IDEAS home Printed from https://ideas.repec.org/a/cpn/umkdem/v17y2017p129-145.html
   My bibliography  Save this article

Regime-dependent Assessment of Risk Concerning the International Aviation Inclusion Into the EU ETS

Author

Listed:
  • Aneta Wlodarczyk

    (Czestochowa University of Technology)

Abstract

In this article the European Union Aviation Allowances (EUAA) price risk, associated with the activity of aircraft operators within the European Economic Area (EEA), has been evaluated across the low and high volatility periods occurring on the carbon permits market. It is found that Markov-switching heteroscedasticity models distinguish well between two volatility regimes, as well as three volatility regimes on the EUAA futures market, and that the assess-ments of EUAA price risk are clearly different in the regimes. These findings may be explained by the European Union Emission Trading Scheme (EU ETS) design and the changes in both the EU climate policy rules and global regulations in the scope of CO2 emissions by international aviation.

Suggested Citation

  • Aneta Wlodarczyk, 2017. "Regime-dependent Assessment of Risk Concerning the International Aviation Inclusion Into the EU ETS," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 129-145.
    • Handle: RePEc:cpn:umkdem:v:17:y:2017:p:129-145
    as

    Download full text from publisher

    File URL: https://apcz.umk.pl/DEM/article/view/DEM.2017.008/13877
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015. "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, vol. 82(C), pages 321-331.
    2. Ko, Young Dae & Jang, Young Jae & Kim, Dae Young, 2017. "Strategic airline operation considering the carbon constrained air transport industry," Journal of Air Transport Management, Elsevier, vol. 62(C), pages 1-9.
    3. Chin, Anthony T.H. & Zhang, Peng, 2013. "Carbon emission allocation methods for the aviation sector," Journal of Air Transport Management, Elsevier, vol. 28(C), pages 70-76.
    4. Meleo, Linda & Nava, Consuelo R. & Pozzi, Cesare, 2016. "Aviation and the costs of the European Emission Trading Scheme: The case of Italy," Energy Policy, Elsevier, vol. 88(C), pages 138-147.
    5. Ang, Andrew & Bekaert, Geert, 2002. "Regime Switches in Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-182, April.
    6. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    7. Psaradakis, Zacharias & Sola, Martin, 1998. "Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching," Journal of Econometrics, Elsevier, vol. 86(2), pages 369-386, June.
    Full references (including those not matched with items on IDEAS)

    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. Smith, Aaron & Naik, Prasad A. & Tsai, Chih-Ling, 2006. "Markov-switching model selection using Kullback-Leibler divergence," Journal of Econometrics, Elsevier, vol. 134(2), pages 553-577, October.
    2. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    3. Yuan, Chunming, 2011. "The exchange rate and macroeconomic determinants: Time-varying transitional dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 22(2), pages 197-220, August.
    4. Baele, Lieven, 2005. "Volatility Spillover Effects in European Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(2), pages 373-401, June.
    5. Huiming Zhu & Xianfang Su & Wanhai You & Yinghua Ren, 2017. "Asymmetric effects of oil price shocks on stock returns: evidence from a two-stage Markov regime-switching approach," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2491-2507, May.
    6. Londoño Yarce, Juan Miguel & Regúlez Castillo, Marta & Vázquez Pérez, Jesús, 2014. "An Alternative View of the US Price-Dividend Ratio Dynamics," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    7. Sean D. Campbell, 2002. "Specification Testing and Semiparametric Estimation of Regime Switching Models: An Examination of the US Short Term Interest Rate," Working Papers 2002-26, Brown University, Department of Economics.
    8. Balcilar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2013. "Investor herds and regime-switching: Evidence from Gulf Arab stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 295-321.
    9. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Ahmed Khalifa, 2013. "Do Global Shocks Drive Investor Herds in Oil-Rich Frontier Markets?," Working Papers 819, Economic Research Forum, revised Dec 2013.
    10. Nava, Consuelo R. & Meleo, Linda & Cassetta, Ernesto & Morelli, Giovanna, 2018. "The impact of the EU-ETS on the aviation sector: Competitive effects of abatement efforts by airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 20-34.
    11. Miao, Daniel Wei-Chung & Wu, Chun-Chou & Su, Yi-Kai, 2013. "Regime-switching in volatility and correlation structure using range-based models with Markov-switching," Economic Modelling, Elsevier, vol. 31(C), pages 87-93.
    12. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.
    13. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 1210, University of Nevada, Las Vegas , Department of Economics.
    14. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2017. "The impact of oil-market shocks on stock returns in major oil-exporting countries: A Markov-switching approach," MPRA Paper 81638, University Library of Munich, Germany.
    15. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2020. "Markov-Switching Stochastic Processes in an Active Trading Algorithm in the Main Latin-American Stock Markets," Mathematics, MDPI, vol. 8(6), pages 1-23, June.
    16. repec:ipg:wpaper:2014-500 is not listed on IDEAS
    17. Hans-Martin Krolzig & Juan Toro, 2004. "Classical and modern business cycle measurement: The European case," Spanish Economic Review, Springer;Spanish Economic Association, vol. 7(1), pages 1-21, January.
    18. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    19. Jean-Marie Dufour & Richard Luger, 2017. "Identification-robust moment-based tests for Markov switching in autoregressive models," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 713-727, October.
    20. Hiroshi Ishijima & Masaki Uchida, 2011. "Log Mean-Variance Portfolio Selection Under Regime Switching," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(2), pages 213-229, May.
    21. Kerekes, Monika, 2009. "Growth miracles and failures in a Markov switching classification model of growth," Discussion Papers 2009/11, Free University Berlin, School of Business & Economics.

    More about this item

    Keywords

    European Union Aviation Allowances; EU Emission Trading Scheme; Markov-switching model; risk;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    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:cpn:umkdem:v:17:y:2017:p:129-145. 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: Miroslawa Buczynska (email available below). General contact details of provider: http://www.wydawnictwoumk.pl .

    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.