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Subject overview


STUDY MODE

100% online

AQF LEVEL

8

NEXT INTAKE

13 Jan 2025

SUBJECT DURATION

12 weeks

SUBJECT FEE

$2,600.00


This subject focuses on the underpinning quantitative concepts and techniques required in today’s financial markets to interpret and forecast financial data. This firstly includes discussion of fundamental statistical concepts with specific reference to their financial application, and then explores hypothesis testing, linear regression and time-series analysis. It utilises these quantitative tools to assess elements in finance such as risk and return, asset pricing and portfolio construction.

Using the key data analysis and modelling techniques covered, students interpret various types of financial information, including economic, business and investment performance data, in order to develop practical quantitative strategies that may be applied in industry. Students also read and critique articles in financial journals, including validating methodologies and conclusions.

Master of Applied Finance >

Graduate Diploma of Applied Finance >

Graduate Certificate in Applied Finance>

Subject information

Learning Outcomes

At the completion of this subject, individuals should be able to:

  • Examine and apply the various quantitative techniques used to describe, estimate and evaluate data and interpret the results
  • Conduct independent research and evaluate the strengths and limitations of statistical analysis techniques in finance
  • Apply quantitative techniques to describe financial data and test claims of performance
  • Analyse the factors that influence the risk and return of asset classes and financial securities
  • Assess and interpret the results from statistical models used in estimating the value of financial assets and constructing efficient portfolios
  • Apply spreadsheet applications to perform statistical analysis.

 

Topics covered

  1. Fundamentals of quantitative applications
  2. Probability distributions
  3. Sampling and estimation
  4. Hypothesis testing
  5. Correlation, covariance and causation
  6. Regression
  7. Time-series analysis
  8. Risk and return
  9. Asset pricing models
  10. Optimisation and portfolio construction

 

Reading list

Prescribed text

There is no prescribed text for this subject. Individuals are provided with key readings and access to Kaplan Professional’s online databases. Individuals are encouraged to research and read widely on the topic.

Reading list

Assessments

Assessment TypeAssessedWeighting
TaskWeek 420%
Assignment 1Week 730%
QuizWeek 1010%
Assignment 2Week 1240%

Previous study requirements

Duration

The duration of this subject is one study period (12 weeks).

Prerequisites

There are no prerequisites for this subject. However, individuals should review the ‘Assumed Knowledge’ tab to understand the prior knowledge Kaplan advises they should hold before enrolling in this subject.

Assumed knowledge

Whilst there are no prerequisites for this subject, Kaplan assumes that individuals have completed FIN101 Financial Markets and Economic Principles, FIN102 Regulation Ethics and Risk Management, and FIN103 Financial Analysis and Valuation, or understand the content covered in those subjects, prior to undertaking FIN201 Quantitative Applications in Finance.

Course transition subject equivalence

Individuals may not be required to complete this subject if they have transitioned from a SIA/Finsia/Kaplan course and have completed the following subjects:

  • FIN236 Quantitative Applications in Finance
  • M01 Quantitative Applications in Finance

Key dates

Study Period 6 2024

30 Sep 2024 - 17 Jan 2025

❌ Enrolments now closed

Early access opens 30 September 2024

Early access to assessments 14 October 2024

Study period commences 28 October 2024

Enrolments close/census 13 November 2024

Study period ends 17 January 2025

Assessment dates See assessment information

Study Period 1 2025

16 Dec 2024 - 4 Apr 2025

✓ Enrolments open now

Early access opens 16 December 2024

Early access to assessments 30 December 2024

Study period commences 13 January 2025

Enrolments close/census 29 January 2025

Study period ends 4 April 2025

Assessment dates See assessment information

Study Period 2 2025

10 Feb 2025 - 30 May 2025

✓ Enrolments open now

Early access opens 10 February 2025

Early access to assessments 24 February 2025

Study period commences 10 March 2025

Enrolments close/census 26 March 2025

Study period ends 30 May 2025

Assessment dates See assessment information

Study Period 3 2025

7 Apr 2025 - 25 Jul 2025

✓ Enrolments open now

Early access opens 7 April 2025

Early access to assessments 21 April 2025

Study period commences 5 May 2025

Enrolments close/census 21 May 2025

Study period ends 25 July 2025

Assessment dates See assessment information

Study Period 4 2025

2 Jun 2025 - 19 Sep 2025

✓ Enrolments open now

Early access opens 2 June 2025

Early access to assessments 16 June 2025

Study period commences 30 June 2025

Enrolments close/census 16 July 2025

Study period ends 19 September 2025

Assessment dates See assessment information

Study Period 5 2025

25 Aug 2025 - 14 Nov 2025

✓ Enrolments open now

Early access opens 28 July 2025

Early access to assessments 11 August 2025

Study period commences 25 August 2025

Enrolments close/census 10 September 2025

Study period ends 14 November 2025

Assessment dates See assessment information

Study Period 6 2025

27 Oct 2025 - 16 Jan 2026

✓ Enrolments open now

Early access opens 29 September 2025

Early access to assessments 13 October 2025

Study period commences 27 October 2025

Enrolments close/census 12 November 2025

Study period ends 16 January 2026

Assessment dates See assessment information

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