Scaling analysis of time series of daily prices from stock markets of transitional economies in the Western Balkans
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2014
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In this paper we have analyzed scaling properties of time series of stock market indices (SMIs) of developing economies of Western Balkans, and have compared the results we have obtained with the results from more developed economies. We have used three different techniques of data analysis to obtain and verify our findings: detrended fluctuation analysis (DFA) method, detrended moving average (DMA) method, and wavelet transformation (WT) analysis. We have found scaling behavior in all SMI data sets that we have analyzed. The scaling of our SMI series changes from long-range correlated to slightly anti-correlated behavior with the change in growth or maturity of the economy the stock market is embedded in. We also report the presence of effects of potential periodic-like influences on the SMI data that we have analyzed. One such influence is visible in all our SMI series, and appears at a period T-p approximate to 90 days. We propose that the existence of various periodic-like influenc...es on SMI data may partially explain the observed difference in types of correlated behavior of corresponding scaling functions.
Izvor:
European Physical Journal B, 2014, 87, 12Izdavač:
- Springer, New York
Finansiranje / projekti:
DOI: 10.1140/epjb/e2014-50655-5
ISSN: 1434-6028
WoS: 000346171400001
Scopus: 2-s2.0-84919941263
Institucija/grupa
Institut za medicinska istraživanjaTY - JOUR AU - Sarvan, Darko AU - Stratimirović, Đorđe AU - Blesić, Suzana AU - Miljković, Vladimir PY - 2014 UR - http://rimi.imi.bg.ac.rs/handle/123456789/527 AB - In this paper we have analyzed scaling properties of time series of stock market indices (SMIs) of developing economies of Western Balkans, and have compared the results we have obtained with the results from more developed economies. We have used three different techniques of data analysis to obtain and verify our findings: detrended fluctuation analysis (DFA) method, detrended moving average (DMA) method, and wavelet transformation (WT) analysis. We have found scaling behavior in all SMI data sets that we have analyzed. The scaling of our SMI series changes from long-range correlated to slightly anti-correlated behavior with the change in growth or maturity of the economy the stock market is embedded in. We also report the presence of effects of potential periodic-like influences on the SMI data that we have analyzed. One such influence is visible in all our SMI series, and appears at a period T-p approximate to 90 days. We propose that the existence of various periodic-like influences on SMI data may partially explain the observed difference in types of correlated behavior of corresponding scaling functions. PB - Springer, New York T2 - European Physical Journal B T1 - Scaling analysis of time series of daily prices from stock markets of transitional economies in the Western Balkans IS - 12 VL - 87 DO - 10.1140/epjb/e2014-50655-5 ER -
@article{ author = "Sarvan, Darko and Stratimirović, Đorđe and Blesić, Suzana and Miljković, Vladimir", year = "2014", abstract = "In this paper we have analyzed scaling properties of time series of stock market indices (SMIs) of developing economies of Western Balkans, and have compared the results we have obtained with the results from more developed economies. We have used three different techniques of data analysis to obtain and verify our findings: detrended fluctuation analysis (DFA) method, detrended moving average (DMA) method, and wavelet transformation (WT) analysis. We have found scaling behavior in all SMI data sets that we have analyzed. The scaling of our SMI series changes from long-range correlated to slightly anti-correlated behavior with the change in growth or maturity of the economy the stock market is embedded in. We also report the presence of effects of potential periodic-like influences on the SMI data that we have analyzed. One such influence is visible in all our SMI series, and appears at a period T-p approximate to 90 days. We propose that the existence of various periodic-like influences on SMI data may partially explain the observed difference in types of correlated behavior of corresponding scaling functions.", publisher = "Springer, New York", journal = "European Physical Journal B", title = "Scaling analysis of time series of daily prices from stock markets of transitional economies in the Western Balkans", number = "12", volume = "87", doi = "10.1140/epjb/e2014-50655-5" }
Sarvan, D., Stratimirović, Đ., Blesić, S.,& Miljković, V.. (2014). Scaling analysis of time series of daily prices from stock markets of transitional economies in the Western Balkans. in European Physical Journal B Springer, New York., 87(12). https://doi.org/10.1140/epjb/e2014-50655-5
Sarvan D, Stratimirović Đ, Blesić S, Miljković V. Scaling analysis of time series of daily prices from stock markets of transitional economies in the Western Balkans. in European Physical Journal B. 2014;87(12). doi:10.1140/epjb/e2014-50655-5 .
Sarvan, Darko, Stratimirović, Đorđe, Blesić, Suzana, Miljković, Vladimir, "Scaling analysis of time series of daily prices from stock markets of transitional economies in the Western Balkans" in European Physical Journal B, 87, no. 12 (2014), https://doi.org/10.1140/epjb/e2014-50655-5 . .