Evaluation of static hedging strategies for hydropower producers in the Nordic market

In this paper we develop an optimization model to derive static hedge positions for hydropower producers with different risk characteristics. Previous research has primarily considered dynamic hedging; however, static hedging is the common choice among hydropower producers because of its simplicity. Our contribution is to evaluate such hedging out of sample. The hedging strategies we analyze include a natural hedge, which means no hedging, and output from an optimization model that we develop ourselves. The results show that, although optimized positions vary over time, hedging with use of forward contracts significantly reduces the risk in terms of value-at-risk, conditional value-at-risk and standard deviation of the revenue. Furthermore, this improvement results in only a minor reduction in mean revenue.

[1]  Panos Kouvelis,et al.  Handbook of Integrated Risk Management in Global Supply Chains , 2011 .

[2]  Stein-Erik Fleten,et al.  Risk Management in Electric Utilities , 2011 .

[3]  V. Meneu,et al.  Expectations and Forward Risk Premium in the Spanish Deregulated Power Market , 2010 .

[4]  A. Salo,et al.  Optimization of Electricity Retailer's Contract Portfolio Subject to Risk Preferences , 2010, IEEE Transactions on Power Systems.

[5]  Petter Bjerksund,et al.  Gas Storage Valuation: Price Modelling v. Optimization Methods , 2008 .

[6]  A. Conejo,et al.  Optimal Involvement in Futures Markets of a Power Producer , 2008, IEEE Transactions on Power Systems.

[7]  F. Benth,et al.  Stochastic Modeling of Electricity and Related Markets , 2008 .

[8]  Hedging Exposure to Electricity Price Risk in a Value at Risk Framework , 2007 .

[9]  Shmuel S. Oren,et al.  Hedging quantity risks with standard power options in a competitive wholesale electricity market , 2006 .

[10]  Robert L. Winkler,et al.  The Optimizer's Curse: Skepticism and Postdecision Surprise in Decision Analysis , 2006, Manag. Sci..

[11]  T. Kristiansen Hydropower scheduling and financial risk management , 2006 .

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

[13]  Jussi Keppo,et al.  Electricity load pattern hedging with static forward strategies , 2005 .

[14]  Chi-Keung Woo,et al.  Managing electricity procurement cost and risk by a local distribution company , 2004 .

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

[16]  Ryan Wiser,et al.  QUANTIFYING THE VALUE THAT WIND POWER PROVIDES AS A HEDGE AGAINST VOLATILE NATURAL GAS PRICES , 2002 .

[17]  H. Luthi,et al.  Power portfolio optimization and the importance of operational flexibility , 2002 .

[18]  W. Ziemba,et al.  Hedging electricity portfolios via stochastic programming , 2002 .

[19]  R. Rockafellar,et al.  Conditional Value-at-Risk for General Loss Distributions , 2001 .

[20]  Kenan-Flagler Business School How Firms Should Hedge ¤ , 2001 .

[21]  E. Krapels Electricity Trading and Hedging , 2000 .

[22]  H. Bessembinder,et al.  Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets , 1999 .

[23]  A. Henney,et al.  Managing Total Corporate Electricity/Energy Market Risks , 1998 .

[24]  Yves Smeers,et al.  Toward a contract portfolio management model for a gas producing firm , 1990 .