Oil price and financial markets: Multivariate dynamic frequency analysis

被引:50
作者
Cteti, Anna [1 ,2 ]
Ftiti, Zied [3 ,4 ]
Guesmi, Khaled [5 ]
机构
[1] Univ Paris Dauphine PSL LEDa, Paris, France
[2] Ecole Polytech CECO, Paris, France
[3] EDC Business Sch, OCRE Lab, F-92415 Courbevoie, France
[4] Univ Tunis, High Inst Management, GEF 2A Lab, Tunis, Tunisia
[5] Paris West Univ Nanterre La Def, IPAG Business Sch, IPAG Lab & Economix, Paris, France
关键词
Oil prices; Stock markets; Evolutionary co-spectral analysis; STOCK MARKETS; VOLATILITY; SHOCKS; MACROECONOMY; US; SYNCHRONIZATION; COMMODITY; ENERGY; GCC;
D O I
10.1016/j.enpol.2014.05.057
中图分类号
F [经济];
学科分类号
02 ;
摘要
The aim of this paper is to study the degree of interdependence between oil price and stock market index into two groups of countries: oil-importers and oil-exporters. To this end, we propose a new empirical methodology allowing a time-varying dynamic correlation measure between the stock market index and the oil price series. We use the frequency approach proposed by Priestley and Tong (1973), that is the evolutionary co-spectral analysis. This method allows us to distinguish between short-run and medium-run dependence. In order to complete our study by analysing long-run dependence, we use the cointegration procedure developed by Engle and Granger (1987). We find that interdependence between the oil price and the stock market is stronger in exporters' markets than in the importers' ones. (C) 2014 Elsevier Ltd. All rights reserved.
引用
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页码:245 / 258
页数:14
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