IDEAS home Printed from https://ideas.repec.org/p/vuw/vuwcsr/19257.html
   My bibliography  Save this paper

Electricity Market Operation: Transitioning from a Free Market to a Single Buyer structure: An econometric analysis of the Brazilian case using a Two-State Markov Switching Model

Author

Listed:
  • Daglish, Toby
  • de Braganca, Gabriel
  • Owen, Sally
  • Romano, Teresa

Abstract

We examine electricity market reform in Brazil: from the 1990s till 2004 the largely hydro-powered market cleared using a market mechanism, and in March 2004 reformed to a single buyer structure. We model day-ahead returns using a Two-State Markov Switching Model with dummy variable analysis, allowing water storage and natural inflows to affect returns and volatility. Our results indicate the single buyer structure decreased volatility during stable periods but worsened energy crises. Post-reform, we find a more forgiving environment for the allocation of stored energy given natural water inflows, however sub-optimal water management leads to energy crises developing.

Suggested Citation

  • Daglish, Toby & de Braganca, Gabriel & Owen, Sally & Romano, Teresa, 2015. "Electricity Market Operation: Transitioning from a Free Market to a Single Buyer structure: An econometric analysis of the Brazilian case using a Two-State Markov Switching Model," Working Paper Series 19257, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
  • Handle: RePEc:vuw:vuwcsr:19257
    as

    Download full text from publisher

    File URL: https://ir.wgtn.ac.nz/handle/123456789/19257
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ramos-Real, Francisco Javier & Tovar, Beatriz & Iootty, Mariana & de Almeida, Edmar Fagundes & Pinto Jr., Helder Queiroz, 2009. "The evolution and main determinants of productivity in Brazilian electricity distribution 1998-2005: An empirical analysis," Energy Economics, Elsevier, vol. 31(2), pages 298-305, March.
    2. Carpio, Lucio Guido Tapia & Pereira, Amaro Jr., 2007. "Economical efficiency of coordinating the generation by subsystems with the capacity of transmission in the Brazilian market of electricity," Energy Economics, Elsevier, vol. 29(3), pages 454-466, May.
    3. repec:dau:papers:123456789/5450 is not listed on IDEAS
    4. Santos, Gervasio F. & Haddad, Eduardo A. & Hewings, Geoffrey J.D., 2013. "Energy policy and regional inequalities in the Brazilian economy," Energy Economics, Elsevier, vol. 36(C), pages 241-255.
    5. Tovar, Beatriz & Javier Ramos-Real, Francisco & de Almeida, Edmar Fagundes, 2011. "Firm size and productivity. Evidence from the electricity distribution industry in Brazil," Energy Policy, Elsevier, vol. 39(2), pages 826-833, February.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Rego, Erik Eduardo & Parente, Virginia, 2013. "Brazilian experience in electricity auctions: Comparing outcomes from new and old energy auctions as well as the application of the hybrid Anglo-Dutch design," Energy Policy, Elsevier, vol. 55(C), pages 511-520.
    8. Serra, Pablo, 2013. "Contract market power and its impact on the efficiency of the electricity sector," Energy Policy, Elsevier, vol. 61(C), pages 653-662.
    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. Daglish, Toby & de Braganca, Gabriel & Owen, Sally & Romano, Teresa, 2015. "Electricity Market Operation: Transitioning from a Free Market to a Single Buyer structure: An econometric analysis of the Brazilian case using a Two-State Markov Switching Model," Working Paper Series 4181, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    2. repec:vuw:vuwscr:19257 is not listed on IDEAS
    3. Daglish, Toby & de Bragança, Gabriel Godofredo Fiuza & Owen, Sally & Romano, Teresa, 2021. "Pricing effects of the electricity market reform in Brazil," Energy Economics, Elsevier, vol. 97(C).
    4. Ajayi, Victor & Anaya, Karim & Pollitt, Michael, 2022. "Incentive regulation, productivity growth and environmental effects: the case of electricity networks in Great Britain," Energy Economics, Elsevier, vol. 115(C).
    5. Brandão, Roberto & Tolmasquim, Maurício T. & Maestrini, Marcelo & Tavares, Arthur Felipe & Castro, Nivalde J. & Ozorio, Luiz & Chaves, Ana Carolina, 2021. "Determinants of the economic performance of Brazilian electricity distributors," Utilities Policy, Elsevier, vol. 68(C).
    6. Raúl Pérez-Reyes & Beatriz Tovar, 2021. "Peruvian Electrical Distribution Firms’ Efficiency Revisited: A Two-Stage Data Envelopment Analysis," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    7. de Oliveira, Francisco Alexandre & de Paiva, Anderson Paulo & Lima, José Wanderley Marangon & Balestrassi, Pedro Paulo & Mendes, Ronã Rinston Amaury, 2011. "Portfolio optimization using Mixture Design of Experiments: Scheduling trades within electricity markets," Energy Economics, Elsevier, vol. 33(1), pages 24-32, January.
    8. Machado, Mauricio Marins & de Sousa, Maria Conceição Sampaio & Hewings, Geoffrey, 2016. "Economies of scale and technological progress in electric power production: The case of Brazilian utilities," Energy Economics, Elsevier, vol. 59(C), pages 290-299.
    9. Losekann, Luciano & Marrero, Gustavo A. & Ramos-Real, Francisco J. & de Almeida, Edmar Luiz Fagundes, 2013. "Efficient power generating portfolio in Brazil: Conciliating cost, emissions and risk," Energy Policy, Elsevier, vol. 62(C), pages 301-314.
    10. Sartori, Simone & Witjes, Sjors & Campos, Lucila M.S., 2017. "Sustainability performance for Brazilian electricity power industry: An assessment integrating social, economic and environmental issues," Energy Policy, Elsevier, vol. 111(C), pages 41-51.
    11. Clement Tengey & Nnamdi Ikechi Nwulu & Omoseni Adepoju & Omowunmi Mary Longe, 2022. "Analysis of the Productivity Dynamics of Electricity Distribution Regions in Ghana," Energies, MDPI, vol. 15(24), pages 1-10, December.
    12. Milan Kumar Das & Anindya Goswami, 2019. "Testing of binary regime switching models using squeeze duration analysis," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-20, March.
    13. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    14. Chkili, Walid & Nguyen, Duc Khuong, 2014. "Exchange rate movements and stock market returns in a regime-switching environment: Evidence for BRICS countries," Research in International Business and Finance, Elsevier, vol. 31(C), pages 46-56.
    15. Manuela Goretti, 2005. "The Brazilian currency turmoil of 2002: a nonlinear analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 289-306.
    16. David Andolfatto & Paul Gomme, 2003. "Monetary Policy Regimes and Beliefs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(1), pages 1-30, February.
    17. Valentina Aprigliano & Danilo Liberati, 2021. "Using Credit Variables to Date Business Cycle and to Estimate the Probabilities of Recession in Real Time," Manchester School, University of Manchester, vol. 89(S1), pages 76-96, September.
    18. DAVID E. ALLEN & MICHAEL McALEER & ROBERT J. POWELL & ABHAY K. SINGH, 2018. "Non-Parametric Multiple Change Point Analysis Of The Global Financial Crisis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-23, June.
    19. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    20. Xi, Xiaojing & Mamon, Rogemar, 2011. "Parameter estimation of an asset price model driven by a weak hidden Markov chain," Economic Modelling, Elsevier, vol. 28(1-2), pages 36-46, January.
    21. Anne Morrison Piehl & Suzanne J. Cooper & Anthony A. Braga & David M. Kennedy, 2003. "Testing for Structural Breaks in the Evaluation of Programs," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 550-558, August.

    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:vuw:vuwcsr:19257. 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: Library Technology Services (email available below). General contact details of provider: https://edirc.repec.org/data/fcvuwnz.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.