Transacting in today’s highly volatile energy markets requires quick decision-making based on precise and robust analytics. cQuant.io’s cloud-based energy analytics platform puts powerful analytics in the hands of energy market participants, allowing them to examine deals from every angle. Correlated Monte Carlo price simulations provide a probabilistic view of future market conditions and facilitate sensitivity and scenario analysis on forward curves, trade volumes, contract terms, and portfolio make-up. These simulations provide a solid foundation on which to build valuations for complex deals, such as bespoke proxy unit heat rate call options, revenue put options, volume firming agreements for renewable PPAs, full or partial requirements load contracts, and other structured transactions.

Trade analysis can also be combined with cQuant’s asset valuation solution for a treatment of value and risk at the portfolio level. Asset valuation and risk assessment models for thermal generation, battery and gas storage, renewable assets and PPAs, and retail energy contracts help to provide a holistic analytical view that spans multiple asset classes and enables valuation of hybrid deals with both physical and financial components. The simulation-based approach provides insight into distributions of future cash flows, enabling rigorous evaluation of hedge effectiveness and risk reduction value in a portfolio context.