Relationships between Trading Volume, Stock Returns and Volatility: Evidence from the French Stock Market
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Other versions of this item:
- Anthony Miloudi & Mondher Bouattour & Ramzi Benkraiem, 2016. "Relationships between Trading Volume, Stock Returns and Volatility: Evidence from the French Stock Market," Bankers, Markets & Investors, ESKA Publishing, issue 144, pages 44-58, September.
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Cited by:
- Olkhov, Victor, 2020.
"Volatility Depend on Market Trades and Macro Theory,"
MPRA Paper
102434, University Library of Munich, Germany.
- Victor Olkhov, 2020. "Volatility Depends on Market Trades and Macro Theory," Papers 2008.07907, arXiv.org, revised Jun 2024.
- Nidhal Mgadmi & Khemaies Bougatef, 2017. "Modeling volatility of the French stock market," Economics Bulletin, AccessEcon, vol. 37(2), pages 988-998.
- Olkhov, Victor, 2020.
"Price, Volatility and the Second-Order Economic Theory,"
MPRA Paper
102767, University Library of Munich, Germany.
- Victor Olkhov, 2020. "Price, Volatility and the Second-Order Economic Theory," Papers 2009.14278, arXiv.org, revised Apr 2021.
- Andrey Kudryavtsev, 2019. "The Effect Of Trading Volumes On Stock Returns Following Large Price Moves," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(220), pages 85-116, January –.
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Keywords
Turnover; Stock market returns; VAR analysis; Granger causality test; Impulse response functions.;All these keywords.
JEL classification:
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
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