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13618 (v.3) Financial Econometrics 575


 

Area:

School of Economics and Finance

Credits:

50.0

Contact Hours:

3.0

Lecture:

1 x 3 Hours Weekly

Syllabus:

Financial econometric methods and models based mainly on times series data. Stationery time series models. Modelling trends and volatility. ARCH/GARCH models. Muti-equation and VAR models. Cointegration and error corretion models. Use of statistical packages such as RATS and/or SAS.
 

Unit Outcomes:

On completion of this unit students will have. A sound understanding of the general principles of finance. A reasonable knowledge of statistics and econometrics. A sound knowledge of some important areas in times series econometrics very frequently applied in the study of finance, and particularly in financial modelling. A sound understanding of a number of important times series models and the applications of those modelling techniques in finance. Ability to read and understand the advanced finance literature which frequently employs these methods and techniques. Gathered hands on experience with programming time series models with the RATS (Regression Analysis of Time Series) econometric package using real world financial data. Equiped students with some useful tools for carrying out their research theses later. Discussed common issues encountered in the application of cross sectional regression models in finance.

Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases.

Unit References:

Watsham T. and Parramore K., (1997), Quantitative Methods in Finance, International Thomson Business Press. Granger C. and Newbold P., (****), Forecasting Economic Time Series, 2nd ed, Academic Press. Campbell, Lo and Mackinlay, (1996) Econometrics of Financial Markets, Princeton University Press.

Unit Texts:

Enders W., (1995), Applied Times Series Econometrics, Wiley Publishers.
 

Unit Assessment Breakdown:

Class participation 5%, Computer lab assignment(s) 15 %, Examination 40 %, Test 40 %. This is by grade/mark asssessment.

Field of Education:

 91903 Econometrics

HECS Band (if applicable):

2  

Extent to which this unit or thesis utilises online information:

 Not Online  

Result Type:

 Grade/Mark


Availability

YearLocationPeriodInternalArea ExternalCentral External
2004Bentley CampusSemester 1Y  

Area
External
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central
External
refers to external course/units run through the Curtin Bentley-based Distance Education Area

 
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