Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods

Ghada A. Altarawneh, Ahmad B. Hassanat, Ahmad S. Tarawneh, Ahmad Abadleh, Malek Alrashidi and Mansoor Alghamdi
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Ghada A. Altarawneh: Accounting Department, Mutah University, Mutah 6171, Jordan
Ahmad B. Hassanat: Faculty of Information Technology, Mutah University, Mutah 6171, Jordan
Ahmad S. Tarawneh: Faculty of Informatics, ELTE University, 1117 Budapest, Hungary
Ahmad Abadleh: Faculty of Information Technology, Mutah University, Mutah 6171, Jordan
Malek Alrashidi: Computer Science Department, Community College, University of Tabuk, Tabuk 71491, Saudi Arabia
Mansoor Alghamdi: Computer Science Department, Community College, University of Tabuk, Tabuk 71491, Saudi Arabia

Economies, 2022, vol. 10, issue 2, 1-18

Abstract: One of the most difficult problems analysts and decision-makers may face is how to improve the forecasting and predicting of financial time series. However, several efforts were made to develop more accurate and reliable forecasting methods. The main purpose of this study is to use technical analysis methods to forecast Jordanian insurance companies and accordingly examine their performance during the COVID-19 pandemic. Several experiments were conducted on the daily stock prices of ten insurance companies, collected by the Amman Stock Exchange, to evaluate the selected technical analysis methods. The experimental results show that the non-parametric Exponential Decay Weighted Average (EDWA) has higher forecasting capabilities than some of the more popular forecasting strategies, such as Simple Moving Average, Weighted Moving Average, and Exponential Smoothing. As a result, we show that using EDWA to forecast the share price of insurance companies in Jordan is good practice. From a technical analysis perspective, our research also shows that the pandemic had different effects on different Jordanian insurance companies.

Keywords: financial time series forecasting; stock markets; forecasting methods; technical analysis (search for similar items in EconPapers)
JEL-codes: E F I J O Q (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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