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Contact Get a quick overview of how to reach us and whom to contact: Postal Address: Halle Institute for Economic Research (IWH) - Member of the Leibniz Association P.O. Box 11 03…
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IWH-DPE Call for Applications
IWH-DPE Call for Applications About the IWH Doctoral Programme in Economics The IWH Doctoral Programme in Economics (IWH-DPE) is a rigorous structured four-year PhD programme with…
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Centre for Business and Productivity Dynamics (IWH-CBPD)
Centre for Business and Productivity Dynamics (IWH-CBPD) The Centre for Business and Productivity Dynamics (CBPD) was founded in January 2025 and works with policy and research…
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The Reverse Revolving Door in the Supervision of European Banks
Stefano Colonnello, Michael Koetter, Alex Sclip, Konstantin Wagner
IWH Discussion Papers,
No. 25,
2023
Abstract
We show that around one third of executive directors on the boards of national supervisory authorities (NSA) in European banking have an employment history in the financial industry. The appointment of executives without a finance background associates with negative valuation effects. Appointments of former bankers, in turn, spark positive stock market reactions. This „proximity premium“ of supervised banks is a more likely driver of positive valuation effects than superior financial expertise or intrinsic skills of former executives from the financial industry. Prior to the inception of the European Single Supervisory Mechanism, the presence of former financial industry executives on the board of NSA associates with lower regulatory capital and faster growth of banks, pointing to a more lenient supervisory style.
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The Importance of Credit Demand for Business Cycle Dynamics
Gregor von Schweinitz
IWH Discussion Papers,
No. 21,
2023
Abstract
This paper contributes to a better understanding of the important role that credit demand plays for credit markets and aggregate macroeconomic developments as both a source and transmitter of economic shocks. I am the first to identify a structural credit demand equation together with credit supply, aggregate supply, demand and monetary policy in a Bayesian structural VAR. The model combines informative priors on structural coefficients and multiple external instruments to achieve identification. In order to improve identification of the credit demand shocks, I construct a new granular instrument from regional mortgage origination.
I find that credit demand is quite elastic with respect to contemporaneous macroeconomic conditions, while credit supply is relatively inelastic. I show that credit supply and demand shocks matter for aggregate fluctuations, albeit at different times: credit demand shocks mostly drove the boom prior to the financial crisis, while credit supply shocks were responsible during and after the crisis itself. In an out-of-sample exercise, I find that the Covid pandemic induced a large expansion of credit demand in 2020Q2, which pushed the US economy towards a sustained recovery and helped to avoid a stagflationary scenario in 2022.
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Executive Board and Supervisory Board
Executive and Supervisory Board As a membership corporation the IWH is statutably divided into different functional units of organisation (Management and Boards) through which it…
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Internships
Internship at Halle Institute for Economic Research (IWH) Interested in gaining an authentic insight in the interesting daily business and the variable tasks of an institute for…
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OVERHANG: Debt overhang and green investments - the role of banks in climate-friendly management of emission-intensive fixed assets
OVERHANG: Debt overhang and green investments - the role of banks in climate-friendly management of emission-intensive fixed assets Subproject 1: Policy Changes, Lending and…
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Green Investing, Information Asymmetry, and Capital Structure
Shasha Li, Biao Yang
IWH Discussion Papers,
No. 20,
2023
Abstract
We investigate how optimal attention allocation of green-motivated investors changes information asymmetry in financial markets and thus affects firms‘ financing costs. To guide our empirical analysis, we propose a model where investors with heterogeneous green preferences endogenously allocate limited attention to learn market-level or firm-specific fundamental shocks. We find that a higher fraction of green investors in the market leads to higher aggregate attention to green firms. This reduces the information asymmetry of green firms, leading to higher price informativeness and lower leverage. Moreover, the information asymmetry of brown firms and the market increases with the share of green investors. Therefore, greater green attention is associated with less market efficiency. We provide empirical evidence to support our model predictions using U.S. data. Our paper shows how the growing demand for sustainable investing shifts investors‘ attention and benefits eco-friendly firms.
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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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