"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.
Read article
Centre for Evidence-based Policy Advice
Centre for Evidence-based Policy Advice (IWH-CEP) The Centre for Evidence-based Policy Advice (IWH-CEP) of the IWH was founded in 2014. It is a platform that bundles and…
See page
Common Venture Capital Investors and Startup Growth
Ofer Eldar, Jillian Grennan
Review of Financial Studies,
No. 2,
2023
Abstract
We exploit the staggered introduction of liability waivers when investors hold stakes in conflicting business opportunities as a shock to venture capital (VC) investment and director networks. After the law changes, we find increases in within-industry VC investment and common directors serving on startup boards. Despite the potential for rent extraction, same-industry startups inside VC portfolios benefit by raising more capital, failing less, and exiting more successfully. VC directors serving on other startup boards are the primary mechanism associated with positive outcomes, consistent with common VC investment facilitating informational exchanges in VC portfolios.
Read article
Herding Behavior and Systemic Risk in Global Stock Markets
Iftekhar Hasan, Radu Tunaru, Davide Vioto
Journal of Empirical Finance,
September
2023
Abstract
This paper provides new evidence of herding due to non- and fundamental information in global equity markets. Using quantile regressions applied to daily data for 33 countries, we investigate herding during the Eurozone crisis, China’s market crash in 2015–2016, in the aftermath of the Brexit vote and during the Covid-19 Pandemic. We find significant evidence of herding driven by non-fundamental information in case of negative tail market conditions for most countries. This study also investigates the relationship between herding and systemic risk, suggesting that herding due to fundamentals increases when systemic risk increases more than when driven by non-fundamentals. Granger causality tests and Johansen’s vector error-correction model provide solid empirical evidence of a strong interrelationship between herding and systemic risk, entailing that herding behavior may be an ex-ante aspect of systemic risk, with a more relevant role played by herding based on fundamental information in increasing systemic risk.
Read article
Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
See page
CompNet
CompNet - The Competitiveness Research Network The Competitiveness Research Network (CompNet) provides a forum for high level research and policy analysis in the areas of…
See page
Teaching
Teaching Within the framework of its cooperations with both German and foreign universities IWH researchers are actively committed to teaching by offering academic courses. These…
See page
Charts
Info Graphs Sometimes pictures say more than a thousand words. Therefore, we selected a few graphs to present our main topics visually. If you should have any questions or would…
See page
Work-Life Balance
Work-Life-Balance The IWH is family-friendly The Halle Institute for Economic Research constantly reviews and improves its framework for ensuring the compatibility of family and…
See page
Firm Surveys
Firm Surveys Since 1993, IWH has conducted regular surveys among a fixed group of firms in the manufacturing and construction industry to collect individual data on economic…
See page
