We present a hybrid model for diagnosis and critical time forecasting of real estate bubbles. The model combines two …, 35, and 90 national-level macroeconomic time series and a dynamic forecasting methodology. Empirical results suggests …

This paper proposes three short-term forecasting models for the adjusted external reserves using the seasonal …-out-of-sample forecasting procedure over July 2013 to May 2014. The results show that SARIMA model outperformed the other models in three to six … months forecast horizon, whereas ARDL model performs better in one to two months forecast horizon. Therefore, in forecasting …

The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock … the artificial neural network based models outperformed the ARIMA based model in forecasting future developments of the … can be used as predictors for forecasting future values of the stock market returns given that the returns has memory of …