Forecasting energy commodity prices: a large global dataset sparse approach
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Davide Ferrari & Francesco Ravazzolo & Joaquin Vespignani, 2019. "Forecasting Energy Commodity Prices: A Large Global Dataset Sparse Approach," Working Papers No 11/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Davide Ferrari & Francesco Ravazzolo & Joaquin L. Vespignani, 2019. "Forecasting Energy Commodity Prices: A Large Global Dataset Sparse Approach," Globalization Institute Working Papers 376, Federal Reserve Bank of Dallas, revised 20 Dec 2019.
- Davide Ferrari & Francesco Ravazzolo & Joaquin Vespignani, 2019. "Forecasting energy commodity prices: A large global dataset sparse approach," CAMA Working Papers 2019-90, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
References listed on IDEAS
- Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2015.
"Dynamic predictive density combinations for large data sets in economics and finance,"
Working Paper
2015/12, Norges Bank.
- Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2016. "Dynamic Predictive Density Combinations for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 15-084/III, Tinbergen Institute, revised 03 Jul 2017.
- Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin, 2016.
"The impact of oil price shocks on the U.S. stock market: A note on the roles of U.S. and non-U.S. oil production,"
Economics Letters, Elsevier, vol. 145(C), pages 176-181.
- Wensheng Kang & Ronald A. Ratti & Joaquin L. Vespignani, 2015. "The impact of oil price shocks on the U.S. stock market: a note on the roles of U.S. and non-U.S. oil production," Globalization Institute Working Papers 249, Federal Reserve Bank of Dallas, revised 01 Sep 2015.
- Wensheng Kang & Ronald A. Ratti & Joaquin Vespignani, 2016. "The impact of oil price shocks on the US stock market: A note on the roles of US and non-US oil production," CAMA Working Papers 2016-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Kang, Wensheng & Ratti, Ronald. A. & Vespignani, Joaquin, 2016. "The impact of oil price shocks on the US stock market: A note on the roles of the US and non-US oil production," Working Papers 2016-03, University of Tasmania, Tasmanian School of Business and Economics.
- Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008.
"Nowcasting: The real-time informational content of macroeconomic data,"
Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
- Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2005. "Nowcasting GDP and Inflation: The Real Time Informational Content of Macroeconomic Data Releases," CEPR Discussion Papers 5178, C.E.P.R. Discussion Papers.
- Domenico Giannone & Lucrezia Reichlin & David H. Small, 2005. "Nowcasting GDP and inflation: the real-time informational content of macroeconomic data releases," Finance and Economics Discussion Series 2005-42, Board of Governors of the Federal Reserve System (U.S.).
- Domenico Giannone & Lucrezia Reichlin & David H Small, 2007. "Nowcasting GDP and Inflation: The Real-Time Informational Content of Macroeconomic Data Releases," Money Macro and Finance (MMF) Research Group Conference 2006 164, Money Macro and Finance Research Group.
- Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2015.
"What Drives Oil Prices? Emerging Versus Developed Economies,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1013-1028, November.
- Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2012. "What drives oil prices? Emerging versus developed economies," Working Paper 2012/11, Norges Bank.
- Knut Are Aastveit & Hilde C. Bjornland, 2013. "What drives oil prices? Emerging versus developed economies," CAMA Working Papers 2013-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2012. "What drives oil prices? Emerging versus developed economies," Working Papers No 2/2012, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- A. Anzuini & M. J. Lombardi & P. Pagano, 2013.
"The Impact of Monetary Policy Shocks on Commodity Prices,"
International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 125-150, September.
- Lombardi, Marco J. & Pagano, Patrizio & Anzuini, Alessio, 2010. "The impact of monetary policy shocks on commodity prices," Working Paper Series 1232, European Central Bank.
- Alessio Anzuini & Marco J. Lombardi & Patrizio Pagano, 2012. "The impact of monetary policy shocks on commodity prices," Temi di discussione (Economic working papers) 851, Bank of Italy, Economic Research and International Relations Area.
- Mauro Bernardi & Leopoldo Catania, 2014.
"The Model Confidence Set package for R,"
Papers
1410.8504, arXiv.org.
- Mauro Bernardi & Leopoldo Catania, 2015. "The Model Confidence Set package for R," CEIS Research Paper 362, Tor Vergata University, CEIS, revised 17 Nov 2015.
- Hilde C. Bjørnland & Vegard H. Larsen & Junior Maih, 2018.
"Oil and Macroeconomic (In)stability,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 10(4), pages 128-151, October.
- Hilde C. Bjørnland & Vegard H. Larsen, 2015. "Oil and macroeconomic (in)stability," Working Papers No 7/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hilde C. Bjørnland & Vegard Høghaug Larsen & Junior Maih, 2017. "Oil and macroeconomic (in)stability," Working Papers No 6/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hilde C. Bjørnland & Vegard H. Larsen & Junior Maih, 2016. "Oil and macroeconomic (in)stability," Working Paper 2016/12, Norges Bank.
- Hilde C. Bjørnland & Vegard H. Larsen & Junior Maih, 2017. "Oil and macroeconomic (in)stability," CAMA Working Papers 2017-79, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Sydney C. Ludvigson & Serena Ng, 2009.
"Macro Factors in Bond Risk Premia,"
Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
- Sydeny C. Ludvigson & Serena Ng, 2005. "Macro Factors in Bond Risk Premia," NBER Working Papers 11703, National Bureau of Economic Research, Inc.
- Ratti, Ronald A. & Vespignani, Joaquin L., 2015.
"Commodity prices and BRIC and G3 liquidity: A SFAVEC approach,"
Journal of Banking & Finance, Elsevier, vol. 53(C), pages 18-33.
- Ratti, Ronald A. & Vespignani, Joaquin L., 2013. "Commodity Prices and BRIC and G3 Liquidity: A SFAVEC Approach," MPRA Paper 49324, University Library of Munich, Germany.
- Ronald A. Ratti & Joaquin L. Vespignani, 2014. "Commodity Prices and BRIC and G3 Liquidity: A SFAVEC Approach," CAMA Working Papers 2014-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Ratti, Ronald A & Vespignani, Joaquin L., 2013. "Commodity Prices and BRIC and G3 Liquidity: A SFAVEC Approach," Working Papers 17096, University of Tasmania, Tasmanian School of Business and Economics, revised 09 Jan 2013.
- Diaz, Elena Maria & Molero, Juan Carlos & Perez de Gracia, Fernando, 2016.
"Oil price volatility and stock returns in the G7 economies,"
Energy Economics, Elsevier, vol. 54(C), pages 417-430.
- Elena MarÃa DÃaz & Juan Carlos Molero & Fernando Pérez de Gracia, 2016. "Oil price volatility and stock returns in the G7 economies," Faculty Working Papers 03/16, School of Economics and Business Administration, University of Navarra.
- Lombardi, Marco J. & Ravazzolo, Francesco, 2016.
"On the correlation between commodity and equity returns: Implications for portfolio allocation,"
Journal of Commodity Markets, Elsevier, vol. 2(1), pages 45-57.
- Marco Jacopo Lombardi, 2013. "On the correlation between commodity and equity returns: implications for portfolio allocation," BIS Working Papers 420, Bank for International Settlements.
- Mauro Bernardi & Leopoldo Catania, 2018. "The model confidence set package for R," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 8(2), pages 144-158.
- Christiane Baumeister & Lutz Kilian, 2015.
"Forecasting the Real Price of Oil in a Changing World: A Forecast Combination Approach,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 338-351, July.
- Christiane Baumeister & Lutz Kilian, 2013. "Forecasting the Real Price of Oil in a Changing World: A Forecast Combination Approach," Staff Working Papers 13-28, Bank of Canada.
- Baumeister, Christiane & Kilian, Lutz, 2013. "Forecasting the real price of oil in a changing world: A forecast combination approach," CFS Working Paper Series 2013/11, Center for Financial Studies (CFS).
- Baumeister, Christiane & Kilian, Lutz, 2013. "Forecasting the Real Price of Oil in a Changing World: A Forecast Combination Approach," CEPR Discussion Papers 9569, C.E.P.R. Discussion Papers.
- Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2006.
"A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series,"
Journal of Econometrics, Elsevier, vol. 135(1-2), pages 499-526.
- Marcellino, Massimiliano & Stock, James H & Watson, Mark W, 2005. "A Comparison of Direct and Iterated Multistep AR Methods for Forecasting Macroeconomic Time Series," CEPR Discussion Papers 4976, C.E.P.R. Discussion Papers.
- Massimiliano Marcellino & James Stock & Mark Watson, 2005. "A Comparison of Direct and Iterated Multistep AR Methods for Forecasting Macroeconomic Time Series," Working Papers 285, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Cologni, Alessandro & Manera, Matteo, 2008.
"Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries,"
Energy Economics, Elsevier, vol. 30(3), pages 856-888, May.
- Cologni, Alessandro & Manera, Matteo, 2005. "Oil Prices, Inflation and Interest Rates in a Structural Cointegrated VAR Model for the G-7 Countries," International Energy Markets Working Papers 12110, Fondazione Eni Enrico Mattei (FEEM).
- Matteo Manera & Alessandro Cologni, 2005. "Oil Prices, Inflation and Interest Rates in a Structural Cointegrated VAR Model for the G-7 Countries," Working Papers 2005.101, Fondazione Eni Enrico Mattei.
- Francesco Ravazzolo & Tommy Sveen & Sepideh K. Zahiri, 2016. "Commodity Futures and Forecasting Commodity Currencies," Working Papers No 7/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Kenneth Rogoff & Yu-chin Chen, 2002.
"Commodity Currencies and Empirical Exchange Rate Puzzles,"
IMF Working Papers
2002/027, International Monetary Fund.
- Y.Chen & K. Rogoff, 2003. "Commodity Currencies and Empirical Exchange Rate Puzzles," DNB Staff Reports (discontinued) 76, Netherlands Central Bank.
- Hammoudeh, Shawkat & Reboredo, Juan C., 2018. "Oil price dynamics and market-based inflation expectations," Energy Economics, Elsevier, vol. 75(C), pages 484-491.
- Charles L. Evans & Jonas D. M. Fisher, 2011. "What are the implications of rising commodity prices for inflation and monetary policy?," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue May.
- 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.
- Claudia Foroni & Francesco Ravazzolo & Pinho J. Ribeiro, 2015. "Forecasting commodity currencies: the role of fundamentals with short-lived predictive content," Working Paper 2015/14, Norges Bank.
- Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2005.
"Nowcasting GDP and Inflation: The Real Time Informational Content of Macroeconomic Data Releases,"
CEPR Discussion Papers
5178, C.E.P.R. Discussion Papers.
- Giannone, Domenico & Reichlin, Lucrezia & Small, David H., 2006. "Nowcasting GDP and inflation: the real-time informational content of macroeconomic data releases," Working Paper Series 633, European Central Bank.
- Domenico Giannone & Lucrezia Reichlin & David H. Small, 2005. "Nowcasting GDP and inflation: the real-time informational content of macroeconomic data releases," Finance and Economics Discussion Series 2005-42, Board of Governors of the Federal Reserve System (U.S.).
- Domenico Giannone & Lucrezia Reichlin & David H Small, 2007. "Nowcasting GDP and Inflation: The Real-Time Informational Content of Macroeconomic Data Releases," Money Macro and Finance (MMF) Research Group Conference 2006 164, Money Macro and Finance Research Group.
- Chen, Yu-chin & Rogoff, Kenneth, 2003. "Commodity currencies," Journal of International Economics, Elsevier, vol. 60(1), pages 133-160, May.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020.
"Energy Markets and Global Economic Conditions,"
CESifo Working Paper Series
8282, CESifo.
- Baumeister, Christiane & Korobilis, Dimitris & Lee, Thomas K., 2020. "Energy Markets and Global Economic Conditions," CEPR Discussion Papers 14580, C.E.P.R. Discussion Papers.
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," NBER Working Papers 27001, National Bureau of Economic Research, Inc.
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," Working Papers 2020_08, Business School - Economics, University of Glasgow.
More about this item
Keywords
energy prices; forecasting; Dynamic Factor model; sparse esti- mation; penalized maximum likelihood;JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
- E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2020-01-20 (Energy Economics)
- NEP-FOR-2020-01-20 (Forecasting)
- NEP-MAC-2020-01-20 (Macroeconomics)
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:tas:wpaper:32152. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oscar Pavlov). General contact details of provider: http://edirc.repec.org/data/dutasau.html .
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 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.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.