Are Bank Capital Requirements Optimally Set? Evidence from Researchers’ Views
Gene Ambrocio, Iftekhar Hasan, Esa Jokivuolle, Kim Ristolainen
Journal of Financial Stability,
October
2020
Abstract
We survey 149 leading academic researchers on bank capital regulation. The median (average) respondent prefers a 10% (15%) minimum non-risk-weighted equity-to-assets ratio, which is considerably higher than the current requirement. North Americans prefer a significantly higher equity-to-assets ratio than Europeans. We find substantial support for the new forms of regulation introduced in Basel III, such as liquidity requirements. Views are most dispersed regarding the use of hybrid assets and bail-inable debt in capital regulation. 70% of experts would support an additional market-based capital requirement. When investigating factors driving capital requirement preferences, we find that the typical expert believes a five percentage points increase in capital requirements would “probably decrease” both the likelihood and social cost of a crisis with “minimal to no change” to loan volumes and economic activity. The best predictor of capital requirement preference is how strongly an expert believes that higher capital requirements would increase the cost of bank lending.
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Should We Use Linearized Models To Calculate Fiscal Multipliers?
Jesper Lindé, Mathias Trabandt
Journal of Applied Econometrics,
No. 7,
2018
Abstract
We calculate the magnitude of the government consumption multiplier in linearized and nonlinear solutions of a New Keynesian model at the zero lower bound. Importantly, the model is amended with real rigidities to simultaneously account for the macroeconomic evidence of a low Phillips curve slope and the microeconomic evidence of frequent price changes. We show that the nonlinear solution is associated with a much smaller multiplier than the linearized solution in long‐lived liquidity traps, and pin down the key features in the model which account for the difference. Our results caution against the common practice of using linearized models to calculate fiscal multipliers in long‐lived liquidity traps.
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Evidence-based Support for Adaptation Policies in Emerging Economies
Maximilian Banning, Anett Großmann, Katja Heinisch, Frank Hohmann, Christian Lutz, Christoph Schult
IWH Studies,
No. 2,
2023
Abstract
In recent years, the impacts of climate change become increasingly evident, both in magnitude and frequency. The design and implementation of adequate climate adaptation policies play an important role in the macroeconomic policy discourse to assess the impact of climate change on regional and sectoral economic growth. We propose different modelling approaches to quantify the socio-economic impacts of climate change and design specific adaptations in three emerging market economies (Kazakhstan, Georgia and Vietnam) which belong to the areas that are heavily exposed to climate change. A Dynamic General Equilibrium (DGE) model has been used for Vietnam and economy-energy-emission (E3) models for the other two countries. Our modelling results show how different climate hazards impact the economy up to the year 2050. Adaptation measures in particular in the agricultural sector have positive implications for the gross domestic product (GDP). However, some adaptation measures can even increase greenhouse gas emissions. In addition, the focus on GDP as the main indicator to evaluate policy measures can produce welfare-reducing policy decisions.
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Import Competition and Firm Productivity: Evidence from German Manufacturing
Richard Bräuer, Matthias Mertens, Viktor Slavtchev
World Economy,
No. 8,
2023
Abstract
Abstract We study how different types of import competition affect firm productivity using firm-product data from German manufacturing (2000-2014). Competition from high-income countries causes affected domestic firms to increase their productivity and lower their prices. Oppositely, import competition from low-wage countries does not lead to firm productivity gains. Instead, domestic firms' sales and input usage decline. Our findings confirm the intuition of ladder models that the effect of competition depends on the "closeness" of competitors. They are in line with widespread X-inefficiencies throughout the economy, which firms reduce in response to competition from high-income countries.
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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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When the Meaning of Work Has Disappeared: Experimental Evidence on Employees’ Performance and Emotions
Adrian Chadi, Sabrina Jeworrek, Vanessa Mertins
Management Science,
No. 6,
2017
Abstract
This experiment tests for a causal relationship between the meaning of work and employees’ motivation to perform well. The study builds on an existing employer–employee relationship, adding realism to the ongoing research of task meaning. Owing to an unexpected project cancelation, we are able to study how varying the information provided about the meaning of previously conducted work — without the use of deception, but still maintaining a high level of control — affects subsequent performance. We observe a strong decline in exerted effort when we inform workers about the meaninglessness of a job already done. Our data also suggests that providing a supplemental alternative meaning perfectly compensates for this negative performance effect. Individual characteristics such as reciprocal inclinations and trust prompt different reactions. The data also show that the meaning of work affects workers’ emotions, but we cannot establish a clear relationship between emotional responses and performance.
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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
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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What Makes the Difference? Microfinance Versus Commercial Banks
Afsheen Abrar, Iftekhar Hasan, Rezaul Kabir
Borsa Istanbul Review,
No. 4,
2023
Abstract
We make a comparison of microfinance banks (MBs) and commercial banks (CBs) in terms of efficiency, business orientation, stability, and asset quality by analyzing a large sample of banks from 60 countries around the world. Our findings indicate that microfinance banks have higher intermediation, non-interest income, wholesale funding and liquidity, but lower efficiency and asset quality. These significant variations are influenced by smaller microfinance banks and are driven mostly to African and Latin American microfinance banks.
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The Real Impact of Ratings-based Capital Rules on the Finance-Growth Nexus
Iftekhar Hasan, Gazi Hassan, Suk-Joong Kim, Eliza Wu
International Review of Financial Analysis,
January
2021
Abstract
We investigate whether ratings-based capital regulation has affected the finance-growth nexus via a foreign credit channel. Using quarterly data on short to medium term real GDP growth and cross-border bank lending flows from G-10 countries to 67 recipient countries, we find that since the implementation of Basel 2 capital rules, risk weight reductions mapped to sovereign credit rating upgrades have stimulated short-term economic growth in investment grade recipients but hampered growth in non-investment grade recipients. The impact of these rating upgrades is strongest in the first year and then reverses from the third year and onwards. On the other hand, there is a consistent and lasting negative impact of risk weight increases due to rating downgrades across all recipient countries. The adverse effects of ratings-based capital regulation on foreign bank credit supply and economic growth are compounded in countries with more corruption and less competitive banking sectors and are attenuated with greater political stability.
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