Financial Anomaly Detection for the Canadian Market
This work tested three methods—Topological Data Analysis (TDA), Principal Component Analysis (PCA), and Neural Networks—to find financial stress events in the Canadian stock market using TSX-60 data from 2005 to 2021. The results showed that neural network-based methods and TDA were the most effective, suggesting that global structural properties are crucial for identifying significant market stress.