An extended model for predicting volatility in finance markets was developed, focusing on asymmetry and leverage. A new method for estimating these models using mutual information was explored, revealing a link between statistical dependence and maximum likelihood. Different statistical approaches were suggested for implementing the models in high-dimensional systems. Empirical research using global stock returns showed the effectiveness of the model and estimation method.