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				<title><![CDATA[&quot;Serving the energy market&quot; - Articles - ]]></title>
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					  <title><![CDATA[Heavy tails and electricity prices]]></title>
					  <link>http://www.erasmusenergy.com/articles/153/1/Heavy-tails-and-electricity-prices/Page1.html</link>
					  <description><![CDATA[Keywords: <br/>Published in: <br/>Publication year: 2005<br/><br/>In the first years after the emergence of deregulated power markets it became apparent that for the valuation of electricity derivatives we cannot simply rely on models developed for financial or other commodity markets. However, before adequate models can be put forward the unique characteristics of electricity (spot) prices have to be thoroughly analyzed. In particular, the extreme volatility and price spikes which lead to heavy-tailed distributions of returns. In this paper we first analyze the stylized facts of electricity prices, then present two modeling approaches: jump-diffusion and regime-switching, which to some extent address the pertinent issues.]]></description>
					  <author>no@spam.com (Rafal Weron)</author>
					  <pubDate>Mon, 28 Jan 2008 12:42:11 CET</pubDate>
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					  <title><![CDATA[Forecasting spot electricity prices with time series models]]></title>
					  <link>http://www.erasmusenergy.com/articles/152/1/Forecasting-spot-electricity-prices-with-time-series-models/Page1.html</link>
					  <description><![CDATA[Keywords: <br/>Published in: <br/>Publication year: 2005<br/>Co-author 1: Adam Misiorek<br/><br/>In this paper we study simple time series models and assess their forecasting performance. In particular we calibrate ARMA and ARMAX (where the exogenous variable is the system load) processes. Models are tested on a time series of California power market system prices and loads from the period proceeding and including the market crash.]]></description>
					  <author>no@spam.com (Rafal Weron)</author>
					  <pubDate>Mon, 28 Jan 2008 11:55:21 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/152/1/Forecasting-spot-electricity-prices-with-time-series-models/Page1.html</guid>
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					  <title><![CDATA[Modeling highly volatile and seasonal markets: evidence from the Nord Pool electricity market]]></title>
					  <link>http://www.erasmusenergy.com/articles/145/1/Modeling-highly-volatile-and-seasonal-markets-evidence-from-the-Nord-Pool-electricity-market/Page1.html</link>
					  <description><![CDATA[Keywords: electricity price, mean-reversion, Wavelet transform, Jump diffusion model<br/>Published in: Applications of econophysics<br/>Publication year: 2004<br/>Co-author 1: Ingve Simonsen<br/>Co-author 2: Piotr Wilman<br/><br/>In this paper we address the issue of modeling spot electricity prices. After analyzing factors leading to the unobservable in other financial or commodity markets price dynamics we propose a mean reverting jump diffusion model. We fit the model to data from the Nord Pool power exchange and find that it nearly duplicates the spot price&#8217;s main characteristics. The model can thus be used for risk management and pricing derivatives written on the spot electricity price.]]></description>
					  <author>no@spam.com (Rafal Weron)</author>
					  <pubDate>Mon, 07 Jan 2008 16:16:05 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/145/1/Modeling-highly-volatile-and-seasonal-markets-evidence-from-the-Nord-Pool-electricity-market/Page1.html</guid>
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