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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Capital Market Anomalies (CMSE11200)

Course Outline
SchoolBusiness School CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits15 ECTS Credits7.5
SummaryThis elective is designed to provide an overview of capital market anomalies. It provides a conceptual framework for understanding the academic research on anomalies and evaluate whether certain anomalies can be profitably exploited. Some of the anomalies to be addressed include: value and momentum anomalies, accruals anomaly, post-earnings announcement drift, analysts¿ recommendations and earnings forecasts anomaly, insider trading, and several seasonal anomalies. This course also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios.

Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements For Business School PG students only, or by special permission of the School. Please contact the course secretary.
Course Delivery Information
Not being delivered
Learning Outcomes
On successfully completing the elective you will:

- be up to speed with important developments in the area of traditional finance and the associated practical insights they provide;
- have a deeper understanding of the market efficiency debate and recent developments;
- be in a position to exploit market anomalies appropriately;
- develop the ability to appraise critically some of the claims made by traditional finance proponents.

Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
Keywordsfin-CMA
Contacts
Course organiserDr Maria Michou
Tel: (0131 6)50 8341
Email: Maria.Michou@ed.ac.uk
Course secretaryMiss Rachel Allan
Tel: (0131 6)51 3757
Email: Rachel.Allan@ed.ac.uk
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