"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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The Dilemma of International Diversification: Evidence from the European Sovereign Debt Crisis
Bill Francis, Iftekhar Hasan, Gergana L. Kostova, Sami Ben Naceur
Asia-Pacific Journal of Financial Studies,
No. 2,
2020
Abstract
This paper tests how capital markets value the international diversification of banks in good and in bad economic times by investigating changes in domestic and foreign sovereign debt ratings before and during the European sovereign debt crisis. Tracing 320 European banks in 29 countries and 226 credit rating announcements for European sovereigns between 1 January 2001 and 15 August 2012, we show that the market values banks with access to foreign funds. Despite occasional adverse effects immediately following negative news regarding sovereign credit rating changes, international diversification was found to be beneficial to European banks, especially during periods of distress.
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Managerial Effect or Firm Effect: Evidence from the Private Debt Market
Bill Francis, Iftekhar Hasan, Yun Zhu
Financial Review,
No. 1,
2020
Abstract
This paper provides evidence that the managerial effect is a key determinant of firms’ cost of capital, in the context of private debt contracting. Applying the novel empirical method developed by an earlier study to a large sample that tracks the job movement of top managers, we find that the managerial effect is a critical and significant factor that explains a large part of the variation in loan contract terms more accurately than firm fixed effects. Additional evidence shows that banks “follow” managers when they change jobs and offer loan contracts with preferential terms to their new firms.
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Banks’ Equity Performance and the Term Structure of Interest Rates
Elyas Elyasiani, Iftekhar Hasan, Elena Kalotychou, Panos K. Pouliasis, Sotiris Staikouras
Financial Markets, Institutions and Instruments,
No. 2,
2020
Abstract
Using an extensive global sample, this paper investigates the impact of the term structure of interest rates on bank equity returns. Decomposing the yield curve to its three constituents (level, slope and curvature), the paper evaluates the time-varying sensitivity of the bank’s equity returns to these constituents by using a diagonal dynamic conditional correlation multivariate GARCH framework. Evidence reveals that the empirical proxies for the three factors explain the variations in equity returns above and beyond the market-wide effect. More specifically, shocks to the long-term (level) and short-term (slope) factors have a statistically significant impact on equity returns, while those on the medium-term (curvature) factor are less clear-cut. Bank size plays an important role in the sense that exposures are higher for SIFIs and large banks compared to medium and small banks. Moreover, banks exhibit greater sensitivities to all risk factors during the crisis and postcrisis periods compared to the pre-crisis period; though these sensitivities do not differ for market-oriented and bank-oriented financial systems.
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Stock Liquidity and Corporate Labor Investment
Mong Shan Ee, Iftekhar Hasan, He Huang
Journal of Corporate Finance,
February
2022
Abstract
Labor is among the most crucial factors of production that maintain a firm's competitiveness. Given its economic importance, drivers of firms' labor investment policy have gained increasing attention in the financial economics literature. This study investigates the relation between stock liquidity and labor investment efficiency. We establish a causal relation between the two phenomena using an exogenous shock to liquidity: the 2001 decimalization of stock trading. We find that labor investment efficiency improves following an increase in stock liquidity, and the effect is prevalent in firms experiencing overinvestment in labor. Our findings further support the argument that stock liquidity improves the efficiency of labor investment by enhancing governance through shareholder exit threat.
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