Chaos in historical prices and volatilities with five-dimensional euclidean spaces
From the Diagram Accuracy-Deviation and the new quantifier of chaos, this paper presents time series analysis for historical prices, volatilities and returns. The study cases are financial price series of United States Brent Oil (BNO), Wipro Limited (WIT), Nasdaq, Inc. (NDAQ) and SPDR S&P 500 ET...
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Elsevier
2019-03-01
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| Series: | Chaos, Solitons & Fractals: X |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590054419300016 |
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doaj-0378d09495824df488494950cee56bac2020-11-25T00:22:50ZengElsevierChaos, Solitons & Fractals: X2590-05442019-03-011Chaos in historical prices and volatilities with five-dimensional euclidean spacesP.R.L. Alves0Fundação de Apoio à Escola Técnica, Escola Técnica Estadual Visconde de Mauá, 21610-210Rio de Janeiro, BrazilFrom the Diagram Accuracy-Deviation and the new quantifier of chaos, this paper presents time series analysis for historical prices, volatilities and returns. The study cases are financial price series of United States Brent Oil (BNO), Wipro Limited (WIT), Nasdaq, Inc. (NDAQ) and SPDR S&P 500 ETF (SPY). Detection of chaos and randomness cover the period from November 2010 to November 2018. This work introduces the chaoticity in the Lorenz’s sense, a new measure for comparison between time series. The set of results enlights the underlying dynamics of the time evolution observed in economic indexes nowadays. Keywords: Chaos, Econophysics, Time series analysishttp://www.sciencedirect.com/science/article/pii/S2590054419300016 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
P.R.L. Alves |
| spellingShingle |
P.R.L. Alves Chaos in historical prices and volatilities with five-dimensional euclidean spaces Chaos, Solitons & Fractals: X |
| author_facet |
P.R.L. Alves |
| author_sort |
P.R.L. Alves |
| title |
Chaos in historical prices and volatilities with five-dimensional euclidean spaces |
| title_short |
Chaos in historical prices and volatilities with five-dimensional euclidean spaces |
| title_full |
Chaos in historical prices and volatilities with five-dimensional euclidean spaces |
| title_fullStr |
Chaos in historical prices and volatilities with five-dimensional euclidean spaces |
| title_full_unstemmed |
Chaos in historical prices and volatilities with five-dimensional euclidean spaces |
| title_sort |
chaos in historical prices and volatilities with five-dimensional euclidean spaces |
| publisher |
Elsevier |
| series |
Chaos, Solitons & Fractals: X |
| issn |
2590-0544 |
| publishDate |
2019-03-01 |
| description |
From the Diagram Accuracy-Deviation and the new quantifier of chaos, this paper presents time series analysis for historical prices, volatilities and returns. The study cases are financial price series of United States Brent Oil (BNO), Wipro Limited (WIT), Nasdaq, Inc. (NDAQ) and SPDR S&P 500 ETF (SPY). Detection of chaos and randomness cover the period from November 2010 to November 2018. This work introduces the chaoticity in the Lorenz’s sense, a new measure for comparison between time series. The set of results enlights the underlying dynamics of the time evolution observed in economic indexes nowadays. Keywords: Chaos, Econophysics, Time series analysis |
| url |
http://www.sciencedirect.com/science/article/pii/S2590054419300016 |
| work_keys_str_mv |
AT prlalves chaosinhistoricalpricesandvolatilitieswithfivedimensionaleuclideanspaces |
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