Description
Title: Using pre-packaged technical analysis techniques, stock price forecasting for Jordanian insurance companies during the COVID-19 pandemic
Abstract: How to improve financial time series forecasting and prediction may be one of the most challenging issues analysts and decision-makers have to deal with. However, numerous initiatives to create more precise and dependable forecasting techniques have been made. The main goal of this study is to forecast Jordanian insurance companies using technical analysis techniques, and then to analyze how well they performed during the COVID-19 pandemic. To assess the chosen technical analysis techniques, a number of experiments were run on the daily stock prices of ten insurance companies that the Amman Stock Exchange had gathered. The experimental findings demonstrate that the non-parametric Exponential Decay Weighted Average (EDWA) outperforms some of the more widely used forecasting techniques, such as Simple Moving Average, Weighted Moving Average, and Exponential Smoothing, in terms of forecasting accuracy. As a result, we demonstrate that it is wise to use EDWA to predict the share price of insurance companies in Jordan. From the standpoint of technical analysis, our study
Keywords: financial time series forecasting; stock markets; forecasting methods; technical analysis
Paper Quality: SCOPUS / Web of Science Level Research Paper
Subject: Economics
Writer Experience: 20+ Years
Plagiarism Report: Turnitin Plagiarism Report will be less than 10%
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