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Date stamping historical oil price bubbles: 1876 - 2014

Author

Listed:
  • Itamar Caspi

    (Research Department, Bank of Israel)

  • Nico Katzke

    (Department of Economics, University of Stellenbosch)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

Abstract

This paper sets out to date-stamp periods of historic oil price explosivity (or bubbles) using the Generalized sup ADF (GSADF) test procedure suggested by Phillips et al. (2013). The date-stamping strategy used in this paper is effective at identifying periodically collapsing bubbles; a feature found lacking with previous bubble detecting methods. We set out to identify bubbles in the real price and the nominal price-supply ratio of oil for the period 1876 - 2014. The recursive identification algorithms used in this study identifies several periods of significant explosivity, and as such provides future researchers with a reference for studying the macroeconomic impact of historical periods of significant oil price build-ups.

Suggested Citation

  • Itamar Caspi & Nico Katzke & Rangan Gupta, 2014. "Date stamping historical oil price bubbles: 1876 - 2014," Working Papers 20/2014, Stellenbosch University, Department of Economics.
    • Handle: RePEc:sza:wpaper:wpapers225
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    References listed on IDEAS

    as
    1. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    2. William A. Branch & George W. Evans, 2011. "Learning about Risk and Return: A Simple Model of Bubbles and Crashes," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 159-191, July.
    3. Peter C. B. Phillips & Jun Yu, 2011. "Dating the timeline of financial bubbles during the subprime crisis," Quantitative Economics, Econometric Society, vol. 2(3), pages 455-491, November.
    4. Peter C. B. Phillips & Yangru Wu & Jun Yu, 2011. "EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(1), pages 201-226, February.
    5. Areal, Francisco José & Balcombe, Kevin & Rapsomanikis, George, 2016. "Testing for bubbles in agriculture commodity markets," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
    6. Diba, Behzad T & Grossman, Herschel I, 1988. "Explosive Rational Bubbles in Stock Prices?," American Economic Review, American Economic Association, vol. 78(3), pages 520-530, June.
    7. William A. Branch & George W. Evans, 2011. "Learning about Risk and Return: A Simple Model of Bubbles and Crashes," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 159-191, July.
    8. Lammerding, Marc & Stephan, Patrick & Trede, Mark & Wilfling, Bernd, 2013. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," Energy Economics, Elsevier, vol. 36(C), pages 491-502.
    9. Bettendorf, Timo & Chen, Wenjuan, 2013. "Are there bubbles in the Sterling-dollar exchange rate? New evidence from sequential ADF tests," Economics Letters, Elsevier, vol. 120(2), pages 350-353.
    10. Evans, George W, 1991. "Pitfalls in Testing for Explosive Bubbles in Asset Prices," American Economic Review, American Economic Association, vol. 81(4), pages 922-930, September.
    11. Shi, Shuping & Arora, Vipin, 2012. "An application of models of speculative behaviour to oil prices," Economics Letters, Elsevier, vol. 115(3), pages 469-472.
    12. Phillips, Peter C.B. & Magdalinos, Tassos, 2007. "Limit theory for moderate deviations from a unit root," Journal of Econometrics, Elsevier, vol. 136(1), pages 115-130, January.
    13. Caspi, Itamar, 2013. "Rtadf: Testing for Bubbles with EViews," MPRA Paper 58791, University Library of Munich, Germany, revised 06 Sep 2014.
    14. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2014. "Bubbles in food commodity markets: Four decades of evidence," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 129-155.
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    Cited by:

    1. Iliyasu, Jamilu & Rafindadi Sanusi, Aliyu & Suleiman, Dahiru, 2019. "Testing For Multiple Bubble Episodes In Nigerian Stock Exchange Market," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 6(6), pages 13-26, June.
    2. Panagiotis Petris & George Dotsis & Panayotis Alexakis, 2022. "Bubble tests in the London housing market: A borough level analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1044-1063, January.
    3. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick & Paraskevopoulos, Ioannis, 2020. "Mild explosivity in recent crude oil prices," Energy Economics, Elsevier, vol. 87(C).
    4. Ayben Koy, 2022. "Regime Switching Mechanism during Energy Futures Price Bubbles," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 373-382.
    5. Gomis-Porqueras, Pedro & Shi, Shuping & Tan, David, 2022. "Gold as a financial instrument," Journal of Commodity Markets, Elsevier, vol. 27(C).
    6. Caramugan, Karlo Martin & Bayacag, Purisima, 2016. "Price Bubble in Selected ASEAN Agricultural Exports: An Application of the Generalized Supremum Augmented Dickey Fuller," MPRA Paper 74807, University Library of Munich, Germany.
    7. El Montasser, Ghassen & Gupta, Rangan & Martins, Andre Luis & Wanke, Peter, 2015. "Are there multiple bubbles in the ethanol–gasoline price ratio of Brazil?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 19-23.

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    More about this item

    Keywords

    Oil-prices; Date-Stamping Strategy; Periodically Collapsing Bubbles; Explosivity; Flexible Window; GSADF Test; Commodity Price Bubbles;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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