The analysis of the causal dependences in risk between the crude oil market and the markets representing other asset classes
DOI:
https://doi.org/10.18778/0208-6018.319.08Keywords:
Granger causality in risk, volatility, crude oil, stocks, bonds, currenciesAbstract
With the increasing volatility of the financial instruments, particularly oil which is a strategic energy resource, there is a need to acquire the financial markets wider than ever range of the analyses. The concept of Granger causality in risk is one of the possible directions of analysis of the interdependence between the financial markets. The aim of this study is therefore to verify the presence of the causal relationships in risk between the future prices of oil and the markets representing other asset classes: stocks, bonds, currencies. The data used relate to the periods from January 2000 to January of 2015. The results of the analysis provide arguments for the existence of a causal link between the oil price and the quotations of ten-year Japanese bonds. In relation to the exchange rates the occurrence of the causal relationships in risk was found for these currencies, which were quoted in dollars.
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References
Bacle L., Bekert G., Inghelbrecht K., Wei W. (2013), Flight to Safety, Discussion Paper No. 19095, National Bureau of Economic.
Google Scholar
Cologne A., Manera M. (2005), Oil prices, inflation and interest rates in a structural cointegrated VAR model or the G-7 countries, Energy Economics, 30 (3), p. 856–888.
Google Scholar
Dhaoui A., Khraief N. (2014), Empirical Linkages between Oil Prices and Stock Market Returns and Volatility: Evidence from International Developed Markets, [w:] www.economics-ejournal.org/economics/discussionpapers/2014-12.
Google Scholar
Fratzcher M., Schneider D., Robays I. V. (2014), Oil prices, exchanges rates and asset prices, European Central Bank Working Paper Series, No 1689.
Google Scholar
Gürcan G. S. (1998), Efficiency in the Crude Oil Futures Market, „Journal of Energy Finance and Development”, 3, p. 13–21.
Google Scholar
Hamilton James D. (1983), Oil and the Macroeconomy Since World War II, „Journal of Political Economy”, 91.
Google Scholar
Hong Y. (2001), A Test for Volatility Spillover with Application to Exchange Rates, Journal of Econometrics, vol. 103, p. 183–224.
Google Scholar
Hong Y., Liu Y., Wang S. (2009), Granger Causality in Risk and Detection of Extreme Risk Spillover between Financial Markets, „Journal of Econometrics”, vol. 150, p. 271–289.
Google Scholar
Jimenez-Rodriguez R. Sanchez M. (2004), Oil price shocks and real GDP growth. Empirical evidence for some OECD countries, European Central Bank, Working Paper 363, Frankfurt.
Google Scholar
Le T., Chang Y. (2013), Oil and gold prices: correlation or causation?, Economic Growth Centre, Working Paper Series, No: 2011/02.
Google Scholar
Osińska M. (2011), On the Interpretation of Causality in Granger’s Sense, „Dynamic Econometric Models”, Vol. 11, p. 129–139.
Google Scholar
Osińska M. (2008), Ekonometryczna analiza zależności przyczynowych, Wyd. NaukoweUMK, Toruń.
Google Scholar
Szulc E., Wleklińska D., Górna J., Górna K. (2014), The Significance of Distance between Stock Exchanges Undergoing the process of convergence: an Analysis of Selected World Stock Exchanges During the Period of 2004–2012, “Dynamics Econometrics Models”, Vol. 14, p. 125–144.
Google Scholar
The CBOE Volatility Index – VIX. The powerful and flexible trading and risk management tool from the Chicago Board Options Exchange, CBOE, https://www.cboe.com/micro/vix/vixwhite.pdf.
Google Scholar