Modeling and forecasting multivariate electricity price spikes
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References listed on IDEAS
- Timothy Christensen & Stan Hurn & Kenneth Lindsay, 2009.
"It Never Rains but it Pours: Modeling the Persistence of Spikes in Electricity Prices,"
The Energy Journal,
International Association for Energy Economics, vol. 0(Number 1), pages 25-48.
- T M Christensen & A S Hurn & K A Lindsay, 2008. "It never rains but it pours: Modelling the persistence of spikes in electricity prices," NCER Working Paper Series 25, National Centre for Econometric Research.
- Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
- Heikki Kauppi & Pentti Saikkonen, 2008. "Predicting U.S. Recessions with Dynamic Binary Response Models," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 777-791, November.
- Henri Nyberg, 2010. "Dynamic probit models and financial variables in recession forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 215-230.
- Aas, Kjersti & Czado, Claudia & Frigessi, Arnoldo & Bakken, Henrik, 2009. "Pair-copula constructions of multiple dependence," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 182-198, April.
- de Jong, Robert M. & Woutersen, Tiemen, 2011.
"Dynamic Time Series Binary Choice,"
Cambridge University Press, vol. 27(04), pages 673-702, August.
- Tiemen Woutersen & Robert M. de Jong, 2004. "Dynamic time series binary choice," Econometric Society 2004 North American Summer Meetings 365, Econometric Society.
- Robert M. de Jong & Tiemen Woutersen, 2007. "Dynamic time series binary choice," Economics Working Paper Archive 538, The Johns Hopkins University,Department of Economics.
- Cornelia Savu & Mark Trede, 2010. "Hierarchies of Archimedean copulas," Quantitative Finance, Taylor & Francis Journals, vol. 10(3), pages 295-304.
- Knittel, Christopher R. & Roberts, Michael R., 2005. "An empirical examination of restructured electricity prices," Energy Economics, Elsevier, vol. 27(5), pages 791-817, September.
- Volodymyr Korniichuk, 2012. "Forecasting extreme electricity spot prices," Cologne Graduate School Working Paper Series 03-14, Cologne Graduate School in Management, Economics and Social Sciences.
- Rainer Winkelmann, 2012.
"Copula Bivariate Probit Models: With An Application To Medical Expenditures,"
John Wiley & Sons, Ltd., vol. 21(12), pages 1444-1455, December.
- Rainer Winkelmann, 2011. "Copula bivariate probit models: with an application to medical expenditures," ECON - Working Papers 029, Department of Economics - University of Zurich.
- Cartea, Álvaro & Villaplana, Pablo, 2008.
"Spot price modeling and the valuation of electricity forward contracts: The role of demand and capacity,"
Journal of Banking & Finance,
Elsevier, vol. 32(12), pages 2502-2519, December.
- Alvaro Cartea & Pablo Villaplana Conde, 2007. "Spot Price Modeling and the Valuation of Electricity Forward Contracts: the Role of Demand and Capacity," Birkbeck Working Papers in Economics and Finance 0718, Birkbeck, Department of Economics, Mathematics & Statistics.
- Michael Dueker, 2005.
"Dynamic Forecasts of Qualitative Variables: A Qual VAR Model of U.S. Recessions,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 23, pages 96-104, January.
- Michael J. Dueker, 2003. "Dynamic forecasts of qualitative variables: a Qual VAR model of U.S. recessions," Working Papers 2001-012, Federal Reserve Bank of St. Louis.
- Hafner, Christian M. & Rombouts, Jeroen V.K., 2007.
"Semiparametric Multivariate Volatility Models,"
Cambridge University Press, vol. 23(02), pages 251-280, April.
- Rombouts, Jeroen V. K. & Hafner, Christian M., 2004. "Semiparametric multivariate volatility models," Papers 2004,14, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
- Hafner, C.M. & Rombouts, J.V.K., 2004. "Semiparametric multivariate volatility models," Econometric Institute Research Papers EI 2004-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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,"
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.
- Le Pen, Yannick & Sévi, Benoît, 2010.
"Volatility transmission and volatility impulse response functions in European electricity forward markets,"
Elsevier, vol. 32(4), pages 758-770, July.
- Yannick LE PEN & Benoît SEVI, 2008. "Volatility transmission and volatility impulse response functions in European electricity forward markets," Cahiers du CREDEN (CREDEN Working Papers) 08.09.77, CREDEN (Centre de Recherche en Economie et Droit de l'Energie), Faculty of Economics, University of Montpellier 1.
- repec:dau:papers:123456789/5450 is not listed on IDEAS
- Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
- Michael J. Dueker, 1997. "Strengthening the case for the yield curve as a predictor of U.S. recessions," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 41-51.
- Smith, Michael Stanley, 2015. "Copula modelling of dependence in multivariate time series," International Journal of Forecasting, Elsevier, vol. 31(3), pages 815-833.
- Michael S. Smith & Quan Gan & Robert J. Kohn, 2012. "Modelling dependence using skew t copulas: Bayesian inference and applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 500-522, April.
- Eichler, M. & Türk, D., 2013. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Energy Economics, Elsevier, vol. 36(C), pages 614-624.
- A. Stan Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2016.
"A Smooth Transition Logit Model of The Effects of Deregulation in the Electricity Market,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 31(4), pages 707-733, June.
- A S Hurn & Annastiina Silvennoinen & Timo Terasvirta, 2014. "A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market," NCER Working Paper Series 100, National Centre for Econometric Research.
- A.S. Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2014. "A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market," CREATES Research Papers 2014-09, Department of Economics and Business Economics, Aarhus University.
- Smith, Michael & Min, Aleksey & Almeida, Carlos & Czado, Claudia, 2010. "Modeling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1467-1479.
- Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
- Lindström, Erik & Regland, Fredrik, 2012. "Modeling extreme dependence between European electricity markets," Energy Economics, Elsevier, vol. 34(4), pages 899-904.
- Okhrin, Ostap & Okhrin, Yarema & Schmid, Wolfgang, 2013. "On the structure and estimation of hierarchical Archimedean copulas," Journal of Econometrics, Elsevier, vol. 173(2), pages 189-204.
- Eichengreen, Barry & Watson, Mark W & Grossman, Richard S, 1985. "Bank Rate Policy under the Interwar Gold Standard: A Dynamic Probit Model," Economic Journal, Royal Economic Society, vol. 95(379), pages 725-745, September.
- repec:qut:auncer:2012_5 is not listed on IDEAS
- Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.
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More about this item
KeywordsElectricity price spikes; Multivariate binary choice models; Copulas; Vector autoregression;
- 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
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
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