The article discusses how computational tools are used to analyze market risk. These tools help regulators and financial institutions better estimate and manage risks in their portfolios. The researchers developed MatRisk, a software that calculates various risk measures beyond the traditional Value at Risk (VaR). These new measures, like Shortfall and MaxVaR, provide a more accurate understanding of risk. MatRisk can also handle non-normal distributions and extreme events, improving the modeling of portfolio returns. By incorporating time analysis models like ARCH and GARCH, MatRisk can estimate conditional risk based on the probability distribution of returns.