• COMPARISON OF DIFFERENT WAVELET-BASED STATISTICAL METHODS IN BANKING SECTOR
Abstract
The paper proposes different wavelet-based forecasting techniques for time series. We investigate the stock forecast of two leading banks from the Indian banking sector through these wavelet-based approaches and make a comparison of the techniques for the data. The proposed prediction approach consists of the combination of the wavelet transform and various statistical methods. This approach is applied on the two types of real banking data series: SBI and ICICI
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