Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump
Author
Abstract
Suggested Citation
DOI: 10.1002/jae.2510
Download full text from publisher
Other versions of this item:
- Kilian, Lutz & Baumeister, Christiane & Lee, Thomas K, 2015. "Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump," CEPR Discussion Papers 10362, C.E.P.R. Discussion Papers.
- Baumeister, Christiane & Kilian, Lutz & Lee, Thomas K., 2015. "Inside the crystal ball: New approaches to predicting the gasoline price at the pump," CFS Working Paper Series 500, Center for Financial Studies (CFS).
- Christiane Baumeister & Lutz Kilian & Thomas K. Lee, 2016. "Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at the Pump," CESifo Working Paper Series 5759, CESifo.
References listed on IDEAS
- Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014.
"Forecasting the oil–gasoline price relationship: Do asymmetries help?,"
Energy Economics, Elsevier, vol. 46(S1), pages 44-56.
- Bastianin, Andrea & Galeotti, Marzio & Manera, Matteo, 2014. "Forecasting the Oil-gasoline Price Relationship: Should We Care about the Rockets and the Feathers?," Climate Change and Sustainable Development 165791, Fondazione Eni Enrico Mattei (FEEM).
- Andrea Bastianin & Matteo Manera, 2020. "A test of time reversibility based on Lmoments with an application to the business cycles of the G7 economies," Working Papers 445, University of Milano-Bicocca, Department of Economics, revised Jun 2020.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2014. "Forecasting the Oil-Gasoline Price Relationship: Should We Care About the Rockets and the Feathers?," IEFE Working Papers 62, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
- Andrea BASTIANIN & Marzio GALEOTTI & Matteo MANERA, 2015. "Forecasting the Oil-Gasoline Price Relationship: Should We Care about the Rockets and the Feathers?," Departmental Working Papers 2015-23, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
- Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2014. "Forecasting the Oil-gasoline Price Relationship: Should We Care about the Rockets and the Feathers?," Working Papers 2014.21, Fondazione Eni Enrico Mattei.
- Shiu-Sheng Chen, 2014.
"Forecasting Crude Oil Price Movements With Oil-Sensitive Stocks,"
Economic Inquiry, Western Economic Association International, vol. 52(2), pages 830-844, April.
- Chen, Shiu-Sheng, 2013. "Forecasting Crude Oil Price Movements with Oil-Sensitive Stocks," MPRA Paper 49240, University Library of Munich, Germany.
- Alquist, Ron & Kilian, Lutz & Vigfusson, Robert J., 2013.
"Forecasting the Price of Oil,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 427-507,
Elsevier.
- Ron Alquist & Lutz Kilian & Robert Vigfusson, 2011. "Forecasting the Price of Oil," Staff Working Papers 11-15, Bank of Canada.
- Ron Alquist & Lutz Kilian & Robert J. Vigfusson, 2011. "Forecasting the price of oil," International Finance Discussion Papers 1022, Board of Governors of the Federal Reserve System (U.S.).
- Kilian, Lutz & Alquist, Ron & Vigfusson, Robert J., 2011. "Forecasting the Price of Oil," CEPR Discussion Papers 8388, C.E.P.R. Discussion Papers.
- Anderson, Soren T. & Kellogg, Ryan & Sallee, James M., 2013.
"What do consumers believe about future gasoline prices?,"
Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 383-403.
- Soren T. Anderson & Ryan Kellogg & James M. Sallee, 2011. "What Do Consumers Believe About Future Gasoline Prices?," NBER Working Papers 16974, National Bureau of Economic Research, Inc.
- Lutz Kilian, 2016.
"The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices,"
Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 185-205.
- Kilian, Lutz, 2014. "The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices," CEPR Discussion Papers 10304, C.E.P.R. Discussion Papers.
- Lutz Kilian, 2016. "The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices," CESifo Working Paper Series 5723, CESifo.
- Kilian, Lutz, 2014. "The impact of the shale oil revolution on U.S. oil and gasoline prices," CFS Working Paper Series 499, Center for Financial Studies (CFS).
- Lutz Kilian, 2010.
"Explaining Fluctuations in Gasoline Prices: A Joint Model of the Global Crude Oil Market and the U.S. Retail Gasoline Market,"
The Energy Journal, , vol. 31(2), pages 87-112, April.
- Lutz Kilian, 2010. "Explaining Fluctuations in Gasoline Prices: A Joint Model of the Global Crude Oil Market and the U.S. Retail Gasoline Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
- Christoffersen, Peter F & Diebold, Francis X, 1998.
"Cointegration and Long-Horizon Forecasting,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 450-458, October.
- Peter F. Christoffersen & Francis X. Diebold, 1997. "Cointegration and Long-Horizon Forecasting," NBER Technical Working Papers 0217, National Bureau of Economic Research, Inc.
- Peter F. Christoffersen & Francis X. Diebold, 1997. "Cointegration and long-horizon forecasting," Working Papers 97-14, Federal Reserve Bank of Philadelphia.
- Mr. Francis X. Diebold & Mr. Peter F. Christoffersen, 1997. "Cointegration and Long-Horizon Forecasting," IMF Working Papers 1997/061, International Monetary Fund.
- 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.
- Kilian, Lutz & Baumeister, Christiane, 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.
- 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 & Guérin, Pierre & Kilian, Lutz, 2015.
"Do high-frequency financial data help forecast oil prices? The MIDAS touch at work,"
International Journal of Forecasting, Elsevier, vol. 31(2), pages 238-252.
- Kilian, Lutz & Baumeister, Christiane, 2013. "Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work," CEPR Discussion Papers 9768, C.E.P.R. Discussion Papers.
- Christiane Baumeister & Pierre Guérin & Lutz Kilian, 2014. "Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work," Staff Working Papers 14-11, Bank of Canada.
- Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2013. "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," CFS Working Paper Series 2013/22, Center for Financial Studies (CFS).
- Baumeister, Christiane & Kilian, Lutz & Zhou, Xiaoqing, 2018. "Are Product Spreads Useful For Forecasting Oil Prices? An Empirical Evaluation Of The Verleger Hypothesis," Macroeconomic Dynamics, Cambridge University Press, vol. 22(3), pages 562-580, April.
- Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009.
"How Do Gasoline Prices Affect Fleet Fuel Economy?,"
American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.
- Shanjun Li & Roger von Haefen & Christopher Timmins, 2008. "How Do Gasoline Prices Affect Fleet Fuel Economy?," NBER Working Papers 14450, National Bureau of Economic Research, Inc.
- 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.
- Hendry, David F. & Hubrich, Kirstin, 2011.
"Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
- David F. Hendry & Kirstin Hubrich, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 216-227, April.
- Hendry, David F. & Hubrich, Kirstin, 2010. "Combining disaggregate forecasts or combining disaggregate information to forecast an aggregate," Working Paper Series 1155, European Central Bank.
- 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.
- 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 2011-025, Federal Reserve Bank of St. Louis.
- Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers (Old Series) 1120, Federal Reserve Bank of Cleveland.
- Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015.
"Prior Selection for Vector Autoregressions,"
The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
- Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2012. "Prior selection for vector autoregressions," Working Paper Series 1494, European Central Bank.
- Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2012. "Prior Selection for Vector Autoregressions," CEPR Discussion Papers 8755, C.E.P.R. Discussion Papers.
- Domenico Giannone & Michèle Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," Working Papers ECARES ECARES 2012-002, ULB -- Universite Libre de Bruxelles.
- Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," NBER Working Papers 18467, National Bureau of Economic Research, Inc.
- 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 & Lutz Kilian & Xiaoqing Zhou, 2013.
"Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis,"
Staff Working Papers
13-25, Bank of Canada.
- Baumeister, Christiane & Kilian, Lutz, 2013. "Are product spreads useful for forecasting? An empirical evaluation of the Verleger hypothesis," CFS Working Paper Series 2013/09, Center for Financial Studies (CFS).
- Kilian, Lutz & Baumeister, Christiane & Zhou, Xiaoqing, 2013. "Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis," CEPR Discussion Papers 9572, C.E.P.R. Discussion Papers.
- Soren T. Anderson & Ryan Kellogg & James M. Sallee & Richard T. Curtin, 2011. "Forecasting Gasoline Prices Using Consumer Surveys," American Economic Review, American Economic Association, vol. 101(3), pages 110-114, May.
- Sanders, Dwight R. & Manfredo, Mark R. & Boris, Keith, 2009. "Evaluating information in multiple horizon forecasts: The DOE's energy price forecasts," Energy Economics, Elsevier, vol. 31(2), pages 189-196.
- Severin Borenstein & Ryan Kellogg, 2014.
"The Incidence of an Oil Glut: Who Benefits from Cheap Crude Oil in the Midwest?,"
The Energy Journal, , vol. 35(1), pages 15-34, January.
- Severin Borenstein and Ryan Kellogg, 2014. "The Incidence of an Oil Glut: Who Benefits from Cheap Crude Oil in the Midwest?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
- Severin Borenstein & Ryan Kellogg, 2012. "The Incidence of an Oil Glut: Who Benefits from Cheap Crude Oil in the Midwest?," NBER Working Papers 18127, National Bureau of Economic Research, Inc.
- Baumeister, Christiane & Kilian, Lutz & Lee, Thomas K., 2014.
"Are there gains from pooling real-time oil price forecasts?,"
Energy Economics, Elsevier, vol. 46(S1), pages 33-43.
- Christiane Baumeister & Lutz Kilian & Thomas K. Lee, 2014. "Are There Gains from Pooling Real-Time Oil Price Forecasts?," Staff Working Papers 14-46, Bank of Canada.
- Kilian, Lutz & Baumeister, Christiane & Lee, Thomas K, 2014. "Are there Gains from Pooling Real-Time Oil Price Forecasts?," CEPR Discussion Papers 10075, C.E.P.R. Discussion Papers.
- 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.
- Chan, Joshua C.C., 2013.
"Moving average stochastic volatility models with application to inflation forecast,"
Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
- Joshua C C Chan, 2012. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," ANU Working Papers in Economics and Econometrics 2012-591, Australian National University, College of Business and Economics, School of Economics.
- Joshua C.C. Chan, 2013. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," CAMA Working Papers 2013-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Pesaran, M. Hashem & Timmermann, Allan, 2009.
"Testing Dependence Among Serially Correlated Multicategory Variables,"
Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 325-337.
- M. Hashem Pesaran & Allan Timmermann, 2006. "Testing Dependence among Serially Correlated Multi-category Variables," CESifo Working Paper Series 1770, CESifo.
- Pesaran, M.H. & Timmermann, A., 2006. "Testing Dependence Among Serially Correlated Multi-category Variables," Cambridge Working Papers in Economics 0648, Faculty of Economics, University of Cambridge.
- Pesaran, M. Hashem & Timmermann, Allan, 2006. "Testing Dependence among Serially Correlated Multi-Category Variables," IZA Discussion Papers 2196, Institute of Labor Economics (IZA).
- Lutz Kilian & Daniel P. Murphy, 2014.
"The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
- Kilian, Lutz & Murphy, Daniel, 2010. "The Role of Inventories and Speculative Trading in the Global Market for Crude Oil," CEPR Discussion Papers 7753, C.E.P.R. Discussion Papers.
- repec:fip:fedgsq:y:2011:i:apr11 is not listed on IDEAS
- Diebold, Francis X & Kilian, Lutz, 2000.
"Unit-Root Tests Are Useful for Selecting Forecasting Models,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 265-273, July.
- Francis X. Diebold & Lutz Kilian, 1999. "Unit Root Tests are Useful for Selecting Forecasting Models," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-063, New York University, Leonard N. Stern School of Business-.
- Francis X. Diebold & Lutz Kilian, 1999. "Unit Root Tests Are Useful for Selecting Forecasting Models," NBER Working Papers 6928, National Bureau of Economic Research, Inc.
- G. Elliott & C. Granger & A. Timmermann (ed.), 2006. "Handbook of Economic Forecasting," Handbook of Economic Forecasting, Elsevier, edition 1, volume 1, number 1.
- Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
- Hunt Allcott & Nathan Wozny, 2014.
"Gasoline Prices, Fuel Economy, and the Energy Paradox,"
The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 779-795, December.
- Hunt Allcott & Jean-Nathan Wozny, 2010. "Gasoline Prices, Fuel Economy, and the Energy Paradox," Working Papers 1003, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
- Hunt Allcott & Nathan Wozny, 2012. "Gasoline Prices, Fuel Economy, and the Energy Paradox," NBER Working Papers 18583, National Bureau of Economic Research, Inc.
- Nathan Wozny & Hunt Allcott, 2011. "Gasoline Prices, Fuel Economy, and the Energy Paradox," 2011 Meeting Papers 222, Society for Economic Dynamics.
- Raffaella Giacomini & Halbert White, 2006.
"Tests of Conditional Predictive Ability,"
Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
- Raffaella Giacomini & Halbert White, 2003. "Tests of conditional predictive ability," Boston College Working Papers in Economics 572, Boston College Department of Economics.
- Giacomini, Raffaella & White, Halbert, 2003. "Tests of Conditional Predictive Ability," University of California at San Diego, Economics Working Paper Series qt5jk0j5jh, Department of Economics, UC San Diego.
- Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics 0308001, University Library of Munich, Germany.
- Meghan R. Busse & Christopher R. Knittel & Florian Zettelmeyer, 2013. "Are Consumers Myopic? Evidence from New and Used Car Purchases," American Economic Review, American Economic Association, vol. 103(1), pages 220-256, February.
- Justine S. Hastings & Richard J. Gilbert, 2005. "Market Power, Vertical Integration And The Wholesale Price Of Gasoline," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 469-492, December.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Meghan R. Busse & Christopher R. Knittel & Jorge Silva-Risso & Florian Zettelmeyer, 2016.
"Who is exposed to gas prices? How gasoline prices affect automobile manufacturers and dealerships,"
Quantitative Marketing and Economics (QME), Springer, vol. 14(1), pages 41-95, March.
- Meghan R. Busse & Christopher R. Knittel & Florian Zettelmeyer, 2012. "Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships," NBER Working Papers 18610, National Bureau of Economic Research, Inc.
- 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.
- Lance J. Bachmeier & James M. Griffin, 2003.
"New Evidence on Asymmetric Gasoline Price Responses,"
The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 772-776, August.
- Lance J. Bachmeier & James M. Griffin, "undated". "New Evidence on Asymmetric Gasoline Price Responses," Working Papers 0208, East Carolina University, Department of Economics.
- James A. Kahn, 1986. "Gasoline Prices and the Used Automobile Market: A Rational Expectations Asset Price Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 323-339.
- G. Elliott & C. Granger & A. Timmermann (ed.), 2013. "Handbook of Economic Forecasting," Handbook of Economic Forecasting, Elsevier, edition 1, volume 2, number 2.
- Edelstein, Paul & Kilian, Lutz, 2009. "How sensitive are consumer expenditures to retail energy prices?," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 766-779, September.
- Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Marco Barassi & Yuqian Zhao, 2018. "Combination Forecasting of Energy Demand in the UK," The Energy Journal, , vol. 39(1_suppl), pages 209-238, June.
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022.
"Energy Markets and Global Economic Conditions,"
The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," Working Papers 2020_08, Business School - Economics, University of Glasgow.
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," NBER Working Papers 27001, National Bureau of Economic Research, Inc.
- 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," CESifo Working Paper Series 8282, CESifo.
- Christiane Baumeister & Reinhard Ellwanger & Lutz Kilian, 2016.
"Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol?,"
CESifo Working Paper Series
6282, CESifo.
- Baumeister, Christiane & Ellwanger, Reinhard & Kilian, Lutz, 2016. "Did the renewable fuel standard shift market expectations of the price of ethanol?," CFS Working Paper Series 563, Center for Financial Studies (CFS).
- Christiane Baumeister & Reinhard Ellwanger & Lutz Kilian, 2017. "Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol?," Staff Working Papers 17-35, Bank of Canada.
- Baumeister, Christiane & Ellwanger, Reinhard & Kilian, Lutz, 2017. "Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol?," CEPR Discussion Papers 11740, C.E.P.R. Discussion Papers.
- Christiane J.S. Baumeister & Reinhard Ellwanger & Lutz Kilian, 2017. "Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol?," NBER Working Papers 23752, National Bureau of Economic Research, Inc.
- John Coglianese & Lucas W. Davis & Lutz Kilian & James H. Stock, 2017.
"Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
- Coglianese, John & Davis, Lucas W. & Kilian, Lutz & Stock, James H., 2015. "Anticipation, tax avoidance, and the price elasticity of gasoline demand," CFS Working Paper Series 503, Center for Financial Studies (CFS).
- Stock, James & Kilian, Lutz & Davis, Lucas W & Coglianese, John, 2015. "Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand," CEPR Discussion Papers 10430, C.E.P.R. Discussion Papers.
- John Coglianese & Lucas W. Davis & Lutz Kilian & James H. Stock, 2015. "Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand," NBER Working Papers 20980, National Bureau of Economic Research, Inc.
- John Coglianese & Lucas W. Davis & Lutz Kilian & James H. Stock, 2016. "Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand," CESifo Working Paper Series 5764, CESifo.
- Zouhaier Dhifaoui & Sami Ben Jabeur & Rabeh Khalfaoui & Muhammad Ali Nasir, 2023.
"Time‐varying partial‐directed coherence approach to forecast global energy prices with stochastic volatility model,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2292-2306, December.
- Zouhaier Dhifaoui & Sami Ben Jabeur & Rabeh Khalfaoui & Muhammad Ali Nasir, 2023. "Time‐varying partial‐directed coherence approach to forecast global energy prices with stochastic volatility model," Post-Print hal-04296385, HAL.
- Christiane Baumeister & Lutz Kilian, 2016.
"Lower Oil Prices and the U.S. Economy: Is This Time Different?,"
Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 287-357.
- Christiane Baumeister & Lutz Kilian, 2017. "Lower Oil Prices and the U.S. Economy: Is this Time Different?," CESifo Working Paper Series 6322, CESifo.
- Baumeister, Christiane & Kilian, Lutz, 2017. "Lower Oil Prices and the U.S. Economy: Is This Time Different?," CEPR Discussion Papers 11792, C.E.P.R. Discussion Papers.
- Feng Xu & Mohamad Sepehri & Jian Hua & Sergey Ivanov & Julius N. Anyu, 2018. "Time-Series Forecasting Models for Gasoline Prices in China," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-43, December.
- Reinhard Ellwanger, Stephen Snudden, 2021. "Predictability of Aggregated Time Series," LCERPA Working Papers bm0127, Laurier Centre for Economic Research and Policy Analysis.
- Gupta, Rangan & Yoon, Seong-Min, 2018.
"OPEC news and predictability of oil futures returns and volatility: Evidence from a nonparametric causality-in-quantiles approach,"
The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 206-214.
- Rangan Gupta & Seong-Min Yoon, 2017. "OPEC News and Predictability of Oil Futures Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantiles Approach," Working Papers 201726, University of Pretoria, Department of Economics.
- 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).
- Ellwanger, Reinhard & Snudden, Stephen, 2023. "Forecasts of the real price of oil revisited: Do they beat the random walk?," Journal of Banking & Finance, Elsevier, vol. 154(C).
- Binder, Carola Conces, 2018. "Inflation expectations and the price at the pump," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 1-18.
- Sameh Asim Ajlouni & Moh'd Taleb Alodat, 2021. "Gaussian Process Regression for Forecasting Gasoline Prices in Jordan," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 502-509.
- Markos Farag, Stephen Snudden, Greg Upton, 2024. "Can Futures Prices Predict the Real Price of Primary Commodities?," LCERPA Working Papers jc0145, Laurier Centre for Economic Research and Policy Analysis, revised 2024.
- Rangan Gupta & Christian Pierdzioch & Aviral K. Tiwari, 2024. "Gasoline Prices and Presidential Approval Ratings of the United States," Working Papers 202427, University of Pretoria, Department of Economics.
- Christiane Baumeister & Lutz Killian, 2016.
"Lower Oil Prices and the U.S. Economy: Is This Time Different?,"
Brookings Papers on Economic Activity,
Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 287-357.
- Christiane Baumeister & Lutz Kilian, 2017. "Lower Oil Prices and the U.S. Economy: Is this Time Different?," CESifo Working Paper Series 6322, CESifo Group Munich.
- Baumeister, Christiane & Kilian, Lutz, 2017. "Lower Oil Prices and the U.S. Economy: Is This Time Different?," CEPR Discussion Papers 11792, C.E.P.R. Discussion Papers.
- 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.
- Arunanondchai, Panit & Senia, Mark C. & Capps, Oral, Jr., 2017.
"Can U.S. EIA Retail Gasoline Price Forecasts Be Improved Upon?,"
Reports
285201, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
- Arunanondchai, Panit & Senia, Mark C. & Capps, Oral Jr, 2017. "Can U.S. EIA Retail Gasoline Price Forecasts Be Improved Upon?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252717, Southern Agricultural Economics Association.
- Bumpass, Donald & Douglas, Christopher & Ginn, Vance & Tuttle, M.H., 2019. "Testing for short and long-run asymmetric responses and structural breaks in the retail gasoline supply chain," Energy Economics, Elsevier, vol. 83(C), pages 311-318.
- Reinhard Ellwanger, Stephen Snudden, Lenin Arango-Castillo, 2023. "Seize the Last Day: Period-End-Point Sampling for Forecasts of Temporally Aggregated Data," LCERPA Working Papers bm0142, Laurier Centre for Economic Research and Policy Analysis.
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.- 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).
- Baumeister, Christiane & Kilian, Lutz & Lee, Thomas K., 2014.
"Are there gains from pooling real-time oil price forecasts?,"
Energy Economics, Elsevier, vol. 46(S1), pages 33-43.
- Christiane Baumeister & Lutz Kilian & Thomas K. Lee, 2014. "Are There Gains from Pooling Real-Time Oil Price Forecasts?," Staff Working Papers 14-46, Bank of Canada.
- Kilian, Lutz & Baumeister, Christiane & Lee, Thomas K, 2014. "Are there Gains from Pooling Real-Time Oil Price Forecasts?," CEPR Discussion Papers 10075, C.E.P.R. Discussion Papers.
- Kilian, Lutz & Baumeister, Christiane, 2014.
"A General Approach to Recovering Market Expectations from Futures Prices With an Application to Crude Oil,"
CEPR Discussion Papers
10162, C.E.P.R. Discussion Papers.
- Christiane Baumeister & Lutz Kilian, 2016. "A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil," Staff Working Papers 16-18, Bank of Canada.
- Christiane Baumeister & Lutz Kilian, 2016. "A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil," CESifo Working Paper Series 5782, CESifo.
- Baumeister, Christiane & Kilian, Lutz, 2014. "A general approach to recovering market expectations from futures prices with an application to crude oil," CFS Working Paper Series 466, Center for Financial Studies (CFS).
- Degiannakis, Stavros & Filis, George, 2018. "Forecasting oil prices: High-frequency financial data are indeed useful," Energy Economics, Elsevier, vol. 76(C), pages 388-402.
- Alquist, Ron & Kilian, Lutz & Vigfusson, Robert J., 2013.
"Forecasting the Price of Oil,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 427-507,
Elsevier.
- Ron Alquist & Lutz Kilian & Robert Vigfusson, 2011. "Forecasting the Price of Oil," Staff Working Papers 11-15, Bank of Canada.
- Ron Alquist & Lutz Kilian & Robert J. Vigfusson, 2011. "Forecasting the price of oil," International Finance Discussion Papers 1022, Board of Governors of the Federal Reserve System (U.S.).
- Kilian, Lutz & Alquist, Ron & Vigfusson, Robert J., 2011. "Forecasting the Price of Oil," CEPR Discussion Papers 8388, C.E.P.R. Discussion Papers.
- Funk, Christoph, 2018. "Forecasting the real price of oil - Time-variation and forecast combination," Energy Economics, Elsevier, vol. 76(C), pages 288-302.
- Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2015.
"Do high-frequency financial data help forecast oil prices? The MIDAS touch at work,"
International Journal of Forecasting, Elsevier, vol. 31(2), pages 238-252.
- Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2013. "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," CFS Working Paper Series 2013/22, Center for Financial Studies (CFS).
- Kilian, Lutz & Baumeister, Christiane, 2013. "Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work," CEPR Discussion Papers 9768, C.E.P.R. Discussion Papers.
- Christiane Baumeister & Pierre Guérin & Lutz Kilian, 2014. "Do High-Frequency Financial Data Help Forecast Oil Prices? The MIDAS Touch at Work," Staff Working Papers 14-11, Bank of Canada.
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022.
"Energy Markets and Global Economic Conditions,"
The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," Working Papers 2020_08, Business School - Economics, University of Glasgow.
- Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020. "Energy Markets and Global Economic Conditions," NBER Working Papers 27001, National Bureau of Economic Research, Inc.
- 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," CESifo Working Paper Series 8282, CESifo.
- Snudden, Stephen, 2018. "Targeted growth rates for long-horizon crude oil price forecasts," International Journal of Forecasting, Elsevier, vol. 34(1), pages 1-16.
- Dbouk, Wassim & Jamali, Ibrahim, 2018. "Predicting daily oil prices: Linear and non-linear models," Research in International Business and Finance, Elsevier, vol. 46(C), pages 149-165.
- Wang, Yudong & Hao, Xianfeng, 2022. "Forecasting the real prices of crude oil: A robust weighted least squares approach," Energy Economics, Elsevier, vol. 116(C).
- Christiane Baumeister & Lutz Kilian, 2014.
"What Central Bankers Need To Know About Forecasting Oil Prices,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 869-889, August.
- Kilian, Lutz & Baumeister, Christiane, 2012. "What Central Bankers Need to Know about Forecasting Oil Prices," CEPR Discussion Papers 9118, C.E.P.R. Discussion Papers.
- Christiane Baumeister & Lutz Kilian, 2013. "What Central Bankers Need to Know about Forecasting Oil Prices," Staff Working Papers 13-15, Bank of Canada.
- Christiane Baumeister & Lutz Kilian & Xiaoqing Zhou, 2013.
"Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis,"
Staff Working Papers
13-25, Bank of Canada.
- Kilian, Lutz & Baumeister, Christiane & Zhou, Xiaoqing, 2013. "Are Product Spreads Useful for Forecasting? An Empirical Evaluation of the Verleger Hypothesis," CEPR Discussion Papers 9572, C.E.P.R. Discussion Papers.
- Baumeister, Christiane & Kilian, Lutz, 2013. "Are product spreads useful for forecasting? An empirical evaluation of the Verleger hypothesis," CFS Working Paper Series 2013/09, Center for Financial Studies (CFS).
- Hao, Xianfeng & Zhao, Yuyang & Wang, Yudong, 2020. "Forecasting the real prices of crude oil using robust regression models with regularization constraints," Energy Economics, Elsevier, vol. 86(C).
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Reinhard Ellwanger, Stephen Snudden, 2021. "Predictability of Aggregated Time Series," LCERPA Working Papers bm0127, Laurier Centre for Economic Research and Policy Analysis.
- Ellwanger, Reinhard & Snudden, Stephen, 2023. "Forecasts of the real price of oil revisited: Do they beat the random walk?," Journal of Banking & Finance, Elsevier, vol. 154(C).
- Wang, Yudong & Hao, Xianfeng, 2023. "Forecasting the real prices of crude oil: What is the role of parameter instability?," Energy Economics, Elsevier, vol. 117(C).
- Bernard, Jean-Thomas & Khalaf, Lynda & Kichian, Maral & Yelou, Clement, 2018.
"Oil Price Forecasts For The Long Term: Expert Outlooks, Models, Or Both?,"
Macroeconomic Dynamics, Cambridge University Press, vol. 22(3), pages 581-599, April.
- Jean-Thomas Bernard & Lynda Khalaf & Maral Kichian & Clement Yelou, 2015. "Oil Price Forecasts for the Long-Term: Expert Outlooks, Models, or Both?," Working Papers 1508E, University of Ottawa, Department of Economics.
- Jean-Thomas Bernard & Lynda Khalaf & Maral Kichian & Clement Yelou, 2015. "Oil Price Forecasts for the Long-Term: Expert Outlooks, Models, or Both?," Cahiers de recherche CREATE 2015-3, CREATE.
- Jean-Thomas Bernard & Lynda Khalaf & Maral Kichian & Clement Yelou, 2015. "Oil Price Forecasts for the Long-Term: Expert Outlooks, Models, or Both?," Working Papers 1510E, University of Ottawa, Department of Economics.
- Bernard, Jean-Thomas & Khalaf, Lynda & Kichian, Maral & Yelou, Clement, 2015. "Oil Price Forecasts for the Long-Term: Expert Outlooks, Models, or Both?," Working Papers 208082, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
- 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.
- Kilian, Lutz & Baumeister, Christiane, 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.
- 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).
More about this item
JEL classification:
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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:wly:japmet:v:32:y:2017:i:2:p:275-295. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.