How wacky is the DAX? The changing structure of German stock market volatility
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Cited by:
- Leonardo Quero Virla, 2023. "An empirical characterization of volatility in the German stock market," SN Business & Economics, Springer, vol. 3(7), pages 1-19, July.
- Cizek, P. & Haerdle, W. & Spokoiny, V., 2007.
"Adaptive Pointwise Estimation in Time-Inhomogeneous Time-Series Models,"
Other publications TiSEM
a797e4a8-12cf-4ac5-9fae-b, Tilburg University, School of Economics and Management.
- Čížek, Pavel & Härdle, Wolfgang Karl & Spokoiny, Vladimir, 2008. "Adaptive pointwise estimation in time-inhomogeneous time-series models," SFB 649 Discussion Papers 2008-002, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Cizek, P. & Haerdle, W. & Spokoiny, V., 2007. "Adaptive Pointwise Estimation in Time-Inhomogeneous Time-Series Models," Discussion Paper 2007-35, Tilburg University, Center for Economic Research.
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- Virla, Leonardo Quero, 2021. "An empirical characterization of volatility dynamics in the DAX," IPE Working Papers 167/2021, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
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More about this item
Keywords
market and idiosyncratic volatility; test on break in volatility dynamics; institutional ownership;All these keywords.
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
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