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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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Using the dictionary-based approach to measure the sentiment of finance-related texts is primarily focused on English …. Additionally, I tested multiple measurements of sentiment. I show that using the edited and extended dictionary to calculate a … relative measurement of sentiment, central assumptions regarding textual analysis can be fulfilled and more significant …
Persistent link: https://www.econbiz.de/10012887911
Automated sentiment scoring offers relevant empirical information for many political science applications. However …, apart from English language resources, validated dictionaries are rare. This note introduces a German sentiment dictionary … zero. This warrants caution when interpreting sentiment scores as interval or even ratio scales in applied research. …
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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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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...
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