This highly participative EuroMaTech Corporate Credit Analysis training course hones financial expertise in interpreting and evaluating company performance and credit quality through examination of key financial and qualitative information. There is a great need today for financial professionals to be equipped with cutting-edge skills to scrutinize and “get behind” the numbers in order to determine company direction and debt capacity.  Through astute financial analysis, analysts should be well-positioned to judge management performance and strategy, and make sound financial and credit decisions to support one’s own organization and career.

This Corporate Credit Analysis training course provides vital skills such as financial forecasting, formulation and analysis of different scenarios, and reinforces the confidence to speak persuasively and with assurance about financial credit analysis with colleagues and clients, thereby leading to reputation enhancement as a credit expert. Through application of these skills to the tasks and challenges faced in work, breakthroughs never thought possible can be achieved.

This EuroMaTech training course seeks to help delegates:

• Read and understand financial information to evaluate performance and trends accurately
• Embed and apply present value concepts to expected future cash flows to make the best financial and credit decisions
• Use comparative ratio analysis to pinpoint areas of concern
• Identify key success factors, warning signals, negative and positive trends
• Become familiar with key financial credit metrics used by leading global companies
• Project with confidence the future performance of the firm and its investments through accurate, real-world analysis

TRAINING OBJECTIVES

• Understanding the content of, and relationships between, primary financial statements (income statement, balance sheet, cash flow statement), with emphasis on cash flow
• Utilizing financial statements to evaluate the financial and strategic performance and creditworthiness of an organization
• Appreciation of statistical techniques and their application to financial decision making and credit analysis
• Identifying key success factors, early warning signs, and financial momentum signals in your own industry sector
• Understanding of PD (Probability of Default), LGD (Loss Given Default) and other indicators, as credit metrics
• Building a realistic forecast, under a base case, upside and downside scenarios
• Identification and utilization of financial and business data sources that give insights into business and financial strategies and credit decisions
• Constructing and using rigorous excel spreadsheets for financial analysis, from the basics to more complex models
• Enhancing professional and personal networks among colleagues of similar background, talent and potential