The article shows that using Taylor rules with Time-Varying Parameters can help predict exchange rates, especially after the Global Financial Crisis. By allowing these parameters to change over time and vary between countries, the accuracy of exchange rate forecasts can be significantly improved. The study found that this approach outperformed the random walk method for most of the currencies analyzed during the crisis period.