The article presents new methods for calibrating models that predict how exchange rates change over time. These models consider factors like interest rates and volatility. The researchers developed algorithms for three different types of models and tested their accuracy. They found that these models can accurately predict exchange rate movements based on input data like option prices and interest rate parameters.