The article discusses how financial models can be risky due to uncertainties in estimating parameters and selecting the right model. The researchers focused on key models in finance like option pricing and credit risk management. They suggest using Bayesian methods to account for parameter uncertainty and model selection risk. By considering the range of possible parameter values, users can make more informed decisions about financial activities. This approach helps to improve the accuracy and reliability of financial models.