Recently, maximum overlap discrete wavelet transform (MODWT) has gained very high attention in many fields and applications such as finance, engineering, signal processing, applied mathematics and statistics. In this paper, we present the advantages of MODWT in analyzing financial time series data and extend the working done by [13]. Amman stock exchange (ASE) from Jordan was selected as a tool to show the ability of MODWT in detecting the fluctuations in the banking sector in ASE. Finally, the claim is that MODWT is better than wavelet transform (WT) in the analysis processes has approved in content of ASE.

fluctuations, WT, MODWT, banking data, ASE.