Course Title: Financial Econometrics

Part A: Course Overview

Course Title: Financial Econometrics

Credit Points: 12.00

Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
ECON1195	City Campus	Postgraduate	625H Economics, Finance and Marketing	Face-to-Face	Sem 1 2006, Sem 2 2006, Spring2006, Sem 1 2007, Sem 2 2007, Spring2007, Sem 1 2008, Sem 2 2008, Spring2008, Sem 1 2009, Sem 2 2009, Spring2009, Sem 1 2010, Sem 2 2010, Spring2010, Sem 1 2011, Sem 2 2011, Spring2011, Sem 1 2012, Sem 2 2012, Sem 2 2016, Sem 1 2021, Sem 2 2021, Sem 1 2022, Sem 2 2022, Sem 1 2023, Sem 2 2023, Sem 1 2024, Sem 2 2024
ECON1196	Malaysia Institute of Managemt	Postgraduate	625H Economics, Finance and Marketing	Face-to-Face	Offsh 2 08, Offsh 2 09
ECON1197	Singapore Inst of Management	Postgraduate	625H Economics, Finance and Marketing	Face-to-Face	Offsh 2 07, Offsh 2 08, Offsh 2 09, Offsh 2 10, Offsh 2 11, Offsh2 12

Course Coordinator: Dr Yonatan Navon

Course Coordinator Phone: 99257235

Course Coordinator Email: yonatan.navon@rmit.edu.au

Course Coordinator Location: City Campus Melbourne

Course Coordinator Availability: By appointment via email

Pre-requisite Courses and Assumed Knowledge and Capabilities

Required Prior Study
005014 - Quantitative Methods in Finance or 055288 - Quantitative Financial Methods and Modelling.

 

Course Description

This course assesses and appraises the current research issues in analysing financial data by using econometric methods. It provides you with the knowledge and skills in the theoretical and empirical study of financial data. This course evaluates how econometric methods can be applied to financial data to solve problems arising in financial markets. You will apply econometric modelling in univariate and multivariate time series financial data, analyse and forecast the financial returns and volatilities, and measure the potential financial loss in portfolios.

Objectives/Learning Outcomes/Capability Development

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CLO1: Appraise the current research issues in the dynamics of financial markets.
CLO2: Estimate autoregressive models and estimate volatility models using econometric software.
CLO3: Forecast financial returns and volatilities using econometric software.
CLO4: Measure and interpret value at risk of financial portfolios.

Overview of Learning Activities

In this course you will be encouraged to be an active learner. Your learning will be supported through various in-class and online activities comprising individual and group work. These may include assignments; prescribed readings; sourcing, researching and analysing specific information; solving problems; producing written work and collaborating with peers on set research tasks or projects.

Overview of Learning Resources

Various learning resources are available online throughMyRMIT Studies\Canvas. The lecture notes and workshop notes are posted on Canvas.

Resources are also available online through RMIT Library databases and other facilities. Visit the RMIT library website for further details. Assistance is available online via our chat and email services, face to face at our campus libraries or via the telephone on (03) 9925 2020.

Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.

Overview of Assessment

The assessment alignment list below shows the assessment tasks against the learning outcomes they develop.

Assessment Task 1: 25%
Linked CLOs: 1, 2

Assessment Task 2: 25% 
Linked CLOs: 3, 4

Assessment Task 3: 50%
Linked CLOs: 1, 2, 3, 4

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.