The Nature of Power Spikes: A Regime-Switch Approach
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Cyriel De Jong
Due to its non-storable nature, electricity is a commodity with probably the most volatile spot prices, exemplified by occasional spikes. Appropriate pricing, portfolio, and risk management models have to incorporate these characteristics, and the spikes in particular. We investigate the nature of power spikes in a number of different markets. We test what time-series model is best able to capture the dynamics of these disruptive spot prices. We use regime-switching models to infer whether the price spikes should be treated as abnormal and independent deviations from the normal price dynamics or whether they form an integral part of the price process. We test the time-series models on day-ahead markets in Europe and the US. We find that regime-switch models are better able to capture the market dynamics than a GARCH(1,1) or Poisson jump model. We also find clear differences between the markets and attribute part of the differences to the share of hydro-power in the total supply stack: hydro-power serves as an indirect means to store electricity, which has a dampening effect on spikes.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices
- Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models
- The Nature of Power Spikes: A Regime-Switch Approach
- Risk Management and the Role of Spot Price Predictions in the Australian Retail Electricity Market
- Randomly Modulated Periodic Signals in Alberta's Electricity Market
- Analysis and Modelling of Electricity Futures Prices
- Risk Premia in Electricity Forward Prices
- Analytical Approximation for the Price Dynamics of Spark Spread Options
- Estimating Trends in Weather Series: Consequences for Pricing Derivatives
- Measuring and Testing Natural Gas and Electricity Markets Volatility: Evidence from Alberta's Deregulated Markets
Articles in the same Issue
- Article
- Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices
- Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models
- The Nature of Power Spikes: A Regime-Switch Approach
- Risk Management and the Role of Spot Price Predictions in the Australian Retail Electricity Market
- Randomly Modulated Periodic Signals in Alberta's Electricity Market
- Analysis and Modelling of Electricity Futures Prices
- Risk Premia in Electricity Forward Prices
- Analytical Approximation for the Price Dynamics of Spark Spread Options
- Estimating Trends in Weather Series: Consequences for Pricing Derivatives
- Measuring and Testing Natural Gas and Electricity Markets Volatility: Evidence from Alberta's Deregulated Markets