The Dynamics of Hourly Electricity Prices

The dynamics of hourly electricity prices in day-ahead markets is an important element of competitive power markets that were only established in the last decade. In electricity markets, the market micro-structure does not allow for continuous trading, since operators require advance notice in order to verify that the schedule is feasible and lies within transmission constraints. Instead agents have to submit their bids and offers for delivery of electricity for all hours of the next day before a specified market closing time. We suggest the use of dynamic semi-parametric factor models (DSFM) for the behavior of hourly electricity prices. We find that a model with three factors is able to explain already a high proportion of the variation in hourly electricity prices. Our analysis also provides insights into the characteristics of the market, in particular with respect to the driving factors of hourly prices and their dynamic behavior through time.

[1]  Zongwu Cai,et al.  Adaptive varying‐coefficient linear models , 2000 .

[2]  Eduardo S. Schwartz,et al.  Electricity Prices and Power Derivatives: Evidence from the Nordic Power Exchange , 2000 .

[3]  Marco van Akkeren,et al.  A GARCH forecasting model to predict day-ahead electricity prices , 2005, IEEE Transactions on Power Systems.

[4]  R. Huisman,et al.  Hourly Electricity Prices in Day-Ahead Markets , 2006 .

[5]  S. Rachev,et al.  Spot and Derivative Pricing in the EEX Power Market , 2007 .

[6]  R. Pindyck The long-run evolution of energy prices , 1999 .

[7]  E. Mammen,et al.  Time Series Modelling With Semiparametric Factor Dynamics , 2007 .

[8]  Wolfgang Härdle,et al.  Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration , 2005 .

[9]  B. Ramsay,et al.  A neural network based estimator for electricity spot-pricing with particular reference to weekend and public holidays , 1998, Neurocomputing.

[10]  Takashi Kanamura,et al.  On Transition Probabilities of Regime-Switching in Electricity Prices , 2004 .

[11]  H. Geman,et al.  Understanding the Fine Structure of Electricity Prices , 2004 .

[12]  Timothy D. Mount,et al.  Predicting price spikes in electricity markets using a regime-switching model with time-varying parameters , 2006 .

[13]  F. Longstaff,et al.  Electricity Forward Prices: A High-Frequency Empirical Analysis , 2002 .

[14]  Carolina García-Martos,et al.  Seasonal Dynamic Factor Analysis and Bootstrap Inference: Application to Electricity Market Forecasting , 2011, Technometrics.

[15]  Iivo Vehviläinen,et al.  Stochastic factor model for electricity spot price - the case of the Nordic market , 2005 .

[16]  Cristina Corchero García,et al.  Improving electricity market price scenarios by means of forecasting factor models , 2009 .

[17]  R. Weron,et al.  A Semiparametric Factor Model for Electricity Forward Curve Dynamics , 2008 .

[18]  Celeste Saravia Speculative Trading and Market Performance: The Effect of Arbitrageurs on Efficiency and Market Power in the New York Electricity Market , 2003 .

[19]  D. Pilipović,et al.  Energy Risk: Valuing and Managing Energy Derivatives , 1997 .

[20]  R. Quandt The Estimation of the Parameters of a Linear Regression System Obeying Two Separate Regimes , 1958 .

[21]  S. Deng,et al.  Stochastic Models of Energy Commodity Prices and Their Applications : Mean-reversion with Jumps and Spikes , 1998 .

[22]  T. Mount,et al.  ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS AND THE IMPLICATIONS FOR OPTION VALUES , 1998 .

[23]  Jonathan D. Cryer,et al.  Time Series Analysis , 1986 .

[24]  Lester Hadsell A TARCH examination of the return volatility–volume relationship in electricity futures , 2006 .

[25]  K. Mosler,et al.  Can Markov regime-switching models improve power-price forecasts? Evidence from German daily power prices , 2006 .

[26]  Siem Jan Koopman,et al.  Periodic Seasonal Reg-ARFIMA–GARCH Models for Daily Electricity Spot Prices , 2007 .

[27]  I. Simonsen Measuring anti-correlations in the nordic electricity spot market by wavelets , 2001, cond-mat/0108033.

[28]  M. Nielsen,et al.  A Regime Switching Long Memory Model for Electricity Prices , 2006 .

[29]  R. Huisman,et al.  Option Formulas for Mean-Reverting Power Prices with Spikes , 2002 .

[30]  James D. Hamilton A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .

[31]  Christopher R. Knittel,et al.  An empirical examination of restructured electricity prices , 2005 .

[32]  T. Dillon,et al.  Electricity price short-term forecasting using artificial neural networks , 1999 .

[33]  Ingve Simonsen,et al.  Modeling highly volatile and seasonal markets: evidence from the Nord Pool electricity market , 2004 .

[34]  R. Weron,et al.  Modelling Electricity Prices: Jump Diffusion and Regime Switching , 2004 .

[35]  L. Clewlow,et al.  Energy Derivatives: Pricing and Risk Management , 2000 .

[36]  S. Goldfeld,et al.  A Markov model for switching regressions , 1973 .

[37]  F. Wolak Market Design and Price Behavior in Restructured Electricity Markets: An International Comparison , 2000 .

[38]  James Bushnell,et al.  Trading Inefficiencies in California&Apos;S Electricity Markets , 2001 .

[39]  Ronald Huisman The Influence of Temperature on Spike Probability in Day-Ahead Power Prices , 2007 .

[40]  Á. Cartea,et al.  Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality , 2005 .

[41]  R. C. Merton,et al.  Option pricing when underlying stock returns are discontinuous , 1976 .

[42]  R. Weron Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach , 2006 .

[43]  Cyriel de Jong The Nature of Power Spikes: a regime-switch approach , 2005 .

[44]  Wolfgang Härdle,et al.  A semiparametric factor model for implied volatility surface dynamics , 2006 .

[45]  Karan Bhanot,et al.  Behavior of power prices: implications for the valuation and hedging of financial contracts , 2000 .

[46]  M. Barlow A DIFFUSION MODEL FOR ELECTRICITY PRICES , 2002 .

[47]  R. Weron,et al.  Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models , 2006 .