کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5064260 1476712 2015 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hedging strategies in energy markets: The case of electricity retailers
ترجمه فارسی عنوان
استراتژی های هجومی در بازارهای انرژی: مورد خرده فروشان برق
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


- The article analyzes the market risks faced by electricity retailers.
- Through VaR and CVaR risk measures, we compare different intra-day portfolios of hedging.
- We prove that the optimal hedging portfolio differs depending on the cluster hour.
- We also demonstrate the superior efficiency of intra-day hedging over daily hedging.

As market intermediaries, electricity retailers buy electricity from the wholesale market or self-generate for re(sale) on the retail market. Electricity retailers are uncertain about how much electricity their residential customers will use at any time of the day until they actually turn switches on. While demand uncertainty is a common feature of all commodity markets, retailers generally rely on storage to manage demand uncertainty. On electricity markets, retailers are exposed to joint quantity and price risk on an hourly basis given the physical singularity of electricity as a commodity. In the literature on electricity markets, few articles deal on intra-day hedging portfolios to manage joint price and quantity risk whereas electricity markets are hourly markets. The contributions of the article are twofold. First, we define through a VaR and CVaR model optimal portfolios for specific hours (3 am, 6 am,. . . ,12 pm) based on electricity market data from 2001 to 2011 for the French market. We prove that the optimal hedging strategy differs depending on the cluster hour. Secondly, we demonstrate the significantly superior efficiency of intra-day hedging portfolios over daily (therefore weekly and yearly) portfolios. Over a decade (2001-2011), our results clearly show that the losses of an optimal daily portfolio are at least nine times higher than the losses of optimal intra-day portfolios.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Economics - Volume 51, September 2015, Pages 503-509
نویسندگان
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