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Unit information: Quantitative Methods for Accounting and Finance in 2019/20

Please note: Due to alternative arrangements for teaching and assessment in place from 18 March 2020 to mitigate against the restrictions in place due to COVID-19, information shown for 2019/20 may not always be accurate.

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

Unit name Quantitative Methods for Accounting and Finance
Unit code EFIMM0091
Credit points 15
Level of study M/7
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Rubio
Open unit status Not open
Pre-requisites

Students should have basic understanding of linear algebra and basic calculus.

Co-requisites

Nil

School/department School of Accounting and Finance - Business School
Faculty Faculty of Social Sciences and Law

Description including Unit Aims

An introduction to econometrics techniques concentrating on those used in accounting and corporate finance, as well as some notions in time series. This will assist students in the understanding of applied studies in accounting and finance and prepare them for a range of optional units in the Spring Term and their dissertation in the summer.

Intended Learning Outcomes

By the end of the course, students will have to:

1) Recognize the different types of data sets common in accounting and finance;

2) Critically assess available empirical methods in accounting and finance;

3) Discuss the limitations of such quantitative methods;

4) Critically map different datasets with adequate quantitative methods;

5) Explain the economic meaning of outputs of the aforementioned quantitative methods applied to different datasets.

Teaching Information

25 contact hours split between large-group lectures and small-group practical classes in a computer lab.

Assessment Information

3 Hour (January) exam.

Intended learning outcomes 1) to 6) will be tested on the exam.

Reading and References

Brooks C. (2014) Introductory Econometrics for Finance Cambridge University Press

Stock, J. H. and M.W. Watson (2014) Introduction to Econometrics, Pearson Education, Inc.

Wooldridge, J. M. (2016) Introductory Econometrics, Cengage Learning

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