Students

ACST3059 – Actuarial Modelling

2020 – Session 2, Special circumstance

Notice

As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group learning activities on campus for the second half-year, while keeping an online version available for those students unable to return or those who choose to continue their studies online.

To check the availability of face to face activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit convenor and teaching staff
Jackie Li
Contact via Email
Room 725, 4 Eastern Road
Thursdays 11am-12pm during teaching weeks
Teaching staff
Bruce Edwards
Contact via Email
-
-
Angela Chow
Credit points Credit points
10
Prerequisites Prerequisites
ACST358 or ACST3058
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description

In this unit industry participants work together with students throughout the session. The unit integrates and synthesises the knowledge learnt over the actuarial degree and foreshadows the transition to a professional career. Students will use survival models to estimate decrement rates from actual experience, compare these with the rates in standard tables, and prepare new standard tables. As part of the construction of new tables, consideration will be given to risk factors and the effects of selection; design of data collection; statistical analysis and graduation of the observed rates; and testing of the graduation. The unit concludes with a review of actuarial concepts covered in the three-year undergraduate actuarial program and an introduction to the 'actuarial control cycle', a conceptual framework of the processes for developing and managing financial enterprises and products. Students develop graduate level critical analysis, problem solving and communication skills, and an awareness of the challenges facing businesses. Students gaining a Credit average in both ACST3058 and ACST3059 (minimum mark of 60) will satisfy the requirements for exemption from professional subject CT4 of the Actuaries Institute.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Describe and communicate effectively the principles of actuarial modelling and apply them to common actuarial problems both individually and in a team environment.
  • ULO2: Model and critically analyse scenarios involving financial risks for various types of financial institutions and compare ways of managing these risks.
  • ULO3: Discuss the concept of the Actuarial Control Cycle and apply it to solve a variety of practical business problems involving financial and actuarial risks.
  • ULO4: Describe how to test crude estimates for consistency with a standard table or a set of graduated estimates and describe the process of graduation.
  • ULO5: Derive the maximum likelihood estimator for the parameter of Binomial and Poisson models and describe how to estimate transition intensities depending on age, exactly or using the census approximation.

General Assessment Information

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.

Assessment Tasks

Name Weighting Hurdle Due
Group Assignment 20% No Week 3 to Week 12
Class Test 20% No Week 7
Final Exam 60% No University Exam Period

Group Assignment

Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 20 hours
Due: Week 3 to Week 12
Weighting: 20%

An assignment requiring data analysis and investigation along with a written report (word limit of up to 5000 words) and an oral presentation.


On successful completion you will be able to:
  • Describe and communicate effectively the principles of actuarial modelling and apply them to common actuarial problems both individually and in a team environment.
  • Model and critically analyse scenarios involving financial risks for various types of financial institutions and compare ways of managing these risks.
  • Discuss the concept of the Actuarial Control Cycle and apply it to solve a variety of practical business problems involving financial and actuarial risks.

Class Test

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 10 hours
Due: Week 7
Weighting: 20%

The test will be approximately 90 minutes, to be held during class time.


On successful completion you will be able to:
  • Describe how to test crude estimates for consistency with a standard table or a set of graduated estimates and describe the process of graduation.
  • Derive the maximum likelihood estimator for the parameter of Binomial and Poisson models and describe how to estimate transition intensities depending on age, exactly or using the census approximation.

Final Exam

Assessment Type 1: Examination
Indicative Time on Task 2: 28 hours
Due: University Exam Period
Weighting: 60%

The final examination will be a three-hour written paper with ten minutes reading time, to be held during the University Examination period.


On successful completion you will be able to:
  • Describe and communicate effectively the principles of actuarial modelling and apply them to common actuarial problems both individually and in a team environment.
  • Model and critically analyse scenarios involving financial risks for various types of financial institutions and compare ways of managing these risks.
  • Discuss the concept of the Actuarial Control Cycle and apply it to solve a variety of practical business problems involving financial and actuarial risks.
  • Describe how to test crude estimates for consistency with a standard table or a set of graduated estimates and describe the process of graduation.
  • Derive the maximum likelihood estimator for the parameter of Binomial and Poisson models and describe how to estimate transition intensities depending on age, exactly or using the census approximation.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Writing Centre for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

The timetables for classes can be found on the University website at:

https://timetables.mq.edu.au/2020/

Tutorials will commence in Week 2 of the session.

Lecture handouts are available for download from the website in advance of lecture classes. 

You will be required to use the teaching website, Word, PDF, R, and Excel.

Course materials are available on iLearn. To access the website, go to http://ilearn.mq.edu.au and log in using your usual login and password.

Unit Schedule

Week   Topic

1   Exposed to Risk

2   Exposed to Risk

3   Exposed to Risk 

4   Exposed to Risk

5   Statistical Tests

6   Graduation

7   Class Test

8   Control Cycle   

9   Control Cycle

10   Control Cycle

11   Control Cycle

12   Control Cycle 

13   Revision

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/student-conduct​

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Supplementary exams

Information regarding supplementary exams, including dates, is available at: http://www.businessandeconomics.mq.edu.au/current_students/undergraduate/how_do_i/disruption_to_studies

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.