Krise," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 46(4), pages 487-500.
    46. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2023. "Gambling on Momentum in Contests," Economics Discussion Papers em-dp2023-08, Department of Economics, University of Reading.
    47. Couleau, Anabelle & Trujillo-Barrera, Andres A. & Etienne, Xiaoli L., 2023. "Dynamic Market Momentum: The case of Intraday Coffee Futures Prices," 2023 Annual Meeting, July 23-25, Washington D.C. 335655, Agricultural and Applied Economics Association.
    48. Rüdiger Weber & Annika Weber & Christine Laudenbach & Johannes Wohlfart, 2021. "Beliefs About the Stock Market and Investment Choices: Evidence from a Field Experiment," CEBI working paper series 21-17, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    49. Goulding, Christian L. & Harvey, Campbell R. & Mazzoleni, Michele G., 2023. "Momentum turning points," Journal of Financial Economics, Elsevier, vol. 149(3), pages 378-406.
    50. Simarjeet Singh & Nidhi Walia & Stelios Bekiros & Arushi Gupta & Jigyasu Kumar & Amar Kumar Mishra, 2022. "Risk-managed time-series momentum: an emerging economy experience," Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, vol. 27(54), pages 328-343, November.
    51. Andrew Detzel & Hong Liu & Jack Strauss & Guofu Zhou & Yingzi Zhu, 2021. "Learning and predictability via technical analysis: Evidence from bitcoin and stocks with hard‐to‐value fundamentals," Financial Management, Financial Management Association International, vol. 50(1), pages 107-137, March.
    52. Jing-Rung Yu & Chieh-Hui Wei & Chi-Ju Lai & Wen-Yi Lee, 2023. "Extending the Omega model with momentum and reversal strategies to intraday trading," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-15, September.
    53. Islam, M.S. & Das, Barun K. & Das, Pronob & Rahaman, Md Habibur, 2021. "Techno-economic optimization of a zero emission energy system for a coastal community in Newfoundland, Canada," Energy, Elsevier, vol. 220(C).
    54. Couleau, Anabelle & Trujillo-Barrera, Andres & Etienne, Xiaoli, 2026. "Intraday market momentum in coffee futures: Dynamics and drivers," Journal of Commodity Markets, Elsevier, vol. 41(C).
    55. Proelss, Juliane & Schweizer, Denis & Buchwalter, Bastien, 2025. "Do risk preferences drive momentum in cryptocurrencies?," Finance Research Letters, Elsevier, vol. 73(C).
    56. Borgards, Oliver, 2021. "Dynamic time series momentum of cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    57. Quanbiao Shang & Teresa Serra & Philip Garcia, 2023. "Ride the trend: Is there spread momentum profit in the US commodity markets?," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 24-47, February.
    58. Ming, Lei & Song, Wuqi & Dong, Minyi, 2023. "Revisiting time series momentum in China's commodity futures market: Evidence on sources of momentum profits," Economic Modelling, Elsevier, vol. 128(C).

  5. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.

    Cited by:

    1. Fang, Yi & Wang, Qi & Wang, Yanru & Yuan, Yan, 2024. "Media sentiment, deposit stability and bank systemic risk: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 1150-1172.
    2. Białkowski, Jędrzej & Wei, Xiaopeng, 2025. "Quality of political information and return predictability: Evidence from investor sentiment and risk aversion," Journal of Banking & Finance, Elsevier, vol. 177(C).
    3. Chen, Shaoling & Gao, Qing & Peng, Qing & Yang, Haisheng, 2021. "Government-decentralized power: Measurement and effects," Emerging Markets Review, Elsevier, vol. 48(C).
    4. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
    5. Dai, Zhifeng & Chang, Xiaoming, 2021. "Forecasting stock market volatility: Can the risk aversion measure exert an important role?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    6. Vu, Lien Phuong Thi & Mai, Anh Ngoc & Nguyen, Thai Hoang & Nguyen, Tuan Hoang & Nguyen, Thuy Thanh & Bui, Quyen To, 2025. "Do narrative-related disclosures in annual reports influence corporate risk-taking? Insights from an emerging economy," International Review of Economics & Finance, Elsevier, vol. 103(C).
    7. Chai, Bailin & Jiang, Fuwei & Lin, Yihao & You, Tian, 2025. "Predicting bond risk premiums with machine learning: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    8. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021. "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers 202118, University of Pretoria, Department of Economics.
    9. Xu, Yongan & Liang, Chao & Wang, Jianqiong, 2023. "Financial stress and returns predictability: Fresh evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    10. Jiang, Dequan & Li, Weiping & Shen, Yongjian & Yu, Shuangli, 2022. "Does air pollution affect earnings management? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    11. Jonas Ewertz & Charlotte Knickrehm & Martin Nienhaus & Doron Reichmann, 2026. "Listen Closely: Measuring Vocal Tone in Corporate Disclosures," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 64(1), pages 229-277, March.
    12. Zhang, Huajing & Jiang, Fuwei & Liu, Yumin, 2024. "Extrapolative beliefs and return predictability: Evidence from China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
    13. Antonio Gargano & Juan Sotes-Paladino & Patrick Verwijmeren, 2022. "Out of Sync: Dispersed Short Selling and the Correction of Mispricing," Working Papers 108, Red Nacional de Investigadores en Economía (RedNIE).
    14. Chen Zhu, 2025. "Asymmetric Spillover Effects Between Shanghai-Hong Kong Stock Connect Capital Flows and Stock Market Volatility: A Dynamic Analysis Based on Investor Sentiment," SAGE Open, , vol. 15(3), pages 21582440251, August.
    15. Aakriti Mathur & Rajeswari Sengupta & Bhanu Pratap, 2022. "Saved by the bell? Equity market responses to surprise Covid-19 lockdowns and central bank interventions," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-001, Indira Gandhi Institute of Development Research, Mumbai, India.
    16. Tian, Guangning & Peng, Yuchao & Meng, Yuhao, 2023. "Forecasting crude oil prices in the COVID-19 era: Can machine learn better?," Energy Economics, Elsevier, vol. 125(C).
    17. Diego Pitta Jesus & Elvira Helena Oliveira Medeiros & Lucas Lúcio Godeiro & Andressa Lemes Proque, 2025. "Forecasting Brazilian Stock Market Using Sentiment Indices from Textual Data, Chat-GPT-Based and Technical Indicators," Computational Economics, Springer;Society for Computational Economics, vol. 66(5), pages 3735-3780, November.
    18. Zhuo Huang & Fang Liang & Chen Tong, 2021. "The predictive power of macroeconomic uncertainty for commodity futures volatility," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 989-1012, September.
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    21. Xiaojun Chu & Jianying Qiu, 2021. "Forecasting stock returns using first half an hour order imbalance," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3236-3245, July.
    22. Baik, Bok & Kim, Alex G. & Kim, David S. & Yoon, Sangwon, 2025. "Vocal delivery quality in earnings conference calls," Journal of Accounting and Economics, Elsevier, vol. 80(1).
    23. Samuel YM Ze‐To, 2022. "Fundamental index aligned and excess market return predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 592-614, April.
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    33. Yao, Kai & Chevapatrakul, Thanaset & Nguyen, Thach Vu Hong & Yin, Shiyan, 2026. "Uncertainty words and corporate information environment," Research in International Business and Finance, Elsevier, vol. 81(C).
    34. Nie, Li & Wang, Yulong & Shi, Kai, 2025. "Financial market responses to the policy language of forward guidance: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 317-335.
    35. Zachary McGurk & Adam Nowak & Joshua C. Hall, 2019. "Stock Returns and Investor Sentiment: Textual Analysis and Social Media," Working Papers 19-03, Department of Economics, West Virginia University.
    36. Fuwei Jiang & Fujing Jin & Kejia Zhang, 2023. "Financial openness and profitability premium: Causal evidence from the Shanghai‐Hong Kong Stock Connect," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 451-483, March.
    37. Nan Hu & Xingnan Xue & Ling Liu, 2022. "The impact of air pollution on financial reporting quality: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3609-3644, September.
    38. Di (Andrew) Wu, 2024. "Text-Based Measure of Supply Chain Risk Exposure," Management Science, INFORMS, vol. 70(7), pages 4781-4801, July.
    39. Ma, Tian & Li, Ganghui & Zhang, Huajing, 2024. "Stock return predictability using economic narrative: Evidence from energy sectors," Journal of Commodity Markets, Elsevier, vol. 35(C).
    40. Guo, Yangli & Ma, Feng & Li, Haibo & Lai, Xiaodong, 2022. "Oil price volatility predictability based on global economic conditions," International Review of Financial Analysis, Elsevier, vol. 82(C).
    41. Zhang, Yaojie & Tian, Linxing & Zhang, Zhikai, 2025. "Petroleum volatility spillover index and stock return predictability," Energy Economics, Elsevier, vol. 150(C).
    42. Bryan T. Kelly & Asaf Manela & Alan Moreira, 2019. "Text Selection," NBER Working Papers 26517, National Bureau of Economic Research, Inc.
    43. Kaiji Chen & Mr. Yunhui Zhao, 2024. "Chinese Housing Market Sentiment Index: A Generative AI Approach and An Application to Monetary Policy Transmission," IMF Working Papers 2024/264, International Monetary Fund.
    44. Padma Kadiyala, 2022. "Response of ETF flows and long-run returns to investor sentiment," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 489-531, December.
    45. Karavitis, Panagiotis & Kazakis, Pantelis, 2022. "Political sentiment and syndicated loan borrowing costs of multinational enterprises," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    46. Li, Kaixin & Zhang, Zhikai & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil returns with oil-related industry ESG indices," Journal of Commodity Markets, Elsevier, vol. 36(C).
    47. Chen Gu & Xu Guo & Ruwan Adikaram & Kam C. Chan & Jing Lu, 2023. "Treasury return predictability and investor sentiment," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(4), pages 905-924, December.
    48. 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).
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    63. Obaid, Khaled & Pukthuanthong, Kuntara, 2022. "A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news," Journal of Financial Economics, Elsevier, vol. 144(1), pages 273-297.
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    2. Sebastian Stöckl & Lars Kaiser, 2021. "Higher moments matter! Cross‐sectional (higher) moments and the predictability of stock returns," Review of Financial Economics, John Wiley & Sons, vol. 39(4), pages 455-481, October.
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    4. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
    5. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    6. Viet Anh Nguyen & Fan Zhang & Shanshan Wang & José Blanchet & Erick Delage & Yinyu Ye, 2025. "Robustifying Conditional Portfolio Decisions via Optimal Transport," Operations Research, INFORMS, vol. 73(5), pages 2801-2829, September.
    7. Kostakis, Alexandros & Magdalinos, Tassos & Stamatogiannis, Michalis P., 2023. "Taking stock of long-horizon predictability tests: Are factor returns predictable?," Journal of Econometrics, Elsevier, vol. 237(2).
    8. Faias, José Afonso, 2023. "Predicting the equity risk premium using the smooth cross-sectional tail risk: The importance of correlation," Journal of Financial Markets, Elsevier, vol. 63(C).
    9. Davide Pettenuzzo & Zhiyuan Pan & Yudong Wang, 2017. "Forecasting Stock Returns: A Predictor-Constrained Approach," Working Papers 116R, Brandeis University, Department of Economics and International Business School, revised Feb 2018.
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    22. Antonio Gargano & Juan Sotes-Paladino & Patrick Verwijmeren, 2022. "Short of Capital: Stock Market Implications of Short Sellers’ Losses," Working Papers 116, Red Nacional de Investigadores en Economía (RedNIE).
    23. Jun Li & Huijun Wang & Jianfeng Yu, 2018. "Aggregate Expected Investment Growth and Stock Market Returns," ADBI Working Papers 808, Asian Development Bank Institute.
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    25. José Afonso Faias & Juan Arismendi Zambrano, 2022. "Equity Risk Premium Predictability from Cross-Sectoral Downturns [International asset allocation with regime shifts]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(3), pages 808-842.
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    1. Luo, Yi-Lang & Li, Wen-Bo & Chen, Xuesheng, 2025. "Dynamic relationship between stock markets and renewable energy development: Evidence from cross-country data," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1262-1274.
    2. Kleibergen, Frank & Zhan, Zhaoguo, 2025. "Risk premia from the cross-section of individual assets," Journal of Econometrics, Elsevier, vol. 252(PA).
    3. José Luis Montiel Olea & Pietro Ortoleva & Mallesh Pai & Andrea Prat, 2021. "Competing Models," Working Papers 2021-89, Princeton University. Economics Department..
    4. M. Hashem Pesaran & Ron P. Smith, 2021. "Arbitrage Pricing Theory, the Stochastic Discount Factor and Estimation of Risk Premia from Portfolios," CESifo Working Paper Series 9001, CESifo.
    5. Elias Cavalcante-Filho, Fernando Chague, Rodrigo De Losso, Bruno Giovannetti, 2019. "US Risk Premia under Emerging Markets Constraints," Working Papers, Department of Economics 2019_28, University of São Paulo (FEA-USP).
    6. Stefano Giglio & Dacheng Xiu, 2017. "Inference on Risk Premia in the Presence of Omitted Factors," NBER Working Papers 23527, National Bureau of Economic Research, Inc.
    7. M. Hashem Pesaran & Ron P. Smith, 2019. "The Role of Factor Strength and Pricing Errors for Estimation and Inference in Asset Pricing Models," CESifo Working Paper Series 7919, CESifo.
    8. Han, Yufeng & Zhou, Guofu & Zhu, Yingzi, 2016. "A trend factor: Any economic gains from using information over investment horizons?," Journal of Financial Economics, Elsevier, vol. 122(2), pages 352-375.
    9. M. Hashem Pesaran & Run Smith, 2021. "Arbitrage pricing theory, the stochastic discount factor and estimation of risk premia in portfolios," BCAM Working Papers 2108, Birkbeck Centre for Applied Macroeconomics.
    10. M. Hashem Pesaran & Ron P. Smith, 2021. "Factor Strengths, Pricing Errors, and Estimation of Risk Premia," CESifo Working Paper Series 8947, CESifo.

  8. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.

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    1. Zuzana Rakovska & Dominika Ehrenbergerova & Martin Hodula, 2020. "The Power of Sentiment: Irrational Beliefs of Households and Consumer Loan Dynamics," Working Papers 2020/10, Czech National Bank, Research and Statistics Department.
    2. Li, Yuan & Ran, Jimmy, 2020. "Investor Sentiment and Stock Price Premium Validation with Siamese Twins from China," Journal of Multinational Financial Management, Elsevier, vol. 57.
    3. Białkowski, Jędrzej & Wei, Xiaopeng, 2025. "Quality of political information and return predictability: Evidence from investor sentiment and risk aversion," Journal of Banking & Finance, Elsevier, vol. 177(C).
    4. Yin, Libo & Xin, Yu, 2024. "China's cognitive bias premium: An exploration of innovation information," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    5. 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.
    6. ?ikolaos A. Kyriazis, 2021. "Impacts of Stock Indices, Oil, and Twitter Sentiment on Major Cryptocurrencies during the COVID-19 First Wave," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 133-146.
    7. Papapostolou, Nikos C. & Pouliasis, Panos K. & Nomikos, Nikos K. & Kyriakou, Ioannis, 2016. "Shipping investor sentiment and international stock return predictability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 81-94.
    8. Wang, Yubao & Huang, Xiaozhou & Huang, Zhendong, 2024. "Energy-related uncertainty and Chinese stock market returns," Finance Research Letters, Elsevier, vol. 62(PB).
    9. Su, Yuandong & Lu, Xinjie & Zeng, Qing & Huang, Dengshi, 2022. "Good air quality and stock market returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    10. Yang, Bingduo & Long, Wei & Yang, Zihui, 2022. "Testing predictability of stock returns under possible bubbles," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 246-260.
    11. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
    12. Yun Liu & Dengshi Huang & Jianan Zhou & Sirui Wang, 2024. "Does image sentiment of major public emergency affect the stock market performance? New insight from deep learning techniques," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(4), pages 4447-4472, December.
    13. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    14. Rubini Sampath Sena & R. Madhumathi, 2026. "Investor Sentiment and Stock Price Crash Risk: Indian Perspective," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 33(2), pages 537-558, June.
    15. Chue, Timothy K. & Gul, Ferdinand A. & Mian, G. Mujtaba, 2019. "Aggregate investor sentiment and stock return synchronicity," Journal of Banking & Finance, Elsevier, vol. 108(C).
    16. Hou, Yang & Meng, Jiayin, 2018. "The momentum effect in the Chinese market and its relationship with the simultaneous and the lagged investor sentiment," MPRA Paper 94838, University Library of Munich, Germany.
    17. Xu, Zhiwei & Gan, Shiqi & Hua, Xia & Xiong, Yujie, 2024. "Can the sentiment of the official media predict the return volatility of the Chinese crude oil futures?," Energy Economics, Elsevier, vol. 140(C).
    18. Riso, Luigi & Vacca, Gianmarco, 2024. "Sentiment dynamics and volatility: A study based on GARCH-MIDAS and machine learning," Finance Research Letters, Elsevier, vol. 62(PB).
    19. Wen, Chufu & Zhu, Haoyang & Dai, Zhifeng, 2023. "Forecasting commodity prices returns: The role of partial least squares approach," Energy Economics, Elsevier, vol. 125(C).
    20. Chai, Bailin & Jiang, Fuwei & Lin, Yihao & You, Tian, 2025. "Predicting bond risk premiums with machine learning: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    21. Udoka Bernard ALAJEKWU & Michael Chukwumee OBIALOR & Cyprian Okey OKORO, 2017. "Ffect Of Investor Sentiment On Future Returns In The Nigerian Stock Market," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 17(2), pages 103-126.
    22. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021. "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers 202118, University of Pretoria, Department of Economics.
    23. Rui Liu & Jiayou Liang & Haolong Chen & Yujia Hu, 2024. "Analyst Reports and Stock Performance: Evidence from the Chinese Market," Papers 2411.08726, arXiv.org, revised Mar 2025.
    24. Guo, Xu & Gu, Chen & Zhang, Chengping & Li, Shenru, 2024. "Institutional herding and investor sentiment," Journal of Financial Markets, Elsevier, vol. 68(C).
    25. Chue, Timothy K. & Hu, Yunke Katelyn, 2026. "Investor sentiment and the crash risk of anomalies," Finance Research Letters, Elsevier, vol. 88(C).
    26. Shi, Qi & Li, Bin, 2022. "Further evidence on financial information and economic activity forecasts in the United States," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    27. Xu, Yongan & Liang, Chao & Wang, Jianqiong, 2023. "Financial stress and returns predictability: Fresh evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    28. Davide Pettenuzzo & Zhiyuan Pan & Yudong Wang, 2017. "Forecasting Stock Returns: A Predictor-Constrained Approach," Working Papers 116R, Brandeis University, Department of Economics and International Business School, revised Feb 2018.
    29. Li, Shuaibing & Ma, Yong, 2025. "News-based equity market uncertainty aligned: An informative predictor for gold market volatility," Journal of Commodity Markets, Elsevier, vol. 40(C).
    30. Zhufeng Wang & Lu Wang & Zitao Zhang, 2026. "Predicting New Energy Prices: Are Technical Indicators and Regime-Switching Models Helpful?," Evaluation Review, , vol. 50(3), pages 315-345, June.
    31. Yuan Li, 2022. "Mood Beta, Sentiment and Stock Returns in China," SAGE Open, , vol. 12(1), pages 21582440221, February.
    32. Chen, Jian & Jiang, Fuwei & Xue, Shuyu & Yao, Jiaquan, 2019. "The world predictive power of U.S. equity market skewness risk," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 210-227.
    33. Ma, Jiantao & Zhang, Yuanyi, 2025. "Option price asymmetry, speculation and stock short-sale cost," Journal of Banking & Finance, Elsevier, vol. 180(C).
    34. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    35. Zhang, Huajing & Jiang, Fuwei & Liu, Yumin, 2024. "Extrapolative beliefs and return predictability: Evidence from China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
    36. Chen Zhu, 2025. "Asymmetric Spillover Effects Between Shanghai-Hong Kong Stock Connect Capital Flows and Stock Market Volatility: A Dynamic Analysis Based on Investor Sentiment," SAGE Open, , vol. 15(3), pages 21582440251, August.
    37. Onur Polat & Oguzhan Cepni & Riza Demirer & Rangan Gupta, 2026. "AI Revolution and Crash Risks in Technology Stocks," Working Papers 202617, University of Pretoria, Department of Economics.
    38. Hyder Ali & Salma Naz, 2025. "Forecasting Equity Premium in the Face of Climate Policy Uncertainty," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 513-546, March.
    39. Li, Zhuo & Wen, Fenghua & Huang, Zhijian James, 2023. "Asymmetric response to earnings news across different sentiment states: The role of cognitive dissonance," Journal of Corporate Finance, Elsevier, vol. 78(C).
    40. Zhaobo Zhu & Dehua Shen, 2025. "Investor sentiment, limits to arbitrage, and hard-to-value stocks," Review of Quantitative Finance and Accounting, Springer, vol. 65(2), pages 573-597, August.
    41. Bäumer, Marcus, 2020. "What matters to investment professionals in decision making? The role of soft factors in stock selection," EIKV-Schriftenreihe zum Wissens- und Wertemanagement, European Institute for Knowledge & Value Management (EIKV), Luxembourg, volume 44, number 44, December.
    42. Riza Demirer & Konstantinos Gkillas & Christos Kountzakis & Amaryllis Mavragani, 2020. "Risk Appetite and Jumps in Realized Correlation," Mathematics, MDPI, vol. 8(12), pages 1-11, December.
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    2. Eom, Cheoljun & Park, Jong Won, 2023. "Price behavior of small-cap stocks and momentum: A study using principal component momentum," Research in International Business and Finance, Elsevier, vol. 65(C).
    3. Ding, Wenjie & Mazouz, Khelifa & Wang, Qingwei, 2021. "Volatility timing, sentiment, and the short-term profitability of VIX-based cross-sectional trading strategies," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 42-56.
    4. Doron Avramov & Guy Kaplanski & Avanidhar Subrahmanyam, 2022. "Postfundamentals Price Drift in Capital Markets: A Regression Regularization Perspective," Management Science, INFORMS, vol. 68(10), pages 7658-7681, October.
    5. Matthew Lorig & Zhou Zhou & Bin Zou, 2017. "A Mathematical Analysis of Technical Analysis," Papers 1710.09476, arXiv.org, revised Feb 2019.
    6. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Economic news and the cross-section of commodity futures returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    7. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    8. Hung, Chiayu & Lai, Hung-Neng, 2022. "Information asymmetry and the profitability of technical analysis," Journal of Banking & Finance, Elsevier, vol. 134(C).
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    10. Anghel, Dan Gabriel, 2021. "Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models," Journal of Banking & Finance, Elsevier, vol. 126(C).
    11. Zhang, Manqing & Ma, Yao & Yang, Baochen & Fan, Ying, 2024. "The change in salience and the cross-section of stock returns: Empirical evidence from China A-shares," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
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    23. Paskalis Glabadanidis, 2015. "Market Timing With Moving Averages," International Review of Finance, International Review of Finance Ltd., vol. 15(3), pages 387-425, September.
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    25. Han, Yufeng & Hu, Ting & Yang, Jian, 2016. "Are there exploitable trends in commodity futures prices?," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 214-234.
    26. Paskalis Glabadanidis, 2017. "Timing the Market with a Combination of Moving Averages," International Review of Finance, International Review of Finance Ltd., vol. 17(3), pages 353-394, September.
    27. Urquhart, Andrew & Zhang, Hanxiong, 2019. "The performance of technical trading rules in Socially Responsible Investments," International Review of Economics & Finance, Elsevier, vol. 63(C), pages 397-411.
    28. Zhang Enguang & Ma He, 2023. "An Empirical Study on Chinese Futures Market Based on Bollinger Bands Strategy and R," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 12(4), pages 1-1.
    29. Jin, Xiaoye, 2022. "Testing technical trading strategies on China's equity ETFs: A skewness perspective," Emerging Markets Review, Elsevier, vol. 51(PA).
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    32. Achim BACKHAUS & Aliya ZHAKANOVA ISIKSAL, 2016. "The Impact of Momentum Factors on Multi Asset Portfolio," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 146-169, December.
    33. Ansari Saleh Ahmar, 2017. "Sutte Indicator: A Technical Indicator in Stock Market," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 7(2), pages 223-226.
    34. Allen Yikuan Huang & Zheqi Fan, 2026. "Beyond Prompting: An Autonomous Framework for Systematic Factor Investing via Agentic AI," Papers 2603.14288, arXiv.org, revised Apr 2026.
    35. Szymon Lis, 2024. "Investor Sentiment in Asset Pricing Models: A Review of Empirical Evidence," Papers 2411.13180, arXiv.org.
    36. Lu, Tsung-Hsun & Chen, Yi-Chi & Hsu, Yu-Chin, 2015. "Trend definition or holding strategy: What determines the profitability of candlestick charting?," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 172-183.
    37. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2021. "Financial news and CDS spreads," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
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    Cited by:

    1. Marcos Escobar & Sebastian Ferrando & Alexey Rubtsov, 2017. "Optimal investment under multi-factor stochastic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 241-260, February.
    2. Wang, Qi & Wang, Zerong, 2020. "VIX valuation and its futures pricing through a generalized affine realized volatility model with hidden components and jump," Journal of Banking & Finance, Elsevier, vol. 116(C).
    3. Olesya V. Grishchenko & Zhaogang Song & Hao Zhou, 2015. "Term Structure of Interest Rates with Short-run and Long-run Risks," Finance and Economics Discussion Series 2015-95, Board of Governors of the Federal Reserve System (U.S.).
    4. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    5. Victor Troster & José Penalva & Abderrahim Taamouti & Dominik Wied, 2021. "Cointegration, information transmission, and the lead‐lag effect between industry portfolios and the stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1291-1309, November.
    6. Dew-Becker, Ian & Giglio, Stefano & Le, Anh & Rodriguez, Marius, 2017. "The price of variance risk," Journal of Financial Economics, Elsevier, vol. 123(2), pages 225-250.
    7. Warren Bailey & Lin Zheng & Yinggang Zhou, 2012. "What Makes the VIX Tick?," Working Papers 222012, Hong Kong Institute for Monetary Research.
    8. Tang, Yusui & Guo, Yangli & Cao, Jiawei, 2026. "Energy market volatility prediction: Does climate risk matter?," International Review of Financial Analysis, Elsevier, vol. 109(C).
    9. Moreira, Alan & Muir, Tyler, 2019. "Should Long-Term Investors Time Volatility?," Journal of Financial Economics, Elsevier, vol. 131(3), pages 507-527.
    10. Chen, Xingjiang & Ruan, Xinfeng & Zhang, Wenjun, 2021. "Dynamic portfolio choice and information trading with recursive utility," Economic Modelling, Elsevier, vol. 98(C), pages 154-167.
    11. Song, Zhaogang & Xiu, Dacheng, 2016. "A tale of two option markets: Pricing kernels and volatility risk," Journal of Econometrics, Elsevier, vol. 190(1), pages 176-196.
    12. Rytchkov, Oleg, 2016. "Time-Varying Margin Requirements and Optimal Portfolio Choice," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(2), pages 655-683, April.

  12. Raymond Kan & Guofu Zhou, 2012. "Tests of Mean-Variance Spanning," Annals of Economics and Finance, Society for AEF, vol. 13(1), pages 139-187, May.
    See citations under working paper version above.
  13. Tu, Jun & Zhou, Guofu, 2011. "Markowitz meets Talmud: A combination of sophisticated and naive diversification strategies," Journal of Financial Economics, Elsevier, vol. 99(1), pages 204-215, January.

    Cited by:

    1. Rand Kwong Yew Low, 2018. "Vine copulas: modelling systemic risk and enhancing higher‐moment portfolio optimisation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 423-463, November.
    2. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty: Adaptive Mixing of High- and Low-Frequency Information," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168222, Verein für Socialpolitik / German Economic Association.
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    1. Lee, Hangsuck & Ryu, Doojin & Son, Jihoon, 2022. "Insurance-adjusted valuation, decision making, and capital return," International Review of Financial Analysis, Elsevier, vol. 84(C).
    2. Agrawal, Ashwini K. & Matsa, David A., 2013. "Labor unemployment risk and corporate financing decisions," LSE Research Online Documents on Economics 69608, London School of Economics and Political Science, LSE Library.
    3. Da Ke, 2021. "Who Wears the Pants? Gender Identity Norms and Intrahousehold Financial Decision‐Making," Journal of Finance, American Finance Association, vol. 76(3), pages 1389-1425, June.
    4. Guo, Mengmeng & Wu, Na & Zhao, Junyi, 2026. "Extreme heat and stock market participation: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 184(C).
    5. Caroline Flammer & Jiao Luo, 2017. "Corporate social responsibility as an employee governance tool: Evidence from a quasi-experiment," Strategic Management Journal, Wiley Blackwell, vol. 38(2), pages 163-183, February.
    6. Dal Borgo, Mariela, 2021. "Do bankruptcy protection levels affect households' demand for stocks?," CAGE Online Working Paper Series 564, Competitive Advantage in the Global Economy (CAGE).
    7. Xin, Xinyi & Zhang, Anquan & Liu, Lu, 2024. "Study on the influence of Internet finance on urban household savings rate: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 45-61.
    8. Liu, Xueying & Zhao, Zhong, 2025. "Does social pension insurance increase the efficiency of household financial portfolios?," Finance Research Letters, Elsevier, vol. 81(C).
    9. Yinan Yang & Qian Wang, 2018. "Insurance Inclusion, Time Preference And Stock Investment Of The Chinese Households," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(01), pages 27-44, March.
    10. Sinha, Rajesh Kumar, 2021. "Macro disagreement and analyst forecast properties," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(1).
    11. Carpio, Ronaldo & Guo, Meixin & Liu, Yuan & Pyun, Ju Hyun, 2021. "Wealth heterogeneity, information acquisition and equity home bias: Evidence from U.S. household surveys of consumer finance," Journal of Banking & Finance, Elsevier, vol. 126(C).
    12. Bae, Se Yung & Jeon, Junkee & Koo, Hyeng Keun & Park, Kyunghyun, 2020. "Social insurance for the elderly," Economic Modelling, Elsevier, vol. 91(C), pages 274-299.
    13. Ulya Tsolmon & Dan Ariely, 2022. "Health insurance benefits as a labor market friction: Evidence from a quasi‐experiment," Strategic Management Journal, Wiley Blackwell, vol. 43(8), pages 1556-1574, August.
    14. Li, Jingrong & Mi, Xinyu & Zhang, Chenlei & Qin, Yanran, 2024. "Social pension insurance and household risky asset investment: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 219-233.
    15. Peter Chinloy & Daniel Winkler, 2012. "Contracts, Individual Revenue and Performance," Journal of Labor Research, Springer, vol. 33(4), pages 545-562, December.
    16. Wang, Yizi & He, Xiaoying, 2024. "Does purchasing commercial insurance promote household consumption? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    17. Alain Bensoussan & Bong-Gyu Jang & Seyoung Park, 2016. "Unemployment Risks and Optimal Retirement in an Incomplete Market," Operations Research, INFORMS, vol. 64(4), pages 1015-1032, August.
    18. Seyoung Park, 2025. "Income disaster model with optimal consumption," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 80(1), pages 241-320, August.
    19. He, Zekai & Shi, Xiuzhen & Lu, Xiaomeng & Li, Feng, 2019. "Home equity and household portfolio choice: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 149-164.
    20. Yulin Liu & Min Zhang, 2020. "Is household registration system responsible for the limited participation of stock market in China?," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 13(3), pages 332-350, July.
    21. Jiao, Lei & Lu, Sijin & Chen, Changchun & Feng, Yu, 2024. "Social security, relative deprivation, digital capacity, and household financial investment behavior," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    22. Yingying Zhang & Shu Fang, 2025. "Housing Provident Fund, risk attitude, and household financial investment engagement: an asset-building perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
    23. Jang, Chul & Park, Seyoung, 2026. "Inflation attention and optimal decisions: Consumption/savings puzzle and asset prices," Economics Letters, Elsevier, vol. 261(C).
    24. Niu, Geng & Wang, Qi & Li, Han & Zhou, Yang, 2020. "Number of brothers, risk sharing, and stock market participation," Journal of Banking & Finance, Elsevier, vol. 113(C).
    25. He, Min & Lin, Lin, 2024. "China’s public long-term care insurance and risky asset allocation among elderly households," The Journal of the Economics of Ageing, Elsevier, vol. 29(C).
    26. Rui Li & Jing Wu & Shuo Zhang & Siqing Zhang & Yuanyang Wu, 2023. "Social Endowment Insurance and Inequality of the Household Portfolio Choice: The Moderating Effect of Financial Literacy," SAGE Open, , vol. 13(1), pages 21582440231, February.
    27. Devos, Erik & Rahman, Shofiqur, 2018. "Labor unemployment insurance and firm cash holdings," Journal of Corporate Finance, Elsevier, vol. 49(C), pages 15-31.
    28. Jang, Bong-Gyu & Park, Seyoung & Rhee, Yuna, 2013. "Optimal retirement with unemployment risks," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3585-3604.
    29. Jang, Bong-Gyu & Park, Seyoung & Zhao, Huainan, 2020. "Optimal retirement with borrowing constraints and forced unemployment risk," Insurance: Mathematics and Economics, Elsevier, vol. 94(C), pages 25-39.
    30. Ya-Fang Cheng & Eugene Burgos Mutuc & Fu-Sheng Tsai & Kun-Hwa Lu & Chien-Ho Lin, 2018. "Social Capital and Stock Market Participation via Technologies: The Role of Households’ Risk Attitude and Cognitive Ability," Sustainability, MDPI, vol. 10(6), pages 1-14, June.
    31. Francesco D'Acunto & Marcel Prokopczuk & Michael Weber & Michael Weber, 2017. "Historical Antisemitism, Ethnic Specialization, and Financial Development," CESifo Working Paper Series 6643, CESifo.
    32. Qiuyun Wang & Lu Liu, 2022. "Pandemic or panic? A firm-level study on the psychological and industrial impacts of COVID-19 on the Chinese stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    33. Cancheng Hong & Di He & Ting Ren, 2023. "The Impact of Commercial Medical Insurance Participation on Household Debt," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    34. Joanne W. Hsu & David A. Matsa & Brian T. Melzer, 2014. "Positive Externalities of Social Insurance: Unemployment Insurance and Consumer Credit," NBER Working Papers 20353, National Bureau of Economic Research, Inc.
    35. Devos, Erik & Rahman, Shofiqur, 2023. "Does labor unemployment insurance affect corporate tax aggressiveness?," International Review of Financial Analysis, Elsevier, vol. 90(C).
    36. Barone, Simona & Oggero, Noemi & Damilano, Marina, 2026. "Financial literacy and international portfolio diversification," International Review of Economics & Finance, Elsevier, vol. 105(C).
    37. Gill, Balbinder Singh, 2023. "Health uninsurance premium and mortgage interest rates," International Review of Financial Analysis, Elsevier, vol. 87(C).
    38. Qiu, Weisong, 2025. "Does mobile payment adoption increase household portfolio diversification? Evidence from China," Finance Research Letters, Elsevier, vol. 75(C).
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  15. Zhou, Guofu, 2010. "How much stock return predictability can we expect from an asset pricing model?," Economics Letters, Elsevier, vol. 108(2), pages 184-186, August.

    Cited by:

    1. Cunha, Ronan & Pereira, Pedro L. Valls, 2015. "Automatic model selection for forecasting Brazilian stock returns," Textos para discussão 398, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Allan Timmermann, 2018. "Forecasting Methods in Finance," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 449-479, November.
    3. Tom Engsted & Stig V. Møller & Magnus Sander, 2013. "Bond return predictability in expansions and recessions," CREATES Research Papers 2013-13, Department of Economics and Business Economics, Aarhus University.
    4. Brennan, M.J. & Taylor, Alex P., 2023. "Expected returns and risk in the stock market," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 276-300.
    5. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.
    6. Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2014. "Forecasting stock returns under economic constraints," Journal of Financial Economics, Elsevier, vol. 114(3), pages 517-553.
    7. Timmermann, Allan, 2018. "Forecasting Methods in Finance," CEPR Discussion Papers 12692, Centre for Economic Policy Research.
    8. Hammerschmid, Regina & Lohre, Harald, 2018. "Regime shifts and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 138-160.
    9. Baetje, Fabian & Menkhoff, Lukas, 2013. "Macro determinants of U.S. stock market risk premia in bull and bear markets," Hannover Economic Papers (HEP) dp-520, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    10. Baoqing Gan, 2020. "Does Social Media Sentiment Trump News?," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2020, January-A.
    11. Clint Howard & Harald Lohre & Sebastiaan Mudde, 2025. "Causal Network Representations in Factor Investing," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 32(1), March.
    12. Potì, Valerio & Levich, Richard & Conlon, Thomas, 2020. "Predictability and pricing efficiency in forward and spot, developed and emerging currency markets," Journal of International Money and Finance, Elsevier, vol. 107(C).
    13. Becker, Janis & Leschinski, Christian, 2018. "Directional Predictability of Daily Stock Returns," Hannover Economic Papers (HEP) dp-624, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    14. David E. Rapach & Matthew C. Ringgenberg & Guofu Zhou, 2016. "Short interest and aggregate stock returns," CEMA Working Papers 716, China Economics and Management Academy, Central University of Finance and Economics.
    15. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    16. Bätje, Fabian & Menkhoff, Lukas, 2016. "Predicting the equity premium via its components," VfS Annual Conference 2016 (Augsburg): Demographic Change 145789, Verein für Socialpolitik / German Economic Association.
    17. Li Liu & Zhiyuan Pan & Yudong Wang, 2022. "Shrinking return forecasts," The Financial Review, Eastern Finance Association, vol. 57(3), pages 641-661, August.
    18. Hjalmarsson, Erik, 2018. "Maximal predictability under long-term mean reversion," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 269-282.
    19. Potì, Valerio, 2018. "A new tight and general bound on return predictability," Economics Letters, Elsevier, vol. 162(C), pages 140-145.
    20. Hai Lin & Daniel Quill & Henk Berkman, 2016. "Information diffusion and the predictability of New Zealand stock market returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 56(3), pages 749-785, September.
    21. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 328-383, Elsevier.
    22. Fletcher, Jonathan & Basu, Devraj, 2016. "An examination of the benefits of dynamic trading strategies in U.K. closed-end funds," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 109-118.

  16. Frank Fabozzi & Dashan Huang & Guofu Zhou, 2010. "Robust portfolios: contributions from operations research and finance," Annals of Operations Research, Springer, vol. 176(1), pages 191-220, April.

    Cited by:

    1. Güray Kara & Ayşe Özmen & Gerhard-Wilhelm Weber, 2019. "Stability advances in robust portfolio optimization under parallelepiped uncertainty," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 241-261, March.
    2. Panos Xidonas & Ralph Steuer & Christis Hassapis, 2020. "Robust portfolio optimization: a categorized bibliographic review," Annals of Operations Research, Springer, vol. 292(1), pages 533-552, September.
    3. Martin Branda & Max Bucher & Michal Červinka & Alexandra Schwartz, 2018. "Convergence of a Scholtes-type regularization method for cardinality-constrained optimization problems with an application in sparse robust portfolio optimization," Computational Optimization and Applications, Springer, vol. 70(2), pages 503-530, June.
    4. K. Liagkouras & K. Metaxiotis, 2018. "A new efficiently encoded multiobjective algorithm for the solution of the cardinality constrained portfolio optimization problem," Annals of Operations Research, Springer, vol. 267(1), pages 281-319, August.
    5. Jang Ho Kim & Yongjae Lee & Woo Chang Kim & Frank J. Fabozzi, 2022. "Goal-based investing based on multi-stage robust portfolio optimization," Annals of Operations Research, Springer, vol. 313(2), pages 1141-1158, June.
    6. Gabrel, Virginie & Murat, Cécile & Thiele, Aurélie, 2014. "Recent advances in robust optimization: An overview," European Journal of Operational Research, Elsevier, vol. 235(3), pages 471-483.
    7. William Lefebvre & Grégoire Loeper & Huyên Pham, 2020. "Mean-Variance Portfolio Selection with Tracking Error Penalization," Mathematics, MDPI, vol. 8(11), pages 1-23, November.
    8. Hongxin Zhao & Yilun Jiang & Yizhou Yang, 2023. "Robust and Sparse Portfolio: Optimization Models and Algorithms," Mathematics, MDPI, vol. 11(24), pages 1-20, December.
    9. Tu, Jun & Zhou, Guofu, 2011. "Markowitz meets Talmud: A combination of sophisticated and naive diversification strategies," Journal of Financial Economics, Elsevier, vol. 99(1), pages 204-215, January.
    10. Gian Paolo Clemente & Rosanna Grassi & Asmerilda Hitaj, 2022. "Smart network based portfolios," Annals of Operations Research, Springer, vol. 316(2), pages 1519-1541, September.
    11. Wei Liu & Li Yang & Bo Yu, 2022. "Kernel density estimation based distributionally robust mean-CVaR portfolio optimization," Journal of Global Optimization, Springer, vol. 84(4), pages 1053-1077, December.
    12. Kaiqiang An & Guiyu Zhao & Jinjun Li & Jingsong Tian & Lihua Wang & Liang Xian & Chen Chen, 2023. "Best-Case Scenario Robust Portfolio: Evidence from China Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(2), pages 297-322, June.
    13. Ameet Kumar Banerjee & H. K. Pradhan & Ahmet Sensoy & Frank Fabozzi & Biplab Mahapatra, 2024. "Robust portfolio optimization with fuzzy TODIM, genetic algorithm and multi-criteria constraints," Annals of Operations Research, Springer, vol. 337(1), pages 1-22, June.
    14. Ran Ji & Miguel A. Lejeune & Srinivas Y. Prasad, 2017. "Properties, formulations, and algorithms for portfolio optimization using Mean-Gini criteria," Annals of Operations Research, Springer, vol. 248(1), pages 305-343, January.
    15. Maillet, Bertrand & Tokpavi, Sessi & Vaucher, Benoit, 2015. "Global minimum variance portfolio optimisation under some model risk: A robust regression-based approach," European Journal of Operational Research, Elsevier, vol. 244(1), pages 289-299.
    16. Jingnan Chen & Gengling Dai & Ning Zhang, 2020. "An application of sparse-group lasso regularization to equity portfolio optimization and sector selection," Annals of Operations Research, Springer, vol. 284(1), pages 243-262, January.
    17. Fieberg, Christian & Osorio, Carlos & Poddig, Thorsten & Varmaz, Armin, 2026. "Enhancing index-tracking performance: Leveraging characteristic-based factor models for reduced estimation errors," European Journal of Operational Research, Elsevier, vol. 331(1), pages 278-291.
    18. Juan F. Monge & Mercedes Landete & Jos'e L. Ruiz, 2016. "Sharpe portfolio using a cross-efficiency evaluation," Papers 1610.00937, arXiv.org, revised Oct 2016.
    19. Dilip B. Madan, 2016. "Conic Portfolio Theory," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-42, May.
    20. Taras Bodnar & Yarema Okhrin & Valdemar Vitlinskyy & Taras Zabolotskyy, 2018. "Determination and estimation of risk aversion coefficients," Computational Management Science, Springer, vol. 15(2), pages 297-317, June.
    21. Mohammad Reza Ghatreh Samani & Seyyed-Mahdi Hosseini-Motlagh, 2019. "An enhanced procedure for managing blood supply chain under disruptions and uncertainties," Annals of Operations Research, Springer, vol. 283(1), pages 1413-1462, December.
    22. Sangwon Suh, 2016. "A Combination Rule for Portfolio Selection with Transaction Costs," International Review of Finance, International Review of Finance Ltd., vol. 16(3), pages 393-420, September.
    23. Lassance, Nathan & Vrins, Frédéric, 2019. "Robust portfolio selection using sparse estimation of comoment tensors," LIDAM Discussion Papers LFIN 2019007, Université catholique de Louvain, Louvain Finance (LFIN).
    24. Balter, Anne G. & Mahayni, Antje & Schweizer, Nikolaus, 2021. "Time-consistency of optimal investment under smooth ambiguity," European Journal of Operational Research, Elsevier, vol. 293(2), pages 643-657.
    25. Pavel Bazovkin & Karl Mosler, 2015. "A general solution for robust linear programs with distortion risk constraints," Annals of Operations Research, Springer, vol. 229(1), pages 103-120, June.
    26. A. Georgantas, 2020. "Robust Optimization Approaches for Portfolio Selection: A Computational and Comparative Analysis," Papers 2010.13397, arXiv.org.
    27. Francisco Peñaranda & Enrique Sentana, 2024. "Portfolio management with big data," Working Papers wp2024_2411, CEMFI.
    28. Kim, Woo Chang & Kim, Jang Ho & Mulvey, John M. & Fabozzi, Frank J., 2015. "Focusing on the worst state for robust investing," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 19-31.
    29. Wei Liu & Li Yang & Bo Yu, 2021. "KDE distributionally robust portfolio optimization with higher moment coherent risk," Annals of Operations Research, Springer, vol. 307(1), pages 363-397, December.
    30. Ken Kobayashi & Yuichi Takano & Kazuhide Nakata, 2021. "Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization," Journal of Global Optimization, Springer, vol. 81(2), pages 493-528, October.
    31. William Lefebvre & Gregoire Loeper & Huy^en Pham, 2020. "Mean-variance portfolio selection with tracking error penalization," Papers 2009.08214, arXiv.org, revised Sep 2020.
    32. Tsang, Man Yiu & Sit, Tony & Wong, Hoi Ying, 2025. "Adaptive robust online portfolio selection," European Journal of Operational Research, Elsevier, vol. 321(1), pages 214-230.
    33. I-Chen Lu & Kai-Hong Tee & Baibing Li, 2019. "Asset allocation with multiple analysts’ views: a robust approach," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 215-228, May.
    34. Willliam Lefebvre & Gregoire Loeper & Huyên Pham, 2020. "Mean-variance portfolio selection with tracking error penalization," Working Papers hal-02941289, HAL.
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    811. Lu, Botao & Ma, Feng & Wang, Jiqian & Ding, Hui & Wahab, M.I.M., 2021. "Harnessing the decomposed realized measures for volatility forecasting: Evidence from the US stock market," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 672-689.
    812. Anwen Yin, 2021. "Forecasting the Market Equity Premium: Does Nonlinearity Matter?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(5), pages 1-9, May.
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    815. Gao, Jun & Gao, Xiang & Gu, Chen, 2023. "Forecasting European stock volatility: The role of the UK," International Review of Financial Analysis, Elsevier, vol. 89(C).
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    827. Turtle, H.J. & Wang, Kainan, 2016. "The benefits of improved covariance estimation," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 233-246.

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    Cited by:

    1. Liao Zhu & Sumanta Basu & Robert A. Jarrow & Martin T. Wells, 2018. "High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model," Papers 1804.08472, arXiv.org, revised Dec 2021.
    2. Hansen, Erwin, 2022. "Economic evaluation of asset pricing models under predictability," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 50-66.
    3. Robert Jarrow, 2018. "Asset market equilibrium with liquidity risk," Annals of Finance, Springer, vol. 14(2), pages 253-288, May.
    4. Boudt, Kris & Thewissen, James & Torsin, Wouter, 2018. "When does the tone of earnings press releases matter?," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 231-245.
    5. Johan Knif & James W. Kolari & Gregory Koutmos & Seppo Pynnönen, 2019. "Measuring the relative return contribution of risk factors," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 263-272, July.
    6. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    7. Adam Zaremba, 2019. "The Cross Section of Country Equity Returns: A Review of Empirical Literature," JRFM, MDPI, vol. 12(4), pages 1-26, October.
    8. Robert Jarrow, 2016. "Bubbles And Multiple-Factor Asset Pricing Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-19, February.
    9. Liao Zhu & Robert A. Jarrow & Martin T. Wells, 2020. "Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model," Papers 2011.04171, arXiv.org, revised Apr 2021.
    10. PAOLA BRIGHI & STEFANO d'ADDONA & ANTONIO CARLO FRANCESCO DELLA BINA, 2013. "The Determinants of Risk Premia on the Italian Stock Market: Empirical Evidence on Common Factors in Asset Pricing Models," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(2), pages 103-133, July.
    11. Liao Zhu, 2021. "The Adaptive Multi-Factor Model and the Financial Market," Papers 2107.14410, arXiv.org, revised Aug 2021.
    12. Skočir, Matevž & Lončarski, Igor, 2018. "Multi-factor asset pricing models: Factor construction choices and the revisit of pricing factors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 65-80.
    13. Baek, Seungho & Bilson, John F.O., 2015. "Size and value risk in financial firms," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 295-326.
    14. Hollstein, Fabian & Prokopczuk, Marcel, 2022. "Testing Factor Models in the Cross-Section," Journal of Banking & Finance, Elsevier, vol. 145(C).
    15. Robert Jarrow, 2018. "An Equilibrium Capital Asset Pricing Model in Markets with Price Jumps and Price Bubbles," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-33, June.
    16. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    17. Christian Fieberg & Armin Varmaz & Thorsten Poddig, 2016. "Covariances vs. characteristics: what does explain the cross section of the German stock market returns?," Business Research, Springer;German Academic Association for Business Research, vol. 9(1), pages 27-50, April.
    18. Robert Jarrow, 2017. "A Capm With Trading Constraints And Price Bubbles," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-39, December.

  20. Tu, Jun & Zhou, Guofu, 2010. "Incorporating Economic Objectives into Bayesian Priors: Portfolio Choice under Parameter Uncertainty," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(4), pages 959-986, August.

    Cited by:

    1. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    2. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty: Adaptive Mixing of High- and Low-Frequency Information," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168222, Verein für Socialpolitik / German Economic Association.
    3. Bodnar, Olha & Bodnar, Taras & Niklasson, Vilhelm, 2024. "Constructing Bayesian tangency portfolios under short-selling restrictions," Finance Research Letters, Elsevier, vol. 62(PA).
    4. Ghaemi Asl, Mahdi & Rashidi, Muhammad Mahdi & Tavakkoli, Hamid Raza & Rezgui, Hichem, 2024. "Does Islamic investing modify portfolio performance? Time-varying optimization strategies for conventional and Shariah energy-ESG-utilities portfolio," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 37-57.
    5. Kim, Dongwhan & Kang, Kyu Ho, 2021. "Conditional value-at-risk forecasts of an optimal foreign currency portfolio," International Journal of Forecasting, Elsevier, vol. 37(2), pages 838-861.
    6. Massimo Guidolin & Hening Liu, 2013. "Ambiguity Aversion and Under-diversification," Working Papers 483, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    7. Scott Cederburg & Travis L Johnson & Michael S O’Doherty, 2023. "On the Economic Significance of Stock Return Predictability," Review of Finance, European Finance Association, vol. 27(2), pages 619-657.
    8. Sangwon Suh, 2016. "A Combination Rule for Portfolio Selection with Transaction Costs," International Review of Finance, International Review of Finance Ltd., vol. 16(3), pages 393-420, September.
    9. Taras Bodnar & Vilhelm Niklasson & Erik Thors'en, 2022. "Volatility Sensitive Bayesian Estimation of Portfolio VaR and CVaR," Papers 2205.01444, arXiv.org.
    10. Nikolaus Hautsch & Stefan Voigt, 2017. "Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty," Papers 1709.06296, arXiv.org, revised Jun 2018.
    11. Taras Bodnar & Mathias Lindholm & Vilhelm Niklasson & Erik Thors'en, 2020. "Bayesian Quantile-Based Portfolio Selection," Papers 2012.01819, arXiv.org.
    12. Marcos Escobar-Anel & Max Speck & Rudi Zagst, 2024. "Bayesian Learning in an Affine GARCH Model with Application to Portfolio Optimization," Mathematics, MDPI, vol. 12(11), pages 1-27, May.
    13. Qiao, W. & Bu, D. & Gibberd, A. & Liao, Y. & Wen, T. & Li, E., 2023. "When “time varying” volatility meets “transaction cost” in portfolio selection," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 220-237.
    14. Carolina Fugazza & Massimo Guidolin & Giovanna Nicodano, 2015. "Equally Weighted vs. Long†Run Optimal Portfolios," European Financial Management, European Financial Management Association, vol. 21(4), pages 742-789, September.
    15. Gillen, Benjamin J., 2014. "An empirical Bayesian approach to stein-optimal covariance matrix estimation," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 402-420.
    16. Thomas J. Brennan & Andrew W. Lo, 2008. "Impossible Frontiers," NBER Working Papers 14525, National Bureau of Economic Research, Inc.
    17. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," NBER Working Papers 14646, National Bureau of Economic Research, Inc.
    18. Evan Anderson & Ai-ru (Meg) Cheng, 2022. "Portfolio Choices with Many Big Models," Management Science, INFORMS, vol. 68(1), pages 690-715, January.
    19. Lombardi, Marco J. & Ravazzolo, Francesco, 2016. "On the correlation between commodity and equity returns: Implications for portfolio allocation," Journal of Commodity Markets, Elsevier, vol. 2(1), pages 45-57.
    20. Fuertes, Ana-Maria & Zhao, Nan, 2023. "A Bayesian perspective on commodity style integration," Journal of Commodity Markets, Elsevier, vol. 30(C).
    21. Bodnar, Taras & Mazur, Stepan & Nguyen, Hoang, 2022. "Estimation of optimal portfolio compositions for small sampleand singular covariance matrix," Working Papers 2022:15, Örebro University, School of Business.
    22. Yuanyuan Zhang & Xiang Li & Sini Guo, 2018. "Portfolio selection problems with Markowitz’s mean–variance framework: a review of literature," Fuzzy Optimization and Decision Making, Springer, vol. 17(2), pages 125-158, June.
    23. Dragon Yongjun Tang, 2014. "Potential losses from incorporating return predictability into portfolio allocation," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 35-45, February.
    24. Bryan Kelly & Dacheng Xiu, 2023. "Financial Machine Learning," Foundations and Trends(R) in Finance, now publishers, vol. 13(3-4), pages 205-363, November.
    25. David Bauder & Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2018. "Bayesian mean-variance analysis: Optimal portfolio selection under parameter uncertainty," Papers 1803.03573, arXiv.org.
    26. Andrew W. Lo & Ruixun Zhang, 2025. "Performance Attribution for Portfolio Constraints," Management Science, INFORMS, vol. 71(9), pages 7537-7559, September.
    27. Johannes Bock, 2018. "An updated review of (sub-)optimal diversification models," Papers 1811.08255, arXiv.org.
    28. Thomas Y. L. Lin & Jerry Yao-Chieh Hu & Paul W. Chiou & Peter Lin, 2025. "Latent Variable Estimation in Bayesian Black-Litterman Models," Papers 2505.02185, arXiv.org.
    29. Fabozzi, Frank J. & Huang, Dashan & Jiang, Fuwei & Wang, Jiexun, 2024. "What difference do new factor models make in portfolio allocation?," Journal of International Money and Finance, Elsevier, vol. 140(C).
    30. Yong Li & Tao Zeng & Jun Yu, 2012. "Robust Deviance Information Criterion for Latent Variable Models," Working Papers 30-2012, Singapore Management University, School of Economics.
    31. Bodnar, Taras & Mazur, Stepan & Okhrin, Yarema, 2017. "Bayesian estimation of the global minimum variance portfolio," European Journal of Operational Research, Elsevier, vol. 256(1), pages 292-307.
    32. 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.

  21. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.

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    1. Chen, Kuan-Hau & Su, Xuan-Qi & Lin, Li-Feng & Shih, Yi-Cheng, 2021. "Profitability of moving-average technical analysis over the firm life cycle: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    2. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Eun-chong Kim & Han-wook Jeong & Nak-young Lee, 2019. "Global Asset Allocation Strategy Using a Hidden Markov Model," JRFM, MDPI, vol. 12(4), pages 1-15, November.
    4. Shi Yafeng & Tao Xiangxing & Shi Yanlong & Zhu Nenghui & Ying Tingting & Peng Xun, 2020. "Can Technical Indicators Provide Information for Future Volatility: International Evidence," Journal of Systems Science and Information, De Gruyter, vol. 8(1), pages 53-66, February.
    5. Doron Avramov & Guy Kaplanski & Avanidhar Subrahmanyam, 2022. "Postfundamentals Price Drift in Capital Markets: A Regression Regularization Perspective," Management Science, INFORMS, vol. 68(10), pages 7658-7681, October.
    6. Shi Yafeng & Yanlong Shi & Ying Tingting, 2024. "Can technical indicators based on underlying assets help to predict implied volatility index," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 57-74, January.
    7. Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
    8. Hyungjun Park & Min Kyu Sim & Dong Gu Choi, 2019. "An intelligent financial portfolio trading strategy using deep Q-learning," Papers 1907.03665, arXiv.org, revised Nov 2019.
    9. K. J. Hong & S. Satchell, 2013. "Time Series Momentum Trading Strategy and Autocorrelation Amplification," Cambridge Working Papers in Economics 1322, Faculty of Economics, University of Cambridge.
    10. Matheus José Silva de Souza & Danilo Guimarães Franco Ramos & Marina Garcia Pena & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Examination of the profitability of technical analysis based on moving average strategies in BRICS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-18, December.
    11. Hung, Chiayu & Lai, Hung-Neng, 2022. "Information asymmetry and the profitability of technical analysis," Journal of Banking & Finance, Elsevier, vol. 134(C).
    12. Yehong Liu & Guosheng Yin, 2018. "Average Holding Price," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-20, March.
    13. Massoud Metghalchi & Linda A. Hayes & Farhang Niroomand, 2019. "A technical approach to equity investing in emerging markets," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 389-403, July.
    14. Yao-Tsung Wu & Chien-Hung Liu & Kuo-Hao Lin & Dun-Yao Ke, 2024. "Does media coverage matter for the performance of technical trading strategies? Evidence from Taiwan," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 147-166, January.
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    22. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
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    32. Papailias, Fotis & Thomakos, Dimitrios D., 2015. "An improved moving average technical trading rule," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 458-469.
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    245. Raymond Kan & Daniel R. Smith, 2008. "The Distribution of the Sample Minimum-Variance Frontier," Management Science, INFORMS, vol. 54(7), pages 1364-1380, July.
    246. Bäuerle, Nicole & Mahayni, Antje, 2024. "Optimal investment in ambiguous financial markets with learning," European Journal of Operational Research, Elsevier, vol. 315(1), pages 393-410.
    247. Du, Yilin & He, Wenfeng & Mei, Xiaoling, 2025. "Portfolio optimization with estimation errors—A robust linear regression approach," Journal of Empirical Finance, Elsevier, vol. 82(C).
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    249. Dilip Patro & Louis R. Piccotti & Yangru Wu, 2017. "Exploiting Closed-End Fund Discounts: A Systematic Examination Of Alphas," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 40(2), pages 223-248, June.
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    251. Varga-Haszonits, Istvan & Caccioli, Fabio & Kondor, Imre, 2016. "Replica approach to mean-variance portfolio optimization," LSE Research Online Documents on Economics 68955, London School of Economics and Political Science, LSE Library.
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    253. Zhou, Zhongbao & Xiao, Helu & Jin, Qianying & Liu, Wenbin, 2018. "DEA frontier improvement and portfolio rebalancing: An application of China mutual funds on considering sustainability information disclosure," European Journal of Operational Research, Elsevier, vol. 269(1), pages 111-131.
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    255. Kazak, Ekaterina & Pohlmeier, Winfried, 2019. "Testing out-of-sample portfolio performance," International Journal of Forecasting, Elsevier, vol. 35(2), pages 540-554.
    256. James J. Choi & Adriana Z. Robertson, 2020. "What Matters to Individual Investors? Evidence from the Horse's Mouth," Journal of Finance, American Finance Association, vol. 75(4), pages 1965-2020, August.
    257. Roberto Savona & Cesare Orsini, 2019. "Taking the right course navigating the ERC universe," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 157-174, May.
    258. Goldstein, Daniel G. & Gigerenzer, Gerd, 2009. "Fast and frugal forecasting," International Journal of Forecasting, Elsevier, vol. 25(4), pages 760-772, October.
    259. Irina Murtazashvili & Nadia Vozlyublennaia, 2013. "Diversification Strategies: Do Limited Data Constrain Investors?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(2), pages 215-232, June.
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    261. Lassance, Nathan, 2021. "Maximizing the Out-of-Sample Sharpe Ratio," LIDAM Discussion Papers LFIN 2021013, Université catholique de Louvain, Louvain Finance (LFIN).
    262. Rongwei Liu & Jin Zheng & John Cartlidge, 2025. "Deep Reinforcement Learning for Optimal Asset Allocation Using DDPG with TiDE," Papers 2508.20103, arXiv.org.
    263. Turtle, H.J. & Wang, Kainan, 2016. "The benefits of improved covariance estimation," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 233-246.

  23. Shanken, Jay & Zhou, Guofu, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," Journal of Financial Economics, Elsevier, vol. 84(1), pages 40-86, April.
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  24. Pin-Huang Chou & Guofu Zhou, 2006. "Using Bootstrap to Test Portfolio Efficiency," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 217-249, November.

    Cited by:

    1. Geoffroy Enjolras & Robert Kast & Patrick Sentis, 2009. "Diversification in Area-Yield Crop Insurance : The Multi Linear Additive Model," Working Papers 09-15, LAMETA, Universtiy of Montpellier, revised Nov 2009.
    2. Groenewold, Nicolaas & Fraser, Patricia, 2001. "Tests of asset-pricing models: how important is the iid-normal assumption?," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 427-449, September.
    3. Sermin Gungor & Richard Luger, 2014. "Bootstrap Tests of Mean-Variance Efficiency with Multiple Portfolio Groupings," Staff Working Papers 14-51, Bank of Canada.
    4. Robert Kast, 2011. "Managing financial risks due to natural catastrophes," Working Papers hal-00610241, HAL.
    5. Gurgul, Henryk & Lach, Łukasz & Mestel, Roland, 2012. "The relationship between budgetary expenditure and economic growth in Poland," MPRA Paper 52304, University Library of Munich, Germany.
    6. Gurgul, Henryk & Lach, Łukasz, 2011. "Causality analysis between public expenditure and economic growth of Polish economy in last decade," MPRA Paper 52281, University Library of Munich, Germany.
    7. Majumder, Debasish, 2014. "Asset pricing for inefficient markets: Evidence from China and India," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 282-291.
    8. Manuel Galea & David Cademartori & Roberto Curci & Alonso Molina, 2020. "Robust Inference in the Capital Asset Pricing Model Using the Multivariate t -distribution," JRFM, MDPI, vol. 13(6), pages 1-22, June.
    9. Gurgul, Henryk & Lach, Łukasz, 2010. "International trade and economic growth in the Polish economy," MPRA Paper 52286, University Library of Munich, Germany.
    10. Gurgul, Henryk & Lach, Łukasz, 2011. "The role of coal consumption in the economic growth of the Polish economy in transition," MPRA Paper 52235, University Library of Munich, Germany, revised 2011.
    11. José Manuel Cueto & Aurea Grané & Ignacio Cascos, 2021. "How to Explain the Cross-Section of Equity Returns through Common Principal Components," Mathematics, MDPI, vol. 9(9), pages 1-22, April.
    12. Yu, Lu & Li, Yanglin, 2023. "Testing factor models when asset bubbles occur: A time-varying perspective," Economic Modelling, Elsevier, vol. 124(C).
    13. Lach, Łukasz, 2010. "Application of bootstrap methods in investigation of size of the Granger causality test for integrated VAR systems," MPRA Paper 52285, University Library of Munich, Germany.
    14. Cueto, José Manuel & Grané Chávez, Aurea & Cascos Fernández, Ignacio, 2021. "How to explain the cross-section of equity returns through Common Principal Components," DES - Working Papers. Statistics and Econometrics. WS 32258, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Fletcher, Jonathan, 2018. "Betas V characteristics: Do stock characteristics enhance the investment opportunity set in U.K. stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 114-129.

  25. Raymond Kan & Guofu Zhou, 2006. "A New Variance Bound on the Stochastic Discount Factor," The Journal of Business, University of Chicago Press, vol. 79(2), pages 941-962, March.

    Cited by:

    1. Raymond Kan & Cesare Robotti, 2016. "The Exact Distribution of the Hansen–Jagannathan Bound," Management Science, INFORMS, vol. 62(7), pages 1915-1943, July.
    2. Bakshi, Gurdip & Chabi-Yo, Fousseni, 2012. "Variance bounds on the permanent and transitory components of stochastic discount factors," Journal of Financial Economics, Elsevier, vol. 105(1), pages 191-208.
    3. Fousseni Chabi-Yo & René Garcia & Eric Renault, 2005. "The Stochastic Discount Factor: Extending the Volatility Bound and a New Approach to Portfolio Selection with Higher-Order Moments," Staff Working Papers 05-2, Bank of Canada.
    4. Glode, Vincent, 2011. "Why mutual funds "underperform"," Journal of Financial Economics, Elsevier, vol. 99(3), pages 546-559, March.
    5. Bakshi, Gurdip & Chabi-Yo, Fousseni, 2011. "Variance Bounds on the Permanent and Transitory Components of Stochastic Discount Factors," Working Paper Series 2011-11, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    6. Chrétien, Stéphane, 2012. "Bounds on the autocorrelation of admissible stochastic discount factors," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1943-1962.
    7. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.

  26. Chou, Pin-Huang & Li, Wen-Shen & Zhou, Guofu, 2006. "Portfolio optimization under asset pricing anomalies," Japan and the World Economy, Elsevier, vol. 18(2), pages 121-142, March.

    Cited by:

    1. Fannin, J. Matthew & Hughes, David W. & Keithly, Walter R. & Olatubi, Williams O. & Guo, Jiemin, 2008. "Deepwater energy industry impacts on economic growth and public service provision in Lafourche Parish, Louisiana," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 190-205, September.
    2. Branger, Nicole & Lučivjanská, Katarína & Weissensteiner, Alex, 2019. "Optimal granularity for portfolio choice," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 125-146.

  27. Yongmiao Hong & Jun Tu & Guofu Zhou, 2006. "Asymmetries in Stock Returns: Statistical Tests and Economic Evaluation," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1547-1581, 2007 23.

    Cited by:

    1. Cerrato, Mario & Crosby, John & Kim, Minjoo & Zhao, Yang, 2014. "Modeling Dependence Structure and Forecasting Portfolio Value-at-Risk with Dynamic Copulas," SIRE Discussion Papers 2015-25, Scottish Institute for Research in Economics (SIRE).
    2. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
    3. Ying Li & Hossein Kazemi, 2007. "Conditional Properties of Hedge Funds: Evidence from Daily Returns," European Financial Management, European Financial Management Association, vol. 13(2), pages 211-238, March.
    4. Zhichao Zhang & Li Ding & Fan Zhang & Zhuang Zhang, 2015. "Optimal Currency Composition for China's Foreign Reserves: A Copula Approach," The World Economy, Wiley Blackwell, vol. 38(12), pages 1947-1965, December.
    5. Hsu, Chih-Chiang & Yau, Ruey & Wu, Jyun-Yi, 2009. "Asymmetric Exchange Rate Exposure and Industry Characteristics : Evidence from Japanese Data," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 50(1), pages 57-69, June.
    6. Numan Ülkü, 2011. "Modeling Comovement among Emerging Stock Markets: The Case of Budapest and Istanbul," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(3), pages 277-304, July.
    7. Plachel, Lukas, 2019. "A unified model for regularized and robust portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    8. Timothy Falcon Crack & Olivier Ledoit, 2010. "Central limit theorems when data are dependent: addressing the pedagogical gaps," IEW - Working Papers 480, Institute for Empirical Research in Economics - University of Zurich.
    9. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2020. "Spillovers and co-movements between precious metals and energy markets: Implications on portfolio management," Resources Policy, Elsevier, vol. 69(C).
    10. L. Baele & K. Inghelbrecht, 2006. "Structural versus Temporary Drivers of Country and Industry Risk," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/413, Ghent University, Faculty of Economics and Business Administration.
    11. Juwon Seo, 2018. "Randomization Tests for Equality in Dependence Structure," Papers 1811.02105, arXiv.org.
    12. Kim, S.Thomas & Sun, Li, 2026. "Man, machine, and market: A natural language processing of energy hedging information," Finance Research Letters, Elsevier, vol. 89(C).
    13. Lorenzo Frattarolo, 2024. "Copula Central Asymmetry of Equity Portfolios," Papers 2501.00634, arXiv.org, revised Jan 2025.
    14. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2022. "Realized semibetas: Disentangling “good” and “bad” downside risks," Journal of Financial Economics, Elsevier, vol. 144(1), pages 227-246.
    15. Nguyen, Duc Khuong & Sousa, Ricardo M. & Uddin, Gazi Salah, 2015. "Testing for asymmetric causality between U.S. equity returns and commodity futures returns," Finance Research Letters, Elsevier, vol. 12(C), pages 38-47.
    16. Philippe Charlot & Vêlayoudom Marimoutou, 2014. "On the relationship between the prices of oil and the precious metals: Revisiting with a multivariate regime-switching decision tree," Working Papers hal-00980125, HAL.
    17. Cerrato, Mario & Crosby, John & Kim, Minjoo & Zhao, Yang, 2015. "US Monetary and Fiscal Policies - Conflict or Cooperation?," SIRE Discussion Papers 2015-78, Scottish Institute for Research in Economics (SIRE).
    18. Guidolin, Massimo & Hansen, Erwin & Pedio, Manuela, 2019. "Cross-asset contagion in the financial crisis: A Bayesian time-varying parameter approach," Journal of Financial Markets, Elsevier, vol. 45(C), pages 83-114.
    19. Nguyen, Quynh Nga & Aboura, Sofiane & Chevallier, Julien & Zhang, Lyuyuan & Zhu, Bangzhu, 2020. "Local Gaussian correlations in financial and commodity markets," European Journal of Operational Research, Elsevier, vol. 285(1), pages 306-323.
    20. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    21. Peter Christoffersen & Kris Jacobs & Xisong Jin & Hugues Langlois, 2013. "Dynamic Diversification in Corporate Credit," CREATES Research Papers 2013-46, Department of Economics and Business Economics, Aarhus University.
    22. Massimo Guidolin & Giovanna Nicodano, 2010. "Ex Post Portfolio Performance with Predictable Skewness and Kurtosis," Carlo Alberto Notebooks 191, Collegio Carlo Alberto.
    23. Immanuel Seidl, 2012. "Markowitz versus Regime Switching: An Empirical Approach," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 4(1), pages 033-043, June.
    24. Gerth, Florian & Temnov, Grigory, 2021. "New Ways of Modeling Loan-to-Income Distributions and their Evolution in Time - A Probability Copula Approach," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 217-236.
    25. Fernando D. Chague, 2013. "Conditional Betas and Investor Uncertainty," Working Papers, Department of Economics 2013_04, University of São Paulo (FEA-USP).
    26. Westner, Günther & Madlener, Reinhard, 2012. "Investment in new power generation under uncertainty: Benefits of CHP vs. condensing plants in a copula-based analysis," Energy Economics, Elsevier, vol. 34(1), pages 31-44.
    27. Marc Joëts, 2012. "Energy price transmissions during extreme movements," EconomiX Working Papers 2012-38, University of Paris Nanterre, EconomiX.
    28. Dahlquist, Magnus & Tédongap, Roméo & Farago, Adam, 2015. "Asymmetries and Portfolio Choice," CEPR Discussion Papers 10706, Centre for Economic Policy Research.

  28. Tu, Jun & Zhou, Guofu, 2004. "Data-generating process uncertainty: What difference does it make in portfolio decisions?," Journal of Financial Economics, Elsevier, vol. 72(2), pages 385-421, May.

    Cited by:

    1. Taras Bodnar & Holger Dette & Nestor Parolya & Erik Thors'en, 2019. "Sampling Distributions of Optimal Portfolio Weights and Characteristics in Low and Large Dimensions," Papers 1908.04243, arXiv.org, revised Apr 2023.
    2. Andrew F. Siegel & Artemiza Woodgate, 2007. "Performance of Portfolios Optimized with Estimation Error," Management Science, INFORMS, vol. 53(6), pages 1005-1015, June.
    3. Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2012. "On the Equivalence of Quadratic Optimization Problems Commonly Used in Portfolio Theory," Papers 1207.1029, arXiv.org, revised Apr 2013.
    4. Nathan Lassance & Alberto Martín-Utrera & Majeed Simaan, 2024. "The Risk of Expected Utility Under Parameter Uncertainty," Management Science, INFORMS, vol. 70(11), pages 7644-7663, November.
    5. Tu, Jun & Zhou, Guofu, 2011. "Markowitz meets Talmud: A combination of sophisticated and naive diversification strategies," Journal of Financial Economics, Elsevier, vol. 99(1), pages 204-215, January.
    6. Taras Bodnar, 2009. "An exact test on structural changes in the weights of the global minimum variance portfolio," Quantitative Finance, Taylor & Francis Journals, vol. 9(3), pages 363-370.
    7. Weidong Tian & Murray Carlson & David A. Chapman & Ron Kaniel & Hong Yan, 2017. "Specification Error, Estimation Risk, and Conditional Portfolio Rules," International Review of Finance, International Review of Finance Ltd., vol. 17(2), pages 263-288, June.
    8. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
    9. Bodnar, Taras & Reiß, Markus, 2016. "Exact and asymptotic tests on a factor model in low and large dimensions with applications," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 125-151.
    10. Sangwon Suh, 2016. "A Combination Rule for Portfolio Selection with Transaction Costs," International Review of Finance, International Review of Finance Ltd., vol. 16(3), pages 393-420, September.
    11. Frank Fabozzi & Dashan Huang & Guofu Zhou, 2010. "Robust portfolios: contributions from operations research and finance," Annals of Operations Research, Springer, vol. 176(1), pages 191-220, April.
    12. David Stefanovits & Urs Schubiger & Mario V. Wüthrich, 2014. "Model Risk in Portfolio Optimization," Risks, MDPI, vol. 2(3), pages 1-34, August.
    13. Avramov, Doron & Chordia, Tarun, 2006. "Predicting stock returns," Journal of Financial Economics, Elsevier, vol. 82(2), pages 387-415, November.
    14. Bodnar Taras & Schmid Wolfgang, 2011. "On the exact distribution of the estimated expected utility portfolio weights: Theory and applications," Statistics & Risk Modeling, De Gruyter, vol. 28(4), pages 319-342, December.
    15. Yu Liu & Hao Wang & Tan Wang & Lihong Zhang, 2025. "Volatility Ambiguity, Portfolio Decisions, and Equilibrium Asset Pricing," Management Science, INFORMS, vol. 71(6), pages 5185-5203, June.
    16. Bodnar Taras & Schmid Wolfgang, 2009. "Estimation of optimal portfolio compositions for Gaussian returns," Statistics & Risk Modeling, De Gruyter, vol. 26(3), pages 179-201, April.
    17. Tu, Jun & Zhou, Guofu, 2010. "Incorporating Economic Objectives into Bayesian Priors: Portfolio Choice under Parameter Uncertainty," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(4), pages 959-986, August.
    18. Golosnoy, Vasyl & Okhrin, Yarema, 2008. "General uncertainty in portfolio selection: A case-based decision approach," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 718-734, September.
    19. Jun Tu, 2010. "Is Regime Switching in Stock Returns Important in Portfolio Decisions?," Management Science, INFORMS, vol. 56(7), pages 1198-1215, July.
    20. Thomas J. Brennan & Andrew W. Lo, 2008. "Impossible Frontiers," NBER Working Papers 14525, National Bureau of Economic Research, Inc.
    21. Meade, N. & Beasley, J.E. & Adcock, C.J., 2021. "Quantitative portfolio selection: Using density forecasting to find consistent portfolios," European Journal of Operational Research, Elsevier, vol. 288(3), pages 1053-1067.
    22. Zhou, Guofu, 2010. "How much stock return predictability can we expect from an asset pricing model?," Economics Letters, Elsevier, vol. 108(2), pages 184-186, August.
    23. Karlsson, Sune & Mazur, Stepan & Muhinyuza, Stanislas, 2020. "Statistical Inference for the Tangency Portfolio in High Dimension," Working Papers 2020:10, Örebro University, School of Business.
    24. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," NBER Working Papers 14646, National Bureau of Economic Research, Inc.
    25. Evan Anderson & Ai-ru (Meg) Cheng, 2022. "Portfolio Choices with Many Big Models," Management Science, INFORMS, vol. 68(1), pages 690-715, January.
    26. Meichi Huang & Chih-Chiang Wu, 2015. "Economic benefits and determinants of extreme dependences between REIT and stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 299-327, February.
    27. Kourtis, Apostolos & Dotsis, George & Markellos, Raphael N., 2012. "Parameter uncertainty in portfolio selection: Shrinking the inverse covariance matrix," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2522-2531.
    28. Doron Avramov & Guofu Zhou, 2010. "Bayesian Portfolio Analysis," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 25-47, December.
    29. Xiaoqiang Cai & Gen Yu, 2025. "Bayesian learning in dynamic portfolio selection under a minimax rule," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(1), pages 287-324, March.
    30. Penaranda, Francisco, 2007. "Portfolio choice beyond the traditional approach," LSE Research Online Documents on Economics 24481, London School of Economics and Political Science, LSE Library.
    31. Dragon Yongjun Tang, 2014. "Potential losses from incorporating return predictability into portfolio allocation," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 35-45, February.
    32. Ghysels, Eric & Pereira, João Pedro, 2008. "Liquidity and conditional portfolio choice: A nonparametric investigation," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 679-699, September.
    33. Bodnar, Taras & Mazur, Stepan & Podgórski, Krzysztof, 2016. "Singular inverse Wishart distribution and its application to portfolio theory," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 314-326.
    34. Platanakis, Emmanouil & Sakkas, Athanasios & Sutcliffe, Charles, 2019. "Harmful diversification: Evidence from alternative investments," The British Accounting Review, Elsevier, vol. 51(1), pages 1-23.
    35. Fabozzi, Frank J. & Huang, Dashan & Jiang, Fuwei & Wang, Jiexun, 2024. "What difference do new factor models make in portfolio allocation?," Journal of International Money and Finance, Elsevier, vol. 140(C).
    36. Roskelley, Kenneth D., 2008. "Cromwell's Rule and the Role of the Prior in the Economic Metric: An Application to the Portfolio Allocation Problem," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 227-236, April.
    37. David D Cho, 2011. "Estimation risk in covariance," Journal of Asset Management, Palgrave Macmillan, vol. 12(4), pages 248-259, September.
    38. Owadally, Iqbal & Landsman, Zinoviy, 2013. "A characterization of optimal portfolios under the tail mean–variance criterion," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 213-221.
    39. Vogl, Markus & Kojić, Milena & Sharma, Abhishek & Stanisic, Nikola, 2025. "Decoding financial markets: Empirical DGPs as the key to model selection and forecasting excellence – A proof of concept," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 666(C).
    40. Yufeng Han, 2010. "On the Economic Value of Return Predictability," Annals of Economics and Finance, Society for AEF, vol. 11(1), pages 1-33, May.
    41. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 328-383, Elsevier.
    42. Bodnar Taras & Schmid Wolfgang & Zabolotskyy Tara, 2012. "Minimum VaR and minimum CVaR optimal portfolios: Estimators, confidence regions, and tests," Statistics & Risk Modeling, De Gruyter, vol. 29(4), pages 281-314, November.

  29. Campbell R. Harvey & Bruno Solnik & Guofu Zhou, 2002. "What Determines Expected International Asset Returns?," Annals of Economics and Finance, Society for AEF, vol. 3(2), pages 249-298, November.
    See citations under working paper version above.
  30. Steve Heston & Guofu Zhou, 2000. "On the Rate of Convergence of Discrete‐Time Contingent Claims," Mathematical Finance, Wiley Blackwell, vol. 10(1), pages 53-75, January.

    Cited by:

    1. Primbs, James A. & Yamada, Yuji, 2006. "A moment computation algorithm for the error in discrete dynamic hedging," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 519-540, February.
    2. San-Lin Chung & Pai-Ta Shih, 2007. "Generalized Cox-Ross-Rubinstein Binomial Models," Management Science, INFORMS, vol. 53(3), pages 508-520, March.
    3. Windcliff, H. & Vetzal, K. R. & Forsyth, P. A. & Verma, A. & Coleman, T. F., 2003. "An object-oriented framework for valuing shout options on high-performance computer architectures," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 1133-1161, April.
    4. Chuang-Chang Chang & Jun-Biao Lin & Wei-Che Tsai & Yaw-Huei Wang, 2012. "Using Richardson extrapolation techniques to price American options with alternative stochastic processes," Review of Quantitative Finance and Accounting, Springer, vol. 39(3), pages 383-406, October.
    5. Mark Broadie & Jerome B. Detemple, 2004. "ANNIVERSARY ARTICLE: Option Pricing: Valuation Models and Applications," Management Science, INFORMS, vol. 50(9), pages 1145-1177, September.
    6. N. Hilber & N. Reich & C. Schwab & C. Winter, 2009. "Numerical methods for Lévy processes," Finance and Stochastics, Springer, vol. 13(4), pages 471-500, September.
    7. Luca Barzanti & Corrado Corradi & Martina Nardon, 2006. "On the efficient application of the repeated Richardson extrapolation technique to option pricing," Working Papers 147, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    8. Dong An & Noah Linden & Jin-Peng Liu & Ashley Montanaro & Changpeng Shao & Jiasu Wang, 2020. "Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance," Papers 2012.06283, arXiv.org, revised Jun 2021.
    9. Jean-Christophe Breton & Youssef El-Khatib & Jun Fan & Nicolas Privault, 2021. "A q-binomial extension of the CRR asset pricing model," Papers 2104.10163, arXiv.org, revised Feb 2023.
    10. Kozpınar, Sinem & Uzunca, Murat & Karasözen, Bülent, 2020. "Pricing European and American options under Heston model using discontinuous Galerkin finite elements," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 568-587.
    11. Kim, Young Shin & Stoyanov, Stoyan & Rachev, Svetlozar & Fabozzi, Frank J., 2019. "Enhancing binomial and trinomial equity option pricing models," Finance Research Letters, Elsevier, vol. 28(C), pages 185-190.
    12. Chang, Chuang-Chang & Lin, Jun-Biao, 2010. "The valuation of contingent claims using alternative numerical methods," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 490-508, December.
    13. John Armstrong & Andrei Ionescu, 2023. "Gamma Hedging and Rough Paths," Papers 2309.05054, arXiv.org, revised Mar 2024.
    14. Chiu, Chun-Yuan & Dai, Tian-Shyr & Lyuu, Yuh-Dauh, 2015. "Pricing Asian option by the FFT with higher-order error convergence rate under Lévy processes," Applied Mathematics and Computation, Elsevier, vol. 252(C), pages 418-437.
    15. Kyoung-Sook Moon & Hongjoong Kim, 2013. "A multi-dimensional local average lattice method for multi-asset models," Quantitative Finance, Taylor & Francis Journals, vol. 13(6), pages 873-884, May.
    16. Khaliq, A.Q.M. & Voss, D.A. & Yousuf, M., 2007. "Pricing exotic options with L-stable Pade schemes," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3438-3461, November.
    17. Simona Sanfelici, 2004. "Galerkin infinite element approximation for pricing barrier options and options with discontinuous payoff," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 27(2), pages 125-151, December.
    18. Aricson Cruz & José Carlos Dias, 2020. "Valuing American-style options under the CEV model: an integral representation based method," Review of Derivatives Research, Springer, vol. 23(1), pages 63-83, April.
    19. Raahauge, Peter, 2004. "Higher-Order Finite Element Solutions of Option Prices," Working Papers 2004-5, Copenhagen Business School, Department of Finance.
    20. J. X. Jiang & R. H. Liu & D. Nguyen, 2016. "A Recombining Tree Method For Option Pricing With State-Dependent Switching Rates," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-26, March.
    21. Chandra Sekhara Rao, S. & Manisha,, 2018. "Numerical solution of generalized Black–Scholes model," Applied Mathematics and Computation, Elsevier, vol. 321(C), pages 401-421.
    22. H'el`ene Halconruy, 2021. "The insider problem in the trinomial model: a discrete-time jump process approach," Papers 2106.15208, arXiv.org, revised Sep 2023.
    23. Mark Broadie & Yusaku Yamamoto, 2003. "Application of the Fast Gauss Transform to Option Pricing," Management Science, INFORMS, vol. 49(8), pages 1071-1088, August.
    24. Chung, San-Lin & Shih, Pai-Ta, 2009. "Static hedging and pricing American options," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2140-2149, November.
    25. Gongqiu Zhang & Lingfei Li, 2019. "Analysis of Markov Chain Approximation for Option Pricing and Hedging: Grid Design and Convergence Behavior," Operations Research, INFORMS, vol. 67(2), pages 407-427, March.
    26. Lee, Kiseop & Xu, Mingxin, 2007. "Parameter estimation from multinomial trees to jump diffusions with k means clustering," MPRA Paper 3307, University Library of Munich, Germany, revised 26 Apr 2007.
    27. Yangang Chen & Justin W. L. Wan, 2019. "Deep Neural Network Framework Based on Backward Stochastic Differential Equations for Pricing and Hedging American Options in High Dimensions," Papers 1909.11532, arXiv.org.
    28. Lo-Bin Chang & Ken Palmer, 2007. "Smooth convergence in the binomial model," Finance and Stochastics, Springer, vol. 11(1), pages 91-105, January.
    29. Evis Këllezi & Nick Webber, 2004. "Valuing Bermudan options when asset returns are Levy processes," Quantitative Finance, Taylor & Francis Journals, vol. 4(1), pages 87-100.
    30. Katarzyna Toporek, 2012. "Simple is better. Empirical comparison of American option valuation methods," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 29.
    31. Nicola Bruti Liberati & Eckhard Platen, 2004. "On the Efficiency of Simplified Weak Taylor Schemes for Monte Carlo Simulation in Finance," Research Paper Series 114, Quantitative Finance Research Centre, University of Technology, Sydney.
    32. Hörfelt, Per, 2003. "A probabilistic interpretation of the [theta]-method," Statistics & Probability Letters, Elsevier, vol. 62(2), pages 117-122, April.

  31. Zhou, Guofu, 1999. "Security factors as linear combinations of economic variables," Journal of Financial Markets, Elsevier, vol. 2(4), pages 403-432, November.

    Cited by:

    1. Arshad Hasan & M. Tariq Javed, 2009. "An Empirical Investigation of the Causal Relationship among Monetary Variables and Equity Market Returns," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 14(1), pages 115-137, Jan-Jun.
    2. Kei-Ichiro Inaba, 2020. "A global look into stock market comovements," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(3), pages 517-555, August.
    3. Chou, Pin-Huang & Ho, Po-Hsin & Ko, Kuan-Cheng, 2012. "Do industries matter in explaining stock returns and asset-pricing anomalies?," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 355-370.
    4. Kei-Ichiro Inaba, 2018. "Global Stock Return Comovements: Trends and Determinants," Bank of Japan Working Paper Series 18-E-7, Bank of Japan.
    5. M. Shabri Abd. Majid & Ahamed Kameel Mydin Meera & Mohd. Azmi Omar & Hassanuddeen Abdul Aziz, 2009. "Dynamic linkages among ASEAN‐5 emerging stock markets," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 4(2), pages 160-184, April.
    6. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    7. Charles Mossman & Sergiy Rakhmayil, 2011. "Firm size, book-to-market ratio and the macroeconomic environment: theory and test," Applied Economics, Taylor & Francis Journals, vol. 43(19), pages 2417-2431.

  32. Velu, Raja & Zhou, Guofu, 1999. "Testing multi-beta asset pricing models," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 219-241, September.

    Cited by:

    1. Lim, G.C., 2005. "Currency risk in excess equity returns: a multi time-varying beta approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(3), pages 189-207, July.
    2. Marie Briere & Bastien Drut & Valérie Mignon & Kim Oosterlinck & Ariane Szafarz, 2012. "Is the Market Portfolio Efficient? A New Test of Mean-Variance Efficiency when All Assets Are Risky," Working Papers CEB 12-003, ULB -- Universite Libre de Bruxelles.
    3. 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.
    4. Bodnar, Taras & Reiß, Markus, 2016. "Exact and asymptotic tests on a factor model in low and large dimensions with applications," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 125-151.
    5. Marie Brière & Bastien Drut & Valérie Mignon & Kim Oosterlinck & Ariane Szafarz, 2011. "Is the Market Portfolio Efficient? A New Test to Revisit the Roll (1977) versus Levy and Roll (2010) Controversy," Working Papers hal-04140988, HAL.
    6. Zhou, Guofu, 1999. "Security factors as linear combinations of economic variables," Journal of Financial Markets, Elsevier, vol. 2(4), pages 403-432, November.
    7. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2009. "Finite sample multivariate tests of asset pricing models with coskewness," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2008-2021, April.
    8. Horváth, Lajos & Li, Bo & Li, Hemei & Liu, Zhenya, 2020. "Time-varying beta in functional factor models: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    9. Massimo Guidolin & Martin Lozano & Juan Arismendi Zambrano, "undated". "Multifactor Empirical Asset Pricing Under Higher-Order Moment Variations," Economics Department Working Paper Series n304-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    10. Jay Shanken & Guofu Zhou, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," CEMA Working Papers 275, China Economics and Management Academy, Central University of Finance and Economics.
    11. Xiangying Meng & Xianhua Wei & Yinchao Chen, 2019. "Estimation on Risk Factor Loading based on Mixed Vine Copula," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 9(3), pages 1-6.
    12. Marie-Claude BEAULIEU & Jean-Marie DUFOUR & Lynda KHALAF, 2002. "Testing Mean-Variance Efficiency In Capm With Possibly Non-Gaussian Errors : An Exact Simulation-Based Approach," Cahiers de recherche 17-2002, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    13. Baek, Seungho & Bilson, John F.O., 2015. "Size and value risk in financial firms," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 295-326.
    14. Enrique Sentana, 2008. "The Econometrics of Mean-Variance Efficiency Tests: A Survey," Working Papers wp2008_0807, CEMFI.
    15. Jin, Xuejun & Chen, Yifan & Liu, Xiaobin & Zeng, Tao, 2026. "Factors in the cross-section of Chinese corporate bonds: Evidence from reduced-rank analysis," Journal of Empirical Finance, Elsevier, vol. 85(C).

  33. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-587.
    See citations under working paper version above.
  34. Lamoureux, Christopher G & Zhou, Guofu, 1996. "Temporary Components of Stock Returns: What Do the Data Tell Us?," The Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1033-1059.

    Cited by:

    1. Christopher G. Lamoureux & H. Douglas Witte, 2002. "Empirical Analysis of the Yield Curve: The Information in the Data Viewed through the Window of Cox, Ingersoll, and Ross," Journal of Finance, American Finance Association, vol. 57(3), pages 1479-1520, June.
    2. Celso Brunetti & Jeffrey H. Harris & Shawn Mankad, 2018. "Bank Holdings and Systemic Risk," Finance and Economics Discussion Series 2018-063, Board of Governors of the Federal Reserve System (U.S.).
    3. Smith, L. Vanessa & Yamagata, Takashi, 2011. "Firm level return–volatility analysis using dynamic panels," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 847-867.
    4. Montero, Miquel & Perelló, Josep & Masoliver, Jaume, 2002. "Return or stock price differences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 539-560.
    5. L. Vanessa Smith & Takashi Yamagata, 2008. "Firm Level Volatility-Return Analysis using Dynamic Panels," Discussion Papers 08/09, Department of Economics, University of York.
    6. Tu, Jun & Zhou, Guofu, 2010. "Incorporating Economic Objectives into Bayesian Priors: Portfolio Choice under Parameter Uncertainty," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(4), pages 959-986, August.
    7. Lubos Pastor & Robert F. Stambaugh, 2009. "Are Stocks Really Less Volatile in the Long Run?," NBER Working Papers 14757, National Bureau of Economic Research, Inc.
    8. Ang, Andrew & Chen, Joseph, 2007. "CAPM over the long run: 1926-2001," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 1-40, January.
    9. Eraker, Bjørn, 2008. "A Bayesian view of temporary components in asset prices," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 503-517, June.
    10. Tu, Jun & Zhou, Guofu, 2004. "Data-generating process uncertainty: What difference does it make in portfolio decisions?," Journal of Financial Economics, Elsevier, vol. 72(2), pages 385-421, May.
    11. Malliaropulos, Dimitrios, 1998. "International stock return differentials and real exchange rate changes," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 493-511, June.
    12. Michael W. Brandt & Qiang Kang, 2002. "On the Relationship Between the Conditional Mean and Volatility of Stock Returns: A Latent VAR Approach," NBER Working Papers 9056, National Bureau of Economic Research, Inc.
    13. Doron Avramov & Guofu Zhou, 2010. "Bayesian Portfolio Analysis," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 25-47, December.
    14. Estrada, Javier, 2000. "The temporal dimension of risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(2), pages 189-204.
    15. Estrada, Javier, 1997. "Random walks and the temporal dimension of risk," DEE - Working Papers. Business Economics. WB 7040, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    16. Borup, Daniel, 2019. "Asset pricing model uncertainty," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 166-189.
    17. Brandt, Michael W. & Kang, Qiang, 2004. "On the relationship between the conditional mean and volatility of stock returns: A latent VAR approach," Journal of Financial Economics, Elsevier, vol. 72(2), pages 217-257, May.
    18. Ågren, Martin, 2005. "Myopic Loss Aversion, the Equity Premium Puzzle, and GARCH," Working Paper Series 2005:11, Uppsala University, Department of Economics.
    19. Boguth, Oliver & Carlson, Murray & Fisher, Adlai & Simutin, Mikhail, 2011. "Conditional risk and performance evaluation: Volatility timing, overconditioning, and new estimates of momentum alphas," Journal of Financial Economics, Elsevier, vol. 102(2), pages 363-389.
    20. Roskelley, Kenneth D., 2008. "Cromwell's Rule and the Role of the Prior in the Economic Metric: An Application to the Portfolio Allocation Problem," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 227-236, April.
    21. Lubos Pastor & Robert F. Stambaugh, 2008. "Predictive Systems: Living with Imperfect Predictors," NBER Working Papers 13804, National Bureau of Economic Research, Inc.
    22. Ogden, Joseph P., 2003. "The calendar structure of risk and expected returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 70(1), pages 29-67, October.
    23. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, June.
    24. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.
    25. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 328-383, Elsevier.
    26. Gropp, Jeffrey, 2004. "Mean reversion of industry stock returns in the U.S., 1926-1998," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 537-551, September.
    27. Hollifield, Burton & Koop, Gary & Li, Kai, 2003. "A Bayesian analysis of a variance decomposition for stock returns," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 583-601, December.

  35. Zhou, Guofu, 1995. "Small sample rank tests with applications to asset pricing," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 71-93, March.

    Cited by:

    1. DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003. "Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-Fit in Multivariate Regressions with Application to Asset Pricing Models," Cahiers de recherche 07-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Bura, Efstathia & Cook, R. Dennis, 2003. "Rank estimation in reduced-rank regression," Journal of Multivariate Analysis, Elsevier, vol. 87(1), pages 159-176, October.
    3. DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003. "Finite-Sample Diagnostics for Multivariate Regressions with Applications to Linear Asset Pricing Models," Cahiers de recherche 06-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    4. Ziping Zhao & Daniel P. Palomar, 2018. "Sparse Reduced Rank Regression With Nonconvex Regularization," Papers 1803.07247, arXiv.org.
    5. Raymond Kan & Guofu Zhou, 1999. "A Critique of the Stochastic Discount Factor Methodology," CEMA Working Papers 12, China Economics and Management Academy, Central University of Finance and Economics.
    6. Gospodinov, Nikolay & Kan, Raymond & Robotti, Cesare, 2019. "Too good to be true? Fallacies in evaluating risk factor models," Journal of Financial Economics, Elsevier, vol. 132(2), pages 451-471.
    7. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2009. "Finite sample multivariate tests of asset pricing models with coskewness," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2008-2021, April.
    8. Dufour, Jean-Marie & Beaulieu, Marie-Claude & Khalaf, Lynda, 2003. "Testing mean-variance efficiency in CAPM with possibly non-gaussian errors: an exact simulation-based approach," Discussion Paper Series 1: Economic Studies 2003,01, Deutsche Bundesbank.
    9. Scott Gilbert & Petr Zemčík, 2005. "Testing for Latent Factors in Models with Autocorrelation and Heteroskedasticity of Unknown Form," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 236-252, July.
    10. Jay Shanken & Guofu Zhou, 2006. "Estimating and Testing Beta Pricing Models: Alternative Methods and their Performance in Simulations," NBER Working Papers 12055, National Bureau of Economic Research, Inc.

  36. Zhou, Guofu, 1994. "Analytical GMM Tests: Asset Pricing with Time-Varying Risk Premiums," The Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 687-709.

    Cited by:

    1. Smith, Daniel R., 2007. "Conditional coskewness and asset pricing," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 91-119, January.
    2. 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.
    3. Ahn, Seung C. & Gadarowski, Christopher, 2004. "Small sample properties of the GMM specification test based on the Hansen-Jagannathan distance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 109-132, January.
    4. Ravi Jagannathan & Zhenyu Wang, 1996. "The conditional CAPM and the cross-section of expected returns," Staff Report 208, Federal Reserve Bank of Minneapolis.
    5. Campbell R. Harvey & Bruno Solnik & Guofu Zhou, 2002. "What Determines Expected International Asset Returns?," Annals of Economics and Finance, Society for AEF, vol. 3(2), pages 249-298, November.
    6. Raymond Kan & Guofu Zhou, 1999. "A Critique of the Stochastic Discount Factor Methodology," CEMA Working Papers 12, China Economics and Management Academy, Central University of Finance and Economics.
    7. Zhou, Guofu, 1999. "Security factors as linear combinations of economic variables," Journal of Financial Markets, Elsevier, vol. 2(4), pages 403-432, November.
    8. Zhou, Guofu, 1995. "Small sample rank tests with applications to asset pricing," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 71-93, March.
    9. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    10. Jay Shanken & Guofu Zhou, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," CEMA Working Papers 275, China Economics and Management Academy, Central University of Finance and Economics.
    11. Moench, Emanuel & Adrian, Tobias & Crump, Richard K., 2015. "Regression Based Estimation of Dynamic Asset Pricing Models," CEPR Discussion Papers 10449, Centre for Economic Policy Research.
    12. Mika Vaihekoski, 1998. "Short-term returns and the predictability of Finnish stock returns," Finnish Economic Papers, Finnish Economic Association, vol. 11(1), pages 19-36, Spring.
    13. Hung-Gay Fung & Wai Lee & Wai Kin Leung, 2000. "Segmentation Of The A- And B-Share Chinese Equity Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 23(2), pages 179-195, June.
    14. Velu, Raja & Zhou, Guofu, 1999. "Testing multi-beta asset pricing models," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 219-241, September.
    15. Quintos, Carmela E., 1998. "Analysis of cointegration vectors using the GMM approach," Journal of Econometrics, Elsevier, vol. 85(1), pages 155-188, July.
    16. Pin-Huang Chou & Guofu Zhou, 2006. "Using Bootstrap to Test Portfolio Efficiency," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 217-249, November.
    17. Zhipeng Liao & Yan Liu & Zhenzhen Xie, 2024. "Optimal Cross-Sectional Regression," Management Science, INFORMS, vol. 70(11), pages 7911-7942, November.
    18. Cakici, Nusret & Fabozzi, Frank J. & Tan, Sinan, 2013. "Size, value, and momentum in emerging market stock returns," Emerging Markets Review, Elsevier, vol. 16(C), pages 46-65.
    19. Nawalkha, Sanjay K., 1997. "A multibeta representation theorem for linear asset pricing theories," Journal of Financial Economics, Elsevier, vol. 46(3), pages 357-381, December.
    20. Kim, Soohun & Skoulakis, Georgios, 2018. "Ex-post risk premia estimation and asset pricing tests using large cross sections: The regression-calibration approach," Journal of Econometrics, Elsevier, vol. 204(2), pages 159-188.
    21. Scott Gilbert & Petr Zemčík, 2005. "Testing for Latent Factors in Models with Autocorrelation and Heteroskedasticity of Unknown Form," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 236-252, July.
    22. Huang, Roger D. & Lin, Charles S. Y., 1996. "An analysis of nonlinearities in term premiums and forward rates," Journal of Empirical Finance, Elsevier, vol. 3(4), pages 347-368, December.
    23. Guofu Zhou & Yingzi Zhu, 2015. "Macroeconomic Volatilities and Long-Run Risks of Asset Prices," Management Science, INFORMS, vol. 61(2), pages 413-430, February.
    24. Klein, Rudolf F. & Chow, Victor K., 2013. "Orthogonalized factors and systematic risk decomposition," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 175-187.
    25. Yiying Cheng & Yaozhong Hu & Hongwei Long, 2020. "Generalized moment estimators for $$\alpha $$α-stable Ornstein–Uhlenbeck motions from discrete observations," Statistical Inference for Stochastic Processes, Springer, vol. 23(1), pages 53-81, April.
    26. Jin, Xuejun & Chen, Yifan & Liu, Xiaobin & Zeng, Tao, 2026. "Factors in the cross-section of Chinese corporate bonds: Evidence from reduced-rank analysis," Journal of Empirical Finance, Elsevier, vol. 85(C).
    27. Kallberg, Jarl & Pasquariello, Paolo, 2008. "Time-series and cross-sectional excess comovement in stock indexes," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 481-502, June.

  37. Harvey, Campbell R. & Zhou, Guofu, 1993. "International asset pricing with alternative distributional specifications," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 107-131, June.
    See citations under working paper version above.
  38. Zhou, Guofu, 1993. "Asset-Pricing Tests under Alternative Distributions," Journal of Finance, American Finance Association, vol. 48(5), pages 1927-1942, December.

    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. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    3. Prono, Todd, 2015. "Market proxies as factors in linear asset pricing models: Still living with the roll critique," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 36-53.
    4. Amengual, Dante & Sentana, Enrique, 2010. "A comparison of mean-variance efficiency tests," Journal of Econometrics, Elsevier, vol. 154(1), pages 16-34, January.
    5. Taras Bodnar & Yarema Okhrin & Valdemar Vitlinskyy & Taras Zabolotskyy, 2018. "Determination and estimation of risk aversion coefficients," Computational Management Science, Springer, vol. 15(2), pages 297-317, June.
    6. Landsman, Zinoviy, 2004. "On the generalization of Esscher and variance premiums modified for the elliptical family of distributions," Insurance: Mathematics and Economics, Elsevier, vol. 35(3), pages 563-579, December.
    7. Bodnar, Taras & Reiß, Markus, 2016. "Exact and asymptotic tests on a factor model in low and large dimensions with applications," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 125-151.
    8. Haim Levy, 2010. "The CAPM is Alive and Well: A Review and Synthesis," European Financial Management, European Financial Management Association, vol. 16(1), pages 43-71, January.
    9. Qiao, Zhuo & Wang, Yan & Lam, Keith S.K., 2022. "New evidence on Bayesian tests of global factor pricing models," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 160-172.
    10. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2010. "Asset-pricing anomalies and spanning: Multivariate and multifactor tests with heavy-tailed distributions," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 763-782, September.
    11. Jarl G. Kallberg & Crocker H. Liu & Paolo Pasquariello, 2014. "On the Price Comovement of U.S. Residential Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(1), pages 71-108, March.
    12. Kaplanski, Guy, 2004. "Traditional beta, downside risk beta and market risk premiums," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(5), pages 636-653, December.
    13. Koichiro Moriya & Akihiko Noda, 2025. "A Note on the Asymptotic Properties of the GLS Estimator in Multivariate Regression with Heteroskedastic and Autocorrelated Errors," Papers 2503.13950, arXiv.org.
    14. Pankaj Agrrawal, 2023. "The Gibbons, Ross, and Shanken Test for Portfolio Efficiency: A Note Based on Its Trigonometric Properties," Mathematics, MDPI, vol. 11(9), pages 1-19, May.
    15. Oussama Chakroun & Georges Dionne & Amélie Dugas-Sampara, 2006. "Empirical evaluation of investor rationality in the asset allocation puzzle," Working Papers 06-11, HEC Montreal, Canada Research Chair in Risk Management.
    16. Jean-Marie Dufour & Lynda Khalaf & Marcel Voia, 2013. "Finite-sample resampling-based combined hypothesis tests, with applications to serial correlation and predictability," CIRANO Working Papers 2013s-40, CIRANO.
    17. Taras Bodnar & Stepan Mazur & Krzysztof Podgórski, 2017. "A test for the global minimum variance portfolio for small sample and singular covariance," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(3), pages 253-265, July.
    18. Roy, Vivekananda & Hobert, James P., 2010. "On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors," Journal of Multivariate Analysis, Elsevier, vol. 101(5), pages 1190-1202, May.
    19. Kais Dachraoui & Georges Dionne, 2007. "Conditions Ensuring the Decomposition of Asset Demand for All Risk-Averse Investors," The European Journal of Finance, Taylor & Francis Journals, vol. 13(5), pages 397-404.
    20. Fischer, Matthias J., 2007. "Are correlations constant over time? Application of the CC-TRIGt-test to return series from different asset classes," SFB 649 Discussion Papers 2007-012, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    21. Majumder, Debasish, 2014. "Asset pricing for inefficient markets: Evidence from China and India," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 282-291.
    22. Nikolay Gospodinov & Raymond Kan & Cesare Robotti, 2012. "Analytical solution for the constrained Hansen-Jagannathan distance under multivariate ellipticity," FRB Atlanta Working Paper 2012-18, Federal Reserve Bank of Atlanta.
    23. Pin-Huang Chou & Guofu Zhou, 2006. "Using Bootstrap to Test Portfolio Efficiency," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 217-249, November.
    24. Tu, Jun & Zhou, Guofu, 2004. "Data-generating process uncertainty: What difference does it make in portfolio decisions?," Journal of Financial Economics, Elsevier, vol. 72(2), pages 385-421, May.
    25. Mauleon, Ignacio, 2003. "Financial densities in emerging markets: an application of the multivariate ES density," Emerging Markets Review, Elsevier, vol. 4(2), pages 197-223, June.
    26. Wei Liu & James W. Kolari, 2022. "Multifactor Market Indexes," JRFM, MDPI, vol. 15(4), pages 1-26, March.
    27. Ray, Surajit & Savin, N.E. & Tiwari, Ashish, 2009. "Testing the CAPM revisited," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 721-733, December.
    28. Kim, Soohun & Skoulakis, Georgios, 2018. "Ex-post risk premia estimation and asset pricing tests using large cross sections: The regression-calibration approach," Journal of Econometrics, Elsevier, vol. 204(2), pages 159-188.
    29. Gilberto Paula & Francisco Jose Cysneiros, 2009. "Systematic risk estimation in symmetric models," Applied Economics Letters, Taylor & Francis Journals, vol. 16(2), pages 217-221.
    30. Danilo Leal & Rodrigo Jiménez & Marco Riquelme & Víctor Leiva, 2023. "Elliptical Capital Asset Pricing Models: Formulation, Diagnostics, Case Study with Chilean Data, and Economic Rationale," Mathematics, MDPI, vol. 11(6), pages 1-27, March.
    31. Pin-Huang Chou, 2000. "Alternative Tests Of The Zero-Beta Capm," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 23(4), pages 469-493, December.
    32. Feng, Long & Lan, Wei & Liu, Binghui & Ma, Yanyuan, 2022. "High-dimensional test for alpha in linear factor pricing models with sparse alternatives," Journal of Econometrics, Elsevier, vol. 229(1), pages 152-175.
    33. Marie-Claude BEAULIEU & Jean-Marie DUFOUR & Lynda KHALAF, 2002. "Testing Mean-Variance Efficiency In Capm With Possibly Non-Gaussian Errors : An Exact Simulation-Based Approach," Cahiers de recherche 17-2002, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    34. Gospodinov, Nikolay & Kan, Raymond & Robotti, Cesare, 2016. "On the properties of the constrained Hansen–Jagannathan distance," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 121-150.
    35. Li, Yong & Zeng, Tao & Yu, Jun, 2014. "A new approach to Bayesian hypothesis testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 602-612.
    36. Francesco Giurda & Elias Tzavalis, 2004. "Is the Currency Risk Priced in Equity Markets?," Working Papers 511, Queen Mary University of London, School of Economics and Finance.
    37. Sermin Gungor & Richard Luger, 2013. "Multivariate Tests of Mean-Variance Efficiency and Spanning with a Large Number of Assets and Time-Varying Covariances," Staff Working Papers 13-16, Bank of Canada.
    38. Ayub, Usman & Shah, Syed Zulfiqar Ali & Abbas, Qaisar, 2015. "Robust analysis for downside risk in portfolio management for a volatile stock market," Economic Modelling, Elsevier, vol. 44(C), pages 86-96.
    39. N. Groenewold & P. Fraser, 1998. "Tests of Asset-pricing Models: How important is the IID-normal assumptions?," Economics Discussion / Working Papers 98-20, The University of Western Australia, Department of Economics.
    40. Taras Bodnar & Arjun K. Gupta & Valdemar Vitlinskyi & Taras Zabolotskyy, 2019. "Statistical Inference for the Beta Coefficient," Risks, MDPI, vol. 7(2), pages 1-14, May.
    41. Yong Li & Tao Zeng & Jun Yu, 2012. "Robust Deviance Information Criterion for Latent Variable Models," Working Papers 30-2012, Singapore Management University, School of Economics.
    42. Ando, Masakazu & Hodoshima, Jiro, 2006. "The robustness of asset pricing models: Coskewness and cokurtosis," Finance Research Letters, Elsevier, vol. 3(2), pages 133-146, June.
    43. Muhammad, Irfan, 2012. "Non-standardized form of CAPM and stock returns," MPRA Paper 35604, University Library of Munich, Germany.
    44. Kallberg, Jarl & Pasquariello, Paolo, 2008. "Time-series and cross-sectional excess comovement in stock indexes," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 481-502, June.
    45. Nikolay Gospodinov & Raymond Kan & Cesare Robotti, 2010. "On the Hansen-Jagannathan distance with a no-arbitrage constraint," FRB Atlanta Working Paper 2010-04, Federal Reserve Bank of Atlanta.

  39. Zhou, Guofu, 1991. "Small sample tests of portfolio efficiency," Journal of Financial Economics, Elsevier, vol. 30(1), pages 165-191, November.

    Cited by:

    1. DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003. "Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-Fit in Multivariate Regressions with Application to Asset Pricing Models," Cahiers de recherche 07-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Marie Briere & Bastien Drut & Valérie Mignon & Kim Oosterlinck & Ariane Szafarz, 2012. "Is the Market Portfolio Efficient? A New Test of Mean-Variance Efficiency when All Assets Are Risky," Working Papers CEB 12-003, ULB -- Universite Libre de Bruxelles.
    3. DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003. "Finite-Sample Diagnostics for Multivariate Regressions with Applications to Linear Asset Pricing Models," Cahiers de recherche 06-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    4. Amengual, Dante & Sentana, Enrique, 2010. "A comparison of mean-variance efficiency tests," Journal of Econometrics, Elsevier, vol. 154(1), pages 16-34, January.
    5. Marie Brière & Bastien Drut & Valérie Mignon & Kim Oosterlinck & Ariane Szafarz, 2011. "Is the Market Portfolio Efficient? A New Test to Revisit the Roll (1977) versus Levy and Roll (2010) Controversy," Working Papers hal-04140988, HAL.
    6. Raymond Kan & Guofu Zhou, 1999. "A Critique of the Stochastic Discount Factor Methodology," CEMA Working Papers 12, China Economics and Management Academy, Central University of Finance and Economics.
    7. Levy, Moshe & Levy, Haim, 2015. "Keeping up with the Joneses and optimal diversification," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 29-38.
    8. Zhou, Guofu, 1995. "Small sample rank tests with applications to asset pricing," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 71-93, March.
    9. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2009. "Finite sample multivariate tests of asset pricing models with coskewness," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2008-2021, April.
    10. G. P. Diacogiannis, 1999. "A three-dimensional risk-return relationship based upon the inefficiency of a portfolio: derivation and implications," The European Journal of Finance, Taylor & Francis Journals, vol. 5(3), pages 225-235.
    11. Velu, Raja & Zhou, Guofu, 1999. "Testing multi-beta asset pricing models," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 219-241, September.
    12. Ai He & Guofu Zhou, 2023. "Diagnostics for asset pricing models," Financial Management, Financial Management Association International, vol. 52(4), pages 617-642, December.
    13. Balatti, Mirco & Brooks, Chris & Kappou, Konstantina, 2017. "Fundamental indexation revisited: New evidence on alpha," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 1-15.
    14. Walsh, David M. & Walsh, Kathleen D. & Evans, John P., 1998. "Assessing estimation error in a tracking error variance minimisation framework," Pacific-Basin Finance Journal, Elsevier, vol. 6(1-2), pages 175-192, May.
    15. Dufour, Jean-Marie & Beaulieu, Marie-Claude & Khalaf, Lynda, 2003. "Testing mean-variance efficiency in CAPM with possibly non-gaussian errors: an exact simulation-based approach," Discussion Paper Series 1: Economic Studies 2003,01, Deutsche Bundesbank.
    16. Oghenovo A. Obrimah, 2025. "Is the Fama and French three factor model robust to the pricing of risk preferences?," Empirical Economics, Springer, vol. 69(4), pages 2027-2063, October.
    17. Gopal K. Basak & Ravi Jagannathan & Tongshu Ma, 2009. "Jackknife Estimator for Tracking Error Variance of Optimal Portfolios," Management Science, INFORMS, vol. 55(6), pages 990-1002, June.
    18. Kim, Soohun & Skoulakis, Georgios, 2018. "Ex-post risk premia estimation and asset pricing tests using large cross sections: The regression-calibration approach," Journal of Econometrics, Elsevier, vol. 204(2), pages 159-188.
    19. Pin-Huang Chou, 2000. "Alternative Tests Of The Zero-Beta Capm," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 23(4), pages 469-493, December.
    20. Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.
    21. Diacogiannis, George & Ioannidis, Christos, 2022. "Linear beta pricing with efficient/inefficient benchmarks and short-selling restrictions," International Review of Financial Analysis, Elsevier, vol. 81(C).
    22. Enrique Sentana, 2008. "The Econometrics of Mean-Variance Efficiency Tests: A Survey," Working Papers wp2008_0807, CEMFI.
    23. Koichiro Moriya & Akihiko Noda, 2026. "Finite-Sample Properties of Model Specification Tests for Multivariate Dynamic Regression Models," Papers 2601.21272, arXiv.org, revised Apr 2026.
    24. Philip Gray & Egon Kalotay & Julie McIvor, 1998. "Testing the Multivariate Normality of Australian Stock Returns," Australian Journal of Management, Australian School of Business, vol. 23(2), pages 135-150, December.
    25. Todd Prono, 2006. "GARCH-based identification of triangular systems with an application to the CAPM: still living with the roll critique," Working Papers 07-1, Federal Reserve Bank of Boston.

  40. Harvey, Campbell R. & Zhou, Guofu, 1990. "Bayesian inference in asset pricing tests," Journal of Financial Economics, Elsevier, vol. 26(2), pages 221-254, August.

    Cited by:

    1. Sourish Das & Rituparna Sen, 2021. "Sparse Portfolio Selection via Bayesian Multiple Testing," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 585-617, November.
    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. Wang, Zhenyu, 1998. "Efficiency loss and constraints on portfolio holdings," Journal of Financial Economics, Elsevier, vol. 48(3), pages 359-375, June.
    4. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    5. Chou, Pin-Huang, 1997. "A Gibbs sampling approach to the estimation of linear regression models under daily price limits," Pacific-Basin Finance Journal, Elsevier, vol. 5(1), pages 39-62, February.
    6. Constantinos Kardaras & Hyeng Keun Koo & Johannes Ruf, 2022. "Estimation of growth in fund models," Papers 2208.02573, arXiv.org.
    7. Campbell R. Harvey & Guofu Zhou, 1993. "International asset pricing with alternative distributional specifications," CEMA Working Papers 277, China Economics and Management Academy, Central University of Finance and Economics.
    8. Cederburg, Scott & O’Doherty, Michael S., 2015. "Asset-pricing anomalies at the firm level," Journal of Econometrics, Elsevier, vol. 186(1), pages 113-128.
    9. Ouysse, Rachida & Kohn, Robert, 2010. "Bayesian variable selection and model averaging in the arbitrage pricing theory model," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3249-3268, December.
    10. Shmuel Kandel & Robert McCulloch & Robert F. Stambaugh, 1993. "Bayesian Inference and Portfolio Efficiency," NBER Technical Working Papers 0134, National Bureau of Economic Research, Inc.
    11. Doron Avramov & Si Cheng & Lior Metzker & Stefan Voigt, 2023. "Integrating Factor Models," Journal of Finance, American Finance Association, vol. 78(3), pages 1593-1646, June.
    12. Robert F. Stambaugh, 1997. "Analyzing Investments Whose Histories Differ in Length," NBER Working Papers 5918, National Bureau of Economic Research, Inc.
    13. Feng, Guanhao & He, Jingyu, 2022. "Factor investing: A Bayesian hierarchical approach," Journal of Econometrics, Elsevier, vol. 230(1), pages 183-200.
    14. Kan, Raymond & Wang, Xiaolu & Zheng, Xinghua, 2024. "In-sample and out-of-sample Sharpe ratios of multi-factor asset pricing models," Journal of Financial Economics, Elsevier, vol. 155(C).
    15. Tu, Jun & Zhou, Guofu, 2010. "Incorporating Economic Objectives into Bayesian Priors: Portfolio Choice under Parameter Uncertainty," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(4), pages 959-986, August.
    16. Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2020. "Bayesian solutions for the factor zoo: we just ran two quadrillion models," LSE Research Online Documents on Economics 118924, London School of Economics and Political Science, LSE Library.
    17. Pin-Huang Chou & Guofu Zhou, 2006. "Using Bootstrap to Test Portfolio Efficiency," Annals of Economics and Finance, Society for AEF, vol. 7(2), pages 217-249, November.
    18. Walsh, David M. & Walsh, Kathleen D. & Evans, John P., 1998. "Assessing estimation error in a tracking error variance minimisation framework," Pacific-Basin Finance Journal, Elsevier, vol. 6(1-2), pages 175-192, May.
    19. Marie Brière & Ariane Szafarz, 2021. "When it rains, it pours: Multifactor asset management in good and bad times," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(3), pages 641-669, September.
    20. Zhenyu Wang & Xiaoyan Zhang, 2006. "Empirical evaluation of asset pricing models: arbitrage and pricing errors over contingent claims," Staff Reports 265, Federal Reserve Bank of New York.
    21. Pin-Huang Chou, 1996. "Using Bootstrap to Test Mean-Variance Efficiency of a Given Portfolio," Finance 9609002, University Library of Munich, Germany.
    22. Chinco, Alex & Neuhierl, Andreas & Weber, Michael, 2021. "Estimating the anomaly base rate," Journal of Financial Economics, Elsevier, vol. 140(1), pages 101-126.
    23. Tu, Jun & Zhou, Guofu, 2004. "Data-generating process uncertainty: What difference does it make in portfolio decisions?," Journal of Financial Economics, Elsevier, vol. 72(2), pages 385-421, May.
    24. Fletcher, Jonathan, 2018. "Bayesian tests of global factor models," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 279-289.
    25. Harvey, Campbell R., 2001. "The specification of conditional expectations," Journal of Empirical Finance, Elsevier, vol. 8(5), pages 573-637, December.
    26. Eric Jondeau & Michael Rockinger, 2002. "Asset Allocation in Transition Economies," Working papers 90, Banque de France.
    27. Pin-Huang Chou, 2000. "Alternative Tests Of The Zero-Beta Capm," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 23(4), pages 469-493, December.
    28. ROCKINGER, Michael & JONDEAU, Eric, 2001. "Portfolio allocation in transition economies," HEC Research Papers Series 740, HEC Paris.
    29. Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.
    30. Fletcher, Jonathan, 2019. "Model comparison tests of linear factor models in U.K. stock returns," Finance Research Letters, Elsevier, vol. 28(C), pages 281-291.
    31. Manuel Ammann & Michael Verhofen, 2008. "Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach," European Financial Management, European Financial Management Association, vol. 14(3), pages 391-418, June.
    32. John Geweke & Guofu Zhou, 1995. "Measuring the pricing error of the arbitrage pricing theory," Staff Report 189, Federal Reserve Bank of Minneapolis.
    33. Enrique Sentana, 2008. "The Econometrics of Mean-Variance Efficiency Tests: A Survey," Working Papers wp2008_0807, CEMFI.
    34. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, June.
    35. Cosemans, M. & Frehen, R.G.P. & Schotman, P.C. & Bauer, R.M.M.J., 2009. "Efficient Estimation of Firm-Specific Betas and its Benefits for Asset Pricing Tests and Portfolio Choice," MPRA Paper 23557, University Library of Munich, Germany.
    36. Francisco Barillas & Jay Shanken, 2015. "Comparing Asset Pricing Models," NBER Working Papers 21771, National Bureau of Economic Research, Inc.
    37. Johnstone, David, 2022. "Accounting research and the significance test crisis," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 89(C).
    38. Malefaki, Valia, 2015. "On Flexible Linear Factor Stochastic Volatility Models," MPRA Paper 62216, University Library of Munich, Germany.
    39. Ferson, Wayne E & Korajczyk, Robert A, 1995. "Do Arbitrage Pricing Models Explain the Predictability of Stock Returns?," The Journal of Business, University of Chicago Press, vol. 68(3), pages 309-349, July.

Chapters

  1. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 328-383, Elsevier.

    Cited by:

    1. Rangan Gupta & Patrick Kanda & Mark E. Wohar, 2021. "Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 324-335, March.
    2. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    3. Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
    4. Wang, Yubao & Huang, Xiaozhou & Huang, Zhendong, 2024. "Energy-related uncertainty and Chinese stock market returns," Finance Research Letters, Elsevier, vol. 62(PB).
    5. Bekiros, Stelios & Gupta, Rangan & Majumdar, Anandamayee, 2016. "Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis," Finance Research Letters, Elsevier, vol. 18(C), pages 291-296.
    6. Nikolaos Antonakakis & Rangan Gupta & Aviral K. Tiwari, 2016. "Time-Varying Correlations between Inflation and Stock Prices in the United States over the Last Two Centuries," Working Papers 201605, University of Pretoria, Department of Economics.
    7. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    8. Møller, Stig V. & Rangvid, Jesper, 2015. "End-of-the-year economic growth and time-varying expected returns," Journal of Financial Economics, Elsevier, vol. 115(1), pages 136-154.
    9. Kostakis, Alexandros & Magdalinos, Tassos & Stamatogiannis, Michalis P., 2023. "Taking stock of long-horizon predictability tests: Are factor returns predictable?," Journal of Econometrics, Elsevier, vol. 237(2).
    10. Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.
    11. Shi, Qi & Li, Bin, 2022. "Further evidence on financial information and economic activity forecasts in the United States," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    12. Rangan Gupta & Yuvana Jaichand & Christian Pierdzioch & Reneé van Eyden, 2023. "Realized Stock-Market Volatility of the United States and the Presidential Approval Rating," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
    13. Leland E. Farmer & Lawrence Schmidt & Allan Timmermann, 2023. "Pockets of Predictability," Journal of Finance, American Finance Association, vol. 78(3), pages 1279-1341, June.
    14. Mingwei Sun & Paskalis Glabadanidis, 2022. "Can technical indicators predict the Chinese equity risk premium?," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 114-142, March.
    15. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2015. "Are Indian stock returns predictable?," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 506-531.
    16. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Role of hedging on crypto returns predictability: A new habit-based explanation," Finance Research Letters, Elsevier, vol. 55(PB).
    17. Katsafados, Apostolos G. & Leledakis, George N. & Panagiotou, Nikolaos P. & Pyrgiotakis, Emmanouil G., 2024. "Can central bankers’ talk predict bank stock returns? A machine learning approach," MPRA Paper 122899, University Library of Munich, Germany.
    18. Peter Carr & Liuren Wu, 2023. "Decomposing Long Bond Returns: A Decentralized Theory," Review of Finance, European Finance Association, vol. 27(3), pages 997-1026.
    19. Apergis, Nicholas & Gupta, Rangan, 2017. "Can (unusual) weather conditions in New York predict South African stock returns?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 377-386.
    20. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    21. Koo, Bonsoo & Anderson, Heather M. & Seo, Myung Hwan & Yao, Wenying, 2020. "High-dimensional predictive regression in the presence of cointegration," Journal of Econometrics, Elsevier, vol. 219(2), pages 456-477.
    22. Cenedese, Gino & Mallucci, Enrico, 2016. "What moves international stock and bond markets?," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 94-113.
    23. Jonathan Fletcher, 2024. "AN examination of linear factor models in U.K. stock returns in the presence of dynamic trading," Review of Quantitative Finance and Accounting, Springer, vol. 63(3), pages 1121-1147, October.
    24. Amirali Nasouri, 2025. "The Impact of Geopolitical Risks on Equity Markets and Financial Stress: A Comparative Analysis of Emerging and Advanced Economies," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 30-41.
    25. Harri Pönkä, 2017. "Predicting the direction of US stock markets using industry returns," Empirical Economics, Springer, vol. 52(4), pages 1451-1480, June.
    26. Gupta, Rangan & Wohar, Mark, 2017. "Forecasting oil and stock returns with a Qual VAR using over 150years off data," Energy Economics, Elsevier, vol. 62(C), pages 181-186.
    27. Imen Dakhlaoui & Chaker Aloui, 2016. "The Interactive Relationship Between the US Economic Policy Uncertainty and BRIC Stock Markets," International Economics, CEPII research center, issue 146, pages 141-157.
    28. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2023. "The sum of all fears: Forecasting international returns using option-implied risk measures," Journal of Banking & Finance, Elsevier, vol. 146(C).
    29. Daniel de Almeida & Ana-Maria Fuertes & Luiz Koodi Hotta, 2025. "Out-of-Sample Predictability of the Equity Risk Premium," Mathematics, MDPI, vol. 13(2), pages 1-23, January.
    30. Yongmiao Hong & Tae-Hwy Lee & Yuying Sun & Shouyang Wang & Xinyu Zhang, 2017. "Time-varying Model Averaging," Working Papers 202001, University of California at Riverside, Department of Economics.
    31. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2022. "Oil-Price Uncertainty and International Stock Returns: Dissecting Quantile-Based Predictability and Spillover Effects Using More than a Century of Data," Energies, MDPI, vol. 15(22), pages 1-26, November.
    32. Haibin Xie & Shouyang Wang, 2015. "Risk-return trade-off, information diffusion, and U.S. stock market predictability," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-20, December.
    33. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2015. "International Stock Return Predictability: Is the Role of U.S. Time-Varying?," Working Papers 15-07, Eastern Mediterranean University, Department of Economics.
    34. Chen, Yong & Da, Zhi & Huang, Dayong, 2022. "Short selling efficiency," Journal of Financial Economics, Elsevier, vol. 145(2), pages 387-408.
    35. Sander, Magnus, 2018. "Market timing over the business cycle," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 130-145.
    36. Bekiros, Stelios & Gupta, Rangan & Kyei, Clement, 2016. "On economic uncertainty, stock market predictability and nonlinear spillover effects," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 184-191.
    37. Umar, Zaghum, 2017. "Islamic vs conventional equities in a strategic asset allocation framework," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 1-10.
    38. Cunha, Ronan & Pereira, Pedro L. Valls, 2015. "Automatic model selection for forecasting Brazilian stock returns," Textos para discussão 398, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    39. Philippe Goulet Coulombe, 2020. "To Bag is to Prune," Papers 2008.07063, arXiv.org, revised Sep 2024.
      • Philippe Goulet Coulombe, 2021. "To Bag is to Prune," Working Papers 21-03, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Jun 2021.
    40. Wu, Shue-Jen & Lee, Wei-Ming, 2015. "Predicting severe simultaneous bear stock markets using macroeconomic variables as leading indicators," Finance Research Letters, Elsevier, vol. 13(C), pages 196-204.
    41. Taofeek O. AYINDE & Farouq A. ADEYEMI, 2023. "Global Evidence of Oil Supply Shocks and Climate Risk a GARCH-MIDAS Approach," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 4(2), pages 1-7.
    42. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch & Mark Wohar, 2016. "Terror Attacks and Stock-Market Fluctuations: Evidence Based on a Nonparametric Causality-in-Quantiles Test for the G7 Countries," Working Papers 201608, University of Pretoria, Department of Economics.
    43. Ayinde, Taofeek O. & Olaniran, Abeeb O. & Abolade, Onomeabure C. & Ogbonna, Ahamuefula Ephraim, 2023. "Technology shocks - Gold market connection: Is the effect episodic to business cycle behaviour?," Resources Policy, Elsevier, vol. 84(C).
    44. Christou, Christina & Gupta, Rangan, 2020. "Forecasting equity premium in a panel of OECD countries: The role of economic policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 243-248.
    45. Cheng, Tingting & Jiang, Shan & Zhao, Albert Bo & Zhao, Junyi, 2025. "Is machine learning a necessity? A regression-based approach for stock return prediction," Journal of Empirical Finance, Elsevier, vol. 81(C).
    46. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2022. "Cryptocurrency returns under empirical asset pricing," International Review of Financial Analysis, Elsevier, vol. 82(C).
    47. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2021. "Short-Term Exuberance and Long-Term Stability: A Simultaneous Optimization of Stock Return Predictions for Short and Long Horizons," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
    48. Salisu, Afees A. & Gupta, Rangan & Cepni, Oguzhan, 2026. "Housing market variables and predictability of state-level stock market volatility of the United States: Fundamentals versus sentiments in a mixed-frequency framework," The Quarterly Review of Economics and Finance, Elsevier, vol. 105(C).
    49. Salisu, Afees A. & Bouri, Elie & Gupta, Rangan, 2022. "Out-of-sample predictability of gold market volatility: The role of US Nonfarm Payroll," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 482-488.
    50. 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.
    51. Christina Christou & Rangan Gupta & Fredj Jawadi, 2017. "Does Inequality Help in Forecasting Equity Premium in a Panel of G7 Countries?," Working Papers 201720, University of Pretoria, Department of Economics.
    52. Massimo Guidolin & Manuela Pedio, 2018. "Forecasting Commodity Futures Returns: An Economic Value Analysis of Macroeconomic vs. Specific Factors," BAFFI CAREFIN Working Papers 1886, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    53. Rangan Gupta & Marian Risse & David A. Volkman & Mark E. Wohar, 2017. "The Role of Term Spread and Pattern Changes in Predicting Stock Returns and Volatility of the United Kingdom: Evidence from a Nonparametric Causality-in-Quantiles Test Using Over 250 Years of Data," Working Papers 201755, University of Pretoria, Department of Economics.
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    184. Adnen Ben Nasr & Ahdi N. Ajmi & Rangan Gupta, 2013. "Modeling the Volatility of the Dow Jones Islamic Market World Index Using a Fractionally Integrated Time Varying GARCH (FITVGARCH) Model," Working Papers 201357, University of Pretoria, Department of Economics.
    185. Peter Christoffersen & Mathieu Fournier & Kris Jacobs & Mehdi Karoui, 2015. "Option-Based Estimation of the Price of Co-Skewness and Co-Kurtosis Risk," CREATES Research Papers 2015-54, Department of Economics and Business Economics, Aarhus University.
    186. Gao, Lei & Han, Yufeng & Zhengzi Li, Sophia & Zhou, Guofu, 2018. "Market intraday momentum," Journal of Financial Economics, Elsevier, vol. 129(2), pages 394-414.
    187. Spierdijk, Laura & Umar, Zaghum, 2015. "Stocks, bonds, T-bills and inflation hedging: From great moderation to great recession," Journal of Economics and Business, Elsevier, vol. 79(C), pages 1-37.
    188. Hammerschmid, Regina & Lohre, Harald, 2018. "Regime shifts and stock return predictability," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 138-160.
    189. Rangan Gupta & Sayar Karmakar & Christian Pierdzioch, 2022. "Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data," Working Papers 202201, University of Pretoria, Department of Economics.
    190. Yin, Anwen, 2020. "Equity premium prediction and optimal portfolio decision with Bagging," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    191. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," NBER Working Papers 25398, National Bureau of Economic Research, Inc.
    192. Afees A. Salisu & Rangan Gupta & Idris A. Adediran, 2021. "The Effect of US Uncertainty Shock on International Equity Markets: The Role of the Global Financial Cycle," Working Papers 202136, University of Pretoria, Department of Economics.
    193. Gang Chu & John W. Goodell & Dehua Shen & Yongjie Zhang, 2022. "Machine learning to establish proxies for investor attention: evidence of improved stock-return prediction," Annals of Operations Research, Springer, vol. 318(1), pages 103-128, November.
    194. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and realized volatility of major commodity currency exchange rates," Journal of Financial Markets, Elsevier, vol. 62(C).
    195. Cao, Zhen & Han, Liyan & Wei, Xinbei & Zhang, Qunzi, 2022. "Fear in commodity return prediction," Finance Research Letters, Elsevier, vol. 46(PB).
    196. Xianzheng Zhou & Hui Zhou & Huaigang Long, 2023. "Forecasting the equity premium: Do deep neural network models work?," Modern Finance, Modern Finance Institute, vol. 1(1), pages 1-11.
    197. João F. Caldeira & Rangan Gupta & Hudson S. Torrent, 2020. "Forecasting U.S. Aggregate Stock Market Excess Return: Do Functional Data Analysis Add Economic Value?," Mathematics, MDPI, vol. 8(11), pages 1-16, November.
    198. Chang, Tsangyao & Gupta, Rangan & Majumdar, Anandamayee & Pierdzioch, Christian, 2019. "Predicting stock market movements with a time-varying consumption-aggregate wealth ratio," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 458-467.
    199. Rangan Gupta & Anandamayee Majumdar & Mark E. Wohar, 2017. "The Role of Current Account Balance in Forecasting the US Equity Premium: Evidence From a Quantile Predictive Regression Approach," Open Economies Review, Springer, vol. 28(1), pages 47-59, February.
    200. Balcilar, Mehmet & Bathia, Deven & Demirer, Riza & Gupta, Rangan, 2021. "Credit ratings and predictability of stock return dynamics of the BRICS and the PIIGS: Evidence from a nonparametric causality-in-quantiles approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 290-302.
    201. Gino Cenedese & Richard Payne & Lucio Sarno & Giorgio Valente, 2015. "What do stock markets tell us about exchange rates?," Bank of England Staff Working Paper series 537, Bank of England.
    202. Massimo Guidolin & Manuela Pedio, 2020. "Distilling Large Information Sets to Forecast Commodity Returns: Automatic Variable Selection or HiddenMarkov Models?," BAFFI CAREFIN Working Papers 20140, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    203. Boudoukh, Jacob & Israel, Ronen & Richardson, Matthew, 2022. "Biases in long-horizon predictive regressions," Journal of Financial Economics, Elsevier, vol. 145(3), pages 937-969.
    204. Gupta, Rangan & Pierdzioch, Christian & Selmi, Refk & Wohar, Mark E., 2018. "Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 87-96.
    205. Zhang, Yue-Jun & Li, Zhao-Chen, 2021. "Forecasting the stock returns of Chinese oil companies: Can investor attention help?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 531-555.
    206. Honghai Yu & Xianfeng Hao & Liangyu Wu & Yuqi Zhao & Yudong Wang, 2023. "Eye in outer space: satellite imageries of container ports can predict world stock returns," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    207. Ana Sofia Monteiro & Helder Sebastião & Nuno Silva, 2025. "Prediction and Allocation of Stocks, Bonds, and REITs in the US Market," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1191-1230, March.
    208. Haibin Xie & Yuying Sun & Pengying Fan, 2023. "Return direction forecasting: a conditional autoregressive shape model with beta density," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-16, December.
    209. Wenbo Wu & Jiaqi Chen & Liang Xu & Qingyun He & Michael L. Tindall, 2019. "A statistical learning approach for stock selection in the Chinese stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-18, December.
    210. Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2017. "Predictability and diversification benefits of investing in commodity and currency futures," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 52-66.
    211. Wang, Yudong & Liu, Li & Ma, Feng & Diao, Xundi, 2018. "Momentum of return predictability," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 141-156.
    212. Sun, Yulong & Wang, Kai & Zhou, Zhiping, 2025. "Fear propagation and return dynamics," Journal of Banking & Finance, Elsevier, vol. 173(C).
    213. Yue-Jun Zhang & Han Zhang & Rangan Gupta, 2021. "Forecasting the Artificial Intelligence Index Returns: A Hybrid Approach," Working Papers 202182, University of Pretoria, Department of Economics.
    214. Rangan Gupta & John W. Muteba Mwamba & Mark E. Wohar, 2016. "The Role of Partisan Conflict in Forecasting the U.S. Equity Premium: A Nonparametric Approach," Working Papers 201686, University of Pretoria, Department of Economics.
    215. Ferrer Fernández, María & Henry, Ólan & Pybis, Sam & Stamatogiannis, Michalis P., 2023. "Can we forecast better in periods of low uncertainty? The role of technical indicators," Journal of Empirical Finance, Elsevier, vol. 71(C), pages 1-12.
    216. Stein, Tobias, 2024. "Forecasting the equity premium with frequency-decomposed technical indicators," International Journal of Forecasting, Elsevier, vol. 40(1), pages 6-28.
    217. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    218. Farag, Hisham & Luo, Di & Yarovaya, Larisa & Zieba, Damian, 2025. "Returns from liquidity provision in cryptocurrency markets," Journal of Banking & Finance, Elsevier, vol. 175(C).
    219. Liu, Dan, 2025. "Seeing is believing: Forecasting oil market returns with artificial intelligence-powered visual climate change perception," Global Finance Journal, Elsevier, vol. 68(C).
    220. Nonejad, Nima, 2021. "Predicting equity premium using dynamic model averaging. Does the state–space representation matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    221. Helena Chuliá & Rangan Gupta & Jorge M. Uribe & Mark E. Wohar, 2016. "Impact of US Uncertainties on Emerging and Mature Markets: Evidence from a Quantile-Vector Autoregressive Approach," Working Papers 201656, University of Pretoria, Department of Economics.
    222. Yuan, Ying & Qu, Yong & Qiao, Sijia, 2025. "Equity premium prediction: A constraint-based predictor decomposition approach," Global Finance Journal, Elsevier, vol. 68(C).
    223. Walid Bahloul & Mehmet Balcilar & Juncal Cunado & Rangan Gupta, 2017. "The Role of Economic and Financial Uncertainties in Predicting Commodity Futures Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201725, University of Pretoria, Department of Economics.
    224. Wang, Yudong & Pan, Zhiyuan & Wu, Chongfeng & Wu, Wenfeng, 2020. "Industry equi-correlation: A powerful predictor of stock returns," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 1-24.
    225. Dai, Zhifeng & Zhu, Huan, 2021. "Indicator selection and stock return predictability," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    226. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    227. Oğuzhan Çepni & Rangan Gupta & Mark E. Wohar, 2021. "Variants of consumption‐wealth ratios and predictability of U.S. government bond risk premia," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 661-674, June.
    228. Dai, Zhifeng & Dong, Xiaodi & Kang, Jie & Hong, Lianying, 2020. "Forecasting stock market returns: New technical indicators and two-step economic constraint method," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    229. Yu, Deshui & Huang, Difang, 2023. "Cross-sectional uncertainty and expected stock returns," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 321-340.
    230. Díaz, Juan D. & Hansen, Erwin & Cabrera, Gabriel, 2021. "Economic drivers of commodity volatility: The case of copper," Resources Policy, Elsevier, vol. 73(C).
    231. Xin-Lan Fu & Xing-Lu Gao & Zheng Shan & Yin-Jie Ma & Zhi-Qiang Jiang & Wei-Xing Zhou, 2025. "Multifractal characteristics and return predictability in the Chinese stock markets," Annals of Operations Research, Springer, vol. 352(3), pages 415-440, September.
    232. Muzhao Jin & Fearghal Kearney & Youwei Li & Yung Chiang Yang, 2020. "Intraday time‐series momentum: Evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 632-650, April.
    233. Enno Mammen & Jens Perch Nielsen & Michael Scholz & Stefan Sperlich, 2019. "Conditional Variance Forecasts for Long-Term Stock Returns," Risks, MDPI, vol. 7(4), pages 1-22, November.
    234. Nima Nonejad, 2021. "Using the conditional volatility channel to improve the accuracy of aggregate equity return predictions," Empirical Economics, Springer, vol. 61(2), pages 973-1009, August.
    235. Oguzhan Cepni & Rangan Gupta & Qiang Ji, 2021. "Sentiment Regimes and Reaction of Stock Markets to Conventional and Unconventional Monetary Policies: Evidence from OECD Countries," Working Papers 202126, University of Pretoria, Department of Economics.
    236. Afees A. Salisu & Rangan Gupta, 2023. "Oil Price Returns Skewness and Forecastability of International Stock Returns Over One Century of Data," Working Papers 202339, University of Pretoria, Department of Economics.
    237. Zongwu Cai & Pixiong Chen, 2024. "Online Investor Sentiment via Machine Learning," Mathematics, MDPI, vol. 12(20), pages 1-14, October.
    238. Dichtl, Hubert & Drobetz, Wolfgang & Neuhierl, Andreas & Wendt, Viktoria-Sophie, 2021. "Data snooping in equity premium prediction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 72-94.
    239. Ólan Henry & Semih Kerestecioglu & Sam Pybis, 2024. "Can financial uncertainty forecast aggregate stock market returns?," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 33(2), pages 91-111, May.
    240. Hollstein, Fabian & Prokopczuk, Marcel & Tharann, Björn & Wese Simen, Chardin, 2025. "Predicting the equity premium around the globe: Comprehensive evidence from a large sample," International Journal of Forecasting, Elsevier, vol. 41(1), pages 208-228.
    241. Bouri, Elie & Gupta, Rangan, 2021. "Predicting Bitcoin returns: Comparing the roles of newspaper- and internet search-based measures of uncertainty," Finance Research Letters, Elsevier, vol. 38(C).
    242. Herger, Nils, 2025. "A runs test for stock-market prices with an unobserved trend," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
    243. Daniele Bianchi & Massimo Guidolin & Manuela Pedio, 2020. "Dissecting Time-Varying Risk Exposures in Cryptocurrency Markets," BAFFI CAREFIN Working Papers 20143, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    244. Maung, Kenwin & Swanson, Norman R., 2025. "A survey of models and methods used for forecasting when investing in financial markets," International Journal of Forecasting, Elsevier, vol. 41(4), pages 1355-1382.
    245. Dong, Dayong & Yue, Sishi & Cao, Jiawei, 2020. "Site visit information content and return predictability: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    246. Massimo Guidolin & Manuela Pedio & Milena T. Petrova, 2023. "The Predictability of Real Estate Excess Returns: An Out-of-Sample Economic Value Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 67(1), pages 108-149, July.
    247. Cerqueti, Roy & Ficcadenti, Valerio & Mattera, Raffaele, 2024. "Investors’ attention and network spillover for commodity market forecasting," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    248. Taylor, Nick, 2026. "Portfolio return prediction and risk price heterogeneity," International Journal of Forecasting, Elsevier, vol. 42(2), pages 434-456.
    249. Yuan, Ying & Qu, Yong & Wang, Tianyang, 2025. "Predicting risk premiums: A constraint-based model," Journal of Empirical Finance, Elsevier, vol. 83(C).
    250. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Forecasting Stock Market Returns in Advanced Economies over a Century," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    251. Eric Jondeau & Xuewu Wang & Zhipeng Yan & Qunzi Zhang, 2020. "Skewness and index futures return," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1648-1664, November.
    252. Stig V. Møller & Jesper Rangvid, 2018. "Global Economic Growth and Expected Returns Around the World: The End-of-the-Year Effect," Management Science, INFORMS, vol. 64(2), pages 573-591, February.
    253. David E. Rapach & Matthew C. Ringgenberg & Guofu Zhou, 2016. "Short interest and aggregate stock returns," CEMA Working Papers 716, China Economics and Management Academy, Central University of Finance and Economics.
    254. Gupta, Rangan & Hammoudeh, Shawkat & Modise, Mampho P. & Nguyen, Duc Khuong, 2014. "Can economic uncertainty, financial stress and consumer sentiments predict U.S. equity premium?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 367-378.
    255. Yi, Yongsheng & He, Mengxi & Zhang, Yaojie, 2022. "Out-of-sample prediction of Bitcoin realized volatility: Do other cryptocurrencies help?," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    256. Liu, Li & Zhang, Tao, 2015. "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, vol. 15(C), pages 99-105.
    257. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    258. Kamocsai, László & Ormos, Mihály, 2025. "Modeling gasoline price volatility," Finance Research Letters, Elsevier, vol. 73(C).
    259. Yu, Deshui & Yan, Yayi, 2025. "A system of time-varying models for predictive regressions," Journal of Empirical Finance, Elsevier, vol. 82(C).
    260. Bätje, Fabian & Menkhoff, Lukas, 2016. "Predicting the equity premium via its components," VfS Annual Conference 2016 (Augsburg): Demographic Change 145789, Verein für Socialpolitik / German Economic Association.
    261. Elie Bouri & Rangan Gupta & Anandamayee Majumdar & Sowmya Subramaniam, 2020. "Time-Varying Risk Aversion and Forecastability of the US Term Structure of Interest Rates," Working Papers 202098, University of Pretoria, Department of Economics.
    262. Oktay Ozkan, 2020. "Time-varying return predictability and adaptive markets hypothesis: Evidence on MIST countries from a novel wild bootstrap likelihood ratio approach," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 34(2), pages 101-113.
    263. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2018. "Forecasting (Good and Bad) Realized Exchange-Rate Volatility: Is there a Role for Realized Skewness and Kurtosis?," Working Papers 201879, University of Pretoria, Department of Economics.
    264. Shamsi Zamenjani, Azam, 2021. "Do financial variables help predict the conditional distribution of the market portfolio?," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 327-345.
    265. Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2017. "The Role of Time-Varying Rare Disaster Risks in Predicting Bond Returns and Volatility," Working Papers 201770, University of Pretoria, Department of Economics.
    266. Balcilar, Mehmet & Gupta, Rangan & Kim, Won Joong & Kyei, Clement, 2019. "The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 150-163.
    267. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2021. "Tail Risks and Forecastability of Stock Returns of Advanced Economies: Evidence from Centuries of Data," Working Papers 202117, University of Pretoria, Department of Economics.
    268. Li Liu & Zhiyuan Pan & Yudong Wang, 2022. "Shrinking return forecasts," The Financial Review, Eastern Finance Association, vol. 57(3), pages 641-661, August.
    269. Dbouk, Wassim & Moussawi-Haidar, Lama & Jaber, Mohamad Y., 2020. "The effect of economic uncertainty on inventory and working capital for manufacturing firms," International Journal of Production Economics, Elsevier, vol. 230(C).
    270. Hammami, Yacine & Zhu, Jie, 2020. "Understanding time-varying short-horizon predictability✰," Finance Research Letters, Elsevier, vol. 32(C).
    271. Schlosky, Minh Tam Tammy & Karadas, Serkan & Stivers, Adam, 2024. "Forecasting U.S. Stock Returns Conditional on Geopolitical Risk and Business Cycles," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    272. Shi, Qi, 2025. "Technical indicators and aggregate stock returns: An updated look," Journal of Multinational Financial Management, Elsevier, vol. 77(C).
    273. Bin Chen & Kenwin Maung, 2020. "Time-varying Forecast Combination for High-Dimensional Data," Papers 2010.10435, arXiv.org.
    274. Souropanis, Ioannis & Vivian, Andrew, 2023. "Forecasting realized volatility with wavelet decomposition," Journal of Empirical Finance, Elsevier, vol. 74(C).
    275. Nygaard, Knut & Sørensen, Lars Qvigstad, 2024. "Betting on war? Oil prices, stock returns, and extreme geopolitical events," Energy Economics, Elsevier, vol. 136(C).
    276. Oguzhan Cepni & Rangan Gupta & Mark E. Wohar, 2019. "Variants of Consumption-Wealth Ratios and Predictability of U.S. Government Bond Risk Premia: Old is still Gold," Working Papers 201912, University of Pretoria, Department of Economics.
    277. Dierkes, Maik & Germer, Stephan & Sejdiu, Vulnet, 2020. "Probability distortion, asset prices, and economic growth," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    278. Fabian Hollstein & Marcel Prokopczuk, 2023. "Managing the Market Portfolio," Management Science, INFORMS, vol. 69(6), pages 3675-3696, June.
    279. Li, Jun & Wang, Huijun & Yu, Jianfeng, 2021. "Aggregate expected investment growth and stock market returns," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 618-638.
    280. Hanan Naser & Fatema Alaali, 2018. "Can oil prices help predict US stock market returns? Evidence using a dynamic model averaging (DMA) approach," Empirical Economics, Springer, vol. 55(4), pages 1757-1777, December.
    281. Dahlquist, Magnus & Hasseltoft, Henrik, 2020. "Economic momentum and currency returns," Journal of Financial Economics, Elsevier, vol. 136(1), pages 152-167.
    282. Nonejad, Nima, 2020. "Crude oil price volatility and equity return predictability: A comparative out-of-sample study," International Review of Financial Analysis, Elsevier, vol. 71(C).
    283. Arseny Gorbenko & Marcin Kacperczyk, 2023. "Short Interest and Aggregate Stock Returns: International Evidence," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 13(4), pages 691-733.
    284. Lawrenz, Jochen & Zorn, Josef, 2017. "Predicting international stock returns with conditional price-to-fundamental ratios," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 159-184.
    285. Lin, Qi & Lin, Xi, 2021. "Cash conversion cycle and aggregate stock returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    286. Azmi, Wajahat & Mohamad, Shamsher & Shah, Mohamed Eskandar, 2020. "Ethical investments and financial performance: An international evidence," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    287. Wang, Yudong & Hao, Xianfeng & Wu, Chongfeng, 2021. "Forecasting stock returns: A time-dependent weighted least squares approach," Journal of Financial Markets, Elsevier, vol. 53(C).
    288. 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.
    289. Plakandaras, Vasilios & Gupta, Rangan & Wong, Wing-Keung, 2019. "Point and density forecasts of oil returns: The role of geopolitical risks," Resources Policy, Elsevier, vol. 62(C), pages 580-587.
    290. Christina Christou & Rangan Gupta & Christis Hassapis, 2016. "Does Economic Policy Uncertainty Forecast Real Housing Returns in a Panel of OECD Countries? A Bayesian Approach," Working Papers 201637, University of Pretoria, Department of Economics.
    291. Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020. "Longer-Term Forecasting of Excess Stock Returns—The Five-Year Case," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
    292. Rangan Gupta & Chi Keung Marco Lau & Wendy Nyakabawo, 2018. "Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment," Working Papers 201866, University of Pretoria, Department of Economics.
    293. Wang, Yudong & Pan, Zhiyuan & Liu, Li & Wu, Chongfeng, 2019. "Oil price increases and the predictability of equity premium," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 43-58.
    294. Baur, Dirk G. & Dichtl, Hubert & Drobetz, Wolfgang & Wendt, Viktoria-Sophie, 2020. "Investing in gold – Market timing or buy-and-hold?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    295. Afees A. Salisu & Abeeb Olaniran, 2022. "The U.S. Nonfarm Payroll and the out-of-sample predictability of output growth for over six decades," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4663-4673, December.
    296. Antonakakis, Nikolaos & Gupta, Rangan & Tiwari, Aviral K., 2017. "Has the correlation of inflation and stock prices changed in the United States over the last two centuries?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1-8.
    297. Kenwin Maung, 2021. "Estimating high-dimensional Markov-switching VARs," Papers 2107.12552, arXiv.org.
    298. Carr, Peter & Wu, Liuren, 2016. "Analyzing volatility risk and risk premium in option contracts: A new theory," Journal of Financial Economics, Elsevier, vol. 120(1), pages 1-20.
    299. Christou, Christina & Cunado, Juncal & Gupta, Rangan & Hassapis, Christis, 2017. "Economic policy uncertainty and stock market returns in PacificRim countries: Evidence based on a Bayesian panel VAR model," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 92-102.
    300. Ravi Kashyap, 2024. "The Blockchain Risk Parity Line: Moving From The Efficient Frontier To The Final Frontier Of Investments," Papers 2407.09536, arXiv.org.
    301. Xidonas, Panos & Doukas, Haris & Hassapis, Christis, 2021. "Grouped data, investment committees & multicriteria portfolio selection," Journal of Business Research, Elsevier, vol. 129(C), pages 205-222.
    302. Yue-Jun Zhang & Han Zhang & Rangan Gupta, 2023. "A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    303. Yin, Anwen, 2019. "Out-of-sample equity premium prediction in the presence of structural breaks," International Review of Financial Analysis, Elsevier, vol. 65(C).
    304. Spierdijk, Laura & Umar, Zaghum, 2014. "Stocks for the long run? Evidence from emerging markets," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 217-238.
    305. Cordeiro, Werley & Caldeira, João F. & Moura, Guilherme V., 2025. "Forecasting the Brazilian yield curve using macroeconomics expectations and time-varying volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 104(C).
    306. Møller, Stig V. & Sander, Magnus, 2017. "Dividends, earnings, and predictability," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 153-163.
    307. Jonas Nygaard Eriksen, 2015. "Expected Business Conditions and Bond Risk Premia," CREATES Research Papers 2015-44, Department of Economics and Business Economics, Aarhus University.
    308. Yu, Deshui & Huang, Difang & Zhou, Mingtao, 2025. "Option-implied idiosyncratic skewness and expected returns: Mind the long run," Journal of Empirical Finance, Elsevier, vol. 83(C).
    309. Zhang, Yaojie & Ma, Feng & Zhu, Bo, 2019. "Intraday momentum and stock return predictability: Evidence from China," Economic Modelling, Elsevier, vol. 76(C), pages 319-329.
    310. Mehmet Balcilar & Deven Bathia & Riza Demirer & Rangan Gupta, 2017. "Credit Ratings and Predictability of Stock Returns and Volatility of the BRICS and the PIIGS: Evidence from a Nonparametric Causality-in-Quantiles Approach," Working Papers 201719, University of Pretoria, Department of Economics.
    311. Zhang, Xincheng, 2024. "Country-level energy-related uncertainties and stock market returns: Insights from the U.S. and China," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    312. Dong, Dairui & Hua, Xia & Wang, Binxu, 2025. "The short-term predictability pockets in China," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    313. Andreas Gruener & Christian Finke, 2018. "Lead-Lag Relationships in International Stock Markets Revisited: Are They Exploitable?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 8-30, January.
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