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Quant Systems Lab · Control Systems for Quantitative Finance

Swing Options and Volume Flexibility

Swing contracts grant flexible volume each period within local and global bounds, making them path-dependent real options.

Explanation

Swing options allow the holder to choose volumes within min/max bounds over time, subject to total volume constraints.

Exercise decisions depend on realised and expected future prices, making valuation a dynamic programming problem.

Swing exposure combines price risk, volume risk, and constraint risk, and is central to gas and structured power portfolios.


swingvolume flexibilitypath dependencegas
Interactive visualisation

This visual shows a stylised swing contract: per-period min/max volumes, a global cap, and a simple greedy exercise policy. The upper panel is price and strike; the lower panel is cumulative volume with local and global constraints.

Total exercised volume ≈ 80.0 / 80.0 (100% of global cap)Greedy policy payoff ≈ +882
t1t2t3t4t5t6t7t8Price (€/MWh) · cumulative volumeStrike KGlobal capBlue line: price pathGreen bars: greedy exercised volumeGrey band: cumulative min / maxSwing is a path-dependent volume option: exercise respects local and global constraints.
Numbers
Average in-the-money price (p > K) ≈ 54.6 €/MWh
Number of in-the-money periods ≈ 5 / 8
Greedy payoff ≈ +882
Interpretation

A swing option is not just a sum of independent call options. Local and global volume constraints couple decisions across time: exercising more now leaves less flexibility later.

The greedy policy here captures value by sorting periods by (P − K) and filling up to the constraints. Real valuation uses dynamic programming or stochastic control, but the mental model is simple: choose volume each period inside a band, with a running total budget, to harvest price spikes.