There are 6 properties that empirical correlation matrices exhibit that no synthetic generation method has been able to replicate, until now.

Enabling researchers to backtest strategies on an abundance of data would make our algorithms and strategies more robust, accurate, and efficient. Since historical data can be biased and does not have enough high-stress events to test multiple scenarios, generating synthetic data is a practical way to overcome this problem. However, generating data that is realistic is not an easy task.