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Factor analysis with large panels volatility proxies

Ghysels, Eric - 2014

Persistent link: https://www.econbiz.de/10010382083

Trading patterns, time deformation and stochastic volatility in foreign exchange markets

Ghysels, Eric; Gouriéroux, Christian; Jasiak, Joann - 1996

Persistent link: https://www.econbiz.de/10000952887

Sampling frequency and window length trade-offs in data-driven volatility estimation : appraising the accuracy of asymptotic approximations

Andreou, Elena; Ghysels, Eric - 2006

Persistent link: https://www.econbiz.de/10003331375

Price momentum in stocks : insights from Victorian age data

Chabot, Benjamin; Ghysels, Eric; Jagannathan, Ravi - 2008

Persistent link: https://www.econbiz.de/10003791258

Which power variation predicts volatility well?

Ghysels, Eric; Sohn, Bumjean - In: Journal of empirical finance 16 (2009) 4, pp. 686-700

We estimate MIDAS regressions with various (bi)power variations to predict future volatility measured via increments in quadratic variation. Instead of pre-determining the (bi)power variation we parameterize it and estimate the intra-daily return power transformation that optimally predicts...

Persistent link: https://www.econbiz.de/10003900365