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THE ASYMMETRIC EFFECTS OF OIL PRICE SHOCKS

Published online by Cambridge University Press:  08 December 2011

Sajjadur Rahman
Affiliation:
University of Saskatchewan
Apostolos Serletis*
Affiliation:
University of Calgary
*
Address correspondence to: Apostolos Serletis, Department of Economics, University of Calgary, Calgary, Alberta T2N 1N4, Canada; e-mail: [email protected]; URL: http://econ.ucalgary.ca/serletis.htm.

Abstract

In this paper we investigate the effects of oil price uncertainty and its asymmetry on real economic activity in the United States, in the context of a bivariate vector autoregression with GARCH-in-mean errors. The model allows for the possibilities of spillovers and asymmetries in the variance–covariance structure for real output growth and the change in the real price of oil. Our measure of oil price uncertainty is the conditional variance of the oil price–change forecast error. We isolate the effects of volatility in the change in the price of oil and its asymmetry on output growth and employ simulation methods to calculate generalized impulse response functions and volatility impulse response functions to trace the effects of independent shocks on the conditional means and the conditional variances, respectively, of the variables. We find that oil price uncertainty has a negative effect on output, and that shocks to the price of oil and its uncertainty have asymmetric effects on output.

Type
Articles
Copyright
Copyright © Cambridge University Press 2011

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References

REFERENCES

Bernanke, Ben S., Gertler, Mark, and Watson, Mark (1997) Systematic monetary policy and the effects of oil price shocks. Brookings Papers on Economic Activity 1, 91142.CrossRefGoogle Scholar
Bollerslev, T. (1990) Modelling the coherence in short-run nominal exchange rates: A multivariate generalized ARCH model. Review of Economics and Statistics 72, 498505.CrossRefGoogle Scholar
Bollerslev, T., Robert, F. Engle and Wooldridge, J. (1988) A capital asset pricing model with time varying covariances. Journal of Political Economy 96, 143172.CrossRefGoogle Scholar
Dickey, David A. and Fuller, Wayne A. (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49, 10571072.CrossRefGoogle Scholar
Edelstein, Paul and Kilian, Lutz (2007) The response of business fixed investment to changes in energy prices: A test of some hypotheses about the transmission of energy price shocks. The B.E. Journal of Macroeconomics (Contributions) 7, Article 35.CrossRefGoogle Scholar
Edelstein, Paul and Kilian, Lutz (2008) Retail Energy Prices and Consumer Expenditures. University of Michigan and CEPR working paper.Google Scholar
Elder, John (2004) Another perspective on the effects of inflation volatility. Journal of Money, Credit and Banking 36, 911928.CrossRefGoogle Scholar
Elder, John and Serletis, Apostolos (2010) Oil price uncertainty. Journal of Money, Credit and Banking 42, 11381159.CrossRefGoogle Scholar
Engle, Robert F. (1982) Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica 50, 9871008.CrossRefGoogle Scholar
Engle, Robert F. (2002) Dynamic conditional correlation: A simple class of multivariate GARCH models. Journal of Business and Economic Statistics 20, 339350.CrossRefGoogle Scholar
Engle, R.F. and Granger, C.W. (1987) Cointegration and error correction: Representation, estimation and testing. Econometrica 55, 251276.CrossRefGoogle Scholar
Engle, Robert F. and Kroner, Kenneth F. (1995) Multivariate simultaneous generalized ARCH. Econometric Theory 11, 122150.CrossRefGoogle Scholar
Engle, Robert F. and Ng, Victor K. (1993) Measuring and testing the impact of news on volatility. Journal of Finance 5, 17491778.CrossRefGoogle Scholar
Engle, Robert F., Ng, Victor K., and Rothschild, M. (1990) Asset pricing with a factor-ARCH covariance structure: Empirical estimates for Treasury bills. Journal of Econometrics 45, 213237.CrossRefGoogle Scholar
Grier, Kevin B., Henry, Ólan T., Olekalns, Nilss, and Shields, Kalvinder (2004) The asymmetric effects of uncertainty on inflation and output growth. Journal of Applied Econometrics 19, 551565.CrossRefGoogle Scholar
Hafner, Cristian M. and Helmut Herwartz (2006) Volatility impulse response functions for multivariate GARCH models: An exchange rate illustration. Journal of International Money and Finance 25, 719740.CrossRefGoogle Scholar
Hamilton, James D. (1983) Oil and the macroeconomy since World War II. Journal of Political Economy 91, 228248.CrossRefGoogle Scholar
Hamilton, James D. (2003) What is an oil shock? Journal of Econometrics 113, 363398.CrossRefGoogle Scholar
Hamilton, James D. and Herrera, Anna (2004) Oil shocks and aggregate macroeconomic behavior: The role of monetary policy. Journal of Money, Credit and Banking 36, 265286.CrossRefGoogle Scholar
Hansen, Peter R. and Lunde, Asger (2005) A forecast comparison of volatility models: Does anything beat a GARCH(1,1)? Journal of Applied Econometrics 20, 873889.CrossRefGoogle Scholar
Hooker, Mark A. (1996) What happened to the oil price–macroeconomy relationship? Journal of Monetary Economics 38, 195213.CrossRefGoogle Scholar
Jarque, C.M. and Bera, A.K. (1980) Efficient tests for normality, homoscedasticity, and serial independence of regression residuals. Economics Letters 6, 255259.CrossRefGoogle Scholar
Koop, G., Pesaran, M.H., and Potter, S.M. (1996) Impulse response analysis in non-linear multivariate models. Journal of Econometrics 74, 119147.CrossRefGoogle Scholar
Kroner, Kenneth F. and Ng, Victor K. (1998) Modeling asymmetric comovements of asset returns. Review of Financial Studies 11, 817844.CrossRefGoogle Scholar
Kwiatkowski, D., Phillips, P.C.B., Schmidt, P., and Shin, Y. (1992) Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics 54, 159178.CrossRefGoogle Scholar
Lee, K. and Ni, S. (2002) On the dynamic effects of oil price shocks: A study using industry level data. Journal of Monetary Economics 49, 823852.CrossRefGoogle Scholar
Lee, K., Ni, S., and Ratti, R.A. (1995) Oil shocks and the macroeconomy: The role of price variability. The Energy Journal 16, 3956.CrossRefGoogle Scholar
Ljung, T. and Box, G. (1979) On a measure of lack of fit in time series models. Biometrica 66, 6672.Google Scholar
Mork, Knut A. (1989) Oil and the macroeconomy when prices go up and down: An extension of Hamilton's results. Journal of Political Economy 91, 740744.CrossRefGoogle Scholar
Pagan, A. (1984) Econometric issues in the analysis of regressions with generated regressors. International Economic Review 25, 221247.CrossRefGoogle Scholar
Potter, S.M. (2000) Nonlinear impulse response functions. Journal of Economic Dynamics and Control 24, 14251446.CrossRefGoogle Scholar
Shields, Kalvinder, Olekalns, Nills, Henry, Ólan T., and Brooks, Chris (2005) Measuring the response of macroeconomic uncertainty to shocks. Review of Economics and Statistics 87, 362370.CrossRefGoogle Scholar
van Dijk, Dick, Franses, Philip Hans, and Boswijk, H. Peter (2007) Absorption of shocks in nonlinear autoregressive models. Computational Statistics and Data Analysis 51, 42064226.CrossRefGoogle Scholar