The Impacts of Intellectual Property Rights Protection on Cross-Border M&As
Iftekhar Hasan, Fahad Khalil, Xian Sun
Quarterly Journal of Finance,
No. 3,
2017
Abstract
We investigate the impacts of improved intellectual property rights (IPR) protection on cross-border Mergers and Acquisitions performance. Using multiple measures of IPR protection and based on generalized difference-in-differences estimates, we find that countries with better IPR protection attract significantly more hi-tech cross-border Mergers and Acquisitions activity, particularly in developing economies. Moreover, acquirers pay higher premiums for companies in countries with better IPR protection, and there is a significantly higher acquirer announcement effect associated with these hi-tech transactions.
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Bank Overall Financial Strength: Islamic Versus Conventional Banks
Michael Doumpos, Iftekhar Hasan, Fotios Pasiouras
Economic Modelling,
2017
Abstract
A number of recent studies compare the performance of Islamic and conventional banks with the use of individual financial ratios or efficiency frontier techniques. The present study extends this strand of the literature, by comparing Islamic banks, conventional banks, and banks with an Islamic window with the use of a bank overall financial strength index. This index is developed with a multicriteria methodology that allows us to aggregate various criteria capturing bank capital strength, asset quality, earnings, liquidity, and management quality in controlling expenses. We find that banks differ significantly in terms of individual financial ratios; however, the difference of the overall financial strength between Islamic and conventional banks is not statistically significant. This finding is confirmed with both univariate comparisons and in multivariate regression estimations. When we look at the bank financial strength within regions, we find that conventional banks outperform both the Islamic banks and the banks with Islamic window in the case of Asia and the Gulf Cooperation Council; however, Islamic banks perform better in the MENA and Senegal region. Second stage regressions also reveal that the bank overall financial strength index is influenced by various country-specific attributes. These include control of corruption, government effectiveness, and operation in one of the seven countries that are expected to drive the next big wave in Islamic finance.
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Meaningless Work Threatens Job Performance
Adrian Chadi, Sabrina Jeworrek, Vanessa Mertins
LSE Business Review,
2017
Abstract
Open, transparent communication across the organisation is generally associated with improved employee motivation and organisational outcomes. For supervisors, the question arises how to deal with rather inconvenient information, such as in the case of a project failure. Informing employees after significant investments of time and effort might lead to negative effects on subsequent work motivation, one could argue. To identify a causal relationship between the meaning of previously completed work and workers’ subsequent work performance, we exploited a natural working environment in which the loss of the job’s meaning occurred as a matter of fact. At the same time, it was possible to credibly guide only part of the workforce to believe in the sudden loss of meaning by conducting a controlled experiment.
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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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Do Local Banking Market Structures Matter for SME Financing and Performance? New Evidence from an Emerging Economy
Iftekhar Hasan, Krzysztof Jackowicz, Oskar Kowalewski, Łukasz Kozłowski
Journal of Banking and Finance,
2017
Abstract
This paper investigates the relationship between local banking structures and SMEs’ access to debt and performance. Using a unique dataset on bank branch locations in Poland and firm-, county-, and bank-level data, we conclude that a strong position for local cooperative banks facilitates access to bank financing, lowers financial costs, boosts investments, and favours growth for SMEs. Moreover, counties in which cooperative banks hold a strong position are characterized by a more rapid pace of new firm creation. The opposite effects appear in the majority of cases for local banking markets dominated by foreign-owned banks. Consequently, our findings are important from a policy perspective because they show that foreign bank entry and industry consolidation may raise valid concerns for SME prospects in emerging economies.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Private Equity and Industry Performance
Shai B. Bernstein, Josh Lerner, Morten Sorensen, Per Strömberg
Management Science,
No. 4,
2017
Abstract
The growth of the private equity industry has spurred concerns about its impact on the economy. This analysis looks across nations and industries to assess the impact of private equity on industry performance. We find that industries where private equity funds invest grow more quickly in terms of total production and employment and appear less exposed to aggregate shocks. Our robustness tests provide some evidence that is consistent with our effects being driven by our preferred channel.
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IWH-Industrieumfrage zum Jahresauftakt 2017: Ostdeutsche Hersteller gehen nach Aufschwung im Jahr 2016 von weiterhin günstigen Geschäftsaussichten aus
Birgit Schultz
Konjunktur aktuell,
No. 1,
2017
Abstract
Die vom IWH befragten rund 300 Unternehmen des Verarbeitenden Gewerbes Ostdeutschlands gehen nach einem erfolgreichen Geschäftsjahr 2016 zuversichtlich in das neue Jahr. Die Umsätze stiegen im Jahr 2016 meist stärker als vor einem Jahr von ihnen erwartet. Bei den Konsumgüterherstellern war die Umsatzentwicklung besonders erfreulich. In allen Sparten war die Industriekonjunktur mit viel Schwung in das Jahr 2016 gestartet und bremste erst im späteren Verlauf des Jahres etwas ab. Mit Blick auf das Jahr 2017 zeigt sich die überwiegende Mehrheit der befragten Unternehmen aber wieder optimistisch. Die Ertragslage konnte sich im Jahr 2016 im Vergleich zum Vorjahr zwar nicht weiter verbessern, jedoch schafften es mehr Unternehmen, aus der Verlustzone zu kommen. Die Exportunternehmen, die in den Jahren zuvor eine besonders gute Performance gezeigt hatten, konnten diesmal nicht durchweg überdurchschnittlichen glänzen. Das soll im Jahr 2017 wieder aufgeholt werden, wie Umsatz- und Beschäftigungspläne zeigen. Insbesondere die größeren ostdeutschen Industrieunternehmen planen häufig, ihren Personalbestand zu erhöhen.
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Banking Globalization, Local Lending, and Labor Market Effects: Micro-level Evidence from Brazil
Felix Noth, Matias Ossandon Busch
Abstract
This paper estimates the effect of a foreign funding shock to banks in Brazil after the collapse of Lehman Brothers in September 2008. Our robust results show that bank-specific shocks to Brazilian parent banks negatively affected lending by their individual branches and trigger real economic consequences in Brazilian municipalities: More affected regions face restrictions in aggregated credit and show weaker labor market performance in the aftermath which documents the transmission mechanism of the global financial crisis to local labor markets in emerging countries. The results represent relevant information for regulators concerned with the real effects of cross-border liquidity shocks.
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Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The expost threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. Given probabilistic model output, it is intuitive that a decision rule is independent of the data or model specification, as thresholds on probabilities represent a willingness to issue a false alarm vis-à-vis missing a crisis. We provide simulated and real-world evidence that this simplification results in stable thresholds and improves out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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