Fall 2019 - ECON 818 G100

Advanced Topics in Finance (4)

Class Number: 8266

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 3 – Dec 2, 2019: Tue, 10:30 a.m.–12:20 p.m.
    Burnaby

    Sep 3 – Dec 2, 2019: Thu, 10:30–11:20 a.m.
    Burnaby

  • Instructor:

    Bertille Antoine
    baa7@sfu.ca
    1 778 782-4514
  • Prerequisites:

    ECON 815.

Description

CALENDAR DESCRIPTION:

Advanced topics in finance with a focus on derivative securities. Offered once every other year.

COURSE DETAILS:

Economic forecasting is a key ingredient of decision making both in the public and in the private sector. We introduce econometric and statistical methods and models to forecast future expected economic conditions and predict specific indicators of interest (such as income growth, inflation, interest rates…). Specifically, we focus on:
(i)  Forecasting with the linear regression model;
(ii)  Forecasting with time series models;
(iii) Models for large datasets.  

This is an applied time series forecasting course that focuses on:         

  • understanding the implications of the abovementioned methods and models for economic and financial interpretation;
  • practical implementation and use of these methods and models for data analysis using appropriate computer program;
  • without providing all their theoretical foundations and justifications.
Prerequisite: Undergraduate econometrics course; some basic data analysis and programming skills. [**Please note: while the calendar lists ECON 815 as a prereq, ECON 815 is NOT REQUIRED for enrollment in 818].

Grading

  • In-class participation and homework assignments 25%
  • Two in-class exams 30%
  • One empirical project 45%

Materials

REQUIRED READING:

Applied Economic Forecasting using Time Series Methods. Eric Ghysels and Massimiliano Marcellino, Oxford University Press, 2018.

RECOMMENDED READING:

Introductory Econometrics for Finance, 4th edition. Chris Brooks, Cambridge University Press, 2019.

Econometric Modelling with Time Series: Specification, Estimation and Testing. Martin, Hurn & Harris. Cambridge University Press, 2012.

Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

Registrar Notes:

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS