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Volatility Dynamics of Wavelet-Filtered Stock Prices

Volatility dynamics of wavelet - filtered stock price time series is studied. Using the universal thresholding method of wavelet filtering and a principle of minimal linear autocorrelation of noise component we find that the quantitative characteristics of volatility dynamics of denoised series are noticeably different from those of the raw data and the noise.
Year of publication:
2006-12
Authors: Dremin, I. M. ; Leonidov, A. V.
Institutions: arXiv.org
Extent:
application/pdf
Series:
Type of publication: Book / Working Paper
Source:
Persistent link: https://www.econbiz.de/10005084100
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