Domestic Product (GRDP) of Ulsan, South Korea, which is released with a considerable time lag of 2 years, and it is built using … summary, deep learning is a promising tool in economic forecast with time series data sampled at different frequencies …

relationship among selected variables using time series methods. In doing so, it considered realized volatility treasury bonds rate … decompositions and the time-varying coefficient model analysis showed evidence of the recent strengthening co-movement of the bond …

-term housing. At the same time, supplying customized housing for the aged, expanding public rental housing for people with housing …

substantial, and the relative importance of the variables and models are dramatically time-varying. It is also found that recent …

English Abstract: The Federal Reserve raised its benchmark rate to 0.5-0.75% on December 2016 for just the second time …