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ECON 763 Financial Econometrics (3 credits)

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Note: This is the 2019–2020 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

Offered by: Economics (Faculty of Arts)

Administered by: Graduate Studies

Overview

Economics (Arts) : This course covers advanced time series methods used in the analysis of financial data and other potentially non-stationary time series. Topics: integrated time series, co-integration, unit root testing, conditional heteroscedasticity, long memory, non-parametric and neural network models. Applications include market efficiency, stochastic volatility and predictability of asset returns.

Terms: This course is not scheduled for the 2019-2020 academic year.

Instructors: There are no professors associated with this course for the 2019-2020 academic year.

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