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textual analysis to convert qualitative text data into quantitative sentiment indices. First, a sentiment analysis utilizes … characteristics of sentiments. In a third step, sentiment indices are used to test the efficiency of numerical forecasts. Using 12 …-month-ahead fixed horizon forecasts, fixed-effects panel regression results suggest some informational content of sentiment …
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This paper develops textual sentiment measures for China's stock market by extracting the textual tone of 60 million … messages posted on a major online investor forum in China from 2008 to 2018. We conduct sentiment extraction by using both … convolutional neural network). The market-level textual sentiment index is constructed as the average of message-level sentiment …
Persistent link: https://www.econbiz.de/10012125620
The major focus of this paper is to determine whether the accuracy of German macroeconomic forecasts has improved over time. We examine 1-year-ahead forecasts of real GDP and inflation for 1967 to 2001 made by three major German forecasting groups and the OECD. We examine the accuracy of the...
Persistent link: https://www.econbiz.de/10010509825
Based on a panel of annual data for 17 growth and inflation forecasts from 14 institutions for Germany, we analyse …
Persistent link: https://www.econbiz.de/10011852757
the Joint Economic Forecast, which is an in-dependent forecasting institution in Germany. Our results indicate that … decline in Germany's trend growth and a systematic failure to correctly anticipate recessions. We show that the German …
Persistent link: https://www.econbiz.de/10011958832
This paper uses several macroeconomic and financial indicators within a Markov Switching (MS) framework to predict the turning points of the business cycle. The presented model is applied to monthly German real-time data covering the recession and the recovery after the financial crisis. We show...
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