The client requested Crisil's support to transform manual capital structuring to a real-time automated process
Its requirement included strict constraints related to credit metrics and market dynamics
How Crisil's GR&RS team works
The team created an algorithm for two-way optimization of capital structure considering the constraints related to credit metrics and market components
This algorithm was concise to migrate and integrate with the main corporate model
With the board targeting to avoid undue pressure on repayments, a roll-over process was set up to optimize the amortization schedule
A revolver credit facility was established that would be activated in case of any negative cash flows in the short term
The algorithm was sequential in nature and considered the minimum of multiple cash flow metrics relevant to the industry
Market mapping of competitors was conducted to create the base of the financing mix framework and upcoming capital expenditure plans
How Crisil GR&RS made a difference
Crisil’s capital structure optimization algorithm helped to transform the model into a more robust and practical one
The utility firm’s tax shield savings rose 3-4%; WACC also improved
Turnaround time was reduced to less than a minute with this new algorithm
With the absence of manual intervention, data accuracy improved
Provisions were made to add any new constraint or angle of analysis within the algorithm