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Lacima provides decision makers in power markets with the ability to effectively value, measure risks and manage portfolios of thermal, wind and hydro power generation contracts together with their physical assets.
Accurate pricing of electricity assets with single, multi factor and hybrid models
Lacima's proprietary industry acclaimed models provide an accurate representation of commodity price behaviour, with the ability to incorporate a diverse range of parameters such as the effects of seasonality, mean reversion and exposure to spikes, regional energy market differences, complex contracts with embedded optionality and physical asset operational constraints.
Advanced methodologies for a diverse range of risk metrics
Lacima's power risk management solutions provide a diverse range of risk metrics such as value at risk, earnings at risk, profit at risk and potential future exposure, generated from advanced methodologies based on Lacima's acclaimed research.
Aggregation of risk metrics to value electricity asset portfolios
Lacima's solutions for power risk management provide the ability to aggregate risk metrics across multiple commodities and regions, to provide a holistic view of risk across portfolios. Lacima's solutions also provide the ability to group risk metrics by any attribute (e.g.s. counterparty, book, trader contract type), for any number of time periods and percentiles, as well as the ability to jointly model several commodities and observe correlations between price changes.
Consolidate cash flow reporting from financial and physical assets
To comply with global risk reporting standards, Lacima helps you to consolidate risk metrics for financial contracts and physical assets within a single view.
Modeling operational constraints of electricity generators
Lacima provides models to capture a diverse range of operational constraints when valuing electricity assets as real options, enabling companies to dispatch generation assets more accurately than valuing them purely as a spread options between the power price and gas or fuel price. Parameters captured include a variety of unit characteristics, fuel data emissions costs, transmission loss data and outages at multiple intervals.
Modeling emissions (EU ETS) risks of electricity generation assets
Lacima's proprietary models provide an accurate representation of carbon price behaviour, with the ability to incorporate a diverse range of stochastic parameters. Our models may be combined with scenario analysis that captures specific events such as the impact of regulatory/political/legislative changes, and longer-term trends in emissions abatement curves, and the carbon supply/demand balance.
Bid stack models for optimal dispatch of electricity generation assets
Lacima provides the ability to estimate and model the relationship between price and demand (load) in power markets, such that the fat tails and spikes observed in "real world" power prices are captured, for a more accurate assessment of the value and risk of a physical unit or power contract.
Modeling of retail load volatility around power demand forecasts
Most retail loads in power are closely related to either the weather or some other diurnal supply or demand effect. Lacima's retail load model automatically estimates this relationship and the residual variability relationship, resulting in the future load outcome and simulates the variability in the load over both short and long time frames around the load forecasts.
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Overview
