Publication:
An econometric analysis of ETF and ETF futures in financial and energy markets using generated regressors

Loading...
Thumbnail Image
Official URL
Full text at PDC
Publication Date
2016
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Facultad de Ciencias Económicas. Instituto Complutense de Análisis Económico (ICAE)
Citations
Google Scholar
Research Projects
Organizational Units
Journal Issue
Abstract
It is well known that that there is an intrinsic link between the financial and energy sectors, which can be analyzed through their spillover effects, which are measures of how the shocks to returns in different assets affect each other’s subsequent volatility in both spot and futures markets. Financial derivatives, which are not only highly representative of the underlying indices but can also be traded on both the spot and futures markets, include Exchange Traded Funds (ETFs), which is a tradable spot index whose aim is to replicate the return of an underlying benchmark index. When ETF futures are not available to examine spillover effects, “generated regressors” may be used to construct both Financial ETF futures and Energy ETF futures. The purpose of the paper is to investigate the covolatility spillovers within and across the US energy and financial sectors in both spot and futures markets, by using “generated regressors” and a multivariate conditional volatility model, namely Diagonal BEKK. The daily data used are from 1998/12/23 to 2016/4/22. The data set is analyzed in its entirety, and also subdivided into three subset time periods. The empirical results show there is a significant relationship between the Financial ETF and Energy ETF in the spot and futures markets. Therefore, financial and energy ETFs are suitable for constructing a financial portfolio from an optimal risk management perspective, and also for dynamic hedging purposes.
Description
Keywords
Citation
Baba, Y., R.F. Engle, D. Kraft and K.F. Kroner (1985), Multivariate Simultaneous Generalized ARCH, Unpublished manuscript, Department of Economics, University of California, San Diego, CA, USA. Baffes, J., M.A. Kose, F. Ohnsorge and M. Stocker (2015), The Great Plunge in Oil Prices: Causes, Consequences, and Policy Responses, World Bank Report. Bollerslev, T. (1986), Generalised Autoregressive Conditional Heteroscedasticity, Journal of Econometrics, 31, 307-327. Bollerslev, T. (1990), Modelling the Coherence in Short-Run Nominal Exchange Rate: A Multivariate Generalized ARCH Approach, Review of Economics and Statistics, 72, 498-505. Bollerslev, T., R. Engle and J. Wooldridge (1988), A Capital Asset Pricing Model with Time Varying Covariance, Journal of Political Economy, 96, 116-131. Chang, C.-L. (2015), Modelling a Latent Daily Tourism Financial Conditions Index, International Review of Economics & Finance, 40(C), 113-126. Chang, C-L., T-L. Hsieh and M. McAleer (2016), How are VIX and Stock Index ETF Related?, Tinbergen Institute Discussion Paper 16-010/III, Tinbergen Institute, Amsterdam and Rotterdam, The Netherlands. Chang C.-L. and Y.-P. Ke (2014), Testing Price Pressure, Information, Feedback Trading, and Smoothing Effects for Energy Exchange Traded Funds, Annals of Financial Economics, 9(2), 1-26. Chang, C.-L., Y.-Y. Li and M. McAleer (2015), Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice, Tinbergen Institute Discussion Papers 15-077/III, Tinbergen Institute. Chang, C.-L., M. McAleer and Y.-A. Wang (2016), Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn, Tinbergen Institute Discussion Papers 16-014/III, Tinbergen Institute. Chen J.-H. and C.-Y. Huang (2010), An Analysis of the Spillover Effects of Exchange Traded Funds, Applied Economics, 42(9), 1155-1168. Engle, R.F. (1982), Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation, Econometrica, 50, 987-1007. Engle, R. (2002), Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Hereoskedasticity Models, Journal of Business and Economic Statistics, 20, 339-350. Engle, R.F. and K.F. Kroner (1995), Multivariate Simultaneous Generalized ARCH, Econometric Theory, 11(1), 122-150. Fiebig, D.G., M. McAleer and R. Bartels (1992), Properties of Ordinary Least Squares Estimators in Regression Models with Non-Spherical Disturbances, Journal of Econometrics, 54, 321-334. Jeantheau, T. (1998), Strong Consistency of Estimators for Multivariate ARCH Models, Econometric Theory, 14, 70-86. Ling, S. and M. McAleer (2003), Asymptotic Theory for a Vector ARMA-GARCH Model, Econometric Theory, 19, 278-308. McAleer, M. (1992), The Rao-Zyskind Condition, Kruskal’s Theorem and Ordinary Least Squares, Economic Record, 68, 65-72. McAleer, M. (2005), Automated Inference and Learning in Modeling Financial Volatility, Econometric Theory, 21(1), 232-261. McAleer, M. (2014), A One Line Derivation of EGARCH, Econometrics, 2, 92-97. McAleer, M., F. Chan, S. Hoti and O. Lieberman (2008), Generalized Autoregressive Conditional Correlation, Econometric Theory, 24(6), 1554-1583. McAleer, M., S. Hoti and F. Chan (2009), Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility, Econometric Reviews, 28, 422-440. McAleer. M., J.-A. Jimenez-Martin and T. Perez-Amaral (2013), Has the Basel Accord Improved Risk Management During the Global Financial Crisis?, North American Journal of Economics and Finance, 26(C), 250-265. McAleer, M. and C.R. McKenzie (1991), When are Two-Step Estimators Efficient?, Econometric Reviews, 10, 235-252. McLannahan, B. and A. Gray (2016, January 15), Big US Banks Reveal Oil Price Damage, Financial Times. Olson, B., E. Glazer and M. Jarzemsky (2016, March 24), Coming to the Oil Patch: Bad Loans to Outnumber the Good, The Wall Street Journal. Smith, G. (2014, July 4), U.S. Seen as Biggest Oil Producer After Overtaking Saudi, Bloomberg. Tsay, R.S. (1987), Conditional Heteroscedastic Time Series Models, Journal of the American Statistical Association, 82, 590-604. Tse, Y.K. and A.K.C. Tsui (2002), A Multivariate GARCH Model with Time-Varying Correlations, Journal of Business and Economic Statistics, 20, 351-362. Van Vactor, S.A. (2009, January 1), Financial Crisis Impacts Energy Industry, Oil and Gas Financial Journal.