Volatility Dynamics of Wavelet-Filtered Stock Prices

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dc.creatorDremin, I. M.
dc.creatorLeonidov, A. V.
dc.date2006-12-18
dc.date.accessioned2026-07-07T12:07:55Z
dc.date.available2026-07-07T12:07:55Z
dc.descriptionVolatility 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.
dc.identifierhttps://arxiv.org/abs/physics/0612170
dc.identifierhttp://arxiv.org/abs/physics/0612170
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/209139
dc.subjectPhysics and Society
dc.subjectStatistical Finance
dc.titleVolatility Dynamics of Wavelet-Filtered Stock Prices
dc.typetext

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