Kalman Filter and Financial Time Series Analysis

Author(s):  
M. P. Rajan ◽  
Jimson Mathew
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 16777-16786 ◽  
Author(s):  
Paponpat Taveeapiradeecharoen ◽  
Kosin Chamnongthai ◽  
Nattapol Aunsri

Author(s):  
ARMANDO CIANCIO

A financial time series analysis method based on the theory of wavelets is proposed. It is based on the transformation of data of the series in the corresponding wavelet coefficients and in the analysis of the latter, which represent the local characteristics of the series better. In particular, an algorithm for short term previsions is defined.


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