Chapter 9 Decision Trees and support Vector Machines: An Application in International Finance

Description

This session covers basic classification approaches, such as decision trees and support vector machines (SVMs), and the challenges of using these highly flexible methods.

Concepts discussed :

• 1 international finance

• 2 classification errors

• 3 tree growth and pruning

• 4 cross-validation

Pre-Session Activities/Resources

• Moyer, Brian, and Abe Dunn. 2020. “Measuring the Gross Domestic Product (GDP): The Ultimate Data Science Project.” Harvard Data Science Review 2 (1). https://doi.org/10.1162/99608f92.414caadb.

Session Activities/Resources

• Warin, Thierry, and William Sanger. 2018a. “Connectivity and Closeness Among International Financial Institutions: A Network Theory Perspective.” International Journal of Comparative Management 1 (3): 225-54. https://doi.org/10.1504/IJCM.2018.094479.

Post-Session Activities/Resources

General Resources