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

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  • Sandro Sapio

Abstract

[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. [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.

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  • Sandro Sapio, 2004. "Markets Design, Bidding Rules, and Long Memory in Electricity Prices," Revue d'Économie Industrielle, Programme National Persée, vol. 107(1), pages 151-170.
  • Handle: RePEc:prs:recind:rei_0154-3229_2004_num_107_1_3053
    DOI: 10.3406/rei.2004.3053
    Note: DOI:10.3406/rei.2004.3053
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    1. Giovanni Dosi & Luigi Marengo & Giorgio Fagiolo, 1996. "Learning in evolutionary environment," CEEL Working Papers 9605, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    2. M. Angeles Carnero & Siem Jan Koopman & Marius Ooms, 2003. "Periodic Heteroskedastic RegARFIMA Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 03-071/4, Tinbergen Institute.
    3. S. James Press, 1967. "A Compound Events Model for Security Prices," The Journal of Business, University of Chicago Press, vol. 40, pages 317-317.
    4. Knittel, Christopher R. & Roberts, Michael R., 2005. "An empirical examination of restructured electricity prices," Energy Economics, Elsevier, vol. 27(5), pages 791-817, September.
    5. Lawrence M. Ausubel & Peter Cramton & Marek Pycia & Marzena Rostek & Marek Weretka, 2014. "Demand Reduction and Inefficiency in Multi-Unit Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1366-1400.
    6. Alan Kirman, 1999. "Interaction and markets," Chapters, in: Mauro Gallegati & Alan Kirman (ed.), Beyond the Representative Agent, chapter 1, pages 1-44, Edward Elgar Publishing.
    7. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "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?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    8. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    9. 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.
    10. 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;International Institute of Public Finance, vol. 10(4), pages 377-401, August.
    11. Brousseau,Eric & Glachant,Jean-Michel (ed.), 2002. "The Economics of Contracts," Cambridge Books, Cambridge University Press, number 9780521814904.
    12. de Jong, C.M. & Huisman, R., 2002. "Option Formulas for Mean-Reverting Power Prices with Spikes," ERIM Report Series Research in Management ERS-2002-96-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    14. 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, vol. 12(3), pages 71-81, April.
    15. Paul L. Joskow, 2001. "California's Electricity Crisis," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 17(3), pages 365-388.
    16. Ángel León & Antonio Rubia, 2001. "Comportamiento Del Precio Y Volatilidad En El Pool Eléctrico Español," Working Papers. Serie EC 2001-04, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    17. Catherine D. Wolfram, 1999. "Measuring Duopoly Power in the British Electricity Spot Market," American Economic Review, American Economic Association, vol. 89(4), pages 805-826, September.
    18. Green, Richard, 2006. "Market power mitigation in the UK power market," Utilities Policy, Elsevier, vol. 14(2), pages 76-89, June.
    19. 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, vol. 25(3-4), pages 561-592, March.
    20. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    21. Ferrara, Laurent & Guegan, Dominique, 2001. "Forecasting with k-Factor Gegenbauer Processes: Theory and Applications," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(8), pages 581-601, December.
    22. Rafal Weron & Ingve Simonsen & Piotr Wilman, 2003. "Modeling highly volatile and seasonal markets: evidence from the Nord Pool electricity market," Econometrics 0303007, University Library of Munich, Germany.
    23. Schwartz, Eduardo S, 1997. "The Stochastic Behavior of Commodity Prices: Implications for Valuation and Hedging," Journal of Finance, American Finance Association, vol. 52(3), pages 923-973, July.
    24. Mauro Gallegati & Alan Kirman (ed.), 1999. "Beyond the Representative Agent," Books, Edward Elgar Publishing, number 1375.
    25. G. Dosi & M. Egidi, 2000. "Substantive and Procedural Uncertainty: An Exploration of Economic Behaviours in Changing Environments," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 5, pages 165-188, Edward Elgar Publishing.
    26. Stoker, Thomas M, 1986. "Simple Tests of Distributional Effects on Macroeconomic Equations," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 763-795, August.
    27. Bystrom, Hans N. E., 2005. "Extreme value theory and extremely large electricity price changes," International Review of Economics & Finance, Elsevier, vol. 14(1), pages 41-55.
    28. Brousseau,Eric & Glachant,Jean-Michel (ed.), 2002. "The Economics of Contracts," Cambridge Books, Cambridge University Press, number 9780521893138.
    29. Catherine D. Wolfram, 1998. "Strategic Bidding in a Multiunit Auction: An Empirical Analysis of Bids to Supply Electricity in England and Wales," RAND Journal of Economics, The RAND Corporation, vol. 29(4), pages 703-725, Winter.
    30. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    31. Giulio Bottazzi & Giovanni Dosi & Igor Rebesco, 2002. "Institutional Architectures and Behavioural Ecologies in the Dynamics of Financial Markets: a Preliminary Investigation," LEM Papers Series 2002/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    32. Alan Kirman, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 137-156.
    33. repec:dau:papers:123456789/12331 is not listed on IDEAS
    34. Green, Richard J & Newbery, David M, 1992. "Competition in the British Electricity Spot Market," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 929-953, October.
    35. 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, vol. 21(5), pages 435-448, October.
    36. Merton, Robert C., 1976. "Option pricing when underlying stock returns are discontinuous," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 125-144.
    37. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    38. Debreu, Gerard, 1974. "Excess demand functions," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 15-21, March.
    39. Henry L. Gray & Nien‐Fan Zhang & Wayne A. Woodward, 1989. "On Generalized Fractional Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 10(3), pages 233-257, May.
    40. Sonnenschein, Hugo, 1972. "Market Excess Demand Functions," Econometrica, Econometric Society, vol. 40(3), pages 549-563, May.
    41. 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.
    42. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    43. Joskow, Paul L, 1996. "Introducing Competition into Regulated Network Industries: From Hierarchies to Markets in Electricity," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 5(2), pages 341-382.
    44. Brunekreeft, Gert, 2001. "A multiple-unit, multiple-period auction in the British electricity spot market," Energy Economics, Elsevier, vol. 23(1), pages 99-118, January.
    45. C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
    46. Amihud, Yakov & Mendelson, Haim, 1987. "Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-553, July.
    47. Stoll, Hans R & Whaley, Robert E, 1990. "Stock Market Structure and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 37-71.
    48. Franses, Philip Hans, 1994. "A multivariate approach to modeling univariate seasonal time series," Journal of Econometrics, Elsevier, vol. 63(1), pages 133-151, July.
    49. Alan Kirman & Annick Vignes, 1991. "Price Dispersion: Theoretical Considerations and Empirical Evidence from the Marseilles Fish Market," International Economic Association Series, in: Kenneth J. Arrow (ed.), Issues in Contemporary Economics, chapter 10, pages 160-185, Palgrave Macmillan.
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