Swing options are typical components of gas contracts, which offer the opportunity to vary the contracted volume under a number of restrictions. They are also known as Take-or-Pay (ToP), interruptible and variable load contracts.
Each day in the contract period, the swing valuation advises how much gas should be taken from the contract. For example, boundary prices show above which price the maximum contract quantity should be nominated, and below which price the minimum quantity should be nominated. Together with boundary prices of other storage assets and swing contracts, a portfolio manager can rank the assets from low opportunity cost to high opportunity cost. As a result, creating an internal merit order for portfolio optimization is easy.
KySwing advises what forward transactions are optimal to hedge the risks and lock in profits. The user can choose between intrinsic and delta hedging, two strategies to secure profits. It can not only provide hedge recommendations for the asset alone, but also for multiple assets together or for a portfolio of assets.
The swing model calculates the fair price of a swing contract. The model shows which part of the value is intrinsic, and can be made easily. It also shows which part is extrinsic, requiring a more active trading strategy. With an intuitive and realistic Monte Carlo simulation model, it is easy to derive extrinsic values.
KySwing applies a combination of forward and spot trading strategies to the simulated price scenarios, using rolling intrinsic and least-squares Monte Carlo. Therefore, this type of valuation provides a fair assessment of the future value. Finally, backtesting of the model is another feature: it shows how much money you would have made in the past, following a specific trading strategy.
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Furthermore, we include all contract constraints in the optimization. This includes volumetric constraints on one or more periods (e.g. daily, monthly and annual contract constraints). In addition, KySwing accepts contracts based on a variety of spot and forward indexed products.
KySwing is fully embedded in the KYOS Analytical Platform. With automated data feeds, up-to-date swing valuations are always available. Furthermore, it is possible to establish further integration with third party ETRM systems.
KySwing is based on advanced Monte Carlo simulation techniques. Important characteristics are a mean-reverting multi-factor model with long-term, short-term and seasonal dynamics. Users can also import their own price simulations, or use those of KySim.
The model applies Least Squares Monte Carlo techniques to calculate the optimal trading and operating decisions. The accompanying calibration tool uses historical data to easily derive the volatility term structure and other simulation inputs. Similarly, implied option volatilities may be used as well, by overwriting the historical volatility estimates.
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