-of-sample forecasting and in predicting the most recent crises, a weakness of EWS in general. We also build EWS for low income countries …

Financial crises pose unique challenges for forecast accuracy. Using the IMF's Monitoring of Fund Arrangement (MONA … informational value as they consistently outperform naive forecast approaches. However, we also document that there is room for … improvement: two thirds of the key macroeconomic variables that we examine are forecast inefficiently and 6 variables (growth of …

predictability, consistent with the lack of systematic improvement in out-of-sample forecasting performance relative to a random walk … have better medium-term forecasting properties, careful attention must be paid to finite-sample biases in assessing …

improve the precision of macroeconomic forecasting, especially in areas with data constraints. This paper investigates whether … travel-related online search queries enhance accuracy in the forecasting of tourist arrivals to The Bahamas from the U.S. The … results indicate that the forecast model incorporating internet search data provides additional information about tourist …

model with endogenously determined policy credibility and an effective lower bound is developed for forecasting and policy …

Past studies on the relationship between electricity consumption and temperature have primarily focused on individual …, overcoming the data constraint by using grid-level night light and temperature data. Mostly generated by electricity and recorded … by satellites, night light has a strong linear relationship with electricity consumption and is correlated with both its …