Far East Journal of Applied Mathematics © 2013 Pushpa Publishing House, Allahabad, India Published Online: January 2014 Available online at http://pphmj.com/journals/fjam.htm Volume 84, Number 1, 2013, Pages 1-10 Received: July 5, 2013; Revised: September 19, 2013; Accepted: September 25, 2013 2010 Mathematics Subject Classification: 42C40. Keywords and phrases: fluctuations, WT, MODWT, banking data, ASE. MAXIMUM OVERLAP DISCRETE WAVELET METHODS IN MODELING BANKING DATA S. Al Wadi a , Faisal Ababneh a , Hazem Alwadi b and Mohd Tahir Ismail c a Department of Mathematics Faculty of Science Al Hussien bin Talal University Ma’an, Jordan e-mail: sadam_alwadi@yahoo.co.uk fmababneh@gmail.com b Department of Social Sciences Faculty of Science Jordan University of Science and Technology Irbid, Jordan e-mail: hazemalwadi@yahoo.com c School of Mathematical Science Universiti Sains Malaysia 11800 Minden, Penang, Malaysia e-mail: mtahir@cs.usm.my Abstract 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