Torben G. Andersen is the Nathan S. and Mary P. Sharp Professor of Finance. He joined the faculty in 1991 and is a Faculty Research Associate of the National Bureau of Economic Research (NBER) and an International Fellow of the Center for Research in Econometric Analysis of Economic Time Series (CREATES) in Aarhus, Denmark. In addition, Professor Andersen was elected Fellow of the Econometric Society in 2008, and Fellow of the Society for Financial Econometrics, SoFiE, in 2013, Fellow of the Society for Economic Measurement (SEM) in 2018, Fellow of the International Association for Applied Econometrics (IAAE) in 2020, and Fellow of the Journal of Econometrics in 2021. He served as Chair of the Finance Department for the period 2015-2017, and he is currently a co-editor of the Journal of Econometrics.
Professor Andersen has published widely in asset pricing, empirical finance, and empirical market microstructure. His work centers on the modeling of volatility fluctuations in financial returns with applications to asset and derivatives pricing, portfolio selection, and the term structure of interest rates. His current work explores the use of large sets of high-frequency data for volatility forecasting, portfolio choice and risk management. He has received grants from the National Science Foundation, the Sloan Foundation, and the Institute for Quantitative Research in Finance (the Q-Group). He served as the editor-in-chief for the Journal of Business and Economic Statistics in 2004-2006, Co-Editor for the Journal of Financial Econometrics, 2009-2014, and has served on the editorial board of leading journals, including the Journal of Finance, Review of Financial Studies, Econometric Theory, Journal of Econometrics, and Management Science.
Professor Andersen has consulted for the Brattle Group, Charles River Associates, trading firms, the Federal Reserve Board of Governors, regional Federal Reserve Banks, foreign Central Banks, and universities. He received his PhD in Economics from Yale University.
Financial Econometrics, Asset Pricing, Empirical Finance, International Finance, Market Microstructure
International Finance, Financial Econometrics, Empirical Finance
Pedagogy: lecture-based class with some case-based discussion, weekly group and individual assignments, a midterm and a final.
Finance 1 answers managers' and investors' most fundamental finance question: how should a project or an asset be valued? Managers must determine the value of building a factory, entering a new market, or purchasing an entire firm when deciding in which projects to invest. Similarly, individuals must assess the value of financial securities to decide how to invest their wealth. Using a combination of lectures and business cases, Finance 1 teaches the discounted cash flow and multiples methods to value projects or assets. These valuation tools lay the foundation for all work in capital markets and corporate finance.
Prerequisite: Business Analytics I (DECS-430-5)
Corequisite/Prerequisite: Accounting for Decision Making (ACCT-430) and Business Analytics II (DECS 431-0)