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Project Analyzer

Project Analyzer™ is an advanced project financing analysis solution that helps financial institutions mitigate the credit risk and assess the viability of debt-financed projects. Project Analyzer shortens the time spent on the analysis and assessment of project financing to hours from the days it can take using spreadsheet-based modeling techniques.

Project Analyzer enables financial institutions to mitigate the risk of debt-financed projects by allowing users to input the project parameters and quickly run advanced simulations to measure impact on the project. Eliminating the need for spreadsheet expertise, Project Analyzer automatically calculates sales projections, costs, expenses, depreciation, financing and taxes to arrive at projected cash flows, making it easy to assess the future financial viability of a project.

Project Analyzer lets you:

  • Reduce Operational Risk
    Analyze projects in every business sector, using consistent methods of evaluation and documentation across projects to help reduce operational risk.

  • Forecast with Ease
    Evaluate short or long-term financing requirements with key project factors such as Net Present Value, Internal Rate of Return, Payback Period and maximum exposure.

  • Perform Sensitivity Analysis and “What-If Scenarios”
    Quantify the effects of changes in the interest rate, lower-than-expected revenues, or other adverse conditions that may affect the borrower’s ability to repay.

  • Generate Professional Output
    Make professional presentations using the extensive report generator to combines tables, graphs and comments into easy-to-read reports in common formats.

Project Analyzer comes with a variety of standard reports to support your analysis, including appraisals, customer detail data and much more.

Overview of CreditQuest® Project Analyzer

Overview

Detail

Two key functional areas of CreditQuest, Financial Analyzer and Project Analyzer, help financial institutions control credit risk through analysis of both financial statements and projected financials for a borrower or specific commercial project. The data collected in CreditQuest can be used to develop a baseline for calculating Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD)–all elements of an Expected Loss (EL) calculations. These calculations can in turn be used to strengthen the institution’s overall risk rating model