UNSW Business School Course Outline
FINS5546 Toolkit for Financial Market Decisions – 2022
Study Level Term UOC
Postgraduate Term 3 6
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Location School
On Campus and Banking & Finance Online
business.unsw.edu.au – CRICOS Code 00098G
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1. Course Details Summary of Course
Toolkit for Financial Market Decisions provides an introduction to some of the computational tools and techniques necessary to navigate through recent technological advances in the financial services industry. Using a hands-on approach, students will learn how to write simple Python codes to solve a number of practical problems. Potential projects covered in the course include the collection of Internet- based financial data, real-time analysis of arbitrage opportunities, implementation of event studies, and asset pricing, along with related analytical methods. The concepts learned in this course will help students develop a Python toolkit, which can be extended to tackle more complex problems in both traditional Finance and FinTech.
Teaching Times and Locations
Please note that teaching times and locations are subject to change. Students are strongly advised to refer to the Class Timetable website for the most up-to-date teaching times and locations.
View course timetable
Course Policies & Support
The Business School expects that you are familiar with the contents of this course outline and the UNSW and Business School learning expectations, rules, policies and support services as listed below:
Program Learning Outcomes Academic Integrity and Plagiarism Student Responsibilities and Conduct Special Consideration
Protocol for Viewing Final Exam Scripts Student Learning Support Services
Further information is provided in the Assessment and Policies and Support sections.
Students may not circulate or post online any course materials such as handouts, exams, syllabi or
similar resources from their courses without the written permission of their instructor.
Course Aims and Relationship to Other Courses
Toolkit for Financial Market Decisions (TFFMD) is intended for students of all backgrounds; no prior coding experience is required. FINS3645 (Financial Market Data Design and Analysis) provides useful background information on active areas in FinTech but is not a prerequisite for this course. TFFMD is part of the School of Banking and Finance’s FinTech (Financial Technology) series of courses, and it should provide useful background knowledge for more advanced courses. TFFMD should also prove useful for students pursuing careers outside FinTech, teaching them more efficient ways to solve standard Financial problems.
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Student Learning Outcomes
The Course Learning Outcomes (CLOs) are what you should be able to demonstrate by the end of this course, if you participate fully in learning activities and successfully complete the assessment items.
CLOs also contribute to your achievement of the Program Learning Outcomes (PLOs), which are developed across the duration of a program for all students. More information on coursework PLOs is available under Policies and Support . PLOs are, in turn, directly linked to UNSW graduate capabilities and the aspiration to develop “globally focussed graduates who are rigorous scholars, capable of leadership and professional practice in an international community”.
For PG research PLOs please refer to the UNSW HDR Graduate Attributes and LearningOutcomes . The following table shows how the CLOs for this course relate to the overall PLOs and indicates where
each CLO and PLO is assessed:
Course Learning Outcomes
Program Learning Outcomes
Course Assessment Item
On successful completion of the course, you should be able to:
This course helps you to develop the following Program Learning Outcomes:
This learning outcome will be assessed in the following items:
Develop a kit of common tools used in the financial markets that can be applied in a variety of real-world settings.
PLO 1: Business knowledge
PLO 2: Problem solving PLO 3: Business communication
PLO 4: Teamwork
Class contribution and weekly assignments Projects
Final exam
Implement alternative ways to collect, manipulate, and analyse data to answer questions related to market efficiency.
PLO 1: Business knowledge
PLO 2: Problem solving PLO 3: Business communication
PLO 4: Teamwork
Class contribution and weekly assignments Projects
Final exam
Evaluate implications of technological advances on the current and future states of the financial services industry.
PLO 1: Business knowledge
PLO 2: Problem solving PLO 3: Business communication
PLO 4: Teamwork
Class contribution and weekly assignments Projects
Final exam
Translate abstract financial theories into usable tools for competing in the finance workplace.
PLO 1: Business knowledge
PLO 2: Problem solving PLO 3: Business communication
PLO 4: Teamwork
Class contribution and weekly assignments Projects
Final exam
Collaborate in teams to find solutions to real- world problems encountered in the finance sector.
PLO 1: Business knowledge
PLO 2: Problem solving PLO 3: Business communication
Class contribution and weekly assignments Projects
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Course Learning Outcomes
Program Learning Outcomes
Course Assessment Item
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PLO 4: Teamwork
2. Staff Contact Details
Consultation Times
Lecturer- in- charge
Business School 343
Lecturer Dr Yiping – – –
Given current social distancing guidelines, we expect to conduct consultation hours online. This will be done either through Zoom or Blackboard Collaborate. Details and links will be posted on the course Moodle page.
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3. Learning and Teaching Activities
Use of your Webcam and Digital Devices: If you enrol in an online class, or the online stream of a hybrid class, teaching and associated activities will be conducted using Teams, Zoom, or similar a technology. Using a webcam is optional, but highly encouraged, as this will facilitate interaction with your peers and instructors. If you are worried about your personal space being observed during a class, we encourage you to blur your background or make use of a virtual background. Please contact the Lecturer-in-Charge if you have any questions or concerns.
Some courses may involve undertaking online exams for which your own computer or digital devices will be required. Monitoring of online examinations will be conducted directly by University staff and is bound by the University’s privacy and security requirements. Any data collected will be handled accordance with UNSW policies and standards for data governance. For more information on how the University manages personal information please refer to the UNSW Student Privacy Statement and the UNSW Privacy Policy.
Approach to Learning and Teaching in the Course
Toolkit for Financial Market Decisions uses a hands-on, project-oriented teaching approach. Sessions will first introduce a high-level task in Finance. We will then discuss solutions to that problem, building intuition from non-automated solutions. The class then pivots to the key concepts of the day, before finally implementing a solution in Python.
Toolkit for Financial Market Decisions is intended to help people studying Finance develop new skills. Such skills can help them learn alternate ways to accomplish typical work-place tasks or do things that would not otherwise be possible. Such skills help people work efficiently and develop long-term marketplace competitiveness.
Learning Activities and Teaching Strategies
Toolkit for Financial Market Decisions emphasises concrete, non-theoretical learning activities and teaching strategies. During class time, students will work side-by-side with teachers in real-time, solving typical problems encountered in Finance. This ensures that the students have experience implementing material and not simply an abstract understanding. We will also use online platforms and projects to reinforce concepts. The online Ed platform will detail key ideas and provide students with weekly practice assignments. Projects allow students to develop their own skills in Python.
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4. Assessment Formal Requirements
In order to pass this course, you must:
achieve a composite mark of at least 50 out of 100;
meet any additional requirements described in the Assessment Summary section.
You are expected to attempt all assessment requirements in the course.
Assessment Structure
Assessment Task Weighting Length Due Date
Class contribution and weekly assignments
Weekly assignments 20% Contribution 10%
Individual project (20%) Group project (15%)
Two during the term
Final Examination
Final examination period
Assessment Summary
As a student at UNSW you are expected to display academic integrity in your work and interactions. Where a student breaches the UNSW Student Code with respect to academic integrity, the University may take disciplinary action under the Student Misconduct Procedure. To assure academic integrity, you may be required to demonstrate reasoning, research and the process of constructing work submitted for assessment.
To assist you in understanding what academic integrity means, and how to ensure that you do comply with the UNSW Student Code, it is strongly recommended that you complete the Working with Academic Integrity module before submitting your first assessment task. It is a free, online self-paced Moodle module that should take about one hour to complete.
Weekly assignments (20% of total course mark) are administered through the Ed online platform. These will consist of short- and medium-length exercises to ensure that students stay current with the course material. Most tasks will be programming related, although some statistical and Financial econometric work may be required. Multiple attempts are allowed, with only the final submission counting toward the course marks. Students are encouraged to communicate with the instructors and one another on these assignments through online forums. Students earn marks toward the contribution component of the grade (10% of the overall course mark) by posing well-thought questions or posting solutions.
Two required projects give students the opportunity to apply the materials learned in class to solve
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Finance problems. The individual project will count for 20% of the total course mark and the group project will count for 15% of the total course mark. All projects must be submitted through ED. A two-hour final exam worth 35% of the overall course mark will consist of multiple choice, short-answer, and small coding tasks. This will be administered during the final exam period.
Assignment Submission Procedure
All assessment items will be submitted online. Specific instructions will be posted on Moodle during the term.
Assessment Feedback
Feedback on student performance from formative and summative assessment tasks will be provided to students in a timely manner. Assessment tasks completed within the teaching period of a course, other than a final assessment, will be assessed and students provided with feedback, with or without a provisional result, within 10 working days of submission, under normal circumstances. Feedback on continuous assessment tasks (e.g. laboratory and studio-based, workplace-based, weekly quizzes) will be provided prior to the midpoint of the course.
Special Consideration
You can apply for special consideration when illness or other circumstances beyond your control interfere with your performance in a specific assessment task or tasks, including online exams. Students studying remotely who have exams scheduled between 10pm and 7am local time, are also able to apply for special consideration to sit a supplementary exam at a time outside of these hours.
Special consideration is primarily intended to provide you with an extra opportunity to demonstrate the level of performance of which you are capable. To apply, and for further information, see Special Consideration on the UNSW Current Students page.
Special consideration applications will be assessed centrally by the Case Review Team, who will update the online application with the outcome and add any relevant comments. The change to the status of the application immediately sends an email to the student and to the assessor with the outcome of the application.
Please note the following:
1. Applications can only be made through Online Services in myUNSW. Applications will not be accepted
by teaching staff. The lecturer-in-charge/course coordinator will be automatically notified when your
application is processed.
2. Applying for special consideration does not automatically mean that you will be granted a
supplementary exam or other concession.
3. If you experience illness or misadventure in the lead up to an exam or assessment, you must submit an
application for special consideration, either prior to the examination taking place, or prior to the
assessment submission deadline, except where illness or misadventure prevent you from doing so.
4. If your circumstances stop you from applying before your exam or assessment due date, you must
apply within 3 working days of the assessment or the period covered by your supporting documentation.
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5. Under the UNSW Fit To Sit/Submit rule, if you sit the exam/submit an assignment, you are declaring yourself well enough to do so and are cannot subsequently apply for special consideration.
6. If you become unwell on the day of – or during – an exam, you must stop working on your exam, advise your course coordinator or tutor and provide a medical certificate dated within 24 hours of the exam, with your special consideration application. For online exams, you must contact your course coordinator or tutor immediately via email, Moodle or chat and advise them you are unwell and submit screenshots of your conversation along with your medical certificate and application.
7. Special consideration requests do not allow the awarding of additional marks to students.
Further information on Business School policy and procedure can be found under “Special Consideration”
on the Policies and Support page. Late Submission Penalties
Late submission will incur a penalty of 5% per day or part thereof (including weekends) from the due date and time. An assessment will not be accepted after 5 days (120 hours) of the original deadline unless special consideration has been approved. An assignment is considered late if the requested format, such as hard copy or electronic copy, has not been submitted on time or where the ‘wrong’ assignment has been submitted.
For assessments which account for 10% or less of the overall course grade, and where answers are immediately discussed or debriefed, the LIC may stipulate a different penalty. Details of such late penalties will be available on the course Moodle page.
The School of Banking and Finance supports the concept to leave the course lecturer-in-charge to stipulate a penalty of 0 to 10% of the percentage weight of the assessment component or part thereof per day. Details of such penalties will be available on the course Moodle page.
Applications for extension are restricted to cases of serious illness, bereavement or misadventure and students must provide documentary evidence. Decisions on such applications will be based on policies that are consistent with the policies adopted by UNSW Business School for such cases.
Protocol for Viewing Final Exam Scripts
UNSW students have the right to view their final exam scripts, subject to a small number of very specific exemptions. The UNSW Business School has set a protocol under which students may view their final exam script. Individual schools within the Faculty may also set up a local process for viewing final exam scripts, so it is important that you check with your School. Further school- specific information may be included below.
Further to the Business School protocol for viewing final exam scripts:
1. A student must lodge a request to view their final exam script within 3 days immediately following the
official release of overall course results. Applications must be made by completing the online form .
2. The School may fix a time at which all students wishing to see their exams will be permitted to do so,
and the School may fix a time for each course on that day. The School may refuse to allow access to
the exams at other times.
Protocol for Viewing Other Exam Scripts is the similar to that of viewing final exam scripts except the working days are defined with reference to the release date of specific assessment result.
Quality Assurance
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The Business School is actively monitoring student learning and quality of the student experience in all its programs. A random selection of completed assessment tasks may be used for quality assurance, such as to determine the extent to which program learning goals are being achieved. The information is required for accreditation purposes, and aggregated findings will be used to inform changes aimed at improving the quality of Business School programs. All material used for such processes will be treated as confidential.
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5. Course Resources
All course materials will be delivered through Moodle and Ed platforms. Students will need a computer and internet connection. Setup and configuration instructions will be available from Moodle.
Online discussion forums serve as the first point of contact between students and instructors. Instructors will actively monitor the boards. Please do not email instructors directly as online discussion allows information to be shared by everyone. Students should actively participate in the online discussion and may freely answer one another’s questions. Good online etiquette is expected, and a failure to behave properly online may be punished with negative marking on the overall course grade.
There is no formal textbook for the course. A list of recommended reference books and other material will be available on Moodle.
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6. Course Evaluation & Development
Feedback is regularly sought from students and continual improvements are made based on this feedback. At the end of this course, you will be asked to complete the myExperience survey , which provides a key source of student evaluative feedback. Your input into this quality enhancement process is extremely valuable in assisting us to meet the needs of our students and provide an effective and enriching learning experience. The results of all surveys are carefully considered and do lead to action towards enhancing educational quality.
Toolkit for Financial Market Decisions has been developed in consultation with industry. We are continually updated the course and endeavour to make it interactive, enjoyable, and of practical use. Please feel free to co
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