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FINC406 Advanced Empirical Finance

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Provides an understanding of the methodology and techniques used in empirical research, enabling students to do independent research. Analysis and criticism of current empirical literature.

The aim of the course is to acquaint the students with applying financial econometrics for empirical research in finance. Econometrics helps us to empirically test theories; understand relationships between variables that are of interest for businesses and financial institutions. Major topics covered in this course include regression analysis, time series modelling, unit root analysis, cointegration and error correction models, vector autoregression (VAR), volatility modelling with ARCH/GARCH, simultaneous equation model, Logit/Probit models, and modelling with panel data. The statistical package STATA will be used intensively in the course and the students are expected to use STATA on their own in analysing the data. An introductory lecture on STATA software will be given at the beginning of the course to teach the basics and other procedures will be introduced during the lectures.

Paper title Advanced Empirical Finance
Paper code FINC406
Subject Finance
EFTS 0.1667
Points 20 points
Teaching period First Semester
Domestic Tuition Fees (NZD) $1,101.55
International Tuition Fees (NZD) $5,026.17

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Recommended Preparation
FINC 308 and two further 300-level FINC papers
Contact
accountancyfinance@otago.ac.nz
Teaching staff

Dr Duminda Kuruppuarachchi

Paper Structure

The paper covers Financial Econometrics with applications using STATA software.

Teaching Arrangements

Lectures and computer labs

Textbooks

Principles of econometrics by R. Carter Hill; William E. Griffiths; G. C. Lim , 5th ed. Hoboken, NJ : Wiley 2018.

Course outline
View the course outline for FINC 406
Graduate Attributes Emphasised
Communication, Critical thinking, Research, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete the paper will:

  • Understand the types and forms of data and how to use them in an econometric analysis.
  • Identify the sources of financial data (Bloomberg, Capital IQ, Compustat, etc.) that can be used to extract the necessary data for an econometric analysis.
  • Demonstrate the knowledge on econometric techniques such as regression analysis, univariate and multivariate time series analysis, and panel data analysis.
  • Apply appropriate econometric techniques in solving financial problems that arise in real life and research using the STATA software.
  • Demonstrate the ability to report, interpret and present the results obtained from a statistical analysis.

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Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Lecture

Stream Days Times Weeks
Attend
A1 Tuesday 09:00-10:50 9-12, 19-22
Friday 10:00-11:50 9-12, 18-22

Provides an understanding of the methodology and techniques used in empirical research, enabling students to do independent research. Analysis and criticism of current empirical literature.

The aim of the course is to acquaint the students with applying financial econometrics for empirical research in finance. Econometrics helps us to empirically test theories; understand relationships between variables that are of interest for businesses and financial institutions. Major topics covered in this course include regression analysis, time series modelling, unit root analysis, cointegration and error correction models, vector autoregression (VAR), volatility modelling with ARCH/GARCH, simultaneous equation model, Logit/Probit models, and modelling with panel data. The statistical package STATA will be used intensively in the course and the students are expected to use STATA on their own in analysing the data. An introductory lecture on STATA software will be given at the beginning of the course to teach the basics and other procedures will be introduced during the lectures.

Paper title Advanced Financial Econometrics
Paper code FINC406
Subject Finance
EFTS 0.1667
Points 20 points
Teaching period First Semester
Domestic Tuition Fees Tuition Fees for 2021 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

^ Top of page

Recommended Preparation
FINC 308 and two further 300-level FINC papers
Contact
accountancyfinance@otago.ac.nz
Teaching staff

Dr Duminda Kuruppuarachchi

Paper Structure

The paper covers Financial Econometrics with applications using STATA software.

Teaching Arrangements

Lectures and computer labs

Textbooks

Principles of econometrics by R. Carter Hill; William E. Griffiths; G. C. Lim , 5th ed. Hoboken, NJ : Wiley 2018.

Course outline
View the course outline for FINC 406
Graduate Attributes Emphasised
Communication, Critical thinking, Research, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes

Students who successfully complete the paper will:

  • Understand the types and forms of data and how to use them in an econometric analysis.
  • Identify the sources of financial data (Bloomberg, Capital IQ, Compustat, etc.) that can be used to extract the necessary data for an econometric analysis.
  • Demonstrate the knowledge on econometric techniques such as regression analysis, univariate and multivariate time series analysis, and panel data analysis.
  • Apply appropriate econometric techniques in solving financial problems that arise in real life and research using the STATA software.
  • Demonstrate the ability to report, interpret and present the results obtained from a statistical analysis.

^ Top of page

Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Lecture

Stream Days Times Weeks
Attend
A1 Tuesday 09:00-10:50 9-13, 15-22
Friday 10:00-11:50 9-12, 15-22