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German economy in transition ‒ weak momentum, low potential growth The Joint Economic Forecast Project Group forecasts a 0.1% decline in Germany's gross domestic product in 2024.…
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IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for Economic Research (IWH) presents the Institute’s research on the topics of corporate bankruptcy,…
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Macro data interactive This service provides time series from official publications (Statistisches Bundesamt [German Federal Statistical Office], Arbeitskreis Volkswirtschaftliche…
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IWH Macrometer Macroeconomic Database for the German Länder, East and West Germany The data offered by the IWH Macrometer consists of two parts: (1) interactive macro data and (2)…
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DPE Course Programme Archive 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2024 Presenting and Writing about your Research Tim Korver October 14-15, 2024 (IWH)…
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Courses Courses are organised in coordination with partner institutions within the Central-German Doctoral Program Economics (CGDE) network. IWH organises First-Year Courses in…
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W1 Assistant Professor (f/m/d) in Finance and Labor
Stellenausschreibung W1 Assistant Professor (f/m/d) in Finance and Labor The Faculty of Economics and Business Administration at the Friedrich Schiller University Jena and the…
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Economic Outlook
Joint Economic Forecast Autumn 2024 German economy in transition ‒ weak momentum, low potential growth September 26, 2024 The Joint Economic Forecast Project Group forecasts a…
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"Let Me Get Back to You" — A Machine Learning Approach to Measuring NonAnswers
Andreas Barth, Sasan Mansouri, Fabian Wöbbeking
Management Science,
No. 10,
2023
Abstract
Using a supervised machine learning framework on a large training set of questions and answers, we identify 1,364 trigrams that signal nonanswers in earnings call questions and answers (Q&A). We show that this glossary has economic relevance by applying it to contemporaneous stock market reactions after earnings calls. Our findings suggest that obstructing the flow of information leads to significantly lower cumulative abnormal stock returns and higher implied volatility. As both our method and glossary are free of financial context, we believe that the measure is applicable to other fields with a Q&A setup outside the contextual domain of financial earnings conference calls.
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