Empirical Methods for Finance
Objectives
This course introduces some key topics in empirical finance. It is designed to help students understand and apply several important contributions as well as introduce the quantitative tools used in the real world by analyst, managers and other professionals in finance. As a consequence of the regulatory changes (e.g., Basel III Accord) there is a growing demand in the financial industry for people with quantitative skills who are able to understand and apply these techniques on financial data, analyze results, and elaborate reports. Furthermore, the ability to synthesize information into a few, easy to interpret statistics is an invaluable analytical tool. This course will emphasize solid foundations and major empirical applications with real data.
Students will be required to use real data in exercises and to discuss and analyze the results in the classroom. Students will also be introduced to programming in STATA.
General characterization
Code
2269
Credits
3,5
Responsible teacher
Paulo M. M. Rodrigues
Hours
Weekly - Available soon
Total - Available soon
Teaching language
English
Prerequisites
Available soon
Bibliography
1. Brooks, C. (2019) Introductory Econometrics for Finance, 4th edition. Cambridge University Press, New York;
2. Campbell, Lo and MacKinlay,(1997) The Econometrics of Financial Markets” Princeton University Press;
3. Gourieroux, C. and J. Jasiak (2001) Financial Econometrics, Princeton University Press;
4. Tsay, Ruey S. (2002), Analysis of Financial Data, Wiley;
5. Wang, P. (2009) Financial Econometrics, 2nd Ed. Routledge;
6. Wilmott, Paul (2007) Paul Wilmott introduces quantitative finance, 2nd edition, John Wiley & Sons Ltd.
7. Wooldridge, J.M. (2013). Introductory econometrics: A modern approach (5th edition). Mason, OH: South-Western, Cengage Learning.
Teaching method
While lectures cover the core materials, it is important that students supplement classroom time with pre-class preparation, through independent study. Background reading is expected
Evaluation method
Students will be assessed on two assignments (30%) and a final exam (70% - minimum grade requirement 7).
Subject matter
Financial Regression Analysis
I.1 - Simple regression.
I.2 - Multivariate regression.
I.3 - Inference
I.4 - Model specification tests.
I.5 - Instrumental variable regression.
Programs
Programs where the course is taught: