Efficiency of crude oil markets: Evidences from informational entropy analysis

The role of crude oil as the main energy source for the global economic activity has motivated the discussion about the dynamics and causes of crude oil price changes. An accurate understanding of the issue should provide important guidelines for the design of optimal policies and government budget planning. Using daily data for WTI over the period January 1986–March 2011, we analyze the evolution of the informational complexity and efficiency for the crude oil market through multiscale entropy analysis. The results indicated that the crude oil market is informationally efficient over the scrutinized period except for two periods that correspond to the early 1990s and late 2000s US recessions. Overall, the results showed that deregulation has improved the operation of the market in the sense of making returns less predictable. On the other hand, there is some evidence that the probability of having a severe US economic recession increases as the informational efficiency decreases, which indicates that returns from crude oil markets are less uncertain during economic downturns.

[1]  James D. Hamilton.  What is an Oil Shock? , 2000 .

[2]  R. Kálmán,et al.  Irregularity, volatility, risk, and financial market time series. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[3]  M. Farzanegan,et al.  The effects of oil price shocks on the Iranian economy , 2009 .

[4]  Ladislav Kristoufek,et al.  Commodity futures and market efficiency , 2013, 1309.1492.

[5]  Jose Alvarez-Ramirez,et al.  Multifractal Hurst analysis of crude oil prices , 2002 .

[6]  J. Elder,et al.  Long memory in energy futures prices , 2008 .

[7]  L. Gulko,et al.  THE ENTROPIC MARKET HYPOTHESIS , 1999 .

[8]  L. Kilian.  Not All Oil Price Shocks are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market , 2006 .

[9]  James D. Hamilton.  Oil and the Macroeconomy since World War II , 1983, Journal of Political Economy.

[10]  Andrew J. Oswald,et al.  Unemployment Equilibria and Input Prices: Theory and Evidence from the United States , 1998, Review of Economics and Statistics.

[11]  R. Smyth,et al.  Unit root properties of crude oil spot and futures prices , 2008, Energy Policy.

[12]  Wiston Adrián Risso,et al.  The informational efficiency: the emerging markets versus the developed markets , 2008 .

[13]  Knut Anton Mork,et al.  Oil and the Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results , 1989, Journal of Political Economy.

[14]  Duc Khuong Nguyen,et al.  Time-varying Predictability in Crude Oil Markets: The Case of GCC Countries , 2010 .

[15]  A. Lo.  The Adaptive Markets Hypothesis , 2004 .

[16]  E. Fama.  EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .

[17]  Brynjar Karlsson,et al.  Comparison between approximate entropy, correntropy and time reversibility: application to uterine electromyogram signals. , 2011, Medical engineering & physics.

[18]  C. Aloui,et al.  Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling , 2012 .

[19]  Gabjin Oh,et al.  Market efficiency in foreign exchange markets , 2007 .

[20]  Jose Alvarez-Ramirez,et al.  Short-term predictability of crude oil markets: A detrended fluctuation analysis approach , 2008 .

[21]  Gbadebo Oladosu,et al.  Identifying the oil price-macroeconomy relationship: An empirical mode decomposition analysis of US data , 2009 .

[22]  Luciano Zunino,et al.  Forbidden patterns, permutation entropy and stock market inefficiency , 2009 .

[23]  M. Gisser,et al.  Crude Oil and the Macroeconomy: Tests of Some Popular Notions: A Note. , 1986 .

[24]  Juncal Cunado,et al.  Do oil price shocks matter? Evidence for some European countries , 2003 .

[25]  S M Pincus,et al.  Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[26]  K. Lim,et al.  The Evolution of Stock Market Efficiency Over Time: A Survey of the Empirical Literature , 2011 .

[27]  Duc Khuong Nguyen,et al.  On the short- and long-run efficiency of energy and precious metal markets , 2013 .

[28]  G. Darbellay,et al.  The entropy as a tool for analysing statistical dependences in financial time series , 2000 .

[29]  Tao Wang,et al.  Nonlinearity and Intraday Efficiency Tests on Energy Futures Markets , 2009 .

[30]  Apostolos Serletis,et al.  Random fractal structures in North American energy markets , 2004 .

[31]  Yudong Wang,et al.  Is WTI crude oil market becoming weakly efficient over time?: New evidence from multiscale analysis based on detrended fluctuation analysis , 2010 .

[32]  K. A. Mork,et al.  Toward efficiency in the crude-oil market , 1991 .

[33]  Alvaro Ortiz,et al.  Explaining the So-Called 'Price Premium' in Oil Markets , 2005 .

[34]  B. M. Tabak,et al.  Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility☆ , 2007 .

[35]  Bassam Fattouh,et al.  The Dynamics of Crude Oil Price Differentials , 2010 .

[36]  Michael McAleer,et al.  Market Efficiency of Oil Spot and Futures: A Mean-Variance and Stochastic Dominance Approach , 2010 .

[37]  R. Rossiter,et al.  Are there exploitable inefficiencies in the futures market for oil , 2007 .

[38]  Olivier Darné,et al.  The efficiency of the crude oil markets: Evidence from variance ratio tests , 2009 .

[39]  Christopher G. Wilson,et al.  The effect of time delay on Approximate & Sample Entropy calculations , 2008 .

[40]  Yi-Ming Wei,et al.  A generalized pattern matching approach for multi-step prediction of crude oil price , 2008 .

[41]  A. Lo,et al.  THE ECONOMETRICS OF FINANCIAL MARKETS , 1996, Macroeconomic Dynamics.

[42]  The Relative Efficiency of Stockmarkets , 2008 .

[43]  Wiston Adrián Risso,et al.  The informational efficiency and the financial crashes , 2008 .

[44]  E. Fama,et al.  Efficient Capital Markets : II , 2007 .

[45]  V. Mignon,et al.  On the Influence of Oil Prices on Economic Activity and Other Macroeconomic and Financial Variables , 2008 .

[46]  M. Watson,et al.  Systematic Monetary Policy and the Effects of Oil Price Shocks , 1997 .

[47]  J. Kasparian.  Contribution of crude oil price to households’ budget: The weight of indirect energy use , 2009 .

[48]  J. Alvarez,et al.  Crude oil market efficiency and modeling: Insights from the multiscaling autocorrelation pattern , 2010 .

[49]  Kin Keung Lai,et al.  Global economic activity and crude oil prices: A cointegration analysis , 2010 .

[50]  Robert H. Rasche,et al.  Energy resources and potential GNP , 1977 .