Quantitative Methods In Finance
PostgraduateRMI-MFIN10952020
Course information for 2020 intake
Step into the world of finances, statistics and graphs.Experiment with the mathematical capabilities of Microsoft Excel. Interpret its output and consider how these techniques could be relevant in business. Address probability and linear regression.
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Part of a degree
- Duration
- 14 weeks
- Loan available
- FEE-HELP available
Quantitative Methods In Finance
About this subject
On successful completion of this subject you will be able to:
- CLO1: Use various mathematical and statistical procedures to analyse financial data
- CLO2: Draw analytical conclusions from financial data using descriptive statistics, hypotheses testing and inference, correlation analysis and regression
- CLO3: Use relationships between variables to forecast their future value to inform strategic decisions
- CLO4: Communicate quantitative findings to decision makers, stakeholders and the general public.
- Mathematical Concepts (revision)
- Basic Probability
- Probability Distributions
- Sampling Distributions and Estimation
- Statistical Inference and Hypothesis Testing
- Correlation Analysis and Regression
- Time Series Analysis
- Finance Applications
This subject introduces mathematical and statistical techniques used in the finance industry. These techniques will be applied to problems that are relevant in accounting, economics, finance and financial planning, with a specific focus on the quantitative methods body of knowledge recommended by Chartered Financial Analyst (CFA).
- Assignment 1 - Linked CLOs: 1, 2 (25%)
- Assignment 2 - Linked CLOs: 3, 4 (25%)
- Invigilated Exam - Linked CLOs: 1, 2, 3, 4 (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
To enrol in this subject, you must be admitted into a degree.
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
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