The properties of realized correlation: Evidence from the French, German and Greek equity markets
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Cited by:
- Isao Ishida & Michael McAleer & Kosuke Oya, 2011.
"Estimating the Leverage Parameter of Continuous-time Stochastic Volatility Models Using High Frequency S&P 500 and VIX,"
KIER Working Papers
759, Kyoto University, Institute of Economic Research.
- Isao Ishida & Michael McAleer & Kosuke Oya, 2011. "Estimating the Leverage Parameter of Continuous-time Stochastic Volatility Models Using High Frequency S&P 500 and VIX," Working Papers in Economics 11/11, University of Canterbury, Department of Economics and Finance.
- Isao Ishida & Michael McAleer & Kosuke Oya, 2011. "Estimating the Leverage Parameter of Continuous-time Stochastic Volatility Models Using High Frequency S&P 500 and VIX," Documentos de Trabajo del ICAE 2011-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Nikolaos Sariannidis & Polyxeni Papadopoulou & Evangelos Drimbetas, 2015. "Investigation of the Greek Stock Exchange volatility and the impact of foreign markets from 2007 to 2012," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 8(2), pages 55-68, October.
- Lidan Grossmass, 2014. "Obtaining and Predicting the Bounds of Realized Correlations," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(III), pages 191-226, September.
- Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
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Keywords
DAX CAC40 Athens Stock Exchange Realized correlation Bipower variation Range Optimal sampling Long memory Asymmetry Jumps Heterogeneous autoregressive models;JEL classification:
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