Analysis of the risk characteristics of the Chinese capital market with clustering, minimum spanning tree, and other machine learning methods.
We tried to group industries according to the simultaneously volatile risks on the stock and bond markets, tried to find the core industries of the risk linkage network, and make a forecast. Methods used include: several types of clustering, minimum spanning tree, and machine learning.
I'm Guanting Li, the TA of Professor Härdle's class in Fudan University. Professor wants me to upload some projects from the students in his class.