Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach
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Other versions of this item:
- Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2014. "Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach," CQE Working Papers 3514, Center for Quantitative Economics (CQE), University of Muenster.
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Cited by:
- Bohl, Martin T. & Reher, Gerrit & Wilfling, Bernd, 2016.
"Short selling constraints and stock returns volatility: Empirical evidence from the German stock market,"
Economic Modelling, Elsevier, vol. 58(C), pages 159-166.
- Martin T. Bohl & Gerrit Reher & Bernd Wilfling, 2016. "Short selling constraints and stock returns volatility: empirical evidence from the German stock market," CQE Working Papers 4516, Center for Quantitative Economics (CQE), University of Muenster.
- Patel, Harihar & Guidi, Francesco, 2024. "The effect of the 2008–09 short selling sales ban on UK security equities in relation to market metrics of volatility, liquidity, and price discovery," Research in International Business and Finance, Elsevier, vol. 70(PA).
- Shen, Zhiwei & Ritter, Matthias, 2016.
"Forecasting volatility of wind power production,"
Applied Energy, Elsevier, vol. 176(C), pages 295-308.
- Shen, Zhiwei & Ritter, Matthias, 2015. "Forecasting volatility of wind power production," SFB 649 Discussion Papers 2015-026, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Xie, Xiaoyu & Zhu, Heliang, 2021. "The role of gold futures in mitigating the impact of economic uncertainty on spot prices: Evidence from China," Research in International Business and Finance, Elsevier, vol. 56(C).
- Lu, Fei & Ma, Feng & Bouri, Elie & Liao, Yin, 2024. "Do commodity futures have a steering effect on the spot stock market in China? New evidence from volatility forecasting," International Review of Financial Analysis, Elsevier, vol. 94(C).
- Sui, Cong & Lung, Peter & Yang, Mo, 2021. "Index option trading and equity volatility: Evidence from the SSE 50 and CSI 500 stocks," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 60-75.
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JEL classification:
- 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
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G20 - Financial Economics - - Financial Institutions and Services - - - General
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