ETC3460 / ETC5346 Financial Econometrics (Sem 1 2022)


Difficulty:

Year Completed: Semester 1, 2022

Prerequisite: ETC2410

(or ETC3440, or ETF2100, or ETW2510, or MTH2232)

 

Exemption:

CM2 Financial Engineering and Loss Reserving 

ETC3420 (20%), ETC3460 (25%), ETC3520 (55%)

Weighted average of 70% required. Minimum of 60% required for

each unit.


Mean Setu Score: 69.65%

 

Clarity of Learning Outcomes: 70.97%

Clarity of Assessments: 71.74%

Feedback: 67.39%

Resources: 64.13%

Engagement: 81.72%

Satisfaction: 61.96%


Subject Content:

Lecture(s) and Tutorial(s):

Textbook(s):

Assessments:

 
  1. Introduction

  2. Background statistics

  3. Financial asset prices, returns and risks

  4. Mitigating risk - portfolio theory

  5. Asset pricing models

  6. Efficient market hypothesis and implications

  7. Modeling predictable returns

  8. ARCH

  9. ARCH and GARCH

  10. Modeling asymmetry in volatility

  11. Multivariate modeling

  12. Unit review/group presentation

 

1 x 2 hour lecture

1 x 1.5 hour tutorial

 

N/A

Group Project (Part A): 3%

Assignment 1: 15%

Group Project (Part B): 7%

Assignment 2: 15%

Final Exam: 60%


Comments

The content in this unit mainly focuses on volatility modeling and

seems very relevant. The content built on the prior weeks well and

tutorials often covered material not covered in the lecture in

addition to practicing the material covered in the lecture.

The lectures were often engaging and are very important as the

lecturer covers topics beyond the lecture slides. The lecture

consisted of a good balance of theory and example. The example

was usually used to consolidate the theory covered. The lectures

were fully recorded and uploaded to Moodle. The lectures were

covered by topic rather than weekly and some topics took longer

than a week to complete.

Tutorials began in the second week and focused on answering

questions and covering theory from the prior week's lecture. The

tutorial heavily focused on using Eviews to answer questions. It is

recommended to attend tutorials however tutorials recordings

were uploaded to Moodle in week 12. Often the tutorial would

build on topics from the lecture and teach material that wasn’t

covered in the lecture.

The assignments were a good opportunity to test the knowledge

learnt in the lectures and tutorials. The questions were more

difficult than tutorial questions and relied heavily on Eviews and

Excel. The assignments were marked strictly, but because they

were group assignments there were plenty of opportunities to

correct potential mistakes. The group report / presentation was a

very good application of the content. Assignments and exams

were similar however the exam consisted of more mathematics

and less portfolio analysis.

 

The exam structure was similar to the 2021 exam. The exam

mainly focused on ARCH and GARCH modeling and interpreting

Eviews output. The examiner uploaded one practice exam and its

solution. The exam was handwritten and required the students to

upload the answers at the end of the exam. The exam tested

students' memory more than their understanding of the content

covered.

Students should focus on remembering the content as much as

possible for the exam. Students should put emphasis on the

derivations as having a strong understanding of them will be

useful for all assessments.

General Overview:

Lectures:

Tutorials:

Assessments/Other Assessments

Exams

Concluding Remarks