This study examines whether different patterns of change to the benchmark interest rates of central banks are associated with their contributions to variances in the forecast errors of three financial market variables: the long-term interest rate, the foreign exchange rate, and the stock market index. On average, the central bank’s interest rate accounts for approximately 20% of the variance in each variable. We find that the total range of changes is more important than the frequency of changes. The panel regression shows that the range and frequency of policy rate changes is positively associated with the volatility of long-term interest rates but no association with the volatilities of stock prices and exchange rates. These results suggest that small and frequent adjustments of policy rates are desirable for reducing the volatility of interest rates.