Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China

The main purpose of the paper is to analyze the conditional correlations, conditional covariances, and co-volatility spillovers between international crude oil and associated financial markets. The prices of oil and its interactions with financial markets make it possible to determine the associated prices of financial derivatives, such as carbon emission prices. The approach taken in the paper is different from others in the literature; the purpose is to examine the usefulness of modeling and testing volatility spillovers in the oil and financial markets. The paper investigates co-volatility spillovers (namely, the delayed effect of a returns shock in one physical or financial asset on the subsequent volatility or co-volatility in another physical or financial asset) between the oil and financial markets. The oil industry has four major regions, namely North Sea, the USA, Middle East, and South-East Asia. Associated with these regions are two major financial centers, namely the UK and the USA. For these reasons, the data to be used are the returns on alternative crude oil markets, returns on crude oil derivatives, specifically futures, and stock index returns in the UK and the USA. Given the importance of the Chinese financial and economic systems, the paper also analyzes Chinese financial markets, where the data are more recent. The USA and China are the world’s two largest economies and the UK is the world’s sixth largest economy (and second in the existing EU) behind the USA, China, Japan, Germany, and India. Moreover, the USA and the UK are associated with WTI and Brent oil, respectively. One of the purposes of the paper is to examine how China might be different from the USA and the UK, which seems to be borne out in the empirical analysis. Based on the conditional covariances to test the co-volatility spillovers, dynamic hedging strategies will be suggested to analyze market fluctuations in crude oil prices and associated financial markets.

[1]  R. Engle Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .

[2]  H. Bjørnland Oil Price Shocks and Stock Market Booms in an Oil Exporting Country , 2008 .

[3]  Juan Carlos,et al.  Efecto del mercado de futuros en la volatilidad del mercado SPOT: caso aplicado al mercado accionario colombiano , 2020 .

[4]  Michael McAleer,et al.  Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility , 2009 .

[5]  Duc Khuong Nguyen,et al.  On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness , 2012 .

[6]  Robert J. Myers,et al.  Bivariate garch estimation of the optimal commodity futures Hedge , 1991 .

[7]  M. McAleer What They Did Not Tell You about Algebraic (Non-) Existence, Mathematical (IR-)Regularity and (Non-) Asymptotic Properties of the Full BEKK Dynamic Conditional Covariance Model , 2019, Journal of Risk and Financial Management.

[8]  Y. Tse,et al.  A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model With Time-Varying Correlations , 2002 .

[9]  Theodore Simos,et al.  Global Financial Crisis and Emerging Stock Market Contagion: A Multivariate FIAPARCH-DCC Approach , 2013 .

[10]  Leland L. Johnson,et al.  The Theory of Hedging and Speculation in Commodity Futures , 1960 .

[11]  Michael McAleer,et al.  Re-Opening the Silk Road to Transform Chinese Trade , 2017 .

[12]  R. Engle Dynamic Conditional Correlation , 2002 .

[13]  T. Bollerslev,et al.  Generalized autoregressive conditional heteroskedasticity , 1986 .

[14]  Michael McAleer,et al.  Asymmetry and Leverage in Conditional Volatility Models , 2014 .

[15]  M. McAleer,et al.  Volatility spillovers and causality of carbon emissions, oil and coal spot and futures for the EU and USA , 2017 .

[16]  M. McAleer Automated Inference and Learning in Modelling Financial Volatility * , 2004 .

[17]  Michael McAleer,et al.  Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH , 2010 .

[18]  Michael McAleer,et al.  Ten Things You Should Know About the Dynamic Conditional Correlation Representation , 2013 .

[19]  L. Kilian,et al.  The Impact of Oil Price Shocks on the U.S. Stock Market , 2007 .

[20]  T. Brailsford,et al.  OIL PRICE RISK AND THE AUSTRALIAN STOCK MARKET , 1999 .

[21]  Michael McAleer,et al.  Stationarity and Invertibility of a Dynamic Correlation Matrix , 2017, Kybernetika.

[22]  M. McAleer,et al.  The Fiction of Full BEKK: Pricing Fossil Fuels and Carbon Emissions , 2018, Finance Research Letters.

[23]  M. McAleer,et al.  The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH , 2017 .

[24]  Rania Jammazi,et al.  The effects of crude oil shocks on stock market shifts behaviour: A regime switching approach , 2009 .

[25]  M. McAleer,et al.  Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn , 2016 .

[26]  Perry Sadorsky Oil price shocks and stock market activity , 1999 .

[27]  M. McAleer What They Did Not Tell You about Algebraic (Non-) Existence, Mathematical (IR-)Regularity, and (Non-) Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model , 2019, Journal of Risk and Financial Management.

[28]  Michael McAleer,et al.  Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice , 2015, Energies.

[29]  Yi-Ming Wei,et al.  Relationships between oil price shocks and stock market: An empirical analysis from China ☆ , 2008 .

[30]  Dimitris Kenourgios,et al.  Intraday exchange rate volatility transmissions across QE announcements , 2015 .

[31]  T. Bollerslev,et al.  Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model , 1990 .

[32]  Ruey S. Tsay,et al.  Conditional Heteroscedastic Time Series Models , 1987 .

[33]  J. Isaac Miller,et al.  Crude oil and stock markets: Stability, instability, and bubbles ☆ , 2009 .

[34]  Michael McAleer,et al.  A One Line Derivation of EGARCH , 2014 .

[35]  Michael McAleer,et al.  GENERALIZED AUTOREGRESSIVE CONDITIONAL CORRELATION , 2008, Econometric Theory.

[36]  Michael McAleer,et al.  ASYMPTOTIC THEORY FOR A VECTOR ARMA-GARCH MODEL , 2003, Econometric Theory.

[37]  M. McAleer,et al.  Conditional Correlations and Volatility Spillovers between Crude Oil and Stock Index Returns , 2010 .

[38]  J. Wooldridge,et al.  A Capital Asset Pricing Model with Time-Varying Covariances , 1988, Journal of Political Economy.

[39]  C. Aloui,et al.  Wavelet Decomposition and Regime Shifts: Assessing the Effects of Crude Oil Shocks on Stock Market Returns , 2010 .

[40]  R. Engle,et al.  Multivariate Simultaneous Generalized ARCH , 1995, Econometric Theory.

[41]  Thierry Jeantheau,et al.  STRONG CONSISTENCY OF ESTIMATORS FOR MULTIVARIATE ARCH MODELS , 1998, Econometric Theory.