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STATISTICS FOR BUSINESS AND FINANCE
BUS5SBF
2017
Credit points: 15
Subject outline
In this subject you will develop basic quantitative skills to analyse real life problems in accounting, business and finance. You will focus on volatility measure of portfolio risk return distributions, basic concepts of probability and statistics, methods of statistical inference, measure of linear relationship between various business and finance variables including regression analysis. There is a strong emphasis on the application of these techniques to real world problems in business and finance using MS-Excel. This subject lays a solid foundation to the further study of quantitative analysis in business and finance. The contents of the subject are in line with 'Chartered Financial Analyst - CFA' quantitative analysis curriculum and hence follows CFA textbook.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorIshaq Bhatti
Available to Study Abroad StudentsYes
Subject year levelYear Level 5 - Masters
Exchange StudentsYes
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjects FIN5SBF
Equivalent subjects FIN5SBF
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Quantitive investment analysis | Prescribed | DeFusco, R, McLeavy,D., Pinto, J., Runkle,D. (2015) | 3rd. EDN. JOHN WILEY |
| Readings | Quantitative investment analysis workbook | Preliminary | DeFusco, R, McLeavy,D., Pinto, J., Runkle,D. (2015) | 3rd EDN, JOHN WILEY |
Graduate capabilities & intended learning outcomes
01. Apply and interpret concepts of descriptive statistics to real life data and interpretation of results
- Activities:
- Activities on cash flow topics with linkage to Statistical methodology
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
02. Apply probability theory in business and financial decision making
- Activities:
- Based on subject material, weekly computer labs are conducted to impliment statistical computations using SPSS software or Excel
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
03. Use sampling methods to estimate and infer accounting, economics and financial models using data
- Activities:
- Assignment 1, computational work, research question and solution to enable critical thinking and report writing
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Develop competency in estimating linear regression models and testing hypothesis
- Activities:
- Assignment 2, computational work, interpretation of statistical results and report writing related to regression and hypothesis testing
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Develop ability to present work in a professional manner
- Activities:
- Presentation and interpretation of statistical results and report writing related to Multiple regression models related to return and CAPM Models
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
Select to view your study options…
City Campus, 2017, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer LaboratoryWeek: 10 - 22
One 1.0 hours computer laboratory per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"This class is strongly recommended, but optional"
SeminarWeek: 11 - 22
One 2.0 hours seminar per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |
City Campus, 2017, Semester 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer LaboratoryWeek: 32 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.
"This class is strongly recommended, but optional"
SeminarWeek: 31 - 43
One 2.0 hours seminar per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |
City Campus, 2017, Summer, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer LaboratoryWeek: 46
One 1.0 hours computer laboratory per week on weekdays during the day in week 46 and delivered via face-to-face.
"This class is strongly recommended, but optional"
LectureWeek: 46
One 2.0 hours lecture per week on weekdays during the day in week 46 and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |
Melbourne, 2017, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer LaboratoryWeek: 11 - 22
One 1.0 hours computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
"This class is strongly recommended, but optional"
LectureWeek: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |
Melbourne, 2017, Summer, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer LaboratoryWeek: 46
One 1.0 hours computer laboratory per week on weekdays during the day in week 46 and delivered via face-to-face.
"This class is strongly recommended, but optional"
LectureWeek: 46
One 2.0 hours lecture per week on weekdays during the day in week 46 and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |
Melbourne, 2017, Semester 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer LaboratoryWeek: 32 - 43
One 1.0 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.
"This class is strongly recommended, but optional"
LectureWeek: 31 - 43
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |
Online, 2017, Online StudyPeriod 2, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Unscheduled Online ClassWeek: 10 - 16
One 6.0 hours unscheduled online class per week on any day including weekend from week 10 to week 16 and delivered via online.
"This subject is delivered entirely online. Students are required to undertake online learning and assessment activities."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 030 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 030 | 03, 04, 05 |
| Quiz 1 | equivalent to 375-words. Week 3. Quiz is 50% of the blended version. | 010 | 01, 02 |
| Quiz 2 | equivalent to 375-words. Week 5. Quiz is 50% of the blended version. | 010 | 03, 04, 05 |
| Quiz 3 | equivalent to 750-words. Week 7 | 020 | 03, 04, 05 |
Online, 2017, Online StudyPeriod 4, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Unscheduled Online ClassWeek: 28 - 34
One 6.0 hours unscheduled online class per week on any day including weekend from week 28 to week 34 and delivered via online.
"This subject is delivered entirely online. Students are required to undertake online learning and assessment activities."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 030 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 030 | 03, 04, 05 |
| Quiz 1 | equivalent to 375-words. Week 3. Quiz is 50% of the blended version. | 010 | 01, 02 |
| Quiz 2 | equivalent to 375-words. Week 5. Quiz is 50% of the blended version. | 010 | 03, 04, 05 |
| Quiz 3 | equivalent to 750-words. Week 7. | 020 | 03, 04, 05 |
Online, 2017, Online StudyPeriod 6, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Unscheduled Online ClassWeek: 44 - 50
One 6.0 hours unscheduled online class per week on any day including weekend from week 44 to week 50 and delivered via online.
"This subject is delivered entirely online. Students are required to undertake online learning and assessment activities."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment & Presentation | equivalent to 1500 words. Week 3. | 030 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models & Presentation | equivalent to 1500 words. Week 6 | 030 | 03, 04, 05 |
| Quiz 1 | equivalent to 375-words. Week 3. Quiz is 50% of the blended version. | 010 | 01, 02 |
| Quiz 2 | equivalent to 375-words. Week 5. Quiz is 50% of the blended version. | 010 | 03, 04, 05 |
| Quiz 3 | equivalent to 750-words. Week 7 | 020 | 03, 04, 05 |
Sydney, 2017, Study Period 3, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer Laboratory
One 1.0 hours computer laboratory per week on weekdays during the day and delivered via face-to-face.
"This class is strongly recommended, but optional"
Lecture
One 2.0 hours lecture per week on weekdays during the day and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |
Sydney, 2017, Study Period 2, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer LaboratoryWeek: 31 - 42
One 1.0 hours computer laboratory per week on weekdays during the day from week 31 to week 42 and delivered via face-to-face.
"This class is strongly recommended, but optional"
LectureWeek: 31 - 42
One 2.0 hours lecture per week on weekdays during the day from week 31 to week 42 and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |
Sydney, 2017, Study Period 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorIshaq Bhatti
Class requirements
Computer LaboratoryWeek: 10 - 22
One 1.0 hours computer laboratory per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"This class is strongly recommended, but optional"
LectureWeek: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"In addition, students are expected to undertake between 1 h and 3 h of online learning and assessment activities each week prior to class."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Assignment 1: Computer-assisted assignment | equivalent to 1500 words | 30 | 01, 02, 03 |
| Assignment 2: Computer-assisted assignment using regression models | equivalent to 1500 words | 30 | 03, 04, 05 |
| Quiz 1 | equivalent to 750-words. Week 5. | 20 | 01, 02 |
| Quiz 2 | equivalent to 750-words. Week 11. | 20 | 03, 04, 05 |