Time Series Analysis of Persistence in Crude Oil Price Volatility across Bull and Bear Regimes
Author
Abstract
Suggested Citation
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Other versions of this item:
- Gil-Alana, Luis A. & Gupta, Rangan & Olubusoye, Olusanya E. & Yaya, OlaOluwa S., 2016. "Time series analysis of persistence in crude oil price volatility across bull and bear regimes," Energy, Elsevier, vol. 109(C), pages 29-37.
References listed on IDEAS
- Bradley T. Ewing & Farooq Malik, 2010. "Estimating Volatility Persistence in Oil Prices Under Structural Breaks," The Financial Review, Eastern Finance Association, vol. 45(4), pages 1011-1023, November.
- Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
- Charles, Amélie & Darné, Olivier, 2009.
"The efficiency of the crude oil markets: Evidence from variance ratio tests,"
Energy Policy, Elsevier, vol. 37(11), pages 4267-4272, November.
- Amélie Charles & Olivier Darné, 2009. "The efficiency of the crude oil markets: Evidence from variance ratio tests," Post-Print hal-00771081, HAL.
- Dimitris Korobilis, 2013.
"Var Forecasting Using Bayesian Variable Selection,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 204-230, March.
- Korobilis, Dimitris, 2009. "VAR forecasting using Bayesian variable selection," MPRA Paper 21124, University Library of Munich, Germany.
- KOROBILIS, Dimitris, 2011. "VAR forecasting using Bayesian variable selection," LIDAM Discussion Papers CORE 2011022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Dimitris Korobilis, 2010. "VAR Forecasting Using Bayesian Variable Selection," Working Paper series 51_10, Rimini Centre for Economic Analysis, revised Apr 2011.
- Donald W. Jones, Paul N. Leiby and Inja K. Paik, 2004.
"Oil Price Shocks and the Macroeconomy: What Has Been Learned Since 1996,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-32.
- Donald W. Jones & Paul N. Leiby & Inja K. Paik, 2004. "Oil Price Shocks and the Macroeconomy: What Has Been Learned Since 1996," The Energy Journal, , vol. 25(2), pages 1-32, April.
- Lutkepohl, Helmut & Claessen, Holger, 1997. "Analysis of cointegrated VARMA processes," Journal of Econometrics, Elsevier, vol. 80(2), pages 223-239, October.
- Christiane Baumeister & Gert Peersman, 2013.
"The Role Of Time‐Varying Price Elasticities In Accounting For Volatility Changes In The Crude Oil Market,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1087-1109, November.
- Christiane Baumeister & Gert Peersman, 2011. "The Role of Time-Varying Price Elasticities in Accounting for Volatility Changes in the Crude Oil Market," Staff Working Papers 11-28, Bank of Canada.
- Robert B. Barsky & Lutz Kilian, 2004.
"Oil and the Macroeconomy Since the 1970s,"
Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 115-134, Fall.
- Barsky, Robert & Kilian, Lutz, 2004. "Oil and the Macroeconomy Since the 1970s," CEPR Discussion Papers 4496, C.E.P.R. Discussion Papers.
- Robert Barsky & Lutz Kilian, 2004. "Oil and the Macroeconomy Since the 1970s," NBER Working Papers 10855, National Bureau of Economic Research, Inc.
- Nathan S. Balke & Stephen P. A. Brown & Mine K. Yücel, 2010.
"Oil price shocks and U.S. economic activity: an international perspective,"
Working Papers
1003, Federal Reserve Bank of Dallas.
- Balke, Nathan S. & Brown, Stephen P.A. & Yucel, Mine K., 2010. "Oil Price Shocks and U.S. Economic Activity: An International Perspective," RFF Working Paper Series dp-10-37, Resources for the Future.
- Christian Kascha, 2012.
"A Comparison of Estimation Methods for Vector Autoregressive Moving-Average Models,"
Econometric Reviews, Taylor & Francis Journals, vol. 31(3), pages 297-324.
- Christian Kascha, 2007. "A Comparison of Estimation Methods for Vector Autoregressive Moving-Average Models," Economics Working Papers ECO2007/12, European University Institute.
- Charles, Amélie & Darné, Olivier, 2014.
"Volatility persistence in crude oil markets,"
Energy Policy, Elsevier, vol. 65(C), pages 729-742.
- Amélie Charles & Olivier Darné, 2012. "Volatility Persistence in Crude Oil Markets," Working Papers hal-00719387, HAL.
- Amélie Charles & Olivier Darné, 2014. "Volatility persistence in crude oil markets," Post-Print hal-00940312, HAL.
- Kang, Wensheng & Ratti, Ronald A., 2013.
"Structural oil price shocks and policy uncertainty,"
Economic Modelling, Elsevier, vol. 35(C), pages 314-319.
- Kang, Wensheng & Ratti, Ronald A., 2013. "Structural oil price shocks and policy uncertainty," MPRA Paper 49007, University Library of Munich, Germany.
- Koop, Gary & Korobilis, Dimitris, 2010.
"Bayesian Multivariate Time Series Methods for Empirical Macroeconomics,"
Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
- Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Working Paper series 47_09, Rimini Centre for Economic Analysis.
- Lutz Kilian, 2008.
"The Economic Effects of Energy Price Shocks,"
Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
- Kilian, Lutz, 2007. "The Economic Effects of Energy Price Shocks," CEPR Discussion Papers 6559, C.E.P.R. Discussion Papers.
- Dvir, Eyal & Rogoff, Kenneth, 2014. "Demand effects and speculation in oil markets: Theory and evidence," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 113-128.
- Hamilton, James D., 2011.
"Nonlinearities And The Macroeconomic Effects Of Oil Prices,"
Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 364-378, November.
- James D. Hamilton, 2010. "Nonlinearities and the Macroeconomic Effects of Oil Prices," NBER Working Papers 16186, National Bureau of Economic Research, Inc.
- Canova, Fabio, 1993. "Modelling and forecasting exchange rates with a Bayesian time-varying coefficient model," Journal of Economic Dynamics and Control, Elsevier, vol. 17(1-2), pages 233-261.
- Erten, Bilge & Ocampo, José Antonio, 2013.
"Super Cycles of Commodity Prices Since the Mid-Nineteenth Century,"
World Development, Elsevier, vol. 44(C), pages 14-30.
- Bilge Erten, 2012. "Super-cycles of commodity prices since the mid-ninteenth century," Working Papers 110, United Nations, Department of Economics and Social Affairs.
- Paap, Richard & van Dijk, Herman K, 2003.
"Bayes Estimates of Markov Trends in Possibly Cointegrated Series: An Application to U.S. Consumption and Income,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 547-563, October.
- Richard Paap & Herman K. van Dijk, 1999. "Bayes Estimates of Markov Trends in possibly Cointegrated Series: An Application to US Consumption and Income," Tinbergen Institute Discussion Papers 99-024/4, Tinbergen Institute.
- Paap, R. & van Dijk, H.K., 2002. "Bayes estimates of Markov trends in possibly cointegrated series: an application to US consumption and income," Econometric Institute Research Papers EI 2002-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Gil-Alana, Luis A. & Gupta, Rangan, 2014.
"Persistence and cycles in historical oil price data,"
Energy Economics, Elsevier, vol. 45(C), pages 511-516.
- Luis A. Gil-Alana & Rangan Gupta, 2013. "Persistence and Cycles in Historical Oil Prices Data," Working Papers 201375, University of Pretoria, Department of Economics.
- Timothy Cogley & Thomas J. Sargent, 2005.
"Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
- Timothy Cogley & Thomas Sargent, "undated". "Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII US," Working Papers 2133503, Department of Economics, W. P. Carey School of Business, Arizona State University.
- Timothy Cogley & Thomas J. Sargent, 2003. "Drifts and volatilities: monetary policies and outcomes in the post WWII U.S," FRB Atlanta Working Paper 2003-25, Federal Reserve Bank of Atlanta.
- Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998.
"Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
- Sangjoon Kim, Neil Shephard & Siddhartha Chib, "undated". "Stochastic volatility: likelihood inference and comparison with ARCH models," Economics Papers W26, revised version of W, Economics Group, Nuffield College, University of Oxford.
- Sangjoon Kim & Neil Shephard, 1994. "Stochastic volatility: likelihood inference and comparison with ARCH models," Economics Papers 3., Economics Group, Nuffield College, University of Oxford.
- Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1996. "Stochastic Volatility: Likelihood Inference And Comparison With Arch Models," Econometrics 9610002, University Library of Munich, Germany.
- Peiris, M. Shelton, 1988. "On the study of some functions of multivariate ARMA processes," Journal of Multivariate Analysis, Elsevier, vol. 25(1), pages 146-151, April.
- Gary M. Koop, 2013.
"Forecasting with Medium and Large Bayesian VARS,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 177-203, March.
- Gary Koop, 2010. "Forecasting with Medium and Large Bayesian VARs," Working Paper series 43_10, Rimini Centre for Economic Analysis.
- Gary Koop, 2011. "Forecasting with Medium and Large Bayesian VARs," Working Papers 1117, University of Strathclyde Business School, Department of Economics.
- Koop, Gary, 2011. "Forecasting with Medium and Large Bayesian VARs," SIRE Discussion Papers 2011-38, Scottish Institute for Research in Economics (SIRE).
- Dimitris Korobilis, 2013.
"Assessing the Transmission of Monetary Policy Using Time-varying Parameter Dynamic Factor Models-super-,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 157-179, April.
- Korobilis, Dimitris, 2009. "Assessing the transmission of monetary policy using dynamic factor models," MPRA Paper 27593, University Library of Munich, Germany, revised Nov 2010.
- Dimitris Korobilis, 2009. "Assessing the Transmission of Monetary Policy Shocks Using Dynamic Factor Models," Working Paper series 35_09, Rimini Centre for Economic Analysis.
- Dimitris Korompilis, 2009. "Assessing the Transmission of Monetary Policy Shocks Using Dynamic Factor Models," Working Papers 0914, University of Strathclyde Business School, Department of Economics.
- Sungbae An & Frank Schorfheide, 2007.
"Bayesian Analysis of DSGE Models,"
Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
- Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.
- Sungbae An & Frank Schorfheide, 2006. "Bayesian analysis of DSGE models," Working Papers 06-5, Federal Reserve Bank of Philadelphia.
- James D. Hamilton, 2009.
"Causes and Consequences of the Oil Shock of 2007-08,"
Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
- James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," NBER Working Papers 15002, National Bureau of Economic Research, Inc.
- James D. Hamilton, 2010. "Causes and consequences of the oil shock of 2007–08," FRB Atlanta CQER Working Paper 2009-02, Federal Reserve Bank of Atlanta.
- Christian Kascha & Carsten Trenkler, 2015. "Simple Identification and Specification of Cointegrated Varma Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 675-702, June.
- Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005.
"Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
- Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach," Finance and Economics Discussion Series 2004-03, Board of Governors of the Federal Reserve System (U.S.).
- Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," NBER Working Papers 10220, National Bureau of Economic Research, Inc.
- John Elder & Apostolos Serletis, 2010.
"Oil Price Uncertainty,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(6), pages 1137-1159, September.
- John Elder & Apostolos Serletis, 2010. "Oil Price Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(6), pages 1137-1159, September.
- Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008.
"Fiscal Foresight: Analytics and Econometrics,"
NBER Working Papers
14028, National Bureau of Economic Research, Inc.
- Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008. "Fiscal Foresight: Analytics and Econometrics," CAEPR Working Papers 2008-013, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
- Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010.
"Large Bayesian vector auto regressions,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
- Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2007. "Bayesian VARs with Large Panels," CEPR Discussion Papers 6326, C.E.P.R. Discussion Papers.
- Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2008. "Large Bayesian VARs," Working Papers ECARES 2008_033, ULB -- Universite Libre de Bruxelles.
- Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
- Lutz Kilian, 2009.
"Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market,"
American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
- Kilian, Lutz, 2006. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," CEPR Discussion Papers 5994, C.E.P.R. Discussion Papers.
- Christiane Baumeister & Gert Peersman, 2013.
"Time-Varying Effects of Oil Supply Shocks on the US Economy,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 1-28, October.
- C. Baumeister & G. Peersman, 2008. "Time-Varying Effects of Oil Supply Shocks on the US Economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/515, Ghent University, Faculty of Economics and Business Administration.
- Christiane Baumeister & Gert Peersman, 2012. "Time-Varying Effects of Oil Supply Shocks on the U.S. Economy," Staff Working Papers 12-2, Bank of Canada.
- Gert Peersman & Christiane Baumeister, 2009. "Time-Varying Effects of Oil Supply Shocks on the US Economy," 2009 Meeting Papers 171, Society for Economic Dynamics.
- Hannan, E J, 1976. "The Identification and Parameterization of ARMAX and State Space Forms," Econometrica, Econometric Society, vol. 44(4), pages 713-723, July.
- Anton Nakov & Andrea Pescatori, 2010.
"Oil and the Great Moderation,"
Economic Journal, Royal Economic Society, vol. 120(543), pages 131-156, March.
- Anton Nakov & Andrea Pescatori, 2007. "Oil and the Great Moderation," Working Papers (Old Series) 0717, Federal Reserve Bank of Cleveland.
- Anton Nakov & Andrea Pescatori, 2007. "Oil and the Great Moderation," Working Papers 0735, Banco de España.
- John Geweke & Gianni Amisano, 2011.
"Hierarchical Markov normal mixture models with applications to financial asset returns,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 1-29, January/F.
- Amisano, Gianni & Geweke, John, 2007. "Hierarchical Markov normal mixture models with applications to financial asset returns," Working Paper Series 831, European Central Bank.
- John Geweke & Gianni Amisano, 2007. "Hierarchical Markov Normal Mixture Models with Applications to Financial Asset Returns," Working Papers 0705, University of Brescia, Department of Economics.
- Afees A. Salisu, 2014. "Modelling oil price volatility before, during and after the global financial crisis," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 38(4), pages 469-495, December.
- James H. Stock & Mark W. Watson, 2007.
"Why Has U.S. Inflation Become Harder to Forecast?,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
- James H. Stock & Mark W. Watson, 2006. "Why Has U.S. Inflation Become Harder to Forecast?," NBER Working Papers 12324, National Bureau of Economic Research, Inc.
- Tokic, Damir, 2015. "The 2014 oil bust: Causes and consequences," Energy Policy, Elsevier, vol. 85(C), pages 162-169.
- Nathan S. Balke & Stephen P.A. Brown & Mine K. Yucel, 2002.
"Oil Price Shocks and the U.S. Economy: Where Does the Asymmetry Originate?,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 27-52.
- Nathan S. Balke & Stephen P.A. Brown & Mine K. Yücel, 2002. "Oil Price Shocks and the U.S. Economy: Where Does the Asymmetry Originate?," The Energy Journal, , vol. 23(3), pages 27-52, July.
- Nathan S. Balke & Stephen P. A. Brown & Mine K. Yücel, 1999. "Oil price shocks and the U.S. economy: where does the asymmetry originate?," Working Papers 9911, Federal Reserve Bank of Dallas.
- Ortiz-Cruz, Alejandro & Rodriguez, Eduardo & Ibarra-Valdez, Carlos & Alvarez-Ramirez, Jose, 2012. "Efficiency of crude oil markets: Evidences from informational entropy analysis," Energy Policy, Elsevier, vol. 41(C), pages 365-373.
- Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
- Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
- Koop, Gary & Korobilis, Dimitris, 2013.
"Large time-varying parameter VARs,"
Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
- Koop, Gary & Korobilis, Dimitris, 2012. "Large time-varying parameter VARs," MPRA Paper 38591, University Library of Munich, Germany.
- Koop, Gary & Korobilis, Dimitris, 2012. "Large Time-Varying Parameter VARs," SIRE Discussion Papers 2012-14, Scottish Institute for Research in Economics (SIRE).
- Gary Koop & Dimitris Korobilis, 2012. "Large Time-Varying Parameter VARs," Working Paper series 11_12, Rimini Centre for Economic Analysis.
- Gary Koop & Dimitris Korobilis, 2012. "Large time-varying parameter VARs," Working Papers 2012_04, Business School - Economics, University of Glasgow.
- Tokic, Damir, 2010. "The 2008 oil bubble: Causes and consequences," Energy Policy, Elsevier, vol. 38(10), pages 6009-6015, October.
- Lutkepohl, Helmut & Poskitt, D S, 1996.
"Specification of Echelon-Form VARMA Models,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 69-79, January.
- D.S. Poskitt, "undated". "Specification of echelon form VARMA models," Statistic und Oekonometrie 9305, Humboldt Universitaet Berlin.
- Konstantinos Metaxoglou & Aaron Smith, 2007. "Maximum Likelihood Estimation of VARMA Models Using a State‐Space EM Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(5), pages 666-685, September.
- Nikolaos Antonakakis & Ioannis Chatziantoniou & George Filis, 2014.
"Dynamic Spillovers of Oil Price Shocks and Policy Uncertainty,"
Department of Economics Working Papers
wuwp166, Vienna University of Economics and Business, Department of Economics.
- Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic Spillovers of Oil Price Shocks and Policy Uncertainty," Department of Economics Working Paper Series 166, WU Vienna University of Economics and Business.
- Athanasopoulos, George & Vahid, Farshid, 2008.
"VARMA versus VAR for Macroeconomic Forecasting,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 237-252, April.
- George Athanasopoulos & Farshid Vahid, 2006. "VARMA versus VAR for Macroeconomic Forecasting," Monash Econometrics and Business Statistics Working Papers 4/06, Monash University, Department of Econometrics and Business Statistics.
- Melike Bildirici & Özgür Ömer Ersin, 2014. "Nonlinearity, Volatility and Fractional Integration in Daily Oil Prices: Smooth Transition Autoregressive ST-FI(AP)GARCH Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-135, October.
- J. Stevens & P. de Lamirande, 2014. "Testing the efficiency of the futures market for crude oil in the presence of a structural break," Applied Economics, Taylor & Francis Journals, vol. 46(33), pages 4053-4059, November.
- Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic spillovers of oil price shocks and economic policy uncertainty," Energy Economics, Elsevier, vol. 44(C), pages 433-447.
- Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
- Poskitt, D.S., 2016. "Vector autoregressive moving average identification for macroeconomic modeling: A new methodology," Journal of Econometrics, Elsevier, vol. 192(2), pages 468-484.
- Xiaoyi Mu and Haichun Ye, 2015. "Small Trends and Big Cycles in Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
- George Athanasopoulos & D. Poskitt & Farshid Vahid, 2012.
"Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form,"
Econometric Reviews, Taylor & Francis Journals, vol. 31(1), pages 60-83.
- George Athanasopoulos & D.S. Poskitt & Farshid Vahid, 2007. "Two canonical VARMA forms: Scalar component models vis-à-vis the Echelon form," Monash Econometrics and Business Statistics Working Papers 10/07, Monash University, Department of Econometrics and Business Statistics, revised May 2009.
- Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010.
"Large Bayesian vector auto regressions,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
- Marta Bańbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92, January.
- Lutz Kilian, 2008.
"Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the U.S. Economy?,"
The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 216-240, May.
- Kilian, Lutz, 2005. "Exogenous Oil Supply Shocks: How Big Are They and How Much do they Matter for the US Economy?," CEPR Discussion Papers 5131, C.E.P.R. Discussion Papers.
- Gary Koop & Simon M. Potter, 2007. "Estimation and Forecasting in Models with Multiple Breaks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 763-789.
- Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008.
"Fiscal Foresight: Analytics and Econometrics,"
NBER Working Papers
14028, National Bureau of Economic Research, Inc.
- Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2008. "Fiscal Foresight: Analytics and Econometrics," Caepr Working Papers 2008-013, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
- Kang, Wensheng & Ratti, Ronald A., 2013.
"Oil shocks, policy uncertainty and stock market return,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 305-318.
- Kang, Wensheng & Ratti, Ronald A., 2013. "Oil shocks, policy uncertainty and stock market return," MPRA Paper 49008, University Library of Munich, Germany.
- Paresh Kumar Narayan & Stephan Popp, 2010.
"A new unit root test with two structural breaks in level and slope at unknown time,"
Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1425-1438.
- Narayan, Paresh & Popp, Stephan, 2009. "A new unit root test with two structural breaks in level and slope at unknown time," Working Papers eco_2009_11, Deakin University, Department of Economics.
- Cooley, Thomas F. & Dwyer, Mark, 1998. "Business cycle analysis without much theory A look at structural VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 57-88.
- Brown, Stephen P. A. & Yucel, Mine K., 2002.
"Energy prices and aggregate economic activity: an interpretative survey,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 193-208.
- Stephen P. A. Brown & Mine K. Yücel, 2001. "Energy prices and aggregate economic activity: an interpretive survey," Working Papers 0102, Federal Reserve Bank of Dallas.
- Afees A. Salisu & Ismail O. Fasanya, 2012. "Comparative Performance of Volatility Models for Oil Price," International Journal of Energy Economics and Policy, Econjournals, vol. 2(3), pages 167-183.
- Adrian R. Pagan & Kirill A. Sossounov, 2003. "A simple framework for analysing bull and bear markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 23-46.
- Narayan, Paresh Kumar & Narayan, Seema, 2007. "Modelling oil price volatility," Energy Policy, Elsevier, vol. 35(12), pages 6549-6553, December.
- repec:bny:wpaper:0035 is not listed on IDEAS
- Jean-Marie Dufour & Dalibor Stevanović, 2013. "Factor-Augmented VARMA Models With Macroeconomic Applications," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(4), pages 491-506, October.
- Abadir, Karim M. & Distaso, Walter & Giraitis, Liudas, 2007. "Nonstationarity-extended local Whittle estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 1353-1384, December.
- Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Spillovers between oil and stock markets at times of geopolitical unrest and economic turbulence," MPRA Paper 59760, University Library of Munich, Germany.
- Wang, Yudong & Liu, Li, 2010. "Is WTI crude oil market becoming weakly efficient over time?: New evidence from multiscale analysis based on detrended fluctuation analysis," Energy Economics, Elsevier, vol. 32(5), pages 987-992, September.
- Fardous Alom & Bert D. Ward & Baiding Hu, 2012. "Modelling petroleum future price volatility: analysing asymmetry and persistency of shocks," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 36(1), pages 1-24, March.
- Susan Yang, Shu-Chun, 2005. "Quantifying tax effects under policy foresight," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1557-1568, November.
- Salisu, Afees A. & Mobolaji, Hakeem, 2013. "Modeling returns and volatility transmission between oil price and US–Nigeria exchange rate," Energy Economics, Elsevier, vol. 39(C), pages 169-176.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Joshua C.C. Chan & Eric Eisenstat, 2015. "Efficient estimation of Bayesian VARMAs with time-varying coefficients," CAMA Working Papers 2015-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Balcilar, Mehmet & Gupta, Rangan & Wohar, Mark E., 2017.
"Common cycles and common trends in the stock and oil markets: Evidence from more than 150years of data,"
Energy Economics, Elsevier, vol. 61(C), pages 72-86.
- Mehmet Balcilar & Rangan Gupta & Mark E. Wohar, 2015. "Common Cycles and Common Trends in the Stock and Oil markets: Evidence from More than 150 Years of Data," Working Papers 201572, University of Pretoria, Department of Economics.
- Joshua C.C. Chan & Eric Eisenstat, 2013. "Gibbs Samplers for VARMA and Its Extensions," ANU Working Papers in Economics and Econometrics 2013-604, Australian National University, College of Business and Economics, School of Economics.
- Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
- Kang, Wensheng & Ratti, Ronald A. & Yoon, Kyung Hwan, 2015.
"Time-varying effect of oil market shocks on the stock market,"
Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 150-163.
- Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2015. "Time-varying effect of oil market shocks on the stock market," CAMA Working Papers 2015-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Chan, Joshua C.C. & Eisenstat, Eric & Koop, Gary, 2016.
"Large Bayesian VARMAs,"
Journal of Econometrics, Elsevier, vol. 192(2), pages 374-390.
- Joshua C C Chan & Eric Eisenstat & Gary Koop, 2014. "Large Bayesian VARMAs," Working Papers 1409, University of Strathclyde Business School, Department of Economics.
- Joshua Chan & Eric Eisenstat & Gary Koop, 2015. "Large Bayesian VARMAs," Working Paper series 15-36, Rimini Centre for Economic Analysis.
- Joshua C.C. Chan & Eric Eisenstat & Gary Koop, 2014. "Large Bayesian VARMAs," Working Paper series 40_14, Rimini Centre for Economic Analysis.
- Chan, Joshua C.C. & Eisenstat, Eric & Koop, Gary, 2014. "Large Bayesian VARMAs," SIRE Discussion Papers 2015-06, Scottish Institute for Research in Economics (SIRE).
- Koop, Gary & Korobilis, Dimitris, 2010.
"Bayesian Multivariate Time Series Methods for Empirical Macroeconomics,"
Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
- Gary Koop & Dimitris Korobilis, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Working Paper series 47_09, Rimini Centre for Economic Analysis.
- Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
- Bampinas, Georgios & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2023.
"Oil shocks and investor attention,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 68-81.
- Georgios Bampinas & Theodore Panagiotidis & Georgios Papapanagiotou, 2022. "Oil shocks and investor attention," Working Paper series 22-13, Rimini Centre for Economic Analysis.
- Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
- Christiane Baumeister & Gert Peersman, 2013.
"Time-Varying Effects of Oil Supply Shocks on the US Economy,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 1-28, October.
- C. Baumeister & G. Peersman, 2008. "Time-Varying Effects of Oil Supply Shocks on the US Economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/515, Ghent University, Faculty of Economics and Business Administration.
- Christiane Baumeister & Gert Peersman, 2012. "Time-Varying Effects of Oil Supply Shocks on the U.S. Economy," Staff Working Papers 12-2, Bank of Canada.
- Gert Peersman & Christiane Baumeister, 2009. "Time-Varying Effects of Oil Supply Shocks on the US Economy," 2009 Meeting Papers 171, Society for Economic Dynamics.
- Karlsson, Sune, 2013.
"Forecasting with Bayesian Vector Autoregression,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897,
Elsevier.
- Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
- Tunc, Ahmet & Kocoglu, Mustafa & Aslan, Alper, 2022. "Time-varying characteristics of the simultaneous interactions between economic uncertainty, international oil prices and GDP: A novel approach for Germany," Resources Policy, Elsevier, vol. 77(C).
- Joshua C.C. Chan & Rodney W. Strachan, 2023.
"Bayesian State Space Models In Macroeconometrics,"
Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
- Joshua C.C. Chan & Rodney W. Strachan, 2020. "Bayesian state space models in macroeconometrics," CAMA Working Papers 2020-90, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Joshua C. C. Chan, 2019. "Large Bayesian vector autoregressions," CAMA Working Papers 2019-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "Crude oil price behaviour before and after military conflicts and geopolitical events," Energy, Elsevier, vol. 120(C), pages 79-91.
- Nima Nonejad, 2019. "Modeling Persistence and Parameter Instability in Historical Crude Oil Price Data Using a Gibbs Sampling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1687-1710, April.
- Ewing, Bradley T. & Kang, Wensheng & Ratti, Ronald A., 2018. "The dynamic effects of oil supply shocks on the US stock market returns of upstream oil and gas companies," Energy Economics, Elsevier, vol. 72(C), pages 505-516.
- Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
- Valcarcel, Victor J. & Wohar, Mark E., 2013. "Changes in the oil price-inflation pass-through," Journal of Economics and Business, Elsevier, vol. 68(C), pages 24-42.
- Broadstock, David C. & Filis, George, 2014. "Oil price shocks and stock market returns: New evidence from the United States and China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 417-433.
More about this item
Keywords
Bull and bear regimes; Oil price; Persistence; Volatility; West Texas Intermediate market;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2015-11-01 (Energy Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pre:wpaper:201580. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.