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. For more information, please refer to the subject outline. For Study Period 3 2023 onwards, please refer to the subject outline here.
Learning outcomes Subject content Duration Assessment Prerequisites Assumed knowledge Course transition subject equivalence Reading list Learning outcomes On successful completion of this subject you 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. Subject content TopicTitle Topic 1Fundamentals of quantitative applications Topic 2Probability distributions Topic 3Sampling and estimation Topic 4Hypothesis testing Topic 5Correlation, covariance and causation Topic 6Regression Topic 7Time-series analysis Topic 8Risk and return Topic 9Asset pricing models Topic 10Optimisation and portfolio construction Duration The duration of this subject is one study period (12 weeks). Assessment Assessment TypeAssessedWeighting TaskWeek 420% ExaminationWeek 640% AssignmentWeek 1240% For Study Period 3 2023 onwards Assessment TypeAssessedWeighting TaskWeek 420% Assignment 1Week 730% QuizWeek 1010% Assignment 2Week 1240% Click here for an assessment timetable. 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 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.
Learn more about Master of Applied Finance, Graduate Diploma of Applied Finance or Graduate Certificate in Applied Finance >
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. For more information, please refer to the subject outline. For Study Period 3 2023 onwards, please refer to the subject outline here.
Learning outcomes Subject content Duration Assessment Prerequisites Assumed knowledge Course transition subject equivalence Reading list Learning outcomes On successful completion of this subject you 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. Subject content TopicTitle Topic 1Fundamentals of quantitative applications Topic 2Probability distributions Topic 3Sampling and estimation Topic 4Hypothesis testing Topic 5Correlation, covariance and causation Topic 6Regression Topic 7Time-series analysis Topic 8Risk and return Topic 9Asset pricing models Topic 10Optimisation and portfolio construction Duration The duration of this subject is one study period (12 weeks). Assessment Assessment TypeAssessedWeighting TaskWeek 420% ExaminationWeek 640% AssignmentWeek 1240% For Study Period 3 2023 onwards Assessment TypeAssessedWeighting TaskWeek 420% Assignment 1Week 730% QuizWeek 1010% Assignment 2Week 1240% Click here for an assessment timetable. 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 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.
Learn more about Master of Applied Finance, Graduate Diploma of Applied Finance or Graduate Certificate in Applied Finance >
