Global Political Ties and the Global Financial Cycle
Gene Ambrocio, Iftekhar Hasan, Xiang Li
IWH Discussion Papers,
No. 23,
2023
Abstract
We study the implications of forging stronger political ties with the US on the sensitivities of stock returns around the world to a global common factor – the global financial cycle. Using voting patterns at the United Nations as a measure of political ties with the US along with various measures of the global financial cycle, we document evidence indicating that stronger political ties with the US amplify the sensitivities of stock returns in developing countries to the global financial cycle. We explore several channels and find that a deepening of financial linkages along with a reduction in information asymmetries and an amplification of sentiment are potentially important factors behind this result.
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The Aggregate Effects of the Decline of Disruptive Innovation
Richard Bräuer
IWH Discussion Papers,
No. 22,
2023
Abstract
This paper proposes a model that explains both recently documented facts about the decline of disruptive innovation and the decline in productivity growth as the result of large firms trying to monopolize technologies by poaching inventors from disruptive activities. To come to this conclusion, the paper builds an endogenous growth model with inventor labor markets on which firms can interact strategically. To inform this model, I perform an event study of the effect of disruptive inventions on their technology fields using PATSTAT (1980-2010). I document that technology classes without disruption slowly trend towards incrementalism and that after a disruption, more patents get registered and research becomes less incremental.
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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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Microdata for Economic Research in Europe: Challenges and Proposals
Eric Bartelsman, Marco Matani, Filippo di Mauro, Sergio Inferrera, Ugo Panizza, Michael Polder
CEPR,
No. 18640,
2023
Abstract
While access to high-quality microdata is essential for economic research and policy evaluation, effective access to such data remains limited in Europe. It varies from country to country, with uneven information on access procedures. This is a major obstacle to social science research, including research on European competitiveness and the effects of climate change, inequality, globalization, and digitalization. The objective of this paper, which is based on a brainstorming exercise coordinated by CEPR and CompNet, is to assess the status quo and discuss a series of proposals for improving access to Microdata for economic research. We underline the need for developing the relevant tools for extended access to and use of European business statistics microdata. Building such tools entails both establishing the requested microdata and creating a body facilitating cross-country access to the established databases with harmonized content.
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Die Gemeinschaftsdiagnose. Wirtschaftspolitischer Hintergrund, Methoden und Prognosegüte
Oliver Holtemöller
WiSt - Wirtschaftswissenschaftliches Studium,
No. 9,
2023
Abstract
This paper presents the Joint Economic Forecast (Gemeinschaftsdiagnose, GD) of the leading German economic research institutes. The GD provides a reference for the federal government's macroeconomic projections on which the tax estimates are based, and it informs economic policy makers, the media and the general public about important economic developments. The reports are published each spring and fall.
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The Labor Effects of Judicial Bias in Bankruptcy
Aloisio Araujo, Rafael Ferreira, Spyridon Lagaras, Flavio Moraes, Jacopo Ponticelli, Margarita Tsoutsoura
Journal of Financial Economics,
No. 2,
2023
Abstract
We study the effect of judicial bias favoring firm continuation in bankruptcy on the labor market outcomes of employees by exploiting the random assignment of cases across courts in the State of São Paulo in Brazil. Employees of firms assigned to courts that favor firm continuation are more likely to stay with their employer, but they earn, on average, lower wages three to five years after bankruptcy. We discuss several potential mechanisms that can rationalize this result, and provide evidence that imperfect information about outside options in the local labor market and adjustment costs associated with job change play an important role.
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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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Regulation and Information Costs of Sovereign Distress: Evidence from Corporate Lending Markets
Iftekhar Hasan, Suk-Joong Kim, Panagiotis Politsidis, Eliza Wu
Journal of Corporate Finance,
October
2023
Abstract
We examine the effect of sovereign credit impairments on the pricing of syndicated loans following rating downgrades in the borrowing firms' countries of domicile. We find that the sovereign ceiling policies used by credit rating agencies create a disproportionately adverse impact on the bounded firms' borrowing costs relative to other domestic firms following their sovereign's rating downgrade. Rating-based regulatory frictions partially explain our results. On the supply-side, loans carry a higher spread when granted from low-capital banks, non-bank lenders, and banks with high market power. We further document an operating demand-side channel, contingent on borrowers' size, financial constraints, and global diversification. Our results can be attributed to the relative bargaining power between lenders and borrowers: relationship borrowers and non-bank dependent borrowers with alternative financing sources are much less affected.
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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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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.
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