The AtRisk model calculates possible cash-flow and earnings distributions over the user defined horizon. It shows the expected cash-flows and earnings per month, and also the cumulative results over time. Use the cash-flow projections directly in liquidity forecasts, and help to avoid unexpected losses. The earnings projections especially provide insight into the worst-case scenarios.
Besides calculating the distribution of cash-flows and earnings, the AtRisk model helps you to find the optimal hedges. These are the forward trades which offer the best protection in case of adverse market movements. The model calculates optimal hedges over the combination of contracts and assets (power plants, gas storage, etc). The result of the hedge optimization may be directly executed in the market.
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KYOS offers Cashflow-at-Risk / Earnings-at-Risk (AtRisk model) in addition to the Value-at-Risk. Value-at-Risk is the standard risk metric for banks and many other financial or trading oriented companies. It measures the potential loss in market value of their trading book between today and some future day, typically tomorrow. In contrast, the AtRisk models are more common in organisations which are less trading oriented, for example because they are processors, producers, shippers or simply active in less liquid markets. Their horizon is typically longer than a single day and the final cash-flows or earnings are more relevant than the day-to-day value changes. KYOS specialists can advise which approach is most suitable for your company.
The model calculates the Cashflow-at-Risk and Earnings-at-Risk over all possible contract structures, including fixed price, spot indexed, and forward indexed.
Of course we have made sure that we fully embedded the AtRisk model and the accompanying simulation model KySim in the KYOS Analytical Platform. This make the application easy to use,and also allows you to disseminate the results to any person in your organisation.
The AtRisk model combines a number of inputs to calculate the distributions:
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