Forecasting Base Metal Prices with Commodity Currencies
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ivo Welch & Amit Goyal, 2008.
"A Comprehensive Look at The Empirical Performance of Equity Premium Prediction,"
The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
- Amit Goyal & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," Yale School of Management Working Papers amz2412, Yale School of Management, revised 01 Jan 2006.
- Amit Goyal & Ivo Welch & Athanasse Zafirov, 2021. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction II," Swiss Finance Institute Research Paper Series 21-85, Swiss Finance Institute.
- Amit Goval & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," NBER Working Papers 10483, National Bureau of Economic Research, Inc.
- Charles Engel & Kenneth D. West, 2005.
"Exchange Rates and Fundamentals,"
Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
- Charles Engel & Kenneth D. West, 2003. "Exchange rates and fundamentals," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
- Engel, Charles & West, Kenneth D., 2003. "Exchange rates and fundamentals," Working Paper Series 248, European Central Bank.
- Charles Engel & Kenneth D. West, 2004. "Exchange Rates and Fundamentals," NBER Working Papers 10723, National Bureau of Economic Research, Inc.
- Dooley, Gillian & Lenihan, Helena, 2005. "An assessment of time series methods in metal price forecasting," Resources Policy, Elsevier, vol. 30(3), pages 208-217, September.
- Jan J. J. Groen & Paolo A. Pesenti, 2011.
"Commodity Prices, Commodity Currencies, and Global Economic Developments,"
NBER Chapters, in: Commodity Prices and Markets, pages 15-42,
National Bureau of Economic Research, Inc.
- Jan J. J. Groen & Paolo Pesenti, 2009. "Commodity prices, commodity currencies, and global economic developments," Staff Reports 387, Federal Reserve Bank of New York.
- Pesenti, Paolo & Groen, Jan J. J., 2010. "Commodity prices, commodity currencies, and global economic developments," CEPR Discussion Papers 7689, C.E.P.R. Discussion Papers.
- Paolo A. Pesenti & Jan J.J. Groen, 2011. "Commodity prices, commodity currencies, and global economic developments," European Economy - Economic Papers 2008 - 2015 440, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Jan J. J. Groen & Paolo A. Pesenti, 2010. "Commodity prices, commodity currencies, and global economic developments," NBER Working Papers 15743, National Bureau of Economic Research, Inc.
- Yu-Chin Chen & Kenneth S. Rogoff & Barbara Rossi, 2010.
"Can Exchange Rates Forecast Commodity Prices?,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1145-1194.
- Yu-chin Chen & Kenneth Rogoff & Barbara Rossi, 2008. "Can Exchange Rates Forecast Commodity Prices?," Working Papers UWEC-2008-11-FC, University of Washington, Department of Economics, revised Oct 2009.
- Yu-Chin Chen & Kenneth Rogoff & Barbara Rossi, 2008. "Can Exchange Rates Forecast Commodity Prices?," NBER Working Papers 13901, National Bureau of Economic Research, Inc.
- Yu-chin Chen & Kenneth Rogoff & Barbara Rossi, 2010. "Can Exchange Rates Forecast Commodity Prices?," Working Papers 10-07, Duke University, Department of Economics.
- Chen, Yu-chin & Rogoff, Kenneth & Rossi, Barbara, 2008. "Can Exchange Rates Forecast Commodity Prices?," Working Papers 08-03, Duke University, Department of Economics.
- Kenneth Rogoff & Barbara Rossi & Yu-chin Chen, 2008. "Can Exchange Rates Forecast Commodity Prices?," 2008 Meeting Papers 540, Society for Economic Dynamics.
- Rogoff, Kenneth S. & Chen, Yu-Chin & Rossi, Barbara, 2010. "Can Exchange Rates Forecast Commodity Prices?," Scholarly Articles 29412033, Harvard University Department of Economics.
- Sánchez Lasheras, Fernando & de Cos Juez, Francisco Javier & Suárez Sánchez, Ana & Krzemień, Alicja & Riesgo Fernández, Pedro, 2015. "Forecasting the COMEX copper spot price by means of neural networks and ARIMA models," Resources Policy, Elsevier, vol. 45(C), pages 37-43.
- Rossen, Anja, 2015.
"What are metal prices like? Co-movement, price cycles and long-run trends,"
Resources Policy, Elsevier, vol. 45(C), pages 255-276.
- Rossen, Anja, 2014. "What are metal prices like? Co-movement, price cycles and long-run trends," HWWI Research Papers 155, Hamburg Institute of International Economics (HWWI).
- Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
- Felipe G. Morandé & Matías Tapia, 2002.
"Exchange Rate Policy in Chile: From the Band to Floating and Beyond,"
Working Papers Central Bank of Chile
152, Central Bank of Chile.
- Felipe Morandé & Matías Tapia, 2002. "Exchange Rate Policy in Chile: From the Band to Floating and Beyond," Working Papers wp192, University of Chile, Department of Economics.
- Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2014.
"What Drives Commodity Prices?,"
American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1455-1468.
- Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2010. "What Drives Commodity Prices?," Auburn Economics Working Paper Series auwp2010-05, Department of Economics, Auburn University.
- Chen, Shu-Ling & Jackson, John D. & Kim, Hyeongwoo & Resiandini, Pramesti, 2012. "What Drives Commodity Prices?," MPRA Paper 40711, University Library of Munich, Germany.
- Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2013. "What Drives Commodity Prices?," Auburn Economics Working Paper Series auwp2013-03, Department of Economics, Auburn University.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2013.
"Primary commodity prices: Co-movements, common factors and fundamentals,"
Journal of Development Economics, Elsevier, vol. 101(C), pages 16-26.
- Joseph P. Byrne & Giorgio Fazio & Norbert Fiess, 2010. "Primary commodity prices: co-movements, common factors and fundamentals," Working Papers 2010_27, Business School - Economics, University of Glasgow.
- Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2011. "Primary commodity prices : co-movements, common factors and fundamentals," Policy Research Working Paper Series 5578, The World Bank.
- Whitney K. Newey & Kenneth D. West, 1994.
"Automatic Lag Selection in Covariance Matrix Estimation,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
- Newey, W.K. & West, K.D., 1992. "Automatic Lag Selection in Covariance Matrix Estimation," Working papers 9220, Wisconsin Madison - Social Systems.
- Kenneth D. West & Whitney K. Newey, 1995. "Automatic Lag Selection in Covariance Matrix Estimation," NBER Technical Working Papers 0144, National Bureau of Economic Research, Inc.
- He, Kaijian & Lu, Xingjing & Zou, Yingchao & Keung Lai, Kin, 2015. "Forecasting metal prices with a curvelet based multiscale methodology," Resources Policy, Elsevier, vol. 45(C), pages 144-150.
- Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
- Clark, Todd E. & West, Kenneth D., 2006.
"Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis,"
Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
- Todd E. Clark & Kenneth D. West, 2004. "Using out-of-sample mean squared prediction errors to test the Martingale difference hypothesis," Research Working Paper RWP 04-03, Federal Reserve Bank of Kansas City.
- Newey, Whitney & West, Kenneth, 2014.
"A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
- Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-708, May.
- Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
- Pablo Pincheira, 2013.
"Interventions and Inflation Expectations in an Inflation Targeting Economy,"
Working Papers Central Bank of Chile
693, Central Bank of Chile.
- Pablo Pincheira, 2013. "Interventions and inflation expectations in an inflation targeting economy," BIS Working Papers 427, Bank for International Settlements.
- West, Kenneth D. & Wong, Ka-Fu, 2014. "A factor model for co-movements of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 289-309.
- Campbell, John Y & Shiller, Robert J, 1987.
"Cointegration and Tests of Present Value Models,"
Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 1062-1088, October.
- John Y. Campbell & Robert J. Shiller, 1986. "Cointegration and Tests of Present Value Models," NBER Working Papers 1885, National Bureau of Economic Research, Inc.
- Campbell, John & Shiller, Robert, 1987. "Cointegration and Tests of Present Value Models," Scholarly Articles 3122490, Harvard University Department of Economics.
- John Y. Campbell & Robert J. Shiller, 1986. "Cointegration and Tests of Present Value Models," Cowles Foundation Discussion Papers 785, Cowles Foundation for Research in Economics, Yale University.
- Gargano, Antonio & Timmermann, Allan, 2014. "Forecasting commodity price indexes using macroeconomic and financial predictors," International Journal of Forecasting, Elsevier, vol. 30(3), pages 825-843.
- Trevor A. Reeve & Robert J. Vigfusson, 2011. "Evaluating the forecasting performance of commodity futures prices," International Finance Discussion Papers 1025, Board of Governors of the Federal Reserve System (U.S.).
- Clark, Todd E. & McCracken, Michael W., 2001.
"Tests of equal forecast accuracy and encompassing for nested models,"
Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
- Todd E. Clark & Michael W. McCracken, 1999. "Tests of equal forecast accuracy and encompassing for nested models," Research Working Paper 99-11, Federal Reserve Bank of Kansas City.
- Todd E. Clark & Michael W. McCracken, 2000. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Econometric Society World Congress 2000 Contributed Papers 0319, Econometric Society.
- Todd E. Clark & Michael McCracken, 1999. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Computing in Economics and Finance 1999 1241, Society for Computational Economics.
- Liu, Chang & Hu, Zhenhua & Li, Yan & Liu, Shaojun, 2017. "Forecasting copper prices by decision tree learning," Resources Policy, Elsevier, vol. 52(C), pages 427-434.
- Timmermann, Allan, 2008. "Reply to the discussion of Elusive Return Predictability," International Journal of Forecasting, Elsevier, vol. 24(1), pages 29-30.
- Akram, Q. Farooq, 2009.
"Commodity prices, interest rates and the dollar,"
Energy Economics, Elsevier, vol. 31(6), pages 838-851, November.
- Q. Farooq Akram, 2008. "Commodity prices, interest rates and the dollar," Working Paper 2008/12, Norges Bank.
- Buncic, Daniel & Moretto, Carlo, 2015.
"Forecasting copper prices with dynamic averaging and selection models,"
The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
- Buncic, Daniel & Moretto, Carlo, 2014. "Forecasting Copper Prices with Dynamic Averaging and Selection Models," Economics Working Paper Series 1430, University of St. Gallen, School of Economics and Political Science.
- Pablo Matias Pincheira Brown, 2013. "Shrinkage‐Based Tests of Predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(4), pages 307-332, July.
- Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
- Roberts, Mark C., 2009. "Duration and characteristics of metal price cycles," Resources Policy, Elsevier, vol. 34(3), pages 87-102, September.
- Timmermann, Allan, 2008. "Elusive return predictability," International Journal of Forecasting, Elsevier, vol. 24(1), pages 1-18.
- Lof, Matthijs & Nyberg, Henri, 2017. "Noncausality and the commodity currency hypothesis," Energy Economics, Elsevier, vol. 65(C), pages 424-433.
- Ito, Takatoshi & Rose, Andrew K. (ed.), 2011. "Commodity Prices and Markets," National Bureau of Economic Research Books, University of Chicago Press, number 9780226386898, July.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Salvatore Carta & Andrea Medda & Alessio Pili & Diego Reforgiato Recupero & Roberto Saia, 2018. "Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data," Future Internet, MDPI, vol. 11(1), pages 1-19, December.
- Piotr Kotlarz & Michael Hanke & Sebastian Stöckl, 2023. "Regime-dependent drivers of the EUR/CHF exchange rate," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-18, December.
- Pincheira, Pablo & Hardy, Nicolas, 2018. "The predictive relationship between exchange rate expectations and base metal prices," MPRA Paper 89423, University Library of Munich, Germany.
- Pincheira-Brown, Pablo & Neumann, Federico, 2020.
"Can we beat the Random Walk? The case of survey-based exchange rate forecasts in Chile,"
Finance Research Letters, Elsevier, vol. 37(C).
- Pincheira, Pablo & Neumann, Federico, 2018. "Can we beat the Random Walk? The case of survey-based exchange rate forecasts in Chile," MPRA Paper 90432, University Library of Munich, Germany.
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.- Pincheira Brown, Pablo & Hardy, Nicolás, 2019. "Forecasting base metal prices with the Chilean exchange rate," Resources Policy, Elsevier, vol. 62(C), pages 256-281.
- Pincheira, Pablo & Hardy, Nicolas, 2018. "The predictive relationship between exchange rate expectations and base metal prices," MPRA Paper 89423, University Library of Munich, Germany.
- Pincheira, Pablo & Hardy, Nicolás, 2021.
"Forecasting aluminum prices with commodity currencies,"
Resources Policy, Elsevier, vol. 73(C).
- Pincheira, Pablo & Hardy, Nicolás, 2019. "Forecasting Aluminum Prices with Commodity Currencies," MPRA Paper 97005, University Library of Munich, Germany.
- Hardy, Nicolás & Ferreira, Tiago & Quinteros, Maria J. & Magner, Nicolás S., 2023. "“Watch your tone!”: Forecasting mining industry commodity prices with financial report tone," Resources Policy, Elsevier, vol. 86(PA).
- Pincheira-Brown, Pablo & Bentancor, Andrea & Hardy, Nicolás & Jarsun, Nabil, 2022. "Forecasting fuel prices with the Chilean exchange rate: Going beyond the commodity currency hypothesis," Energy Economics, Elsevier, vol. 106(C).
- Rubaszek, Michał & Karolak, Zuzanna & Kwas, Marek, 2020. "Mean-reversion, non-linearities and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 65(C).
- Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2021. "Common factors and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 74(C).
- Clark, Todd & McCracken, Michael, 2013.
"Advances in Forecast Evaluation,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1107-1201,
Elsevier.
- Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers (Old Series) 1120, Federal Reserve Bank of Cleveland.
- Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers 2011-025, Federal Reserve Bank of St. Louis.
- Rossi, Barbara, 2013.
"Advances in Forecasting under Instability,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324,
Elsevier.
- Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
- Nicolás Magner & Nicolás Hardy, 2022. "Cryptocurrency Forecasting: More Evidence of the Meese-Rogoff Puzzle," Mathematics, MDPI, vol. 10(13), pages 1-27, July.
- Pablo Pincheira-Brown & Nicolás Hardy & Cristobal Henrriquez & Ignacio Tapia & Andrea Bentancor, 2023.
"Forecasting Base Metal Prices with an International Stock Index,"
Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 73(3), pages 277-302, October.
- Pincheira, Pablo & Hardy, Nicolas & Bentancor, Andrea & Henriquez, Cristóbal & Tapia, Ignacio, 2021. "Forecasting Base Metal Prices with an International Stock Index," MPRA Paper 107828, University Library of Munich, Germany.
- Pablo Pincheira & Nicolás Hardy & Felipe Muñoz, 2021. "“Go Wild for a While!”: A New Test for Forecast Evaluation in Nested Models," Mathematics, MDPI, vol. 9(18), pages 1-28, September.
- Pincheira, Pablo M. & West, Kenneth D., 2016. "A comparison of some out-of-sample tests of predictability in iterated multi-step-ahead forecasts," Research in Economics, Elsevier, vol. 70(2), pages 304-319.
- Pablo Pincheira Brown & Nicolás Hardy, 2023. "Forecasting base metal prices with exchange rate expectations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2341-2362, December.
- Pincheira, Pablo & Jarsun, Nabil, 2020. "Summary of the Paper Entitled: Forecasting Fuel Prices with the Chilean Exchange Rate," MPRA Paper 105056, University Library of Munich, Germany.
- Pablo Pincheira Brown, 2022.
"A Power Booster Factor for Out-of-Sample Tests of Predictability,"
Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 45(89), pages 150-183.
- Pincheira, Pablo, 2017. "A Power Booster Factor for Out-of-Sample Tests of Predictability," MPRA Paper 77027, University Library of Munich, Germany.
- Granziera, Eleonora & Hubrich, Kirstin & Moon, Hyungsik Roger, 2014.
"A predictability test for a small number of nested models,"
Journal of Econometrics, Elsevier, vol. 182(1), pages 174-185.
- Hubrich, Kirstin & Granziera, Eleonora & Moon, Hyungsik Roger, 2013. "A predictability test for a small number of nested models," Working Paper Series 1580, European Central Bank.
- Pincheira, Pablo & Hardy, Nicolás & Muñoz, Felipe, 2021. ""Go wild for a while!": A new asymptotically Normal test for forecast evaluation in nested models," MPRA Paper 105368, University Library of Munich, Germany.
- Feng, Wenjun & Zhang, Zhengjun, 2023. "Currency exchange rate predictability: The new power of Bitcoin prices," Journal of International Money and Finance, Elsevier, vol. 132(C).
- Pincheira-Brown, Pablo & Neumann, Federico, 2020.
"Can we beat the Random Walk? The case of survey-based exchange rate forecasts in Chile,"
Finance Research Letters, Elsevier, vol. 37(C).
- Pincheira, Pablo & Neumann, Federico, 2018. "Can we beat the Random Walk? The case of survey-based exchange rate forecasts in Chile," MPRA Paper 90432, University Library of Munich, Germany.
More about this item
Keywords
Forecasting; commodities prices; univariate time-series models; out-of-sample comparison; exchange rates; copper; primary non-ferrous metals.;All these keywords.
JEL classification:
- E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- F0 - International Economics - - General
- F00 - International Economics - - General - - - General
- F01 - International Economics - - General - - - Global Outlook
- F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
- F31 - International Economics - - International Finance - - - Foreign Exchange
- F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
- G1 - Financial Economics - - General Financial Markets
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
- Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2018-01-15 (Forecasting)
- NEP-MAC-2018-01-15 (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:pra:mprapa:83564. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.