This lesson examines the use of financial analysis for forecasting, valuation, and practical decision-making in credit and investment contexts .

8.1 Financial Statement Analysis for Decision-Making

Financial statement analysis is applied in many contexts. The University of Exeter module requires students to “Apply financial statement analysis in making investment decisions” . The IBSL curriculum focuses on the analysis and interpretation of financial statements for decision-making in financial institutions . Application includes making credit decisions, assessing whether companies can meet their obligations and evaluating investment opportunities.

8.2 Financial Forecasting

Analysts use historical financial data to forecast future performance . The Swayam course covers forecasting income statements, balance sheets, and cash flows, including preparation of pro forma statements . The Blackbird Training course covers forecasting methodologies, scenario planning, and sensitivity analysis as part of a week-long module .

8.3 Valuation Techniques

Forecasting is often used for valuation. The Swayam course covers valuation models including asset-based, discounted cash flow (DCF), and abnormal earnings models . The Blackbird Training course also covers DCF and market-based valuation approaches . The University of Jyväskylä course covers valuation of securities, financial instruments, and forecasting (e.g., financial distress) .

8.4 Earnings Quality and Financial Integrity

A crucial aspect of financial analysis is assessing earnings quality . This involves detecting red flags and identifying accounting manipulation. The University of Exeter module requires students to “Identify accounting warning signs and methods for detecting manipulation of information on financial reports” . The Blackbird Training course includes a full day on earnings quality, covering common earnings management practices and forensic accounting fundamentals .