Legal Insider Trading and Stock Market Liquidity
Hans Degryse, Frank de Jong, Jérémie Lefebvre
De Economist,
No. 1,
2016
Abstract
This paper assesses the impact of legal trades by corporate insiders on the liquidity of the firm’s stock. For this purpose, we analyze two liquidity measures and one information asymmetry measure. The analysis allows us to study as well the effect of a change in insider trading regulation, namely the implementation of the Market Abuse Directive (European Union Directive 2003/6/EC) on the Dutch stock market. The first set of results shows that, in accordance with theories of asymmetric information, the intensity of legal insider trading in a given company is positively related to the bid-ask spread and to the information asymmetry measure. We also find that the Market Abuse Directive did not reduce significantly this effect. Secondly, analyzing liquidity and information asymmetry around the days of legal insider trading, we find that small and large capitalization stocks see their bid-ask spread and the permanent price impact increase when insiders trade. For mid-cap stocks, only the permanent price impact increases. Finally, we could not detect a significant improvement of these results following the change in regulation.
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Size of Training Firms and Cumulated Long-run Unemployment Exposure – The Role of Firms, Luck, and Ability in Young Workers’ Careers
Steffen Müller, Renate Neubäumer
Abstract
This paper analyzes how life-cycle unemployment of former apprentices depends on the size of the training firm. We start from the hypotheses that the size of training firms reduces long-run cumulated unemployment exposure, e.g. via differences in training quality and in the availability of internal labor markets, and that the access to large training firms depends positively on young workers’ ability and their luck to live in a region with many large and medium-sized training firms. We test these hypotheses empirically by using a large administrative data set for Germany and find corroborative evidence.
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16.12.2015 • 45/2015
German Economy: Strong domestic demand compensates for weak exports
The upturn of the German economy is expected to gain further momentum as a consequence of strong domestic demand. Real gross domestic product is expected to increase by 1.6% in 2016. Consumer prices are expected to rise by 0.9%. Unemployment is expected to rise slightly because it will take time to integrate refugees into the labour market.
Oliver Holtemöller
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Does the Plant Size–wage Differential Increase with Tenure? Affirming Evidence from German Panel Data
Daniel Fackler, Thorsten Schank, Claus Schnabel
Economics Letters,
2015
Abstract
We show that the major part of the plant size–wage premium in Germany is reflected in different wage growth patterns in plants of different size. This is consistent with the hypothesis that large firms ‘produce’ more skilled workers over time.
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The Structure and Evolution of Inter-sectoral Technological Complementarity in R&D in Germany from 1990 to 2011
T. Broekel, Matthias Brachert
Journal of Evolutionary Economics,
No. 4,
2015
Abstract
Technological complementarity is argued to be a crucial element for effective R&D collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis. The results illustrate sectors being complements both from a dyadic and portfolio/network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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Taking the First Step - What Determines German Laser Source Manufacturers' Entry into Innovation Networks?
Jutta Günther, Muhamed Kudic, Andreas Pyka
International Journal of Innovation Management,
No. 5,
2015
Abstract
Early access to technological knowledge embodied in the industry’s innovation network can provide an important competitive advantage to firms. While the literature provides much evidence on the positive effects of innovation networks on firms’ performance, not much is known about the determinants of firms’ initial entry into such networks. We analyze firms’ timing and propensity to enter the industry’s innovation network. More precisely, we seek to shed some light on the factors affecting the duration between firm founding and its first cooperation event. In doing so, we apply a unique longitudinal event history dataset based on the full population of German laser source manufacturers. Innovation network data stem from official databases providing detailed information on the organizations involved, subject of joint research and development (R&D) efforts as well as start and end times for all publically funded R&D projects between 1990 and 2010. Estimation results from a non-parametric event history model indicate that micro firms enter the network later than small-sized or large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of geographical determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
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Is There Monopsonistic Discrimination against Immigrants?
Boris Hirsch, Elke J. Jahn
ILR Review,
No. 3,
2015
Abstract
The authors investigate immigrants’ and natives’ labor supply to the firm within an estimation approach based on a dynamic monopsony framework. Applying duration models that account for unobserved worker heterogeneity to a large administrative employer–employee data set for Germany, they find that immigrants supply labor less elastically to firms than do natives. Under monopsonistic wage setting, the estimated elasticity differential predicts a 7.7 log points wage penalty for immigrants thereby accounting for the entire unexplained native–immigrant wage differential of 5.8 to 8.2 log points. When further distinguishing immigrant groups differing in their time spent in the German labor market, their immigration cohort, and their age at entry, the authors find that the observed unexplained wage differential is larger for those groups that show a larger elasticity differential relative to natives. These findings not only suggest that search frictions are a likely cause of employers’ more pronounced monopsony power over their immigrant workers but also imply that employers profit from discriminating against immigrants.
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Private Equity, Jobs, and Productivity
Steven J. Davis, John Haltiwanger, Kyle Handley, Ron S. Jarmin, Josh Lerner, Javier Miranda
American Economic Review,
No. 12,
2014
Abstract
Private equity critics claim that leveraged buyouts bring huge job losses and few gains in operating performance. To evaluate these claims, we construct and analyze a new dataset that covers US buyouts from 1980 to 2005. We track 3,200 target firms and their 150,000 establishments before and after acquisition, comparing to controls defined by industry, size, age, and prior growth. Buyouts lead to modest net job losses but large increases in gross job creation and destruction. Buyouts also bring TFP gains at target firms, mainly through accelerated exit of less productive establishments and greater entry of highly productive ones.
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The Structure and Evolution of Intersectoral Technological Complementarity in R&D in Germany from 1990 to 2011
Matthias Brachert, T. Broekel
Abstract
Technological complementarity is argued to be a crucial element for effective Research and Development (R&D) collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis.
The results illustrate sectors being complements both from a dyadic and portfolio/ network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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