Wired together: Integration and efficiency in European electricity markets
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DOI: 10.1016/j.eneco.2024.107505
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- Botterud, Audun & Kristiansen, Tarjei & Ilic, Marija D., 2010. "The relationship between spot and futures prices in the Nord Pool electricity market," Energy Economics, Elsevier, vol. 32(5), pages 967-978, September.
- David, S.A. & Inácio, C.M.C. & Quintino, D.D. & Machado, J.A.T., 2020. "Measuring the Brazilian ethanol and gasoline market efficiency using DFA-Hurst and fractal dimension," Energy Economics, Elsevier, vol. 85(C).
- Ladislav KRISTOUFEK & Petra LUNACKOVA, 2013.
"Long-term Memory in Electricity Prices: Czech Market Evidence,"
Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(5), pages 407-424, November.
- Ladislav Kristoufek & Petra Lunackova, 2013. "Long-term memory in electricity prices: Czech market evidence," Papers 1309.0582, arXiv.org.
- Kristoufek, Ladislav & Vosvrda, Miloslav, 2013.
"Measuring capital market efficiency: Global and local correlations structure,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 184-193.
- Ladislav Kristoufek & Miloslav Vosvrda, 2012. "Measuring capital market efficiency: Global and local correlations structure," Papers 1208.1298, arXiv.org.
- Arciniegas, Ismael & Barrett, Chris & Marathe, Achla, 2003. "Assessing the efficiency of US electricity markets," Utilities Policy, Elsevier, vol. 11(2), pages 75-86, June.
- Severin Borenstein & Stephen Holland, 2005.
"On the Efficiency of Competitive Electricity Markets with Time-Invariant Retail Prices,"
RAND Journal of Economics, The RAND Corporation, vol. 36(3), pages 469-493, Autumn.
- Severin Borenstein & Stephen P. Holland, 2003. "On the Efficiency of Competitive Electricity Markets With Time-Invariant Retail Prices," NBER Working Papers 9922, National Bureau of Economic Research, Inc.
- Joakim Westerlund & Paresh Narayan, 2013. "Testing the Efficient Market Hypothesis in Conditionally Heteroskedastic Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(11), pages 1024-1045, November.
- George P. Papaioannou & Christos Dikaiakos & Akylas C. Stratigakos & Panos C. Papageorgiou & Konstantinos F. Krommydas, 2019. "Testing the Efficiency of Electricity Markets Using a New Composite Measure Based on Nonlinear TS Tools," Energies, MDPI, vol. 12(4), pages 1-30, February.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Andrew W. Lo, A. Craig MacKinlay, 1988.
"Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test,"
The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
- Andrew W. Lo & A. Craig MacKinlay, 1987. "Stock Market Prices Do Not Follow Random Walks: Evidence From a Simple Specification Test," NBER Working Papers 2168, National Bureau of Economic Research, Inc.
- Tom Doan, "undated". "VRATIO: RATS procedure to implement variance ratio unit root test procedure," Statistical Software Components RTS00231, Boston College Department of Economics.
- Lee, Chien-Chiang & Lee, Jun-De, 2009. "Energy prices, multiple structural breaks, and efficient market hypothesis," Applied Energy, Elsevier, vol. 86(4), pages 466-479, April.
- John Geweke & Susan Porter‐Hudak, 1983. "The Estimation And Application Of Long Memory Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 221-238, July.
- Oprean Camelia & Tănăsescu Cristina & Bucur Amelia, 2017. "A new proposal for efficiency quantification of capital markets in the context of complex non-linear dynamics and chaos," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 30(1), pages 1669-1692, January.
- Chow, K. Victor & Denning, Karen C., 1993.
"A simple multiple variance ratio test,"
Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
- Tom Doan, "undated". "CHOWDENNING: RATS procedure to perform Chow-Denning multiple variance ratio test," Statistical Software Components RTS00035, Boston College Department of Economics.
- Morales, Lucía & Hanly, Jim, 2018. "European power markets–A journey towards efficiency," Energy Policy, Elsevier, vol. 116(C), pages 78-85.
- repec:clg:wpaper:2008-21 is not listed on IDEAS
- Arteche, Josu & Orbe, Jesus, 2017. "A strategy for optimal bandwidth selection in Local Whittle estimation," Econometrics and Statistics, Elsevier, vol. 4(C), pages 3-17.
- Neil Kellard & Paul Newbold & Tony Rayner & Christine Ennew, 1999. "The relative efficiency of commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(4), pages 413-432, June.
- Mohamed Boutahar & Rabeh Khalfaoui2, 2011. "Estimation of the long memory parameter in non stationary models: A Simulation Study," Working Papers halshs-00595057, HAL.
- Newbery, David & Strbac, Goran & Viehoff, Ivan, 2016.
"The benefits of integrating European electricity markets,"
Energy Policy, Elsevier, vol. 94(C), pages 253-263.
- David Newbery & Goran Strbac & Ivan Viehoff, 2015. "The benefits of integrating European electricity markets," Cambridge Working Papers in Economics 1509, Faculty of Economics, University of Cambridge.
- David Newbery & Goran Strbac & Ivan Viehoff, 2015. "The benefits of integrating European electricity markets," Working Papers EPRG 1504, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Couillard, Michel & Davison, Matt, 2005. "A comment on measuring the Hurst exponent of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 404-418.
- Domanico, Fabio, 2007. "Concentration in the European electricity industry: The internal market as solution?," Energy Policy, Elsevier, vol. 35(10), pages 5064-5076, October.
- Asan, Goksel & Tasaltin, Kamil, 2017. "Market efficiency assessment under dual pricing rule for the Turkish wholesale electricity market," Energy Policy, Elsevier, vol. 107(C), pages 109-118.
- Weron, Rafał & Zator, Michał, 2014.
"Revisiting the relationship between spot and futures prices in the Nord Pool electricity market,"
Energy Economics, Elsevier, vol. 44(C), pages 178-190.
- Rafal Weron & Michal Zator, 2013. "Revisiting the relationship between spot and futures prices in the Nord Pool electricity market," HSC Research Reports HSC/13/08, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
- Emilio Peroni & Robert McNown, 1998. "Noninformative and informative tests of efficiency in three energy futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(8), pages 939-964, December.
- Hany A. Shawky & Achla Marathe & Christopher L. Barrett, 2003. "A first look at the empirical relation between spot and futures electricity prices in the United States," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(10), pages 931-955, October.
- Haugom, Erik & Ullrich, Carl J., 2012. "Market efficiency and risk premia in short-term forward prices," Energy Economics, Elsevier, vol. 34(6), pages 1931-1941.
- Ladislav Krištoufek, 2010. "Rescaled Range Analysis and Detrended Fluctuation Analysis: Finite Sample Properties and Confidence Intervals," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(3), pages 315-329, November.
- Cajueiro, Daniel O. & Tabak, Benjamin M., 2004. "Evidence of long range dependence in Asian equity markets: the role of liquidity and market restrictions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 342(3), pages 656-664.
- Benoit B. Mandelbrot, 1972. "Statistical Methodology for Nonperiodic Cycles: From the Covariance To R/S Analysis," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 259-290, National Bureau of Economic Research, Inc.
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Cited by:
- Panayotis G. Papaioannou & George P. Papaioannou & George Evangelidis & George Gavalakis, 2024. "Detecting Structural breakpoints in natural gas and electricity wholesale prices via Bayesian ensemble approach, in the era of energy prices turmoil of 2022 period: the cases of ten European markets," Papers 2410.07224, arXiv.org.
- Zhu, Bangzhu & Tian, Chao & Wang, Ping, 2024. "Exploring the relationship between Chinese crude oil futures market efficiency and market micro characteristics," Energy Economics, Elsevier, vol. 134(C).
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More about this item
Keywords
European electricity markets; Efficiency; Market coupling; Entropy; Long-term memory; Fractal dimension;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
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