IDEAS home Printed from https://ideas.repec.org/p/diw/diwwpp/dp1186.html
   My bibliography  Save this paper

Long Memory in German Energy Price Indices

Author

Listed:
  • Carlos P. Barros
  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana

Abstract

This study examines the long-memory properties of German energy price indices (specifically, import and export prices, as well as producer and consumer prices) for hard coal, lignite, mineral oil and natural gas adopting a fractional integration modelling framework. The analysis is undertaken using monthly data from January 2000 to August 2011. The results suggest nonstationary long memory in the series (with orders of integration equal to or higher than 1) when breaks are not allowed for. However, endogenous break tests indicate a single break in all series except for producer prices for lignite for which two breaks are detected. When such breaks are taken into account, and with autocorrelated disturbances, evidence of mean reversion is found in practically all cases.

Suggested Citation

  • Carlos P. Barros & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2012. "Long Memory in German Energy Price Indices," Discussion Papers of DIW Berlin 1186, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp1186
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.392313.de/dp1186.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Kumar Narayan, Paresh & Smyth, Russell, 2007. "Are shocks to energy consumption permanent or temporary? Evidence from 182 countries," Energy Policy, Elsevier, vol. 35(1), pages 333-341, January.
    3. Tsoskounoglou, Miltos & Ayerides, George & Tritopoulou, Efi, 2008. "The end of cheap oil: Current status and prospects," Energy Policy, Elsevier, vol. 36(10), pages 3797-3806, October.
    4. Bhaskara Rao, B. & Rao, Gyaneshwar, 2009. "Structural breaks and energy efficiency in Fiji," Energy Policy, Elsevier, vol. 37(10), pages 3959-3966, October.
    5. Mohn, Klaus & Osmundsen, Petter, 2008. "Exploration economics in a regulated petroleum province: The case of the Norwegian Continental Shelf," Energy Economics, Elsevier, vol. 30(2), pages 303-320, March.
    6. Lean, Hooi Hooi & Smyth, Russell, 2009. "Long memory in US disaggregated petroleum consumption: Evidence from univariate and multivariate LM tests for fractional integration," Energy Policy, Elsevier, vol. 37(8), pages 3205-3211, August.
    7. Yin‐Wong Cheung, 1993. "Tests For Fractional Integration:A Monte Carlo Investigation," Journal of Time Series Analysis, Wiley Blackwell, vol. 14(4), pages 331-345, July.
    8. Robinson, P.M. & Henry, M., 1999. "Long And Short Memory Conditional Heteroskedasticity In Estimating The Memory Parameter Of Levels," Econometric Theory, Cambridge University Press, vol. 15(3), pages 299-336, June.
    9. Gil-Alana, Luis A. & Loomis, David & Payne, James E., 2010. "Does energy consumption by the US electric power sector exhibit long memory behavior?," Energy Policy, Elsevier, vol. 38(11), pages 7512-7518, November.
    10. Philippe Vassilopoulos, 2010. "Price Signals in "Energy-only" Wholesale Electricity Markets: An Empirical Analysis of the Price Signal in France," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 83-112.
    11. Granger, Clive W. J. & Hyung, Namwon, 2004. "Occasional structural breaks and long memory with an application to the S&P 500 absolute stock returns," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 399-421, June.
    12. 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.
    13. Luis A. Gil‐Alana, 2008. "Fractional integration and structural breaks at unknown periods of time," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 163-185, January.
    14. Thomas Mikosch & Catalin Starica, 2004. "Non-stationarities in financial time series, the long range dependence and the IGARCH effects," Econometrics 0412005, University Library of Munich, Germany.
    15. Abadir, Karim M. & Distaso, Walter & Giraitis, Liudas, 2007. "Nonstationarity-extended local Whittle estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 1353-1384, December.
    16. Apostolos Serletis, 2007. "Maturity Effects in Energy Futures," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 3, pages 23-37, World Scientific Publishing Co. Pte. Ltd..
    17. Hsu, Yi-Chung & Lee, Chien-Chiang & Lee, Chi-Chuan, 2008. "Revisited: Are shocks to energy consumption permanent or temporary? New evidence from a panel SURADF approach," Energy Economics, Elsevier, vol. 30(5), pages 2314-2330, September.
    18. John Elder & Apostolos Serletis, 2008. "Long memory in energy futures prices," Review of Financial Economics, John Wiley & Sons, vol. 17(2), pages 146-155.
    19. Diebold, Francis X. & Inoue, Atsushi, 2001. "Long memory and regime switching," Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November.
    20. Jing Li & Henry Thompson, 2010. "A Note on the Oil Price Trend and GARCH Shocks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 159-166.
    21. Chen, Pei-Fen & Lee, Chien-Chiang, 2007. "Is energy consumption per capita broken stationary? New evidence from regional-based panels," Energy Policy, Elsevier, vol. 35(6), pages 3526-3540, June.
    22. Boone, Jeff P., 2001. "Empirical evidence for the superiority of non-US oil and gas investments," Energy Economics, Elsevier, vol. 23(2), pages 211-226, March.
    23. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2011. "An analysis of oil production by OPEC countries: Persistence, breaks, and outliers," Energy Policy, Elsevier, vol. 39(1), pages 442-453, January.
    24. Thomas Mikosch & Cătălin Stărică, 2004. "Nonstationarities in Financial Time Series, the Long-Range Dependence, and the IGARCH Effects," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 378-390, February.
    25. M. Hakan Berument & Nildag Basak Ceylan & Nukhet Dogan, 2010. "The Impact of Oil Price Shocks on the Economic Growth of Selected MENA1 Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 149-176.
    26. Karbassi, A.R. & Abduli, M.A. & Mahin Abdollahzadeh, E., 2007. "Sustainability of energy production and use in Iran," Energy Policy, Elsevier, vol. 35(10), pages 5171-5180, October.
    27. Mishra, Vinod & Sharma, Susan & Smyth, Russell, 2009. "Are fluctuations in energy consumption per capita transitory? Evidence from a panel of Pacific Island countries," Energy Policy, Elsevier, vol. 37(6), pages 2318-2326, June.
    28. Kang, Sang Hoon & Kang, Sang-Mok & Yoon, Seong-Min, 2009. "Forecasting volatility of crude oil markets," Energy Economics, Elsevier, vol. 31(1), pages 119-125, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luis A. Gil-Alana & Goodness C. Aye & Rangan Gupta, 2012. "Testing for Persistence with Breaks and Outliers in South African House Prices," Working Papers 201233, University of Pretoria, Department of Economics.

    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.
    1. Carlos Pestana Barros & Luis A. Gil-Alana, 2011. "Oil Prices: Persistence and Breaks," Faculty Working Papers 09/11, School of Economics and Business Administration, University of Navarra.
    2. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2011. "An analysis of oil production by OPEC countries: Persistence, breaks, and outliers," Energy Policy, Elsevier, vol. 39(1), pages 442-453, January.
    3. Pestana Barros, Carlos & Gil-Alana, Luis A. & Payne, James E., 2012. "Evidence of long memory behavior in U.S. renewable energy consumption," Energy Policy, Elsevier, vol. 41(C), pages 822-826.
    4. Barros, Carlos P. & Gil-Alana, Luis A. & Wanke, Peter, 2016. "Energy production in Brazil: Empirical facts based on persistence, seasonality and breaks," Energy Economics, Elsevier, vol. 54(C), pages 88-95.
    5. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2013. "U.S. Disaggregated renewable energy consumption: Persistence and long memory behavior," Energy Economics, Elsevier, vol. 40(C), pages 425-432.
    6. Guglielmo Caporale & Luis Gil-Alana, 2013. "Long memory in US real output per capita," Empirical Economics, Springer, vol. 44(2), pages 591-611, April.
    7. Meng, Ming & Payne, James E. & Lee, Junsoo, 2013. "Convergence in per capita energy use among OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 536-545.
    8. Golpe, Antonio A. & Carmona, Monica & Congregado, Emilio, 2012. "Persistence in natural gas consumption in the US: An unobserved component model," Energy Policy, Elsevier, vol. 46(C), pages 594-600.
    9. Apergis, Nicholas & Tsoumas, Chris, 2011. "Integration properties of disaggregated solar, geothermal and biomass energy consumption in the U.S," Energy Policy, Elsevier, vol. 39(9), pages 5474-5479, September.
    10. Juan Carlos Cuestas & Luis A. Gil-Alana & Karl Taylor, 2016. "Inflation convergence in Central and Eastern Europe vs. the Eurozone: Non-linearities and long memory," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(5), pages 519-538, November.
    11. Lean, Hooi Hooi & Smyth, Russell, 2013. "Are fluctuations in US production of renewable energy permanent or transitory?," Applied Energy, Elsevier, vol. 101(C), pages 483-488.
    12. Lean, Hooi Hooi & Smyth, Russell, 2014. "Will initiatives to promote hydroelectricity consumption be effective? Evidence from univariate and panel LM unit root tests with structural breaks," Energy Policy, Elsevier, vol. 68(C), pages 102-115.
    13. Suleyman Bolat & Murat Belke & Necati Celik, 2013. "Mean Reverting Behavior of Energy Consumption: Evidence from Selected MENA Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 315-320.
    14. Arouri, Mohamed El Hédi & Lahiani, Amine & Lévy, Aldo & Nguyen, Duc Khuong, 2012. "Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models," Energy Economics, Elsevier, vol. 34(1), pages 283-293.
    15. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    16. Lean, Hooi Hooi & Smyth, Russell, 2013. "Will policies to promote renewable electricity generation be effective? Evidence from panel stationarity and unit root tests for 115 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 371-379.
    17. Lean, Hooi Hooi & Smyth, Russell, 2009. "Long memory in US disaggregated petroleum consumption: Evidence from univariate and multivariate LM tests for fractional integration," Energy Policy, Elsevier, vol. 37(8), pages 3205-3211, August.
    18. Smyth, Russell, 2013. "Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production," Applied Energy, Elsevier, vol. 104(C), pages 371-378.
    19. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    20. 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.

    More about this item

    Keywords

    Energy prices; Germany; fractional integration; persistence; breaks and outliers;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:diw:diwwpp:dp1186. 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: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.