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Copula-Based Hedge Ratios for Renewable Power Generation

In: Handbook of Risk Management in Energy Production and Trading

Author

Listed:
  • Audun Nordtveit

    (Norwegian University of Science and Technology (NTNU))

  • Kim T. Watle

    (NTNU)

  • Stein-Erik Fleten

    (NTNU)

Abstract

The electricity price and production volume determine the revenue of a renewable electricity producer. Feed-in variations to power plants and high price volatility result in significant cash flow uncertainty. A copula-based Monte Carlo model is used to relate price and production volume and to find optimal hedge ratios through minimization of risk measures such as variance, hedge effectiveness, cash flow at risk, and conditional cash flow at risk. In our case study, all risk measures argue for an optimal hedge ratio between 35 and 60% of expected production. The highest risk reduction is achieved by the use of forward contracts with long time to maturity but at the expense of a low risk premium. Conversely, short-term futures and forwards only provide marginal risk reduction, but can yield attractive positive risk premiums. These findings underline the importance of distinguishing the use of derivative contracts for speculation and hedging purposes, through positions in short-term and long-term contracts, respectively.

Suggested Citation

  • Audun Nordtveit & Kim T. Watle & Stein-Erik Fleten, 2013. "Copula-Based Hedge Ratios for Renewable Power Generation," International Series in Operations Research & Management Science, in: Raimund M. Kovacevic & Georg Ch. Pflug & Maria Teresa Vespucci (ed.), Handbook of Risk Management in Energy Production and Trading, edition 127, chapter 0, pages 313-351, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-9035-7_13
    DOI: 10.1007/978-1-4614-9035-7_13
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