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Hedging Strategy and Electricity Contract Engineering - IFOR

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3.4 Traditional risk management models 53<br />

The liquidation time can be substantial for some OTC contracts <strong>and</strong> very long<br />

for power plants. We will later show that plants actually can be seen as contracts<br />

4 <strong>and</strong> will have to be incorporated in the portfolio to determine the risk.<br />

The time to liquidate, for example, a nuclear plant, i. e. to sell the whole plant is<br />

difficult to estimate, but it will certainly be months or even years. The price risk<br />

in a plant could be substantially lowered through entering similar but inverse<br />

contracts in the market. Still, a significant open position would remain. A utility<br />

having a portfolio of plants, OTC contracts <strong>and</strong> st<strong>and</strong>ardized contract would<br />

face a difficult problem of choosing a common time horizon. In the traditional<br />

financial markets it is not seldom that different time horizon are chosen for FX,<br />

FI <strong>and</strong> equity positions. Though in the case of a utility such a differentiation<br />

would heavily penalize the plants with their tremendous liquidation times. It<br />

is questionable if this would give a reasonable risk assessment of the different<br />

positions. Either one would have to assign a very long time horizon to the<br />

illiquid positions, such as the plants or one would have to relax the connection<br />

between liquidation time <strong>and</strong> time horizon. We have in this thesis chosen to<br />

relax this connection <strong>and</strong> will work with a common time horizon over all positions.<br />

We are aware that the liquidity risk component will not be captured by<br />

this approach, but it is out of the scope of this work to further exploit liquidity<br />

risk, <strong>and</strong> we note that it is an area for further research.<br />

3.4.1.2. Variance<br />

Modern forms of risk quantification find their origins in the article by<br />

Markowitz [Mar52], where he published his work on the mean-variance portfolio<br />

problem. The portfolio variance is minimized subject to a constraint on<br />

the expected return<br />

min<br />

x<br />

x T V x<br />

s.t. x T R R p ,<br />

(3.1)<br />

where n` V n is the covariance matrix R n is a vector of mean returns<br />

<strong>and</strong> x<br />

n is the weight in each position. One can note that V per definition<br />

as a covariance matrix is symmetric <strong>and</strong> positive definite. Hence x T V x is strict<br />

convex. The linear constraint x T R R p defines a convex set <strong>and</strong> the problem<br />

4 See Chapter 4.

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