Price convergence within and between the Italian electricity day-ahead and dispatching services markets
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- Søren Johansen & Morten Ørregaard Nielsen, 2012.
"Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model,"
Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
- Morten Ø. Nielsen & S Johansen, 2010. "Likelihood Inference For A Fractionally Cointegrated Vector Autoregressive Model," Working Paper 1237, Economics Department, Queen's University.
- Søren Johansen & Morten Ørregaard Nielsen, 2010. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Discussion Papers 10-15, University of Copenhagen. Department of Economics.
- Søren Johansen & Morten Ørregaard Nielsen, 2010. "Likelihood inference for a fractionally cointegrated vector autoregressive model," CREATES Research Papers 2010-24, Department of Economics and Business Economics, Aarhus University.
- Koopman, Siem Jan & Ooms, Marius & Carnero, M. Angeles, 2007.
"Periodic Seasonal Reg-ARFIMAGARCH Models for Daily Electricity Spot Prices,"
Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 16-27, March.
- Siem Jan Koopman & Marius Ooms & M. Angeles Carnero, 2005. "Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 05-091/4, Tinbergen Institute.
- Johansen, Søren, 2010.
"Some identification problems in the cointegrated vector autoregressive model,"
Journal of Econometrics, Elsevier, vol. 158(2), pages 262-273, October.
- Søren Johansen, 2007. "Some identification problems in the cointegrated vector autoregressive model," CREATES Research Papers 2007-32, Department of Economics and Business Economics, Aarhus University.
- Søren Johansen, 2007. "Some Identification Problems in the Cointegrated Vector Autoregressive Model," Discussion Papers 07-24, University of Copenhagen. Department of Economics.
- Robinson, Peter M. & Yajima, Yoshihiro, 2002. "Determination of cointegrating rank in fractional systems," Journal of Econometrics, Elsevier, vol. 106(2), pages 217-241, February.
- Haldrup, Niels & Nielsen, Frank S. & Nielsen, Morten Ørregaard, 2010.
"A vector autoregressive model for electricity prices subject to long memory and regime switching,"
Energy Economics, Elsevier, vol. 32(5), pages 1044-1058, September.
- Niels Haldrup & Frank S. Nielsen & Morten Ørregaard Nielsen, 2007. "A Vector Autoregressive Model for Electricity Prices Subject to Long Memory and Regime Switching," CREATES Research Papers 2007-29, Department of Economics and Business Economics, Aarhus University.
- Frank S. Nielsen & Morten Ø. Nielsen & Niels Haldrup, 2009. "A Vector Autoregressive Model For Electricity Prices Subject To Long Memory And Regime Switching," Working Paper 1211, Economics Department, Queen's University.
- Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015.
"A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
- Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2014. "A fractionally cointegrated VAR analysis of price discovery in commodity futures markets," CREATES Research Papers 2014-24, Department of Economics and Business Economics, Aarhus University.
- Sepideh Dolatabadi & Ke Xu & Morten Ø. Nielsen, 2014. "A Fractionally Cointegrated Var Analysis Of Price Discovery In Commodity Futures Markets," Working Paper 1328, Economics Department, Queen's University.
- Federico Carlini & Paolo Santucci de Magistris, 2019.
"On the Identification of Fractionally Cointegrated VAR Models With the Condition,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 134-146, January.
- Federico Carlini & Paolo Santucci de Magistris, 2013. "On the identification of fractionally cointegrated VAR models with the F(d) condition," CREATES Research Papers 2013-44, Department of Economics and Business Economics, Aarhus University.
- Paolo Santucci de Magistris & Federico Carlini, 2014. "On the identification of fractionally cointegrated VAR models with the F(d) condition," CREATES Research Papers 2014-43, Department of Economics and Business Economics, Aarhus University.
- Taylor, James W. & Snyder, Ralph D., 2012.
"Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing,"
Omega, Elsevier, vol. 40(6), pages 748-757.
- James W. Taylor & Ralph D. Snyder, 2009. "Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing," Monash Econometrics and Business Statistics Working Papers 9/09, Monash University, Department of Econometrics and Business Statistics.
- Terry Robinson, 2007. "The convergence of electricity prices in Europe," Applied Economics Letters, Taylor & Francis Journals, vol. 14(7), pages 473-476.
- Caporin, Massimiliano & Ranaldo, Angelo & Santucci de Magistris, Paolo, 2013.
"On the predictability of stock prices: A case for high and low prices,"
Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5132-5146.
- Massimiliano Caporin & Angelo Ranaldo, 2011. "On the Predictability of Stock Prices: a Case for High and Low Prices," Working Papers 2011-11, Swiss National Bank.
- Caporin, Massimiliano & Ranaldo, Angelo & Santucci de Magistris, Paolo, 2012. "On the Predictability of Stock Prices: a Case for High and Low Prices," Working Papers on Finance 1213, University of St. Gallen, School of Finance.
- Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
- repec:taf:applec:45:y:2013:i:18:p:2683-2693 is not listed on IDEAS
- Caporin, Massimiliano & Preś, Juliusz & Torro, Hipolit, 2012.
"Model based Monte Carlo pricing of energy and temperature Quanto options,"
Energy Economics, Elsevier, vol. 34(5), pages 1700-1712.
- Caporin, Massimiliano & Pres, Juliusz & Torro, Hipolit, 2010. "Model based Monte Carlo pricing of energy and temperature quanto options," MPRA Paper 25538, University Library of Munich, Germany.
- Massimiliano Caporin & Juliusz Pres' & Hipolit Torro, 2010. "Model Based Monte Carlo Pricing of Energy and Temperature Quanto Options," "Marco Fanno" Working Papers 0123, Dipartimento di Scienze Economiche "Marco Fanno".
- Ronald Huisman & Mehtap Kili砍, 2013. "A history of European electricity day-ahead prices," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2683-2693, June.
- Alvaro Cartea & Marcelo Figueroa, 2005.
"Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality,"
Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(4), pages 313-335.
- Alvaro Cartea & Marcelo Gustavo Figueroa, 2005. "Pricing in Electricity Markets: a Mean Reverting Jump Diffusion Model with Seasonality," Birkbeck Working Papers in Economics and Finance 0507, Birkbeck, Department of Economics, Mathematics & Statistics.
- Alvaro Cartea & Marcelo_Gustavo Figueroa, 2005. "Pricing in Electricity Markets: a Mean Reverting Jump Diffusion Model with Seasonality," Finance 0501011, University Library of Munich, Germany, revised 12 Sep 2005.
- Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007.
"Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach,"
Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
- Morten Ø. Nielsen & Katsumi Shimotsu, 2006. "Determining The Cointegrating Rank In Nonstationary Fractional Systems By The Exact Local Whittle Approach," Working Paper 1029, Economics Department, Queen's University.
- Shimotsu, Katsumi, 2010.
"Exact Local Whittle Estimation Of Fractional Integration With Unknown Mean And Time Trend,"
Econometric Theory, Cambridge University Press, vol. 26(2), pages 501-540, April.
- Katsumi Shimotsu, 2006. "Exact Local Whittle Estimation of Fractional Integration with Unknown Mean and Time Trend," Working Paper 1061, Economics Department, Queen's University.
- Davide Ciferri & Maria Chiara D’Errico & Paolo Polinori, 2020.
"Integration and convergence in European electricity markets,"
Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 463-492, July.
- Carlo Andrea Bollino & Davide Ciferri & Paolo Polinori, 2013. "Integration and convergence in European electricity markets," Quaderni del Dipartimento di Economia, Finanza e Statistica 114/2013, Università di Perugia, Dipartimento Economia.
- Bollino, Carlo Andrea & Ciferri, Davide & Polinori, Paolo, 2013. "Integration and Convergence in European Electricity Markets," MPRA Paper 44704, University Library of Munich, Germany.
- Apergis, Nicholas & Fontini, Fulvio & Inchauspe, Julian, 2017. "Integration of regional electricity markets in Australia: A price convergence assessment," Energy Economics, Elsevier, vol. 62(C), pages 411-418.
- Janczura, Joanna & Trück, Stefan & Weron, Rafał & Wolff, Rodney C., 2013.
"Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling,"
Energy Economics, Elsevier, vol. 38(C), pages 96-110.
- Janczura, Joanna & Trueck, Stefan & Weron, Rafal & Wolff, Rodney, 2012. "Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling," MPRA Paper 39277, University Library of Munich, Germany.
- Balaguer, Jacint, 2011. "Cross-border integration in the European electricity market. Evidence from the pricing behavior of Norwegian and Swiss exporters," Energy Policy, Elsevier, vol. 39(9), pages 4703-4712, September.
- Johansen, SØren, 2008. "A Representation Theory For A Class Of Vector Autoregressive Models For Fractional Processes," Econometric Theory, Cambridge University Press, vol. 24(3), pages 651-676, June.
- Rafal Weron, 2006. "Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach," HSC Books, Hugo Steinhaus Center, Wroclaw University of Technology, number hsbook0601, December.
- Bunn, Derek W. & Gianfreda, Angelica, 2010. "Integration and shock transmissions across European electricity forward markets," Energy Economics, Elsevier, vol. 32(2), pages 278-291, March.
- Mauro Bernardi & Lea Petrella, 2015. "Multiple seasonal cycles forecasting model: the Italian electricity demand," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 671-695, November.
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More about this item
Keywords
zonal prices; convergence between zones; convergence within zones; fractional cointegration; long-run equilibrium.;All these keywords.
JEL classification:
- Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2018-01-22 (Energy Economics)
- NEP-EUR-2018-01-22 (Microeconomic European Issues)
- NEP-REG-2018-01-22 (Regulation)
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