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Markets Design, Bidding Rules, and Long Memory in Electricity Prices

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  • Sandro Sapio

Abstract

[fre] Pour les enchères sous plis scellés et prix uniformes sur les marchés day ahead de l'électricité, le prix de marché est déterminé à l'intersection des fonctions d'offre et de demande agrégées construites par un opérateur de marché. Chaque jour, un seul agent (le générateur marginal) détient l'usine qui permet de solder le marché. De plus, les enchères day ahead sont intégrées dans des systèmes multi segments, dans lesquels divers protocoles coexistent et changent dans le temps. Cet environnement complexe conduit à l'adoption de règles d'enchères simples et adaptatives. Plus précisément, une telle configuration de marché autorise l'émergence de deux types différents de routines, selon que l'agent est un générateur marginal ou infra marginal. Cependant, du fait du mécanisme de prix uniforme, seul le comportement d'enchère du premier peut être reflété dans les prix de marchés. En fonction de la manière spécifique dont les générateurs marginaux traitent l'information passée pour déterminer leurs enchères (« hyperbolique » ou « exponentielle ») les prix de l'électricité sont susceptibles d'exhiber des effets de mémoire longue ou courte. En utilisant une analogie avec l'actualisation hyperbolique (un biais de comportement humain robuste) une conception en mémoire longue du prix de l'électricité est proposée. Cette intuition est confirmée par une analyse spectrale des données journalières issues des marchés NordPool et CalPX, en opposition forte avec de nombreuses études empiriques précédentes. Cet article souligne l'importance des accords institutionnels pour déterminer les relations entre les comportements individuels et les résultats du marché. Il propose une cartographie intéressante des règles d'enchères et des modèles de traitement de l'information selon les propriétés des séries temporelles des prix de marché. [eng] In uniform price, sealed-bid, day-ahead electricity auctions, the market price is set at the intersection between aggregate demand and supply functions constructed by a market operator. Each day, just one agent - the marginal generator - owns the market-clearing plant. Moreover, day-ahead auctions are embedded in multi-segment systems, wherein diverse protocols coexist and change over time. This complex environment leads to adoption of simple, adaptive bidding rules. Specifically, such a market design enables the emergence of two different types of routines, depending on whether the agent is a likely marginal or inframarginal generator. However, because of the uniform price mechanism, only the bidding behavior of the former can be reflected into market prices. Depending on the specific way marginal generators process past information to set their bids - « hyperbolic » or « exponential » - electricity prices are likely to display long- or short-memory. Using an analogy with the hyperbolic discounting - a quite robust behavioral bias in humans - a long-memory view of electricity prices is proposed. This insight is confirmed by spectral analysis of daily data from NordPool and CaIPX markets, in sharp contrast with most previous empirical studies. This paper underlines the importance of institutional settings in determining the relationship between individual behavior and market outcomes, and proposes an interesting mapping of bidding rules and models of information processing into the time series properties of market prices.

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Bibliographic Info

Article provided by Programme National Persée in its journal Revue d'économie industrielle.

Volume (Year): 107 (2004)
Issue (Month): 1 ()
Pages: 151-170

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Handle: RePEc:prs:recind:rei_0154-3229_2004_num_107_1_3053

Note: DOI:10.3406/rei.2004.3053
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  1. Schwartz, Eduardo S, 1997. " The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, American Finance Association, vol. 52(3), pages 923-73, July.
  2. Merton, Robert C., 1975. "Option pricing when underlying stock returns are discontinuous," Working papers, Massachusetts Institute of Technology (MIT), Sloan School of Management 787-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  3. Brousseau, Eric & Glachant, Jean-Michel, 2002. "The economics of contracts: Theories and applications," Economics Papers from University Paris Dauphine 123456789/12331, Paris Dauphine University.
  4. Paul L. Joskow, 2001. "California's Electricity Crisis," NBER Working Papers 8442, National Bureau of Economic Research, Inc.
  5. Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University 979, Cowles Foundation for Research in Economics, Yale University.
  6. Catherine D. Wolfram, 1999. "Measuring Duopoly Power in the British Electricity Spot Market," American Economic Review, American Economic Association, American Economic Association, vol. 89(4), pages 805-826, September.
  7. Scharfstein, David. & Stein, Jeremy C., 1988. "Herd behavior and investment," Working papers, Massachusetts Institute of Technology (MIT), Sloan School of Management WP 2062-88., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  8. Parisio, Lucia & Bosco, Bruno, 2003. "Market Power and the Power Market: Multi-unit Bidding and (In)Efficiency in Electricity Auctions," International Tax and Public Finance, Springer, Springer, vol. 10(4), pages 377-401, August.
  9. Marius Ooms & M. Angeles Carnero & Siem Jan Koopman, 2004. "Periodic Heteroskedastic RegARFIMA models for daily electricity spot prices," Econometric Society 2004 Australasian Meetings 158, Econometric Society.
  10. Debreu, Gerard, 1974. "Excess demand functions," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 15-21, March.
  11. Hylleberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988. "Seasonal, Integration And Cointegration," Papers, Pennsylvania State - Department of Economics 6-88-2, Pennsylvania State - Department of Economics.
  12. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 6(2), pages 117-136, Spring.
  13. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, Econometric Society, vol. 59(5), pages 1279-313, September.
  14. Knittel, Christopher R. & Roberts, Michael R., 2005. "An empirical examination of restructured electricity prices," Energy Economics, Elsevier, Elsevier, vol. 27(5), pages 791-817, September.
  15. Laibson, David, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 112(2), pages 443-77, May.
  16. Giovanni Dosi & Luigi Marengo & Giorgio Fagiolo, 1996. "Learning in evolutionary environment," CEEL Working Papers, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia 9605, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
  17. Green, Richard J & Newbery, David M, 1992. "Competition in the British Electricity Spot Market," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 100(5), pages 929-53, October.
  18. Bystrom, Hans N. E., 2005. "Extreme value theory and extremely large electricity price changes," International Review of Economics & Finance, Elsevier, Elsevier, vol. 14(1), pages 41-55.
  19. S. James Press, 1967. "A Compound Events Model for Security Prices," The Journal of Business, University of Chicago Press, University of Chicago Press, vol. 40, pages 317.
  20. Sonnenschein, Hugo, 1972. "Market Excess Demand Functions," Econometrica, Econometric Society, Econometric Society, vol. 40(3), pages 549-63, May.
  21. Kirman, A., 1997. "Interaction and Markets," ASSET - Instituto De Economia Publica, ASSET (Association of Southern European Economic Theorists) 166, ASSET (Association of Southern European Economic Theorists).
  22. Green, Richard, 2006. "Market power mitigation in the UK power market," Utilities Policy, Elsevier, Elsevier, vol. 14(2), pages 76-89, June.
  23. Ferrara, Laurent & Guegan, Dominique, 2001. "Forecasting with k-Factor Gegenbauer Processes: Theory and Applications," Journal of Forecasting, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 20(8), pages 581-601, December.
  24. Frank A. Wolak & Robert H. Patrick, 2001. "The Impact of Market Rules and Market Structure on the Price Determination Process in the England and Wales Electricity Market," NBER Working Papers 8248, National Bureau of Economic Research, Inc.
  25. Giulio Bottazzi & Giovanni Dosi & Igor Rebesco, 2002. "Institutional Architectures and Behavioural Ecologies in the Dynamics of Financial Markets: a Preliminary Investigation," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy 2002/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  26. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, Elsevier, vol. 73(1), pages 5-59, July.
  27. Alvaro Escribano & J. Ignacio Peña & Pablo Villaplana, 2011. "Modelling Electricity Prices: International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(5), pages 622-650, October.
  28. Cameron, Lisa & Cramton, Peter, 1999. "The Role of the ISO in U.S. Electricity Markets: A Review of Restructuring in California and PJM," The Electricity Journal, Elsevier, Elsevier, vol. 12(3), pages 71-81, April.
  29. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," Review of Financial Studies, Society for Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
  30. Kirman, Alan, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 108(1), pages 137-56, February.
  31. Lawrence M. Ausubel & Peter Cramton, 1995. "Demand Reduction and Inefficiency in Multi-Unit Auctions," Papers of Peter Cramton 98wpdr, University of Maryland, Department of Economics - Peter Cramton, revised 22 Jul 2002.
  32. Joskow, Paul L, 1996. "Introducing Competition into Regulated Network Industries: From Hierarchies to Markets in Electricity," Industrial and Corporate Change, Oxford University Press, vol. 5(2), pages 341-82.
  33. Dosi, G & Egidi, M, 1991. "Substantive and Procedural Uncertainty: An Exploration of Economic Behaviours in Changing Environments," Journal of Evolutionary Economics, Springer, Springer, vol. 1(2), pages 145-68, April.
  34. Rafal Weron & Ingve Simonsen & Piotr Wilman, 2003. "Modeling highly volatile and seasonal markets: evidence from the Nord Pool electricity market," Econometrics, EconWPA 0303007, EconWPA.
  35. Bower, John & Bunn, Derek, 2001. "Experimental analysis of the efficiency of uniform-price versus discriminatory auctions in the England and Wales electricity market," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 25(3-4), pages 561-592, March.
  36. Amihud, Yakov & Mendelson, Haim, 1987. " Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, American Finance Association, vol. 42(3), pages 533-53, July.
  37. De Vany, Arthur S. & Walls, W. David, 1999. "Cointegration analysis of spot electricity prices: insights on transmission efficiency in the western US," Energy Economics, Elsevier, Elsevier, vol. 21(5), pages 435-448, October.
  38. repec:dgr:uvatin:2003071 is not listed on IDEAS
  39. Ángel León & Antonio Rubia, 2001. "Comportamiento Del Precio Y Volatilidad En El Pool Eléctrico Español," Working Papers. Serie EC, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie) 2001-04, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  40. Stoker, Thomas M, 1986. "Simple Tests of Distributional Effects on Macroeconomic Equations," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 94(4), pages 763-95, August.
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Cited by:
  1. Sandro Sapio, 2012. "Modeling the distribution of day-ahead electricity returns: a comparison," Quantitative Finance, Taylor & Francis Journals, Taylor & Francis Journals, vol. 12(12), pages 1935-1949, December.
  2. Bottazzi, G. & Sapio, S. & Secchi, A., 2005. "Some statistical investigations on the nature and dynamics of electricity prices," Physica A: Statistical Mechanics and its Applications, Elsevier, Elsevier, vol. 355(1), pages 54-61.

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