Unit name | Quantitative Methods for Finance and Investment |
---|---|
Unit code | EFIMM0005 |
Credit points | 15 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Dr. Khatoon |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | School of Accounting and Finance - Business School |
Faculty | Faculty of Social Sciences and Law |
An introduction to econometrics and time series techniques concentrating on those used in finance and investment . This will assist students in the understanding of applied studies in finance and prepare them for a range of optional units in the Spring Term and their dissertation in the summer. Students should be able to understand and use fundamental ideas in linear regression and apply these to panel data, limited dependent variable models, time series and volatility modelling.
Students should be able to understand and use fundamental ideas in linear regression, panel data, limited dependent variable models, time series and volatility modelling. On successful completion of the course they will be able to:
1. Demonstrate understanding of the advantages and limitations of alternative methods for defining, estimating, and making inference on unknown parameters of interest from cross-sectional, time series, and panel data.
2. Use and evaluate the results of general statistical tools with competence to approximate quantities of interest arising in economic and finance applications.
16 hours of lectures, 4 exercise lectures, 5 tutorials
100% by 2½-hour closed book written exam. This examination contains questions which assess all of the ILOs.
Ashenfelter O.(2003), P.B. Levine & D.J. Zimmerman, Statistics and Econometrics: Methods and Applications, New York, Wiley Brooks C. (2008) Introductory Econometrics for Finance Cambridge University Press Koop Gary (2005) Analysis of Financial Data New York, Wiley Stock, J. H. and M.W. Watson (2008) Introduction to Econometrics, Pearson Education, Inc.