than half of the total value-added. In this paper, we develop distress prediction models for SMEs using a dataset from … overall distress rates. Moreover, SMEs across Europe are vulnerable to the same idiosyncratic factors but systematic factors …In the European Union, small and medium sized enterprises (SMEs) represent 99% of all businesses and contribute to more …

significantly improve both in-sample model fit and out-of-sample forecasting accuracy. The improvements in forecasting accuracy are …

of financial distressful events. In a second stage of the analysis, the direct method of forecasting through principal … increasing number of factors, especially when using the indirect method of forecasting. …

The paper compares one-period ahead forecasting performance of linear vector-autoregressive (VAR) models and single …

There is no standard economic forecasting procedure that systematically outperforms the others at all horizons and with … forecasting purposes where the traditional ARMA specification is preferred. Accounting for the Easter effect improves the forecast …

from internet search queries performed on the search engine Google. The forecasting performance of the Google Inflation …, Survey of Professional Forecasters, and the Michigan Survey. While useful in developing models of forecasting inflation …

, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to …

Michigan Surveys of Consumers. While these measures have been useful in developing models of forecasting inflation, the data …