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Kalman filter, to model structural changes in the context of widely used concepts in finance.The presented material will be …
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By means of wavelet transform a time series can be decomposed into a time dependent sum of frequency components. As a result we are able to capture seasonalities with time-varying period and intensity, which nourishes the belief that incorporating the wavelet transform in existing forecasting...
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