"Let Me Get Back to You" — A Machine Learning Approach to Measuring NonAnswers
Andreas Barth, Sasan Mansouri, Fabian Wöbbeking
Management Science,
forthcoming
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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To Securitize or To Price Credit Risk?
Danny McGowan, Huyen Nguyen
Journal of Financial and Quantitative Analysis,
forthcoming
Abstract
Do lenders securitize or price loans in response to credit risk? Exploiting exogenous variation in regional credit risk due to foreclosure law differences along US state borders, we find that lenders securitize mortgages that are eligible for sale to the Government Sponsored Enterprises (GSEs) rather than price regional credit risk. For non-GSE-eligible mortgages with no GSE buyback provision, lenders increase interest rates as they are unable to shift credit risk to loan purchasers. The results inform the debate surrounding the GSEs' buyback provisions, the constant interest rate policy, and show that underpricing regional credit risk increases the GSEs' debt holdings.
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The Geography of Information: Evidence from the Public Debt Market
Bill Francis, Iftekhar Hasan, Maya Waisman
Journal of Economic Geography,
forthcoming
Abstract
nWe investigate the link between the spatial concentration of firms in large, central metropolitans (i.e. urban agglomeration) and the cost of public corporate debt. Looking at bond issues over the period 1985–2014, we find that bonds issued by companies headquartered in urban agglomerates have lower at-issue yield spreads than bonds issued by firms based in remote, sparsely populated areas. Measures of the count of institutional bondholders in a firm’s vicinity confirm that the spatial cross-sectional variation in bond spreads is driven by the proximity of metropolitan firms to large concentrations of institutional investors. Our results are robust to controls for firm productivity and governance, analyst following, and exogenous shocks to institutional investor attention. The effect of headquarters location on bond spreads is especially pronounced for more difficult to value, speculative-grade bonds, bonds issued by smaller, less visible firms and bonds issued without protective covenants. Overall, we provide evidence that the geographical distribution of firms and investors generates a corresponding distribution of value-relevant, firm-level information that affects its cost of capital.
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The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
IWH Discussion Papers,
No. 7,
2023
Abstract
We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment size than age. We find that establishments that report having robotics have higher capital expenditures, including higher information technology (IT) capital expenditures. Also, establishments are more likely to have robotics if other establishments in the same Core-Based Statistical Area (CBSA) and industry also report having robotics. The distribution of robots is highly skewed across establishments’ locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of robot integrators and higher levels of union membership are positively correlated with being a Robot Hub.
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Climate Change Concerns and Information Spillovers from Socially-connected Friends
Maximilian Mayer
IWH Discussion Papers,
No. 2,
2023
Abstract
This paper studies the role of social connections in shaping individuals’ concerns about climate change. I combine granular climate data, region-level social network data and survey responses for 24 European countries in order to document large information spillovers. Individuals become more concerned about climate change when their geographically distant friends living in sociallyconnected regions have experienced large increases in temperatures since 1990. Exploring the heterogeneity of the spillover effects, I uncover that the learning via social networks plays a central role. Further, results illustrate the important role of social values and economic preferences for understanding how information spillovers affect individual concerns.
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Where to Go? High-skilled Individuals’ Regional Preferences
Sabrina Jeworrek, Matthias Brachert
IWH Discussion Papers,
No. 27,
2022
Abstract
We conduct a discrete choice experiment to investigate how the location of a firm in a rural or urban region affects job attractiveness and contributes to the spatial sorting of university students and graduates. We characterize the attractiveness of a location based on several dimensions (social life, public infrastructure, connectivity) and combine this information with an urban or rural attribution. We also vary job design as well as contractual characteristics of the job. We find that job offers from companies in rural areas are generally considered less attractive. This is true regardless of the attractiveness of the region. The negative perception is particularly pronounced among persons with urban origin and singles. These persons rate job offers from rural regions significantly worse. In contrast, high-skilled individuals who originate from rural areas as well as individuals with partners and kids have no specific preference for jobs in urban or rural areas.
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Measuring Market Expectations
Christiane Baumeister
Handbook of Economic Expectations,
November
2022
Abstract
Asset prices are a valuable source of information about financial market participants' expectations about key macroeconomic variables. However, the presence of time-varying risk premia requires an adjustment of market prices to obtain the market's rational assessment of future price and policy developments. This paper reviews empirical approaches for recovering market-based expectations. It starts by laying out the two canonical modeling frameworks that form the backbone for estimating risk premia and highlights the proliferation of risk pricing factors that result in a wide range of different asset-price-based expectation measures. It then describes a key methodological innovation to evaluate the empirical plausibility of risk premium estimates and to identify the most accurate market-based expectation measure. The usefulness of this general approach is illustrated for price expectations in the global oil market. Then, the paper provides an overview of the body of empirical evidence for monetary policy and inflation expectations with a special emphasis on market-specific characteristics that complicate the quest for the best possible market-based expectation measure. Finally, it discusses a number of economic applications where market expectations play a key role for evaluating economic models, guiding policy analysis, and deriving shock measures.
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Firm Subsidies, Financial Intermediation, and Bank Stability
Aleksandr Kazakov, Michael Koetter, Mirko Titze, Lena Tonzer
IWH Discussion Papers,
No. 24,
2022
Abstract
We use granular project-level information for the largest regional economic development program in German history to study whether government subsidies to firms affect the quantity and quality of bank lending. We combine the universe of recipient firms under the Improvement of Regional Economic Structures program (GRW) with their local banks during 1998-2019. The modalities of GRW subsidies to firms are determined at the EU level. Therefore, we use it to identify bank outcomes. Banks with relationships to more subsidized firms exhibit higher lending volumes without any significant differences in bank stability. Subsidized firms, in turn, borrow more indicating that banks facilitate regional economic development policies.
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Capital Markets Union: Database of Directives and Regulations
Moritz Emlein, Eleonora Sfrappini, Lena Tonzer, Cristina Zgherea
IWH Technical Reports,
No. 2,
2022
Abstract
In 2015, the European Commission adopted the Capital Markets Union (CMU) action plan. The plan aims to deepen financial integration and harmonize international standards for investments within the European Union (EU) and it outlines several actions to be implemented in order to address twelve key priority areas. We assemble a database of the legislative acts that implement the CMU. The dataset includes a list of directives and regulations at the EU level with information on publication, entry into force, and transposition dates as well as brief descriptions. This information might be useful in empirical analyses assessing the effectiveness of components of the CMU.
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Micro Data on Robots from the IAB Establishment Panel
Verena Plümpe, Jens Stegmaier
Jahrbücher für Nationalökonomie und Statistik,
2022
Abstract
Micro-data on robots have been very sparse in Germany so far. Consequently, a dedicated section has been introduced in the IAB Establishment Panel 2019 that includes questions on the number and type of robots used. This article describes the background and development of the survey questions, provides information on the quality of the data, possible checks and steps of data preparation. The resulting data is aggregated on industry level and compared with the frequently used robot data by the International Federation of Robotics (IFR) which contains robot supplier information on aggregate robot stocks and deliveries.
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