Data Recovery

It appears you may have used Coursicle on this device and then cleared your cookies. You can recover your data by answering these questions.

User ID:

Your account no longer exists

Your user ID no longer exists. Please refresh the page. If the issue persists, please contact us at support@coursicle.com.

Dismiss

QSTMF 793 - Statistics for Mathematical Finance

Description
This course covers the fundamental principles of statistics and econometrics. It is mandatory for all tracks of the MSc. program. The course first reviews the needed concepts in probabilities, properties of random variables, the classic distributions encountered in Finance. Then, we cover the principles of random sampling, properties of estimators, e.g., the standard moment estimators (sample mean, variance, etc..). The next major topic is the regression analysis. We study the OLS and GLS principles, review their properties, in the standard case and when ideal assumptions are not correct. The course ends with a study of time series ARMA models and volatility models such as GARCH and Risk-Metrics. The course makes intensive use of the R package. (Mathematical Finance courses are reserved for students enrolled in the Mathematical Finance program.)
Credits
3
Recent Professors
Open Seat Checker
Schedule Planner
Recent Semesters
Fall 2021, Fall 2020, Fall 2019
Offered
M
Avg. Sections
2