Gencer, Murat and Unal, Gazanfer
(2016):
*Testing Non-Linear Dynamics, Long Memory and Chaotic Behaviour of Energy Commodities.*

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## Abstract

This paper contains a set of tests for nonlinearities in energy commodity prices. The tests comprise both standart diagnostic tests for revealing nonlinearities. The latter test procedures make use of models in chaos theory, so-called long-memory models and some asymmetric adjustment models. Empirical tests are carried our with daily data for crude oil, heating oil, gasoline and natural gas time series covering the period 2010-2015. Test result showed that there are strong nonlinearities in the data. The test for chaos, however, is weak or nonexisting. The evidence on long memory (in terms of rescaled range and fractional differencing) is somewhat stronger altough not very compelling.

Item Type: | MPRA Paper |
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Original Title: | Testing Non-Linear Dynamics, Long Memory and Chaotic Behaviour of Energy Commodities |

English Title: | Testing Non-Linear Dynamics, Long Memory and Chaotic Behaviour of Energy Commodities |

Language: | English |

Keywords: | Energy commodities, Lyapunov exponents, Correlation dimension, chaos, long memory |

Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling |

Item ID: | 74115 |

Depositing User: | Mr Murat Gencer |

Date Deposited: | 04 Oct 2016 14:11 |

Last Modified: | 01 Oct 2019 17:35 |

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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/74115 |