indicators for the Chinese economy. We compare the dynamics of the estimated factors with GDP, and compare our factors with other … published indicators for the Chinese economy. The indicator data match the GDP dynamics well and discrepancies are very short … for GDP itself nor various coincident indicators are able to forecast them satisfactorily. …

indicators for the Chinese economy. We compare the dynamics of the estimated factors with GDP, and compare our factors with other … published indicators for the Chinese economy. The indicator data match the GDP dynamics well and discrepancies are very short … for GDP itself nor various coincident indicators are able to forecast them satisfactorily. …

represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic …-horizon forecasting and structural models should be used in long-horizon forecasting. Our paper compareds both state-of-the art data …

This paper considers factor forecasting with national versus factor forecasting withinternational data. We forecast … German GDP based on a large set of about 500 time series, consisting of German data as well as data from Euro-area and G7 … estimation using targeted predictors following Bai and Ng [Forecasting economic time series using targeted predictors, Journal of …

assess the marginal predictive content of international data for New Zealand GDP growth. We find that exploiting a large … in the international data. The largest forecasting accuracy gains from including international predictors are at longer … forecast horizons. The forecasting performance achievable with the data-rich methods differs widely, with shrinkage methods and …

negative impact on the economic variables for the euro area. We also perform a forecasting analysis, where we assess the merits … of uncertainty indicators for forecasting industrial production, employment and the stock market, using different … models including the original financial uncertainty index in terms of forecasting. …

partial least squares (PLS) regression to extract dynamic factors from the data set. Our forecasting analysis considers ten …

This paper addresses the issue of forecasting the term structure. We provide a unified state-space modelling framework … forecasting performance of two crucial modelling choices, i.e. the imposition of no-arbitrage restrictions and the size of the … information set used to extract factors. Using US yield curve data, we find that: a. macro factors are very useful in forecasting …