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Market intraday momentum

Citations

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Cited by:

  1. Xu, Dezhong & Li, Bin & Singh, Tarlok & Chen, Xiaoyue & Li, Jinze, 2025. "Cross-market overnight time-series momentum," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 105(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. Limkriangkrai, Manapon & Chai, Daniel & Zheng, Gaoping, 2023. "Market intraday momentum: APAC evidence," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
  4. André Betzer & Jan Philipp Harries, 2022. "How online discussion board activity affects stock trading: the case of GameStop," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 443-472, December.
  5. Ho, Tu & Lv, Jin Roc & Schultz, Emma, 2021. "Market intraday momentum in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
  6. Wang, Jinghua & Ngene, Geoffrey M., 2020. "Does Bitcoin still own the dominant power? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
  7. 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).
  8. Eross, Andrea & McGroarty, Frank & Urquhart, Andrew & Wolfe, Simon, 2019. "The intraday dynamics of bitcoin," Research in International Business and Finance, Elsevier, vol. 49(C), pages 71-81.
  9. Saketh Aleti & Tim Bollerslev & Mathias Siggaard, 2025. "Intraday Market Return Predictability Culled from the Factor Zoo," Management Science, INFORMS, vol. 71(9), pages 7731-7751, September.
  10. 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.
  11. 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).
  12. Billio, Monica & Lo, Andrew W. & Pelizzon, Loriana & Getmansky, Mila & Zareei, Abalfazl, 2021. "Global realignment in financial market dynamics: Evidence from ETF networks," SAFE Working Paper Series 304, Leibniz Institute for Financial Research SAFE.
  13. Kallinterakis, Vasileios & Karaa, Rabaa, 2023. "From dusk till dawn (and vice versa): Overnight-versus-daytime reversals and feedback trading," International Review of Financial Analysis, Elsevier, vol. 85(C).
  14. Chu, Xiaojun & Gu, Zherong & Zhou, Haigang, 2019. "Intraday momentum and reversal in Chinese stock market," Finance Research Letters, Elsevier, vol. 30(C), pages 83-88.
  15. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
  16. I. Marta Miranda García & María‐Jesús Segovia‐Vargas & Usue Mori & José A. Lozano, 2023. "Early prediction of Ibex 35 movements," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1150-1166, August.
  17. 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).
  18. 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).
  19. Hollstein, Fabian & Wese Simen, Chardin, 2020. "Variance risk: A bird’s eye view," Journal of Econometrics, Elsevier, vol. 215(2), pages 517-535.
  20. Ikhlaas Gurrib & Firuz Kamalov & Elgilani E. Alshareif, 2022. "High Frequency Return and Risk Patterns in U.S. Sector ETFs during COVID-19," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 441-456, September.
  21. Wen, Zhuzhu & Bouri, Elie & Xu, Yahua & Zhao, Yang, 2022. "Intraday return predictability in the cryptocurrency markets: Momentum, reversal, or both," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  22. Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2019. "Overnight momentum, informational shocks, and late informed trading in China," International Review of Financial Analysis, Elsevier, vol. 66(C).
  23. Zhang, Wei & Wang, Pengfei & Li, Yi, 2021. "Bond intraday momentum," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
  24. 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.
  25. Yu, Dan & Chen, Chuang & Wang, Yudong & Zhang, Yaojie, 2023. "Hedging pressure momentum and the predictability of oil futures returns," Economic Modelling, Elsevier, vol. 121(C).
  26. Kang, Junqing & Lin, Shen & Xiong, Xiong, 2022. "What drives intraday reversal? illiquidity or liquidity oversupply?," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
  27. Narayan, Paresh Kumar & Bannigidadmath, Deepa & Narayan, Seema, 2021. "How much does economic news influence bilateral exchange rates?," Journal of International Money and Finance, Elsevier, vol. 115(C).
  28. Yongsheng Yi & Feng Ma & Dengshi Huang & Yaojie Zhang, 2019. "Interest rate level and stock return predictability," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 506-522, October.
  29. Gao, Ya & Guo, Bin & Xiong, Xiong, 2021. "Signed momentum in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
  30. Mengxi He & Xianfeng Hao & Yaojie Zhang & Fanyi Meng, 2021. "Forecasting stock return volatility using a robust regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1463-1478, December.
  31. Mathias Mesfin, 2026. "Structural Limits of OHLCV-Based Intraday Signals in MNQ Futures: A Systematic Falsification Study," Papers 2605.04004, arXiv.org.
  32. Wang, Deqing & Lu, Zhihao & Liu, Zhenhua & Xue, Shoucong & Guo, Mengxia & Hou, Yiwen, 2026. "A functional mixture prediction model for dynamically forecasting cumulative intraday returns of crude oil futures," International Journal of Forecasting, Elsevier, vol. 42(1), pages 158-180.
  33. Adnan Ahmed Siddiqui & Arun Kumar Misra, 2025. "Intraday overreaction and underreaction: profitability analysis and factor explanations," Journal of Asset Management, Palgrave Macmillan, vol. 26(5), pages 523-534, September.
  34. He, Mengxi & Wen, Danyan & Xing, Lu & Zhang, Yaojie, 2024. "Industry volatility concentration and the predictability of aggregate stock market volatility," International Review of Economics & Finance, Elsevier, vol. 95(C).
  35. Mathias Mesfin, 2026. "A Validated Volatility-Volume-Gap Classifier for Regime Identification in MNQ Intraday Data," Papers 2605.11423, arXiv.org.
  36. Gajurel, Dinesh & Chowdhury, Biplob, 2020. "Realized volatility, jump and beta: evidence from Canadian stock market," Working Papers 2020-11, University of Tasmania, Tasmanian School of Business and Economics.
  37. Jinyoung Yu & Young‐Chul Kim & Doojin Ryu, 2024. "Left‐digit biases: Individual and institutional investors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 518-532, March.
  38. Xiaoyue Chen & Bin Li & Andrew C. Worthington, 2022. "Realised volatility and industry momentum returns," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
  39. 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.
  40. 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.
  41. Li, Yi & Shen, Dehua & Wang, Pengfei & Zhang, Wei, 2020. "Does intraday time-series momentum exist in Chinese stock index futures market?," Finance Research Letters, Elsevier, vol. 35(C).
  42. He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021. "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, vol. 97(C).
  43. 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).
  44. Yongan Xu & Jianqiong Wang & Zhonglu Chen & Chao Liang, 2023. "Sentiment indices and stock returns: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1063-1080, January.
  45. Chen, Jian & Haboub, Ahmad & Khan, Ali, 2024. "Limits of arbitrage and their impact on market efficiency: Evidence from China," Global Finance Journal, Elsevier, vol. 59(C).
  46. Dai, Zhifeng & Zhu, Huan, 2020. "Stock return predictability from a mixed model perspective," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
  47. Onishchenko, Olena & Zhao, Jing & Kuruppuarachchi, Duminda & Roberts, Helen, 2021. "Intraday time-series momentum and investor trading behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
  48. Zhang, Yaojie & Wei, Yu & Ma, Feng & Yi, Yongsheng, 2019. "Economic constraints and stock return predictability: A new approach," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 1-9.
  49. Yufei Li & Liudas Giraitis & Genaro Sucarrat, 2024. "Are Intraday Returns Autocorrelated?," Working Papers 987, Queen Mary University of London, School of Economics and Finance.
  50. Bangsgaard, Christine & Kokholm, Thomas, 2025. "The stock market impact of volatility hedging: Evidence from end-of-day trading by VIX ETPs," Journal of Banking & Finance, Elsevier, vol. 180(C).
  51. 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).
  52. Huang, Hong-Gia & Tsai, Wei-Che & Weng, Pei-Shih & Yang, J. Jimmy, 2023. "Intraday momentum in the VIX futures market," Journal of Banking & Finance, Elsevier, vol. 148(C).
  53. Baltussen, Guido & Da, Zhi & Lammers, Sten & Martens, Martin, 2021. "Hedging demand and market intraday momentum," Journal of Financial Economics, Elsevier, vol. 142(1), pages 377-403.
  54. Yaojie Zhang & Mengxi He & Zhikai Zhang, 2024. "Forecasting stock returns with industry volatility concentration," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2705-2730, November.
  55. Wen, Zhuzhu & Gong, Xu & Ma, Diandian & Xu, Yahua, 2021. "Intraday momentum and return predictability: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 95(C), pages 374-384.
  56. Mengyu Zhang & Thanos Verousis & Iordanis Kalaitzoglou, 2022. "Information and the arrival rate of option trading volume," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 605-644, April.
  57. Paschke, Raphael & Prokopczuk, Marcel & Wese Simen, Chardin, 2020. "Curve momentum," Journal of Banking & Finance, Elsevier, vol. 113(C).
  58. Yafeng Qin & Guoyao Pan & Min Bai, 2020. "Improving market timing of time series momentum in the Chinese stock market," Applied Economics, Taylor & Francis Journals, vol. 52(43), pages 4711-4725, September.
  59. Liu, Wei-han & Xu, Xingfu, 2024. "Forecasting crude oil price: A deep forest ensemble approach," Finance Research Letters, Elsevier, vol. 69(PB).
  60. Ma, Yong & Li, Shuaibing & Liu, Xiaojun, 2025. "Forecasting energy commodity returns: Can weak factors and nonlinearity help?," Economic Modelling, Elsevier, vol. 153(C).
  61. Peress, Joël & Dong, Xi & KANG, NAMHO, 2020. "Fast and Slow Arbitrage: Fund Flows and Mispricing in the Frequency Domain," CEPR Discussion Papers 15235, Centre for Economic Policy Research.
  62. Anagnostidis, Panagiotis & Fontaine, Patrice & Varsakelis, Christos, 2020. "Are high–frequency traders informed?," Economic Modelling, Elsevier, vol. 93(C), pages 365-383.
  63. Kelley Bergsma & Andy Fodor & Vijay Singal & Jitendra Tayal, 2020. "Option trading after the opening bell and intraday stock return predictability," Financial Management, Financial Management Association International, vol. 49(3), pages 769-804, September.
  64. Mitja Steinbacher & Matej Steinbacher & Matjaz Steinbacher, 2025. "Using CNN to Model Stock Prices," Computational Economics, Springer;Society for Computational Economics, vol. 66(6), pages 5299-5340, December.
  65. Jiang, Hao & Li, Sophia Zhengzi & Yuan, Peixuan, 2025. "Granular information and sectoral movements," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
  66. 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.
  67. Jian Chen & Ahmad Haboub & Ali Khan & Syed Mahmud, 2025. "Investor clientele and intraday patterns in the cross section of stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 64(2), pages 757-797, February.
  68. Adrian Zoicas‐Ienciu, 2021. "Evaluating active investing with generic trading reactions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1018-1036, January.
  69. Carlo Rosa, 2022. "Understanding intraday momentum strategies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2218-2234, December.
  70. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
  71. Jongho Kang & Jangkoo Kang & Jaeram Lee, 2022. "Who and what drives informed options trading after the market opens?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 338-364, March.
  72. John Hua Fan & Tingxi Zhang, 2024. "Commodity premia and risk management," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(7), pages 1097-1116, July.
  73. 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.
  74. Ji, Qiang & Zhang, Dayong, 2019. "China’s crude oil futures: Introduction and some stylized facts," Finance Research Letters, Elsevier, vol. 28(C), pages 376-380.
  75. George D. Cashman & David M. Harrison & Hainan Sheng, 2026. "Dynamic Incentives in REIT Option Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 72(1), pages 191-234, January.
  76. Bogousslavsky, Vincent, 2021. "The cross-section of intraday and overnight returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 172-194.
  77. Cakici, Nusret & Zaremba, Adam & Bianchi, Robert J. & Pham, Nga, 2021. "False discoveries in the anomaly research: New insights from the Stock Exchange of Melbourne (1927–1987)," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
  78. Wilkinson, Finn West & Finta, Marinela Adriana & Onishchenko, Olena, 2025. "COVID-19 and investors' trading behavior: Evidence from the New Zealand equity market," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
  79. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
  80. 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.
  81. repec:ags:aaea22:335655 is not listed on IDEAS
  82. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
  83. Jiang, Hao & Li, Sophia Zhengzi & Wang, Hao, 2021. "Pervasive underreaction: Evidence from high-frequency data," Journal of Financial Economics, Elsevier, vol. 141(2), pages 573-599.
  84. Ye, Chuxin & Lv, Jiamin & Xue, Yinsong & Luo, Xingguo, 2023. "Intraday volatility predictability in china gold futures market: The case of last half-hour realized volatility forecasting," Finance Research Letters, Elsevier, vol. 58(PA).
  85. Panagiotis Anagnostidis & Patrice Fontaine & Christos Varsakelis, 2020. "Are high–frequency traders informed?," Post-Print hal-03062831, HAL.
  86. Fung, Scott & Obaid, Khaled & Tsai, Shih-Chuan, 2024. "Information acquisition and processing skills of institutions and retail investors around information shocks," Journal of Empirical Finance, Elsevier, vol. 77(C).
  87. Lijian Wei & Lei Shi, 2020. "Investor Sentiment in an Artificial Limit Order Market," Complexity, Hindawi, vol. 2020, pages 1-10, June.
  88. Yan, Tingjin & Chiu, Mei Choi & Wong, Hoi Ying, 2023. "Portfolio liquidation with delayed information," Economic Modelling, Elsevier, vol. 126(C).
  89. Rui Fan & Oleksandr Talavera & Vu Tran, 2023. "Social media and price discovery: The case of cross‐listed firms," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 151-167, February.
  90. Souropanis, Ioannis & Vivian, Andrew, 2023. "Forecasting realized volatility with wavelet decomposition," Journal of Empirical Finance, Elsevier, vol. 74(C).
  91. Bianchi, Robert J. & Fan, John Hua & Miffre, Joëlle & Zhang, Tingxi, 2023. "Exploiting the dynamics of commodity futures curves," Journal of Banking & Finance, Elsevier, vol. 154(C).
  92. Zhang, Wei & Wang, Pengfei & Li, Yi, 2020. "Intraday momentum in Chinese commodity futures markets," Research in International Business and Finance, Elsevier, vol. 54(C).
  93. Liu, Zechu & Nikitopoulos, Christina Sklibosios & Phua, Kenny & Wang, Jianxin, 2025. "Data-driven monetary policy: Evidence from the Bank of Japan’s equity purchase program," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
  94. 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.
  95. Dan Gabriel Anghel, 2020. "What Can Machine Learning Tell Us About Intraday Price Patterns in a Frontier Stock Market?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(5), pages 205-220, October.
  96. Dmitriy Muravyev & Neil D Pearson & Stijn Van Nieuwerburgh, 2020. "Options Trading Costs Are Lower than You Think," The Review of Financial Studies, Society for Financial Studies, vol. 33(11), pages 4973-5014.
  97. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
  98. David L. Dickinson & Ananish Chaudhuri & Ryan Greenaway-McGrevy, 2020. "Trading while sleepy? Circadian mismatch and mispricing in a global experimental asset market," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 526-553, June.
  99. González-Garrido, A. & Gaztañaga, H. & Saez-de-Ibarra, A. & Milo, A. & Eguia, P., 2020. "Electricity and reserve market bidding strategy including sizing evaluation and a novel renewable complementarity-based centralized control for storage lifetime enhancement," Applied Energy, Elsevier, vol. 262(C).
  100. Hyuna Ham & Hoon Cho & Hyeongjun Kim & Doojin Ryu, 2019. "Time‐series momentum in China's commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1515-1528, December.
  101. Dinesh Gajurel & Biplob Chowdhury, 2021. "Realized Volatility, Jump and Beta: evidence from Canadian Stock Market," Applied Economics, Taylor & Francis Journals, vol. 53(55), pages 6376-6397, November.
  102. 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.
  103. Xu, Yahua & Bouri, Elie & Saeed, Tareq & Wen, Zhuzhu, 2020. "Intraday return predictability: Evidence from commodity ETFs and their related volatility indices," Resources Policy, Elsevier, vol. 69(C).
  104. Zheng, Luyuan & Luo, Xingguo, 2024. "Is there an intraday reversal effect in commodity futures and options? Evidence from the Chinese market," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
  105. Çağlayan-Gümüş, Ayşe & Karahan, Cenk C., 2024. "Information content of the limit order book: A cross-sectional analysis in Borsa Istanbul," Global Finance Journal, Elsevier, vol. 62(C).
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