Dynamic trading volume and stock return relation: Does it hold out of sample?
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DOI: 10.1016/j.irfa.2017.10.003
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- Luo, Dan & Mao, Yipeng, 2021. "Fundamental volatility and informative trading volume in a rational expectations equilibrium," Economic Modelling, Elsevier, vol. 105(C).
- Karthigai Prakasam Chellaswamy & Natchimuthu N & Muhammadriyaj Faniband, 2021. "Stock Market Reforms and Stock Market Performance," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(2), pages 202-209, April.
- Madhavi Latha Challa & Venkataramanaiah Malepati & Siva Nageswara Rao Kolusu, 2020. "S&P BSE Sensex and S&P BSE IT return forecasting using ARIMA," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-19, December.
- Daouda Lawa tan Toe & Salifou Ouedraogo, 2022. "Dynamic relationship between trading volume, returns and returns volatility: an empirical investigation on the main African’s stock markets," Journal of Asset Management, Palgrave Macmillan, vol. 23(5), pages 429-444, September.
- Kobana Abukari & Tov Assogbavi, 2019. "Price-Volume Granger Causality Tests in the Egyptian Stock Exchange (EGX)," Accounting and Finance Research, Sciedu Press, vol. 8(3), pages 1-48, August.
- 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.
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More about this item
Keywords
Volume-return relation; Out-of-sample regression; High volume return premium;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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