A WAY TO DETERMINE CHAOTIC BEHAVIOUR IN ROMANIAN STOCK MARKET
It is difficult to distinguish between multiple random shocks and endogenous informational inflow in nonlinear systems which show complex dynamics. For this reason, we run the chaos tests to investigate the presence of chaotic phenomena using: nonlinearity tests, Recurrence Plot (RP) and Recurrence...
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Online Access: | http://www.rebs.ro/articles/pdfs/219.pdf |
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doaj-5957caa718844576abf0193f866e219f2020-11-24T23:10:38ZengSciendoReview of Economic and Business Studies1843-763X1843-763X2014-12-01VII2207214A WAY TO DETERMINE CHAOTIC BEHAVIOUR IN ROMANIAN STOCK MARKETEmilian Lucian NEACŞU0Marcela Daniela TODONI 1West University of Timisoara, Faculty of Economics and Business Administration, Timisoara, Romania, neacsu.emilian@yahoo.comWest University of Timisoara, Faculty of Economics and Business Administration, Timisoara, Romania, todoni_marcela@yahoo.comIt is difficult to distinguish between multiple random shocks and endogenous informational inflow in nonlinear systems which show complex dynamics. For this reason, we run the chaos tests to investigate the presence of chaotic phenomena using: nonlinearity tests, Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA). In this paper, we compute the Hurst Exponent using R/S analysis on Romanian capital market for a time span between 2005 - 2014 daily data. Substantial changes of Hurst Exponent behaviour in the current period compared to the previous one may be seen as structural break points in the series. The goal of this paper is to determine time series chaotic behaviour in order to highlight the efficiency levels of CEE markets. Also, we aim to investigate the changes in drifting dynamical systems, to examine the recurring patterns – the most important features of complex systems and to admire the "simple beauty of the complexity".http://www.rebs.ro/articles/pdfs/219.pdfHurst exponentchaotic behaviourstructural breaksrecurrence analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Emilian Lucian NEACŞU Marcela Daniela TODONI |
spellingShingle |
Emilian Lucian NEACŞU Marcela Daniela TODONI A WAY TO DETERMINE CHAOTIC BEHAVIOUR IN ROMANIAN STOCK MARKET Review of Economic and Business Studies Hurst exponent chaotic behaviour structural breaks recurrence analysis |
author_facet |
Emilian Lucian NEACŞU Marcela Daniela TODONI |
author_sort |
Emilian Lucian NEACŞU |
title |
A WAY TO DETERMINE CHAOTIC BEHAVIOUR IN ROMANIAN STOCK MARKET |
title_short |
A WAY TO DETERMINE CHAOTIC BEHAVIOUR IN ROMANIAN STOCK MARKET |
title_full |
A WAY TO DETERMINE CHAOTIC BEHAVIOUR IN ROMANIAN STOCK MARKET |
title_fullStr |
A WAY TO DETERMINE CHAOTIC BEHAVIOUR IN ROMANIAN STOCK MARKET |
title_full_unstemmed |
A WAY TO DETERMINE CHAOTIC BEHAVIOUR IN ROMANIAN STOCK MARKET |
title_sort |
way to determine chaotic behaviour in romanian stock market |
publisher |
Sciendo |
series |
Review of Economic and Business Studies |
issn |
1843-763X 1843-763X |
publishDate |
2014-12-01 |
description |
It is difficult to distinguish between multiple random shocks and endogenous informational inflow in nonlinear systems which show complex dynamics. For this reason, we run the chaos tests to investigate the presence of chaotic phenomena using: nonlinearity tests, Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA).
In this paper, we compute the Hurst Exponent using R/S analysis on Romanian capital market for a time span between 2005 - 2014 daily data. Substantial changes of Hurst Exponent behaviour in the current period compared to the previous one may be seen as structural break points in the series.
The goal of this paper is to determine time series chaotic behaviour in order to highlight the efficiency levels of CEE markets. Also, we aim to investigate the changes in drifting dynamical systems, to examine the recurring patterns – the most important features of complex systems and to admire the "simple beauty of the complexity". |
topic |
Hurst exponent chaotic behaviour structural breaks recurrence analysis |
url |
http://www.rebs.ro/articles/pdfs/219.pdf |
work_keys_str_mv |
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