Improving the Estimation Accuracy Based on Wavelet Transform

Abdallah Abu Abdallah, Mousa Mohammad Abdullah Saleh, Sadam Al-Wadi and Firas Al Rawashdeh
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Abdallah Abu Abdallah: School of Administration and Finance, The University of Jordan, Jordan
Mousa Mohammad Abdullah Saleh: Department of Financial and Administrative Sciences, Al-Balqa Applied University, Jordan
Sadam Al-Wadi: Department of Risk Management and Insurance. The University of Jordan, Jordan
Firas Al Rawashdeh: Department of Risk Management and Insurance. The University of Jordan, Jordan

Journal of Social Sciences (COES&RJ-JSS), 2019, vol. 8, issue 4, 544-557

Abstract: This article aims to improving and drawing inferences about population characteristic estimation, some of mathematical methods were used in content of stock market data are collected from Amman stock exchange (ASE) using three methods; point, interval estimation and Wavelet transform (WT) combined with interval estimation. Point estimate can be ambiguous because it may or may not be close to the number actuality estimated. Themethodology is to compare between the point and interval estimations then the estimation has improved by combining WT with theinterval estimation in order to reduce the error. The results show that (WT) with interval estimation is the best method, (SPSS) and mat lab 2010a have used in this study.

Keywords: Confidence interval; point estimations; interval estimations; Wavelet transform; Amman stock exchange (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:jso:coejss:v:8:y:2019:i:4:p:544-557

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