Fractality of Borsa Istanbul during the COVID-19 Pandemic
Forecasting price changes is very important for the process of estimating and managing market risk in financial markets. Price changes in financial markets may also depend on non-market factors. Considering this situation, the study investigates the effect of the COVID-19 pandemic on Borsa Istanbul....
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Format: | Article |
Language: | English |
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MDPI AG
2022-07-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/10/14/2503 |
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author | Mehmet Ali Balcı Larissa M. Batrancea Ömer Akgüller Lucian Gaban Mircea-Iosif Rus Horia Tulai |
author_facet | Mehmet Ali Balcı Larissa M. Batrancea Ömer Akgüller Lucian Gaban Mircea-Iosif Rus Horia Tulai |
author_sort | Mehmet Ali Balcı |
collection | DOAJ |
description | Forecasting price changes is very important for the process of estimating and managing market risk in financial markets. Price changes in financial markets may also depend on non-market factors. Considering this situation, the study investigates the effect of the COVID-19 pandemic on Borsa Istanbul. It tackles changes in the fractal dimensions of the time series obtained with the daily closing prices of stocks traded on Borsa Istanbul (BIST). According to the results of the sector-based analysis, we found that fractal dimension changes were quite effective in price estimation. |
first_indexed | 2024-03-09T13:25:18Z |
format | Article |
id | doaj.art-5e426320f968485eaaad2c9de44dc25e |
institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-09T13:25:18Z |
publishDate | 2022-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
spelling | doaj.art-5e426320f968485eaaad2c9de44dc25e2023-11-30T21:24:14ZengMDPI AGMathematics2227-73902022-07-011014250310.3390/math10142503Fractality of Borsa Istanbul during the COVID-19 PandemicMehmet Ali Balcı0Larissa M. Batrancea1Ömer Akgüller2Lucian Gaban3Mircea-Iosif Rus4Horia Tulai5Department of Mathematics, Muğla Sıtkı Koçman University, Muğla 48000, TurkeyDepartment of Business, Babeş-Bolyai University, 7 Horea Street, 400174 Cluj-Napoca, RomaniaDepartment of Mathematics, Muğla Sıtkı Koçman University, Muğla 48000, TurkeyFaculty of Economics, “1 Decembrie 1918” University of Alba Iulia, 15–17 Unirii Street, 510009 Alba Iulia, RomaniaNational Institute for Research and Development in Constructions, Urbanism and Sustainable Spatial Development “URBAN INCERC”, 117 Calea Floresti, 400524 Cluj-Napoca, RomaniaDepartment of Economics and Business Administration, Babeş-Bolyai University, 58–60 Teodor Mihali Street, 400591 Cluj-Napoca, RomaniaForecasting price changes is very important for the process of estimating and managing market risk in financial markets. Price changes in financial markets may also depend on non-market factors. Considering this situation, the study investigates the effect of the COVID-19 pandemic on Borsa Istanbul. It tackles changes in the fractal dimensions of the time series obtained with the daily closing prices of stocks traded on Borsa Istanbul (BIST). According to the results of the sector-based analysis, we found that fractal dimension changes were quite effective in price estimation.https://www.mdpi.com/2227-7390/10/14/2503fractal dimensiontime series analysisfinancial markets |
spellingShingle | Mehmet Ali Balcı Larissa M. Batrancea Ömer Akgüller Lucian Gaban Mircea-Iosif Rus Horia Tulai Fractality of Borsa Istanbul during the COVID-19 Pandemic Mathematics fractal dimension time series analysis financial markets |
title | Fractality of Borsa Istanbul during the COVID-19 Pandemic |
title_full | Fractality of Borsa Istanbul during the COVID-19 Pandemic |
title_fullStr | Fractality of Borsa Istanbul during the COVID-19 Pandemic |
title_full_unstemmed | Fractality of Borsa Istanbul during the COVID-19 Pandemic |
title_short | Fractality of Borsa Istanbul during the COVID-19 Pandemic |
title_sort | fractality of borsa istanbul during the covid 19 pandemic |
topic | fractal dimension time series analysis financial markets |
url | https://www.mdpi.com/2227-7390/10/14/2503 |
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