Cross-correlations between crude oil and exchange markets for selected oil rich economies

Jianfeng Li, Xinsheng Lu, Ying Zhou

Research output: Contribution to journalArticleResearchpeer-review

37 Citations (Scopus)

Abstract

Using multifractal detrended cross-correlation analysis (MF-DCCA), this paper studies the cross-correlation behavior between crude oil market and five selected exchange rate markets. The dataset covers the period of January 1,1996-December 31,2014, and contains 4,633 observations for each of the series, including daily closing prices of crude oil, Australian Dollars, Canadian Dollars, Mexican Pesos, Russian Rubles, and South African Rand. Our empirical results obtained from cross-correlation statistic and cross-correlation coefficient have confirmed the existence of cross-correlations, and the MF-DCCA results have demonstrated a strong multifractality between cross-correlated crude oil market and exchange rate markets in both short term and long term. Using rolling window analysis, we have also found the persistent cross-correlations between the exchange rates and crude oil returns, and the cross-correlation scaling exponents exhibit volatility during some time periods due to its sensitivity to sudden events.

Original languageEnglish
Pages (from-to)131-143
Number of pages13
JournalPhysica A: Statistical Mechanics and its Applications
Volume453
DOIs
Publication statusPublished - 1 Jul 2016

Keywords

  • Cross-correlations
  • Crude oil market
  • Exchange rate markets
  • MF-DCCA
  • Multifractality

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