This course will empower delegates with the knowledge of how to assess the client’s ability to make a success of their businesses over time and how to generate enough levels of free cash flow to repay their loans. Through the use and application of financial modelling and sensitivity analysis using Microsoft Excel, this program allows the delegate to measure anticipated risk impact on the client’s corporate cash flows and client debt repayment through the Debt Service Coverage Ratio.
We will use applied real-world debt structuring in banking case studies and their financial models to understand the impact of credit risk on cash flow generation. We will structure and sensitise base case and downside case lending scenarios as part of our debt structuring. This is to ensure the creation of loan repayment schedules that can be realistically repaid from anticipated cash flow while protecting the bank’s debt exposure.
Learning techniques are a mixture of formal presentations, written materials, assignments and case studies. Heavy emphasis is on learning through analysing practical examples of corporate loan candidates. All case studies are from real-life working examples and can include client companies of the bank, particularly non-performing loans. Sharing already developed knowledge and learning to work on solving practical issues is a core to the learning method of this programme.
Debt structuring using cash flow modelling training has active delegate participation. Delegates will present their findings and solutions to their colleagues in class via the screen-sharing option available through the online platform.
To maximise the training time available during the daily online sessions, we will be asking delegates to prepare work between the sessions. This will include reading case studies in advance and preparing some discussion topics for the following sessions.