FIN4022S Finance & Analytics

Academic Year 2023/2024

"The aim of this module is to examine why and how Finance professionals, in corporate settings, use data and quantitative methods. A comprehensive range of quantitative techniques are reviewed, however the principal focus is on applications in Finance. The basic techniques of data analysis used by Finance professionals will be introduced. This will include a discussion of the main databases, a review of the key features of market and corporate data, as well as the techniques available for analysing this data. The module includes an introduction to empirical relationships in Finance using econometric analysis. Key applications will be examined including discounting cash flows, the time value of money and predictions of key business metrics. A particular focus will be on the evaluation of the performance of the techniques deployed in real world data.

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Curricular information is subject to change

Learning Outcomes:

Learning Objectives
1. Demonstrate knowledge and understanding of the key elements of financial analytics.
2. Apply quantitative techniques to practical real-world problems in finance and business, including problems requiring prediction.
3. Implement a range of analytical metrics in an efficient manner using spreadsheets and statistical software.
4. Evaluate from a management perspective the performance of analytics.

Student Effort Type Hours
Lectures

20

Specified Learning Activities

80

Autonomous Student Learning

150

Total

250

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: Exam Unspecified No Graded No

60

Assignment: Assignment Unspecified n/a Graded No

40


Carry forward of passed components
No
 
Remediation Type Remediation Timing
Repeat Within Two Trimesters
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Christina Burke Tutor
Ms Michele Connolly Doran Tutor
Richa Gupta Tutor
Shirley Ho Tutor
June Neo Tutor
Assoc Professor Alessia Paccagnini Tutor
Chee Shong Tan Tutor
Charlene Tan Puay Koon Tutor
Siti Zarifah Tutor

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