Does Revenue Momentum Drive or Ride Earnings or Price Momentum?
In: HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING
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- Chen, Hong-Yi & Chen, Sheng-Syan & Hsin, Chin-Wen & Lee, Cheng-Few, 2014. "Does revenue momentum drive or ride earnings or price momentum?," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 166-185.
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Citations
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Cited by:
- Zi-Mei Wang & Donald Lien, 2022. "Is maximum daily return a lottery? Evidence from monthly revenue announcements," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 545-600, August.
- Chen, Hong-Yi & Yang, Sharon S., 2020. "Do Investors exaggerate corporate ESG information? Evidence of the ESG momentum effect in the Taiwanese market," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
- Lin, Mei-Chen, 2023. "Time-varying MAX preference: Evidence from revenue announcements," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
- Hong-Yi Chen & Cheng Few Lee & Wei-Kang Shih, 2020.
"Technical, Fundamental, and Combined Information for Separating Winners from Losers,"
World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 95, pages 3319-3365,
World Scientific Publishing Co. Pte. Ltd..
- Chen, Hong-Yi & Lee, Cheng-Few & Shih, Wei K., 2016. "Technical, fundamental, and combined information for separating winners from losers," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 224-242.
- Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.
- Jiong Gong & Ping Jiang & Shu Tian, 2016. "Contractual mutual fund governance: the case of China," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 543-567, April.
- KiHoon Jimmy Hong & Eliza Wu, 2014. "Can Momentum Factors Be Used to Enhance Accounting Information based Fundamental Analysis in Explaining Stock Price Movements?," Research Paper Series 346, Quantitative Finance Research Centre, University of Technology, Sydney.
- repec:grz:wpsses:2020-04 is not listed on IDEAS
- Chen, Hong-Yi & Hsieh, Chia-Hsun & Lee, Cheng-Few, 2023. "Revisiting the momentum effect in Taiwan: The role of persistency," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
- Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
- Tarunika Jain Agrawal & Sanjay Sehgal & Vibhuti Vasishth, 2020. "Firm Attributes, Corporate Fundamentals and Investment Strategies: An Empirical Study for Indian Stock Market," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(3), pages 366-387, August.
- Hong‐Yi Chen & Pin‐Huang Chou & Chia‐Hsun Hsieh, 2018. "Persistency of the momentum effect," European Financial Management, European Financial Management Association, vol. 24(5), pages 856-892, November.
- Ramzi Boussaidi & Majed Ibrahim AlSaggaf, 2024. "Post-Earnings Announcement Drift, Momentum, and Contrarian Strategies in the Saudi Stock Market: Risk Explanation vs. Behavioral Explanation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13622-13653, September.
- Jiayu Huang & Yifan Wang & Yaojun Fan & Hexuan Li, 2022. "Gauging the effect of investor overconfidence on trading volume from the perspective of the relationship between lagged stock returns and current trading volume," International Finance, Wiley Blackwell, vol. 25(1), pages 103-123, April.
- Jiaqi Guo & Peng Li & Youwei Li, 2022. "What Can Explain Momentum? Evidence from Decomposition," Management Science, INFORMS, vol. 68(8), pages 6184-6218, August.
- Schnaubelt, Matthias & Seifert, Oleg, 2020. "Valuation ratios, surprises, uncertainty or sentiment: How does financial machine learning predict returns from earnings announcements?," FAU Discussion Papers in Economics 04/2020, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
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More about this item
Keywords
Financial Econometrics; Financial Mathematics; Financial Statistics; Financial Technology; Machine Learning; Covariance Regression; Cluster Effect; Option Bound; Dynamic Capital Budgeting; Big Data;All these keywords.
JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
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