Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer and Convener
Terry Pan
Room 737, Building 4ER
Refer to iLearn
Guest Lecturer
John Inekwe
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
(Admission to MCom in Finance or MBkgFin) and (AFIN808 and AFIN818)
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit describes and analyses the methodology of contemporary research in banking and finance. It investigates research methods employed across a wide variety of current topics in banking and finance.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
General Information
This course introduces you to the fundamentals of doing research. The course is designed to introduce you to an understanding of a variety of different methods, study designs and the fundamentals of qualitative and quantitative analysis. You will apply the skills by developing your own research questions, study design and project relevant to your studies or professional lives. The course will also provide a foundation to those of you who plan to conduct further research as part of your postgraduate studies. No prior knowledge or experience in research is required to take this course, apart from the prerequisites listed. The course is aimed at the postgraduate level.
Marks
It is the responsibility of students to view their marks for each within session assessment on iLearn within 20 working days of posting. If there are any discrepancies, students must contact the unit convenor immediately. Failure to do so will mean that queries received after the release of final results regarding assessment marks (not including the final exam mark) will not be addressed.
Feedback Prior to the Census Date
Self-assessment exercise question(s) will be released in Week 3 for feedback prior to the census date. The answers will be discussed before the census date in Week 4.
Assessment Criteria
Assessment criteria for all assessment tasks will be provided on the unit iLearn site.
Name | Weighting | Hurdle | Due |
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Data Analysis Project | 20% | No | Week 7 |
Research Proposal | 40% | No | Week 12 |
Final Exam | 40% | No | Examination Period |
Due: Week 7
Weighting: 20%
Task Description: A project will be designed to test the knowledge on data analysis using R (Week 3 to Week 5). More details will be announced in class. Type of Collaboration: Individual Submission: on-line Format: Refer to ilearn Length: Refer to ilearn Inherent Task Requirements: Refer to ilearn Late Submission:
No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved. No submission will be accepted after solutions have been posted
Due: Week 12
Weighting: 40%
This task involves the oral presentation of a research proposal. You are to form a team with your colleagues (final number of teams and members per team is dependent on the class size).
Your group will prepare a 15 minute presentation (10 marks), outlining a research proposal suitable for the chosen scenario building on the knowledge from the previous weeks. Students failing to join a group by Week 6 or not partaking in the group presentation without grounds will be awarded a mark of 0 (zero).
A formal research proposal (max. 2000 words excluding references) (20 marks) should be submitted by Friday 5pm of Week 12.
An individual working log (max. 500 words) (10 marks) should be submitted by Friday 5pm of Week 12.
Further details will be announced in class.
Type of Collaboration: Team Project Submission: In Class & On-line Format:Refer to iLearn
Length: Refer to iLearn Inherent Task Requirements: Refer to iLearn Late Submission:No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved. No submission will be accepted after solutions have been posted
Due: Examination Period
Weighting: 40%
This task involves the analytical assessment using methods covered in the whole semester.
Further details for the examination will be announced in class.
Type of Collaboration: Individual Submission: Take home exam (provided 48 hours before) to be submitted online Format: Refer to iLearn Length: 48 hours to complete the exam Inherent Task Requirements: Refer to iLearn Late Submission:No extensions will be granted. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late (for example, 25 hours late in submission – 20% penalty). This penalty does not apply for cases in which an application for special consideration is made and approved. No submission will be accepted after solutions have been posted
Required Text: | There is no prescribed textbook. Readings (where applicable) are taken from relevant academic books and journals. Refer to iLearn for further details. |
Unit Web Page: | Access to iLearn |
Technology Used and Required: |
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Delivery Format and Other Details: |
Classes Students must thoroughly read all assigned materials before coming to the class so that they are fully prepared to discuss the key issues. Timetables You are required to attend your timetabled classes. The timetable for classes can be found on the University web site http://www.timetables.mq.edu.au/ |
Recommended Readings: | |
Other Course Materials: |
Week | Seminar |
1 | Module 1 - The Research Process |
2 | Module 2 - Problem Formulation, Research Design and Literature Reviews |
3 | Module 3 - Introduction to Research Data |
4 | Module 4 - Linear Regression: OLS |
5 | Module 5 - Instrumental Variable Regression |
6 | Module 6 - Natural Experiments (DiD and RDD) |
7 | Module 7 - Event Study and Performance Evaluation |
RECESS | |
8 | Module 8- Exploratory Research & Qualitative Methods |
9 | Module 9 -Introduction to Survey Research & Questionnaire Design |
10 | Module 10 - Survey Research & Questionnaire Design II |
11 | Module 11- Lab and Field Experiment |
12 | Group Presentations |
13 | Revision |
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Supplementary exams
Information regarding supplementary exams, including dates, is available at:
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Our postgraduates will be able to demonstrate a significantly enhanced depth and breadth of knowledge, scholarly understanding, and specific subject content knowledge in their chosen fields.
This graduate capability is supported by:
Our postgraduates will be capable of utilising and reflecting on prior knowledge and experience, of applying higher level critical thinking skills, and of integrating and synthesising learning and knowledge from a range of sources and environments. A characteristic of this form of thinking is the generation of new, professionally oriented knowledge through personal or group-based critique of practice and theory.
This graduate capability is supported by:
Our postgraduates will be capable of systematic enquiry; able to use research skills to create new knowledge that can be applied to real world issues, or contribute to a field of study or practice to enhance society. They will be capable of creative questioning, problem finding and problem solving.
This graduate capability is supported by:
The course has been resigned to cover a wider variety of different methods with broader applicability.