Business 30131, Advanced Financial Analysis and Valuation for Global Firms
The course covers advanced financial analysis and valuation for global firms. It is designed for students that already have a basic familiarity with corporate valuation and DCF analysis (e.g., from corporate finance class or a prior job) as well as solid accounting knowledge. We cover financial analysis of different business models, specific situations (e.g., cyclicals, young growth companies, closely-held firms) as well as the analysis and valuation of foreign companies (e.g., emerging markets, reporting under IFRS). Capital markets have become increasingly global, providing more opportunities for corporate investments and M&A abroad. Evaluating these global investments, however, poses unique challenges for financial analysis (e.g., regarding information, accounting and governance) as well as valuation problems.
This course is likely useful for students who aim for careers in consulting, investment banking, investment management, equity or credit analysis, transaction services, private equity and venture capital, as well as corporate finance, including M&A functions. It is a capstone class, drawing on other classes at Booth.
Business 30903, Topics in Empirical Accounting Research
The course is designed for Ph.D. students in accounting, finance and related fields. Broadly speaking, its primary objective is to advance your understanding of empirical research on the role of accounting information and disclosure in capital markets, corporate finance and corporate governance. The course covers a wide range of topics, including disclosure studies (e.g., on the link between disclosure and the cost of capital) studies on disclosure and securities regulation, on earnings management as well as studies on governance and international research in accounting. We will also cover studies on bank regulation, market-to-market accounting and the crisis. For each of the topics, we will discuss economic hypotheses, research methodologies, econometric techniques, and data issues. We will also discuss ideas for future research in various areas.