Breaks or long range dependence in the energy futures volatility: Out-of-sample forecasting and VaR analysis
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[1] Christopher G. Lamoureux,et al. Persistence in Variance, Structural Change, and the GARCH Model , 1990 .
[2] Ruipeng Liu,et al. A unit root model for trending time-series energy variables , 2015 .
[3] Susan Sunila Sharma,et al. New evidence on oil price and firm returns , 2011 .
[4] G. C. Tiao,et al. Random Level-Shift Time Series Models, ARIMA Approximations, and Level-Shift Detection , 1990 .
[5] A. Lo. Long-Term Memory in Stock Market Prices , 1989 .
[6] C. Granger,et al. AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING , 1980 .
[7] James D. Hamilton. Causes and Consequences of the Oil Shock of 2007–08 , 2009 .
[8] Christian Gourieroux,et al. Memory and infrequent breaks , 2001 .
[9] Timo Teräsvirta,et al. A simple nonlinear time series model with misleading linear properties , 1999 .
[10] Lanouar Charfeddine. True or spurious long memory in volatility: Further evidence on the energy futures markets , 2014 .
[11] R. Baillie,et al. Fractionally integrated generalized autoregressive conditional heteroskedasticity , 1996 .
[12] C. Peng,et al. Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[13] Yudong Wang,et al. Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models? , 2012 .
[14] Mark J. Jensen. An Approximate Wavelet MLE of Short- and Long-Memory Parameters , 1999 .
[15] Ruipeng Liu,et al. Are Shocks to Commodity Prices Persistent , 2010 .
[16] Yu Wei,et al. Can GARCH-class models capture long memory in WTI crude oil markets? , 2011 .
[17] P. Narayan,et al. Does data frequency matter for the impact of forward premium on spot exchange rate , 2015 .
[18] P. Narayan,et al. An analysis of commodity markets: What gain for investors? , 2013 .
[19] Marc S. Paolella,et al. A New Approach to Markov-Switching GARCH Models , 2004 .
[20] Yudong Wang,et al. Long memory in energy futures markets: Further evidence , 2012 .
[21] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[22] T. Bollerslev,et al. MODELING AND PRICING LONG- MEMORY IN STOCK MARKET VOLATILITY , 1996 .
[23] J. Elder,et al. Long memory in energy futures prices , 2008 .
[24] Long memory in stock index futures markets: A value-at-risk approach , 2006 .
[25] Olivier Darné,et al. Volatility persistence in crude oil markets , 2014 .
[26] R. Baillie,et al. Long memory models for daily and high frequency commodity futures returns , 2007 .
[27] Lanouar Charfeddine,et al. Evolving efficiency of spot and futures energy markets: A rolling sample approach , 2015 .
[28] P. Narayan,et al. Do momentum-based trading strategies work in the commodity futures markets? , 2015 .
[29] Duc Khuong Nguyen,et al. Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory , 2014 .
[30] Seong-Min Yoon,et al. Modeling and forecasting the volatility of petroleum futures prices , 2013 .
[31] Korhan K. Gokmenoglu,et al. Persistence in crude oil spot and futures prices , 2013 .
[32] P. Robinson,et al. LONG AND SHORT MEMORY CONDITIONAL HETEROSKEDASTICITY IN ESTIMATING THE MEMORY PARAMETER OF LEVELS , 1999, Econometric Theory.
[33] C. Granger,et al. Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns , 2004 .
[34] Franc J. G. M. Klaassen,et al. Improving GARCH volatility forecasts with regime-switching GARCH , 2002 .
[35] Raul Susmel. Switching Volatility in International Equity Markets , 1994 .
[36] Yu Wei,et al. Forecasting crude oil market volatility: Further evidence using GARCH-class models , 2010 .
[37] Katsumi Shimotsu,et al. EXACT LOCAL WHITTLE ESTIMATION OF FRACTIONAL INTEGRATION WITH UNKNOWN MEAN AND TIME TREND , 2009, Econometric Theory.
[38] Lanouar Charfeddine. Non-Linear Models and The Forward Discount Anomaly : An Empirical Investigation. , 2010 .
[39] James D. Hamilton,et al. Autoregressive conditional heteroskedasticity and changes in regime , 1994 .
[40] Peter C. B. Phillips,et al. Exact Local Whittle Estimation of Fractional Integration , 2002 .
[41] Lanouar Charfeddine,et al. The Tunisian stock market index volatility: Long memory vs. switching regime , 2013 .
[42] Jun Cai. A Markov Model of Switching-Regime ARCH , 1994 .
[43] R. Engle,et al. Implied ARCH models from options prices , 1992 .
[44] J. Geweke,et al. THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS , 1983 .
[45] V. Fernandez. Commodity futures and market efficiency: A fractional integrated approach , 2010 .
[46] Dominique Guegan,et al. Breaks or long memory behavior: An empirical investigation , 2009 .
[47] L. Gil‐Alana,et al. Persistence in some energy futures markets , 2009 .
[48] Paresh Kumar Narayan,et al. Stock return forecasting: Some new evidence , 2015 .
[49] Raul Susmel,et al. Switching volatility in private international equity markets , 2000 .
[50] Yu shan Wang. Oil price effects on personal consumption expenditures , 2013 .
[51] James D. Hamilton,et al. Historical Oil Shocks , 2011 .
[52] Susan Sunila Sharma,et al. Oil price and stock returns of consumers and producers of crude oil , 2015 .
[53] Pierre Giot,et al. Market risk in commodity markets: a VaR approach , 2003 .
[54] Daniel B. Nelson. CONDITIONAL HETEROSKEDASTICITY IN ASSET RETURNS: A NEW APPROACH , 1991 .
[55] Seong-Min Yoon,et al. Forecasting volatility of crude oil markets , 2009 .
[56] Chin Wen Cheong,et al. Modeling and forecasting crude oil markets using ARCH-type models , 2009 .
[57] Franc J. G. M. Klaassen,et al. Improving GARCH Volatility Forecasts , 1998 .
[58] R. Leipus,et al. Rescaled variance and related tests for long memory in volatility and levels , 2003 .
[59] Robert F. Engle,et al. The Reviewof Economicsand Statistics , 1999 .
[60] R. Engle,et al. CAViaR , 1999 .
[61] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[62] Paolo Agnolucci,et al. Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models , 2009 .
[63] Juri Marcucci. Forecasting Stock Market Volatility with Regime-Switching GARCH Models , 2005 .
[64] A. Ronald Gallant,et al. The Fourier Flexible Form , 1984 .
[65] F. Breidt,et al. The detection and estimation of long memory in stochastic volatility , 1998 .
[66] Duc Khuong Nguyen,et al. Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models , 2012 .
[67] Chang‐Jin Kim,et al. State-Space Models with Regime-Switching: Classical and Gibbs Sampling Approaches with Applications , 1999 .
[68] Philippe Artzner,et al. Coherent Measures of Risk , 1999 .
[69] Richard T. Baillie,et al. Modeling Long Memory and Structural Breaks in Conditional Variances: an Adaptive FIGARCH Approach , 2009, ICER 2007.
[70] Lanouar Charfeddine,et al. Time varying market efficiency of the GCC stock markets , 2016 .
[71] F. Diebold,et al. Long Memory and Regime Switching , 2000 .
[72] Stephen Gray. Modeling the Conditional Distribution of Interest Rates as a Regime-Switching Process , 1996 .
[73] James D. Hamilton. A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .