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Replicating Anomalies
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Cited by:
- 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).
- Bandi, Federico M. & Chaudhuri, Shomesh E. & Lo, Andrew W. & Tamoni, Andrea, 2021. "Spectral factor models," Journal of Financial Economics, Elsevier, vol. 142(1), pages 214-238.
- Klaus Grobys & James W. Kolari & Jere Rutanen, 2022. "Factor momentum, option-implied volatility scaling, and investor sentiment," Journal of Asset Management, Palgrave Macmillan, vol. 23(2), pages 138-155, March.
- Chiah, Mardy & Long, Huaigang & Zaremba, Adam & Umar, Zaghum, 2023. "Trade competitiveness and the aggregate returns in global stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
- 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).
- 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).
- Luo, Di & Farag, Hisham, 2024. "ESG and aggregate disagreement," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
- 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).
- Cakici, Nusret & Zaremba, Adam, 2023. "Recency bias and the cross-section of international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
- Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
- Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
- Christian Fieberg & Gerrit Liedtke & Daniel Metko & Adam Zaremba, 2023. "Cryptocurrency factor momentum," Quantitative Finance, Taylor & Francis Journals, vol. 23(12), pages 1853-1869, November.
- Mohrschladt, Hannes, 2021. "The ordering of historical returns and the cross-section of subsequent returns," Journal of Banking & Finance, Elsevier, vol. 125(C).
- 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.
- Goto, Shingo & Kalesnik, Vitali, 2022. "Exploiting the persistence in managerial market timing," Finance Research Letters, Elsevier, vol. 46(PB).
- Hsu, Po-Hsuan & Taylor, Mark P. & Wang, Zigan & Li, Yan, 2024.
"The out-of-sample performance of carry trades,"
Journal of International Money and Finance, Elsevier, vol. 143(C).
- Taylor, Mark & Hsu, Po-Hsuan & Wang, Zigan, 2020. "The Out-of-Sample Performance of Carry Trades," CEPR Discussion Papers 15052, C.E.P.R. Discussion Papers.
- Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
- 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.
- Constantinos Kardaras & Hyeng Keun Koo & Johannes Ruf, 2022. "Estimation of growth in fund models," Papers 2208.02573, arXiv.org.
- Narongdech Thakerngkiat & Hung T. Nguyen & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2021. "Do accounting information and market environment matter for cross‐asset predictability?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4389-4434, September.
- Li, Kai, 2021. "Nonlinear effect of sentiment on momentum," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
- EOM, Cheoljun & EOM, Yunsung & PARK, Jong Won, 2024. "Intermediate cross-sectional prospect theory value in stock markets: A novel method," International Review of Financial Analysis, Elsevier, vol. 93(C).
- Sun, Chuanping, 2024. "Factor correlation and the cross section of asset returns: A correlation-robust machine learning approach," Journal of Empirical Finance, Elsevier, vol. 77(C).
- Mamdouh Medhat & Maik Schmeling, 2022.
"Short-term Momentum,"
The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1480-1526.
- Schmeling, Maik & Medhat, Mamdouh, 2021. "Short-term Momentum," CEPR Discussion Papers 15857, C.E.P.R. Discussion Papers.
- Han, Yufeng & Hu, Ou & Huang, Zhaodan, 2023. "A tale of idiosyncratic volatility and illiquidity shocks: Their correlation and effects on stock returns," International Review of Financial Analysis, Elsevier, vol. 86(C).
- Malakhov, Alexey & Riley, Timothy B. & Yan, Qing, 2024. "Do hedge funds bet against beta?," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1507-1525.
- Cakici, Nusret & Zaremba, Adam, 2021. "Who should be afraid of infections? Pandemic exposure and the cross-section of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
- Lee, Kiryoung, 2022. "Which uncertainty measures matter for the cross-section of corporate bond returns? Evidence from the U.S. during 1973–2020," Finance Research Letters, Elsevier, vol. 48(C).
- 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.
- 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).
- Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021, January-A.
- Wang, Jianqiu & Wu, Ke & Tong, Guoshi & Chen, Dongxu, 2023. "Nonlinearity in the cross-section of stock returns: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 174-205.
- 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).
- Nguyen, Hung T. & Pham, Mia Hang, 2021. "Air pollution and behavioral biases: Evidence from stock market anomalies," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
- Zaremba, Adam & Bianchi, Robert J. & Mikutowski, Mateusz, 2021. "Long-run reversal in commodity returns: Insights from seven centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 133(C).
- Andy C W Chui & Avanidhar Subrahmanyam & Sheridan Titman, 2022.
"Momentum, Reversals, and Investor Clientele [Illiquidity and stock returns: Cross-section and time-series effects],"
Review of Finance, European Finance Association, vol. 26(2), pages 217-255.
- Andy C.W. Chui & Avanidhar Subrahmanyam & Sheridan Titman, 2021. "Momentum, Reversals, and Investor Clientele," NBER Working Papers 29453, National Bureau of Economic Research, Inc.
- Choy, Siu Kai & Lewis, Craig & Tan, Yongxian, 2023. "Can the changes in fundamentals explain the attenuation of anomalies?," Journal of Financial Economics, Elsevier, vol. 149(2), pages 142-160.
- Grobys, Klaus, 2023. "Correlation versus co-fractality: Evidence from foreign-exchange-rate variances," International Review of Financial Analysis, Elsevier, vol. 86(C).
- Mbengue, Mohamed Lamine & Ndiaye, Bara & Sy, Oumar, 2023. "Which factors explain African stock returns?," Finance Research Letters, Elsevier, vol. 54(C).
- Hansen, Erwin, 2022. "Economic evaluation of asset pricing models under predictability," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 50-66.
- Islam, Md Shahidul & Alam, Md Samsul & Bin Hasan, Shehub & Mollah, Sabur, 2022. "Firm-level political risk and distance-to-default," Journal of Financial Stability, Elsevier, vol. 63(C).
- Yang, Huan & Cai, Jun & Huang, Lin & Marcus, Alan J., 2021. "Bank stocks, risk factors, and tail behavior," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 203-229.
- Fieberg, Christian & Liedtke, Gerrit & Zaremba, Adam, 2024. "Cryptocurrency anomalies and economic constraints," International Review of Financial Analysis, Elsevier, vol. 94(C).
- Lee, Deok-Hyeon & Min, Byoung-Kyu & Xiao, Yucaho, 2024. "An empirical evaluation of the salience-based asset pricing model: Evidence from Australia," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
- Faccini, Renato & Matin, Rastin & Skiadopoulos, George, 2023. "Dissecting climate risks: Are they reflected in stock prices?," Journal of Banking & Finance, Elsevier, vol. 155(C).
- Julien Pénasse, 2022. "Understanding Alpha Decay," Management Science, INFORMS, vol. 68(5), pages 3966-3973, May.
- Yan, Jingda & Yu, Jialin, 2023. "Cross-stock momentum and factor momentum," Journal of Financial Economics, Elsevier, vol. 150(2).
- Shi, Yongdong & Wang, Haomiao & Xia, Yu & Zhen, Hongxian, 2023. "Mispricing and anomalies in China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
- Harvey, Campbell R. & Liu, Yan, 2021. "Lucky factors," Journal of Financial Economics, Elsevier, vol. 141(2), pages 413-435.
- 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.
- Nettayanun, Sampan, 2023. "Asset pricing in bull and bear markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
- Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2024. "Evaluating asset pricing anomalies: Evidence from Latin America," Research in International Business and Finance, Elsevier, vol. 70(PB).
- Herskovic, Bernard & Kind, Thilo & Kung, Howard, 2023. "Micro uncertainty and asset prices," Journal of Financial Economics, Elsevier, vol. 149(1), pages 27-51.
- Andrew Y. Chen & Alejandro Lopez-Lira & Tom Zimmermann, 2022.
"Does Peer-Reviewed Research Help Predict Stock Returns?,"
Papers
2212.10317, arXiv.org, revised Jun 2024.
- Chen, Andrew Y. & Lopez-Lira, Alejandro & Zimmermann, Tom, 2024. "Does peer-reviewed research help predict stock returns?," CFR Working Papers 24-02, University of Cologne, Centre for Financial Research (CFR).
- Bao, Jack & Hou, Kewei & Zhang, Shaojun, 2023.
"Systematic default and return predictability in the stock and bond markets,"
Journal of Financial Economics, Elsevier, vol. 149(3), pages 349-377.
- Bao, Jack & Hou, Kewei & Zhang, Shaojun A., 2016. "Systemic Default and Return Predictability in the Stock and Bond Markets," Working Paper Series 2016-2, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Bao, Jack & Hou, Kewei & Zhang, Shaojun, 2023. "Systematic Default and Return Predictability in the Stock and Bond Markets," Working Paper Series 2023-13, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Liao, Cunfei & Ma, Tian, 2024. "From fundamental signals to stock volatility: A machine learning approach," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
- Vitor Azevedo & Christopher Hoegner, 2023. "Enhancing stock market anomalies with machine learning," Review of Quantitative Finance and Accounting, Springer, vol. 60(1), pages 195-230, January.
- Berger, Theo, 2023. "Explainable artificial intelligence and economic panel data: A study on volatility spillover along the supply chains," Finance Research Letters, Elsevier, vol. 54(C).
- Dreber, Anna & Johannesson, Magnus, 2023.
"A framework for evaluating reproducibility and replicability in economics,"
Ruhr Economic Papers
1055, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Dreber, Anna & Johannesson, Magnus, 2023. "A framework for evaluating reproducibility and replicability in economics," I4R Discussion Paper Series 38, The Institute for Replication (I4R).
- Bang, Jeongseok & Ryu, Doojin & Webb, Robert I., 2023. "ESG controversy as a potential asset-pricing factor," Finance Research Letters, Elsevier, vol. 58(PA).
- Bang, Jeongseok & Ryu, Doojin, 2024. "ESG factors and the cross-section of expected stock returns: A LASSO-based approach," Finance Research Letters, Elsevier, vol. 65(C).
- Smith, Simon C., 2022. "Time-variation, multiple testing, and the factor zoo," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Hsu, Yen-Ju & Wang, Yanzhi, 2023. "Technology spillover, corporate investment, and stock returns," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 238-250.
- Feng, Guanhao & He, Jingyu, 2022. "Factor investing: A Bayesian hierarchical approach," Journal of Econometrics, Elsevier, vol. 230(1), pages 183-200.
- Du, Kai & Huddart, Steven & Jiang, Xin Daniel, 2023. "Lost in standardization: Effects of financial statement database discrepancies on inference," Journal of Accounting and Economics, Elsevier, vol. 76(1).
- Chen, Zhuo & Li, Pengfei & Wang, Zhengwei & Zhang, Bohui, 2024. "Leveraged trading and stock returns: Evidence from international stock markets," Journal of Financial Markets, Elsevier, vol. 69(C).
- Wang, Nianling & Zhang, Mingzhi & Zhang, Yuan, 2024. "Return prediction: A tree-based conditional sort approach with firm characteristics," Finance Research Letters, Elsevier, vol. 60(C).
- Michaelides, Michael, 2021. "Large sample size bias in empirical finance," Finance Research Letters, Elsevier, vol. 41(C).
- Lee, Charles M.C. & Shi, Terrence Tianshuo & Sun, Stephen Teng & Zhang, Ran, 2024. "Production complementarity and information transmission across industries," Journal of Financial Economics, Elsevier, vol. 155(C).
- Kaplanski, Guy, 2023. "The race to exploit anomalies and the cost of slow trading," Journal of Financial Markets, Elsevier, vol. 62(C).
- Jegadeesh, Narasimhan & Titman, Sheridan, 2023. "Momentum: Evidence and insights 30 years later," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
- Anderson, Warwick & Białkowski, Jędrzej & Wagner, Moritz, 2023. "Midterm elections and stock returns," Finance Research Letters, Elsevier, vol. 55(PA).
- De Nard, Gianluca & Zhao, Zhao, 2022. "A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 654-676.
- Fangming Xu & Huainan Zhao & Liyi Zheng, 2022. "Investment momentum: A two‐dimensional behavioural strategy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1191-1207, January.
- Dissanayake, Ruchith, 2021. "Geographic distribution of firms and expected stock returns," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
- Ergun, Lerby & Molchanov, Alexander & Stork, Philip, 2023. "Technical trading rules, loss avoidance, and the business cycle," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
- Jonathan Fletcher & Elizabeth Littlejohn & Andrew Marshall, 2023. "Exploring the performance of US international bond mutual funds," The Financial Review, Eastern Finance Association, vol. 58(4), pages 765-782, November.
- 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.
- Bianchi, Robert J. & Fan, John Hua & Zhang, Tingxi, 2021. "Investable commodity premia in China," Journal of Banking & Finance, Elsevier, vol. 127(C).
- Cong, Lin William & George, Nathan Darden & Wang, Guojun, 2023.
"RIM-based value premium and factor pricing using value-price divergence,"
Journal of Banking & Finance, Elsevier, vol. 149(C).
- Lin William Cong & Nathan Darden George & Guojun Wang, 2023. "RIM-Based Value Premium and Factor Pricing Using Value-Price Divergence," NBER Working Papers 30967, National Bureau of Economic Research, Inc.
- Gong, Aibo & Ke, Shaowei & Qiu, Yawen & Shen, Rui, 2022. "Robust pricing under strategic trading," Journal of Economic Theory, Elsevier, vol. 199(C).
- Boubaker, Sabri & Li, Bo & Liu, Zhenya & Zhang, Yifan, 2021. "Decomposing anomalies," Economics Letters, Elsevier, vol. 202(C).
- Chai, Daniel & Chiah, Mardy & Zhong, Angel & Li, Bob, 2022. "Another look at sources of momentum profits," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 310-323.
- Chen, Rongxin & Lepori, Gabriele M. & Tai, Chung-Ching & Sung, Ming-Chien, 2022. "Can salience theory explain investor behaviour? Real-world evidence from the cryptocurrency market," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Luo, Di, 2022. "ESG, liquidity, and stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
- Jiang, Fuwei & Ma, Tian & Zhu, Feifei, 2024. "Fundamental characteristics, machine learning, and stock price crash risk," Journal of Financial Markets, Elsevier, vol. 69(C).
- Guo, Xu & Lin, Hai & Wu, Chunchi & Zhou, Guofu, 2022. "Predictive information in corporate bond yields," Journal of Financial Markets, Elsevier, vol. 59(PB).
- 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.
- Vincent, Kendro & Hsu, Yu-Chin & Lin, Hsiou-Wei, 2021. "Investment styles and the multiple testing of cross-sectional stock return predictability," Journal of Financial Markets, Elsevier, vol. 56(C).
- Yin, Libo & Liao, Huiyi, 2021. "Big is brilliant: Understanding the Chinese size effect through profitability shocks," International Review of Financial Analysis, Elsevier, vol. 74(C).
- Cunfei Liao & Guohao Tang & Xiaoying Xu, 2024. "Smart money or chasing stars: Evidence from northbound trading in China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1781-1803, April.
- Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
- Sadok El Ghoul & Omrane Guedhami & Sattar A. Mansi & Oumar Sy, 2023. "Event studies in international finance research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(2), pages 344-364, March.
- Esfandiar Maasoumi & Jianqiu Wang & Zhuo Wang & Ke Wu, 2024. "Identifying factors via automatic debiased machine learning," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 438-461, April.
- Wolfgang Drobetz & Tizian Otto, 2021. "Empirical asset pricing via machine learning: evidence from the European stock market," Journal of Asset Management, Palgrave Macmillan, vol. 22(7), pages 507-538, December.
- Chen, Dongxu & Wu, Ke & Zhu, Yifeng, 2022. "Stock return asymmetry in China," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
- Smith, Simon C. & Timmermann, Allan, 2022. "Have risk premia vanished?," Journal of Financial Economics, Elsevier, vol. 145(2), pages 553-576.
- 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.
- Ahmad, Fawad & Oriani, Raffaele, 2022. "Investor attention, information acquisition, and value premium: A mispricing perspective," International Review of Financial Analysis, Elsevier, vol. 79(C).
- Ma, Tian & Liao, Cunfei & Jiang, Fuwei, 2024. "Factor momentum in the Chinese stock market," Journal of Empirical Finance, Elsevier, vol. 75(C).
- Kim, Junyong, 2024. "Zoom in on momentum," International Review of Financial Analysis, Elsevier, vol. 94(C).
- Liu, Chang & Sun, Peng & Zhu, Dongming, 2023. "Lottery preference, short-sale constraint, and the salience effect: Evidence from China," Economic Modelling, Elsevier, vol. 125(C).
- Tancheva, Z., 2021. "Essays on macro-finance and market anomalies," Other publications TiSEM 3cdb4eb6-0313-4a7a-81c4-2, Tilburg University, School of Economics and Management.
- Lioui, Abraham & Tarelli, Andrea, 2022. "Chasing the ESG factor," Journal of Banking & Finance, Elsevier, vol. 139(C).
- Chen, Jason V., 2023. "The wisdom of crowds and the market's response to earnings news: Evidence using the geographic dispersion of investors," Journal of Accounting and Economics, Elsevier, vol. 75(2).
- Keloharju, Matti & Linnainmaa, Juhani T. & Nyberg, Peter, 2021. "Are return seasonalities due to risk or mispricing?," Journal of Financial Economics, Elsevier, vol. 139(1), pages 138-161.
- Akhtaruzzaman, Md & Boubaker, Sabri & Chiah, Mardy & Zhong, Angel, 2021.
"COVID−19 and oil price risk exposure,"
Finance Research Letters, Elsevier, vol. 42(C).
- Md Akhtaruzzaman & Sabri Boubaker & Mardy Chiah & Angel Zhong, 2021. "COVID−19 and oil price risk exposure," Post-Print hal-04455591, HAL.
- Hollstein, Fabian, 2022. "The world of anomalies: Smaller than we think?," Journal of International Money and Finance, Elsevier, vol. 129(C).
- Song, Jian & Balvers, Ronald J., 2022. "Seasonality and momentum across national equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
- Klaus Grobys, 2021. "When the blockchain does not block: on hackings and uncertainty in the cryptocurrency market," Quantitative Finance, Taylor & Francis Journals, vol. 21(8), pages 1267-1279, August.
- González-Sánchez, Mariano, 2022. "Factorial asset pricing models using statistical anomalies," Research in International Business and Finance, Elsevier, vol. 60(C).
- Wang, Zijun, 2021. "The high volume return premium and economic fundamentals," Journal of Financial Economics, Elsevier, vol. 140(1), pages 325-345.
- Lin, Qi, 2022. "Understanding idiosyncratic momentum in the Chinese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
- I-Cheng Yeh, 2023. "Synergy frontier of multi-factor stock selection model," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 445-480, March.
- Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
- Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
- Chen, Shan & Liu, Xujun & Li, Tao, 2023. "Does the investment-profitability correlation affect the factor premiums? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
- Sabri Boubaker & Bo Li & Zhenya Liu & Yifan Zhang, 2021. "Decomposing anomalies," Post-Print hal-03323669, HAL.
- 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).
- Altieri, Michela & Schnitzler, Jan, 2023. "Quarterly investment spikes, stock returns, and the investment factor," Journal of Financial Markets, Elsevier, vol. 66(C).
- Chue, Timothy K. & Xu, Jin Karen, 2022. "Profitability, asset investment, and aggregate stock returns," Journal of Banking & Finance, Elsevier, vol. 143(C).
- Treepongkaruna, Sirimon & Chan, Kam Fong & Malik, Ihtisham, 2023. "Climate policy uncertainty and the cross-section of stock returns," Finance Research Letters, Elsevier, vol. 55(PA).
- 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).
- Li, Mingyi & Yin, Xiangkang & Zhao, Jing, 2020. "Does program trading contribute to excess comovement of stock returns?," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 257-277.
- Adam Farago & Erik Hjalmarsson, 2023. "Small Rebalanced Portfolios Often Beat the Market over Long Horizons," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 13(2), pages 307-342.
- Grobys, Klaus, 2023. "A Fractal and Comparative View of the Memory of Bitcoin and S&P 500 Returns," Research in International Business and Finance, Elsevier, vol. 66(C).
- Yukun Liu & Aleh Tsyvinski & Xi Wu, 2022. "Common Risk Factors in Cryptocurrency," Journal of Finance, American Finance Association, vol. 77(2), pages 1133-1177, April.
- Pätäri, Eero & Ahmed, Sheraz & Luukka, Pasi & Yeomans, Julian Scott, 2023. "Can monthly-return rank order reveal a hidden dimension of momentum? The post-cost evidence from the U.S. stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
- 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.
- Kwon, Kyung Yoon & Min, Byoung-Kyu & Sun, Chenfei, 2022. "Enhancing the profitability of lottery strategies," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 166-184.
- Prodosh Simlai, 2021. "Accrual mispricing, value-at-risk, and expected stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1487-1517, November.
- Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
- Rubesam, Alexandre, 2022.
"Machine learning portfolios with equal risk contributions: Evidence from the Brazilian market,"
Emerging Markets Review, Elsevier, vol. 51(PB).
- Alexandre Rubesam, 2022. "Machine learning portfolios with equal risk contributions: Evidence from the Brazilian market," Post-Print hal-03707365, HAL.
- Fracasso, Laís Martins & Müller, Fernanda Maria & Ramos, Henrique Pinto & Righi, Marcelo Brutti, 2023. "Is there a risk premium? Evidence from thirteen measures," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 182-199.
- Christophe Pérignon & Olivier Akmansoy & Christophe Hurlin & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johanneson & Michael Kirchler & Albert Menkveld & Michael Razen & Utz Weitzel, 2022. "Reproducibility of Empirical Results: Evidence from 1,000 Tests in Finance," Working Papers hal-03810013, HAL.
- Christopher G. Lamoureux & Huacheng Zhang, 2021. "An Empirical Assessment of Characteristics and Optimal Portfolios," Papers 2104.12975, arXiv.org, revised Feb 2024.
- Konan Chan & Mei‐Xuan Li & Chu‐Bin Lin & Yanzhi Wang, 2022. "Organization capital effect in stock returns—The role of R&D," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(7-8), pages 1237-1263, July.
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