Role of financial analysis throughout the project financing life cycle.
Understanding spreadsheet design for project financing.
Characteristics of effective project analysis models: clarity, flexibility, robustness.
KIM STAKING framework: inputs, data manipulations, and outputs.
Identifying and specifying the analytical needs of key project stakeholders.
Users: Tariff affordability.
Investors: ROE expectations and payback periods.
Lenders: Debt Service Coverage Ratios (DSCRs).
Governments: Value for Money (VfM).
Structuring, labeling, and programming key financial model worksheets:
Inputs and results worksheet
Demand projections
Capital investments
Financing sources
Revenue projections
Income statement
Applying sensitivity and scenario analysis techniques.
Single-iteration variable analysis vs. multi-iteration Monte Carlo simulation analysis.
Interpreting sensitivity results to identify risk exposures.
Highlighting when additional credit enhancements are required for bankability.
Designing credit enhancement structures in project financing.
Modeling capital enhancement options
Capital contributions
Minimum demand and off-take guarantees
Reserve accounts
Subordinated debt
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