Generation asset analytics and risk management
You will gain an overview of different price models and numerical techniques to allow you to value and manage a portfolio of thermal, wind, and hydro generation assets along with standard power contracts. You will learn how to delta hedge assets, calculate a variety of risk metrics such as value-at-risk, earnings-at-risk, potential future exposure, and how to analyse these risk metrics.
This course can be tailored to your needs. A sample outline is shown below:
Day 1
Morning
Implementing models and numerical techniques
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Lessons from the data:
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Power, gas, oil and other fuel prices
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Temperature, wind
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Load/bid stacks
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Overview of modelling approaches
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Single-factor models
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Multi-factor models
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Hybrid models
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Parameter estimation
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Volatility, mean reversion, jump parameters
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Numerical techniques
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Simulations
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Trinomial trees
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Least squares Monte -Carlo
Workshop: calibrating models and implementing Monte-Carlo simulations
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How to estimate mean reversion parameters
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How to estimate jump parameters
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How to estimate spot volatility
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Implementing Monte-Carlo for mean reverting models
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Implementing antithetic techniques
Afternoon
Valuing generation assets part 1: basic concepts and valuation of thermal generation assets
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Understanding the concept of generation assets as real options
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Operational parameters of generation assets
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Impact of running regimes on modelling requirements
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Methods for valuing thermal generation assets
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Spark spread options
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Using Monte-Carlo simulation techniques
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Stochastic dynamic programming
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Least squares Monte-Carlo methods
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Advantages and disadvantages of each method
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Spark spread options
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Intrinsic and extrinsic value
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How to apply the spread option approach to value generation assets
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Incorporation of emissions
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How to apply Monte-Carlo simulation techniques
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Implementing real thermal unit properties
Workshop: valuing thermal generation assets
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How to value generation assets as a portfolio of analytic spread options
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How to incorporate emissions
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Monte Carlo evaluation of a spark spread generator model
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Monte Carlo evaluation with antithetic sampling of a spark spread generator
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Monte Carlo evaluation of a dual fuel unit
Day 2
Morning
Valuing generation assets part 2: approaches to value wind and hydro assets
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Modelling wind generation
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What the data tells us
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Implementing a single unit
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Implementing a wind farm
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Types of hydro generation assets
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Run of river
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Pump storage
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Single reservoir
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Multiple reservoir and cascaded systems
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Methods for valuing hydro generation assets as real options
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Using stochastic dynamic programming
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Monte-Carlo simulation techniques
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Other generation assets
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Geothermal
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Solar
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Compressed air storage
Workshop: valuing wind and hydro assets
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Monte-Carlo evaluation of a wind generator
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Monte-Carlo evaluation of a hydro generator
Afternoon
Hedging and risk management
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How to hedge generation assets
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'Delta' hedging
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Static hedging with portfolios of options
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How to define and calculate key risk metrics
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Value-at-risk
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Earning-at-risk/revenue-at-risk/gross margin at risk
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Potential future exposure
Workshop: delta hedging generation assets
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Delta hedging of heat rate options
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How to calculate deltas for generation assets
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Earnings-at-risk for full requirements contracts
To discuss your in-house course requirements, contact us.