- Professor Ronan Powell
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Curricular information is subject to change
On completing this module, you will be able to:
1) Evaluate, summarise and discuss the research contributions and findings of top journal academic papers in empirical finance;
2) Work in teams to manipulate large datasets, and develop econometric models using a statistical package (e.g., Stata) to test hypotheses and theories;
3) Demonstrate sound critical, analytical, and presentation skills, discuss and write-up your own research results in academic paper format;
4) Analyse and model empirically slected investment strategies and investment/financing choices, and evaluate the ex-post performance and impact on investors and other key stakeholders.
Content is subject to change, but the following key topics are typically covered?
1. Review of key theories and empirical evidence on agency theory
2. IPO background and theory
3. Takeovers around the world and information asymmetry
4. Governance and firm value
5. Predicting events and returns - IPO failure and takeovers
6. Venture capital and firm performance
7. Dynamic modeling applied to capital structure
8. Corporate cash holdings
|Student Effort Type||Hours|
|Specified Learning Activities||
|Autonomous Student Learning||
Not applicable to this module.
|Description||Timing||Component Scale||% of Final Grade|
|Class Test: Final In-Class Test||Week 12||n/a||Graded||No||
|Class Test: Mid-Session Class Test||Week 7||n/a||Graded||No||
|Project: Project (Empirical Paper)||Throughout the Trimester||n/a||Standard conversion grade scale 40%||No||
|Remediation Type||Remediation Timing|
|In-Module Resit||Prior to relevant Programme Exam Board|
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
Students can inspect in-class exams post assessment. Post exam feedback is also provided in the lecture and a document uploaded to Brightspace so students can evaluate and improve future exam performance. Projects will be returned by email with a cover sheet showing how the group performed. The project will also be returned with tracked comments and changes.
|Ms Jiaman Xu||Lecturer / Co-Lecturer|