Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model

The achievement of profits when trading on the stock markets is conditioned by a quality analytical forecast of the development of stock prices in the coming period. This research attempts to compare the results of the ARIMA model and the ARIMA-GARCH model to forecast the development of stock price...

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Main Authors: Alžběta Zíková, Jitka Veselá
Format: Article
Language:English
Published: Czech Statistical Office 2023-09-01
Series:Statistika: Statistics and Economy Journal
Subjects:
Online Access:https://www.czso.cz/documents/10180/192164332/32019723q3_zikova_analyses.pdf/c9495a5f-b66d-4f69-bb7e-8d020ec4c67d?version=1.1
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author Alžběta Zíková
Jitka Veselá
author_facet Alžběta Zíková
Jitka Veselá
author_sort Alžběta Zíková
collection DOAJ
description The achievement of profits when trading on the stock markets is conditioned by a quality analytical forecast of the development of stock prices in the coming period. This research attempts to compare the results of the ARIMA model and the ARIMA-GARCH model to forecast the development of stock prices on a sample of selected stocks from the Czech, German, Austrian, Polish and British markets. The 4 most liquid titles from each of the above-mentioned markets were selected for the sample of analyzed stocks. Available daily closing stock price data, mostly from the period 2000–2022, were used for the analysis. Research has shown that for most of the analyzed titles, it is more appropriate to use the ARIMA-GARCH model, which better captures variability for this data than just the ARIMA model. The quality of the selected model is evaluated by autocorrelation, heteroskedasticity tests, and Theil´s inequality coefficient.
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spelling doaj.art-639c5d215e4745059bed291c1be61be52023-09-19T10:39:36ZengCzech Statistical OfficeStatistika: Statistics and Economy Journal0322-788X1804-87652023-09-01103334235410.54694/stat.2023.4Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH ModelAlžběta Zíková0Jitka Veselá1Prague University of Economics and Business, Prague, Czech RepublicPrague University of Economics and Business, Prague, Czech RepublicThe achievement of profits when trading on the stock markets is conditioned by a quality analytical forecast of the development of stock prices in the coming period. This research attempts to compare the results of the ARIMA model and the ARIMA-GARCH model to forecast the development of stock prices on a sample of selected stocks from the Czech, German, Austrian, Polish and British markets. The 4 most liquid titles from each of the above-mentioned markets were selected for the sample of analyzed stocks. Available daily closing stock price data, mostly from the period 2000–2022, were used for the analysis. Research has shown that for most of the analyzed titles, it is more appropriate to use the ARIMA-GARCH model, which better captures variability for this data than just the ARIMA model. The quality of the selected model is evaluated by autocorrelation, heteroskedasticity tests, and Theil´s inequality coefficient.https://www.czso.cz/documents/10180/192164332/32019723q3_zikova_analyses.pdf/c9495a5f-b66d-4f69-bb7e-8d020ec4c67d?version=1.1arimagarchstock price predictiontime series
spellingShingle Alžběta Zíková
Jitka Veselá
Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model
Statistika: Statistics and Economy Journal
arima
garch
stock price prediction
time series
title Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model
title_full Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model
title_fullStr Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model
title_full_unstemmed Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model
title_short Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model
title_sort forecasting analysis of stock prices on european markets using the arima garch model
topic arima
garch
stock price prediction
time series
url https://www.czso.cz/documents/10180/192164332/32019723q3_zikova_analyses.pdf/c9495a5f-b66d-4f69-bb7e-8d020ec4c67d?version=1.1
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