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Financial Analytics in R

The course will focus on developing statistical models and using simulations to better understand financial data using R, one of the most popular free computer software environments. Upon a successful completion of the course, students will be aware of major financial models related to investments and corporate finance and will be able to write simple code in R to implement the models in real-world scenarios as well as to visualize and analyze financial data.

Find full course description in the course catalogue.    

Exam

The grade for the course consists of two parts:

  • Coursework counting app. 40 %
  • 3-hour written exam counting app. 60 %

 

The written exam is online and presence in Aarhus is not nescessary.

Academic prerequisites

Course specific:

A Bachelor's degree in Economics and Business Administration or a related degree.  

General:

Exchange Students: nomination from your home university

Freemovers: documentation for English Language proficiency

You can read more about the admission here.

Lecturer

Yuriy Zabolotnyuk

yuriy.zabolotnyuk@carleton.ca  

Academic profile

 

Yuriy Zabolotnyuk is Assistant Professor in Finance at Sprott School of Business, Canada. His research interests include fixed income securities, derivatives, portfolio management, corporate finance, and managerial economics.