A K-means Algorithm for Financial Market Risk Forecasting

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The K-means algorithm for risk prediction could be valuable in developing trading strategies that account for market risks, particularly in credit markets or for assessing counterparty risks.

K-means is a relatively simple algorithm to implement, but integrating it into a comprehensive risk prediction system for financial markets may require more complex data preprocessing and model evaluation steps.

The paper provides some details on the experimental setup and datasets used, but full reproducibility information is not provided.