MAF759 - Financial Data Analytics

Unit details

Note: You are seeing the 2022 view of this unit information. These details may no longer be current. [Go to the current version]
Year:

2022 unit information

Enrolment modes:

Trimester 1: Burwood (Melbourne), Cloud (online)
Trimester 3: Burwood (Melbourne), Cloud (online)

Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Ruipeng Liu
Trimester 3: Vincent Xiang
Cohort rule:

Must be enrolled in courses M530, M630, M660, M720, M730, M740, M750, M755, M760, M770, M794, D707, D709 or D712

Previously:Analytical Methods
Prerequisite:

Nil

Corequisite:Nil
Incompatible with: MAF904
Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

1 x 3 hour seminar per week

Scheduled learning activities - cloud:

Online independent and collaborative learning activities including 3 scheduled online seminars

From T2 2022:
Online independent and collaborative learning activities including 1 x 1 hour weekly scheduled online seminar 

Content

This unit will enable students to understand the basic and more advanced mathematics and statistics involved in the finance world. It introduces financial mathematical concepts which underpin the financial decision making process. In addition the unit covers financial markets, portfolio management and econometric methods.

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes
ULO1

Explain and apply commonly used mathematical and statistical concepts and techniques to analyse financial data (including regression analysis and time series models)

GLO1: Discipline-specific
knowledge and capabilities

ULO2

Apply econometric techniques on empirical data to test hypotheses in finance theory (such as the capital asset pricing model, the efficient markets hypothesis)

GLO1: Discipline-specific
knowledge and capabilities

ULO3

Evaluate suitability of various valuation techniques involved in risk measurement; portfolio simulation and optimisation; and capital budgeting and management

GLO1: Discipline-specific
knowledge and capabilities
GLO5: Problem solving

ULO4

Interpret and evaluate the results obtained from using econometric techniques on empirical data

GLO4: Critical thinking

These Unit Learning Outcomes are applicable for all teaching periods throughout the year

Assessment

Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week
Assessment 1: (Individual) Multiple Choice Quiz (Online)

20 minutes 

10% Weeks 4 & 5
Assessment 2: (Individual) Problem Based Written Assignment (Quantitative)

No word limit

30% Week 9
Examination (Closed Book) 2 hours 60% Exam period

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Hurdle requirement

Hurdle requirement: achieve at least 50% of the marks available on the examination

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MAF759 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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