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				<title><![CDATA[&quot;Serving the energy market&quot; - Articles - ]]></title>
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					  <title><![CDATA[Cointegration between gas and power spot prices]]></title>
					  <link>http://www.erasmusenergy.com/articles/191/1/Cointegration-between-gas-and-power-spot-prices/Page1.html</link>
					  <description><![CDATA[
<p style="MARGIN: 0cm 0cm 0pt" class="MsoNormal"><span lang="EN-GB">Keywords: power prices, cointegration,&nbsp;regime switching, spot prices<br/>Published in: The Journal of Energy Markets<br/>Publication year: 2009, Volume 2, Number 3<br/>Co-author 1: Stefan Schneider, EON Energy Trading<br/><br/>In this paper we show how </span><span style="mso-ansi-language: EN-US" lang="EN-US">cointegration can be applied to capture the joint dynamics of multiple energy spot prices. As an exemplary system we study the gas spot markets TTF, Zeebrugge and NBP, and additionally the power spot market APX, since these markets are strongly connected in terms of physical transportation and generation of power from gas. We develop a cointegrating multi-market model framework which is able to plausibly connect different single market spot price models. This is achieved by considering the mean-reverting spot-forward price spreads instead of spot prices only. Our analysis shows that the gas prices are strongly cointegrated, with a specific connection pattern of the markets, whereas cointegration of gas and power prices is on long-term forward price levels only.<span style="mso-spacerun: yes">&nbsp;&nbsp; </span><?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /><o:p></o:p></span></p>
<p style="MARGIN: 0cm 0cm 0pt" class="MsoNormal"><span style="mso-ansi-language: EN-US" lang="EN-US"><o:p>&nbsp;</o:p></span></p>]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Mon, 23 Aug 2010 10:44:56 CEST</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/191/1/Cointegration-between-gas-and-power-spot-prices/Page1.html</guid>
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					  <title><![CDATA[A decade of &quot;Rough&quot; storage trading results in the UK NBP gas market]]></title>
					  <link>http://www.erasmusenergy.com/articles/190/1/A-decade-of-quotRoughquot-storage-trading-results-in-the-UK-NBP-gas-market/Page1.html</link>
					  <description><![CDATA[
<p style="MARGIN: 0cm 0cm 10pt" class="MsoNormal"><span style="mso-ansi-language: EN-US" lang="EN-US"><font face="Calibri"><span style="FONT-SIZE: 12pt"><font style="FONT-SIZE: 14pt" face="Calibri"><strong>A decade of "Rough" storage trading results in the UK NBP gas market</strong></font></span><br/><br/>Authors: Alexander Boogert, Christopher Clancy, Cyriel de Jong (KYOS Energy Consulting)<br/><br/>Date: April 2010<br/><br/><br/>The backtest looks at the performance of different storage trading strategies in the UK NBP gas market. We assess a storage bundle mimicking the characteristics of the Rough storage, the largest in the <?xml:namespace prefix = st1 ns = "urn:schemas-microsoft-com:office:smarttags" /><st1:place w:st="on"><st1:country-region w:st="on">UK</st1:country-region></st1:place>. The backtest period covers 12 years, from 1997 until 2008. Every half year, the storage model calculates the expected storage value over the forthcoming 12 months. This 'projected' present value (ppv) is either the intrinsic value (based on the current forward curve), the rolling intrinsic value (based on changes in the forward prices over time), or the spot-based value. In the backtest, we then carry out the underlying trading strategies in the market over the front 12 months. <?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /><o:p></o:p></font></span></p>
<p style="MARGIN: 0cm 0cm 10pt" class="MsoNormal"><span style="mso-ansi-language: EN-US" lang="EN-US"><font face="Calibri">Our results indicate that the profitability of storage trading has varied largely over time, mainly due to variations in winter-summer spreads and price volatilities. When a trader would have relied on a pure spot trading strategy only, he would have done very well in some years, but in fact, often performed below expectation (the ppv being the expectation). This research discusses various explanations. However, a combination of a spot trading and a forward market hedging strategy completely changes the picture. The trader performance then matches closely with the expectation and he can be quite sure to realize both the intrinsic and the extrinsic value. <o:p></o:p></font></span></p>]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Mon, 26 Apr 2010 21:56:19 CEST</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/190/1/A-decade-of-quotRoughquot-storage-trading-results-in-the-UK-NBP-gas-market/Page1.html</guid>
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					  <title><![CDATA[Realistic power plant valuations]]></title>
					  <link>http://www.erasmusenergy.com/articles/184/1/Realistic-power-plant-valuations/Page1.html</link>
					  <description><![CDATA[<font size="1" face="StoneInformal-Italic"><font size="1" face="StoneInformal-Italic">
<p style="FONT-SIZE: 10pt" align="left"><span style="mso-ansi-language: EN-US" lang="EN-US"><font size="3"><font face="Calibri">Published in WorldPower 2009</font></font></span></p><span style="mso-ansi-language: EN-US" lang="EN-US"><font size="3"><font face="Calibri">
<p>Authors: Henk Sjoerd Los, Hans van Dijken, Cyriel de Jong. KYOS Energy Consulting</p>
<p><br/>The large investments in new power generation assets illustrate the need for proper financial plant evaluations. Traditional net present value (NPV) analysis disregards the flexibility to adjust production decisions to market developments, and thus underestimate true plant value. On the other hand, methods treating power plants as a series of spread options ignore technical and contractual restrictions, and thus overestimate true plant value. In this article we demonstrate the use of volatility and cointegration to incorporate market fundamentals and calculate dynamic, yet reasonable, spread levels and power plant values. A practical case study demonstrates how various technical and market constraints impact plant value. It also demonstrates that plant value may contain considerable option value, but 64% less than with the usual real option approaches. We conclude with an analysis of static and dynamic hedges affecting risk and return profiles</p>.<?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /><o:p></o:p></font></font></span></font></font>]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Thu, 27 Aug 2009 22:20:32 CEST</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/184/1/Realistic-power-plant-valuations/Page1.html</guid>
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					  <title><![CDATA[Effective pricing of wind power]]></title>
					  <link>http://www.erasmusenergy.com/articles/165/1/Effective-pricing-of-wind-power/Page1.html</link>
					  <description><![CDATA[Keywords: wind power, pricing, price - wind correlation, hedging, investments<br/>Published in: WorldPower 2008<br/>Publication year: 2008<br/>Co-author 1: Hans van Dijken<br/><br/>Effective Pricing of Wind Power - Uncertainties in Wind Production Often Priced at Too Low Levels<br/><br/>This article describes the pricing and hedging of wind power contracts. It demonstrates that&nbsp;substantial discounts relative to baseload power prices are reasonable to cover the negative wind-price correlation and to cover the difficulty of hedging price risks.<br/><br/>In this article, we outline a sound approach to the assessment of wind power projects, based on a careful analysis of project returns. In particular, we describe a number of hedge mechanisms and highlight some common pitfalls in <br/>structuring wind power purchase agreement (PPA) deals. Wind power is one of the most viable options to meet renewable energy targets. The attractiveness to investors depends on investment costs, expected future power price and (heavily) on the subsidy regime. But with the steady increase of wind <br/>production, the ability to secure future cashflows and to manage the risks becomes a key issue as well.<br/><br/>Wind power contracts typically contain discounts relative to the market forward prices. This derives from the difficulty in forecasting wind production and the variability in wind production, the correlation with market prices (imbalance and day-ahead). In the case presented, the correlation between day-ahead prices and wind production was already responsible for a discount of €6/MWh. A typical discount for imbalance costs has about the same magnitude, leading to an expected revenue shortfall of €12/MWh &#8211; without <br/>even taking into account the effects of the continuous increase of wind production on spot power prices. The analysis also demonstrates that a <br/>considerable proportion of the price risks, both short-term and long-term, are <br/>unhedgeable and should be incorporated in additional discounts. It is our experience that these risks are easily overlooked and wind power priced too optimistically. <br/>]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Mon, 24 Mar 2008 21:40:16 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/165/1/Effective-pricing-of-wind-power/Page1.html</guid>
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					  <title><![CDATA[The Nature of Power Spikes: A Regime-Switch Approach]]></title>
					  <link>http://www.erasmusenergy.com/articles/141/1/The-Nature-of-Power-Spikes-A-Regime-Switch-Approach/Page1.html</link>
					  <description><![CDATA[Keywords: <br/>Published in: Studies in non-linear dynamics & econometrics<br/>Publication year: 2006<br/><br/>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 &#8216;normal&#8217; 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.]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Mon, 31 Dec 2007 12:42:53 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/141/1/The-Nature-of-Power-Spikes-A-Regime-Switch-Approach/Page1.html</guid>
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					  <title><![CDATA[Negative prices in electricity markets]]></title>
					  <link>http://www.erasmusenergy.com/articles/91/1/Negative-prices-in-electricity-markets/Page1.html</link>
					  <description><![CDATA[<br/>Keywords: <br/>Published in: Commodities Now<br/>Publication year: 2003<br/>Co-author 1: Michael Sewalt<br/><br/>In this paper we describe how liberalisation has lead to the segmentation of trading opportunities for electricity with different periods to delivery. We clarify the price characteristics in each segment, including the extreme volatility in short-term prices and the phenomenon that electricity prices can become negative close to the time of delivery. With the Dutch market as an example, we show the implications for risk management and the valuation of derivatives. We argue that a distinct price model is required for risk management and derivative valuation in each market segment. Derivative valuation goes beyond the financial contract itself and can be very useful for taking strategic decisions on flexible generation assets]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Thu, 01 Nov 2007 12:03:39 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/91/1/Negative-prices-in-electricity-markets/Page1.html</guid>
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					  <title><![CDATA[Managing the spark spread]]></title>
					  <link>http://www.erasmusenergy.com/articles/90/1/Managing-the-spark-spread/Page1.html</link>
					  <description><![CDATA[Keywords: power plant, real options, spark spread, hedging, valuation, optimal operation<br/>Pulished in: <br/>Publication year: 2003<br/><br/>In this paper we describe the decision problem of the manager of a power plant. The plant manager needs to decide on the production levels of the facility based on current and future spark spreads and production costs. Furthermore, decisions need to be made on the optimal hedging strategy with tradable financial contracts in the electricity output and the input fuel. We show that optimal production decisions and optimal financial contracting decisions depend largely on the flexibility with which the facility can be operated, and thus on the level of volatility that may be exploited. On one side of the spectrum, so-called baseload plants will be generating power almost continuously, and hedging financial risks is done with tradable long-term forward contracts, which yields a direct value based on option theory (Margrabe, 1978). On the other side of the spectrum, so-called peaking plants will be generating power only in short periods of high demand, and hedging financial risks is only possible to a very limited extent, since financial contracts on future short-term delivery periods are barely traded. As long as the risk preferences of the plant owner are taken into account, real option valuation and optimal operating decisions can however be obtained for peaking plants by simulating the appropriate market prices in combination with the least squares Monte Carlo simulation approach (Carriere, 1996; Longstaff and Schwartz, 2001).]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Thu, 01 Nov 2007 11:58:35 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/90/1/Managing-the-spark-spread/Page1.html</guid>
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					  <title><![CDATA[Gas hubs jockey for position]]></title>
					  <link>http://www.erasmusenergy.com/articles/89/1/Gas-hubs-jockey-for-position/Page1.html</link>
					  <description><![CDATA[Keywords: <br/>Published in: Energy Risk<br/>Publication year: 2003<br/>Co-author 1: Kasper Walet<br/><br/>The Bunde-Oude natural gas hub on the German-Dutch border is the most likely candidate to become the Henry Hub of Europe, according to a survey of European natural gas experts conducted by Maycroft Consultancy Services]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Thu, 01 Nov 2007 11:45:47 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/89/1/Gas-hubs-jockey-for-position/Page1.html</guid>
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					  <title><![CDATA[To store or not to store]]></title>
					  <link>http://www.erasmusenergy.com/articles/88/1/To-store-or-not-to-store/Page1.html</link>
					  <description><![CDATA[Keywords: <br/>Published in: Energy Risk<br/>Publication year: 2003<br/><br/>Here we describe the optimal operation and valuation of gas storage based on a real option methodology. Using Zeebrugge gas prices as a practical example, Cyriel de Jong clarifies the optionality in gas storage, analyse its valuation and discuss hedging strategies to secure part of the storage value]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Thu, 01 Nov 2007 11:40:55 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/88/1/To-store-or-not-to-store/Page1.html</guid>
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					  <title><![CDATA[A coal revival in the Benelux?]]></title>
					  <link>http://www.erasmusenergy.com/articles/87/1/A-coal-revival-in-the-Benelux/Page1.html</link>
					  <description><![CDATA[Keywords: Power Baseload, coal, fuel mix, emissions trading<br/>Published in: World Coal<br/>Publication year: 2004<br/>Co-author 1: Kasper Walet<br/><br/>Currently, there is a lot of debate going on in the Netherlands whether the deregulation of the electricity market is actually working yes or no. The power-consuming industry believes the prices are artificially placed on a too high level and are undermining their competitiveness. It is expected that due to the upcoming CO2 emissions trading in the European Union the power prices will rise even more. With coal generally being the fuel with most CO2 emissions, emissions trading will certainly have its impact on the place of coal in the fuel mix for the power production. Surprisingly though, some large power-consumers recently announced plans to build a new coal-fired plant by themselves to undercut the power of the oligopoly of power producers in the Benelux. They believe coal is an excellent fuel for cheap baseload power generation Then maybe the prospects for coal as a fuel for power are not so bad? Kasper Walet and Cyriel de Jong of Maycroft Consultancy guide you through these issues and the impact on the coal industry.]]></description>
					  <author>no@spam.com (Cyriel de Jong)</author>
					  <pubDate>Thu, 01 Nov 2007 11:27:46 CET</pubDate>
					 <guid isPermaLink="true">http://www.erasmusenergy.com/articles/87/1/A-coal-revival-in-the-Benelux/Page1.html</guid>
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