In Search of Concepts: The Effects of Speculative Demand on Stock Returns
Owain ap Gwilym, Iftekhar Hasan, Qingwei Wang, Ru Xie
European Financial Management,
No. 3,
2016
Abstract
Using a novel proxy of investors' speculative demand constructed from online search interest in investment concepts, we examine how speculative demand affects the returns of Chinese stocks. We find that speculative demand increases following high market returns and predicts subsequent return reversals. Moreover, the speculative demand explains more variation in subsequent returns of A shares (more populated by retail investors) than B shares (less populated by retail investors). Our findings support the recently developed attention theory.
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03.12.2015 • 44/2015
Migration Affects Labour Market in Eastern Germany
Migration increasingly affects the labour market in Eastern Germany, having effects on employment and unemployment figures as well as the number of recipients of social assistance benefits under the SGB II regulations. Particularly with countries in Middle and Eastern Europe, countries affected by the European debt and confidence crisis and with people seeking asylum, there are large increases meeting the dimensions in Western Germany. However, migrants overall still form a significantly smaller percentage of the population and other labour market parameters in Eastern Germany, since migration was a lot stronger in Western Germany during the last decades. While on the short run negative effects on unemployment have to be expected, there are also chances, in the medium- and long-term, to soften the expectable demographic problems, if integration and qualification are supported.
Oliver Holtemöller
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Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information
Christiane Baumeister, James D. Hamilton
Econometrica,
No. 5,
2015
Abstract
This paper makes the following original contributions to the literature. (i) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions (VARs) that can be used for models that are overidentified, just‐identified, or underidentified. (ii) We analyze the asymptotic properties of Bayesian inference and show that in the underidentified case, the asymptotic posterior distribution of contemporaneous coefficients in an n‐variable VAR is confined to the set of values that orthogonalize the population variance–covariance matrix of ordinary least squares residuals, with the height of the posterior proportional to the height of the prior at any point within that set. For example, in a bivariate VAR for supply and demand identified solely by sign restrictions, if the population correlation between the VAR residuals is positive, then even if one has available an infinite sample of data, any inference about the demand elasticity is coming exclusively from the prior distribution. (iii) We provide analytical characterizations of the informative prior distributions for impulse‐response functions that are implicit in the traditional sign‐restriction approach to VARs, and we note, as a special case of result (ii), that the influence of these priors does not vanish asymptotically. (iv) We illustrate how Bayesian inference with informative priors can be both a strict generalization and an unambiguous improvement over frequentist inference in just‐identified models. (v) We propose that researchers need to explicitly acknowledge and defend the role of prior beliefs in influencing structural conclusions and we illustrate how this could be done using a simple model of the U.S. labor market.
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On the Trail of Core–periphery Patterns in Innovation Networks: Measurements and New Empirical Findings from the German Laser Industry
Wilfried Ehrenfeld, Toralf Pusch, Muhamed Kudic
Annals of Regional Science,
No. 1,
2015
Abstract
It has been frequently argued that a firm’s location in the core of an industry’s innovation network improves its ability to access information and absorb technological knowledge. The literature has still widely neglected the role of peripheral network positions for innovation processes. In addition to this, little is known about the determinants affecting a peripheral actors’ ability to reach the core. To shed some light on these issues, we have employed a unique longitudinal dataset encompassing the entire population of German laser source manufacturers (LSMs) and laser-related public research organizations (PROs) over a period of more than two decades. The aim of our paper is threefold. First, we analyze the emergence of core–periphery (CP) patterns in the German laser industry. Then, we explore the paths on which LSMs and PROs move from isolated positions toward the core. Finally, we employ non-parametric event history techniques to analyze the extent to which organizational and geographical determinates affect the propensity and timing of network core entries. Our results indicate the emergence and solidification of CP patterns at the overall network level. We also found that the paths on which organizations traverse through the network are characterized by high levels of heterogeneity and volatility. The transition from peripheral to core positions is impacted by organizational characteristics, while an organization’s geographical location does not play a significant role.
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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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Drivers of the Spatial Emergence and Clustering of the Photovoltaic Industry in Germany
M. Breul, T. Broekel, Matthias Brachert
Zeitschrift für Wirtschaftsgeographie,
No. 3,
2015
Abstract
The drivers of the spatial emergence and clustering of the photovoltaic industry in Germany. Following the relatedness literature, we explore to what extent related industries influenced the regional emergence of the photovoltaic (PV) industry. In addition, we shed light on factors explaining selective processes of clustering. We particularly argue that generic resources and resources of related activities have been crucial for the regional concentration in early phases of the industry life cycle. With increasing maturity, industry-specific resources became more important. Based on a unique dataset containing population dynamics of the German PV industry, the hypotheses are tested empirically. Our results partially confirm the assumed beneficial effects of related industries for the emergence of the PV industry. Moreover, we observe changes in the relative importance of factors supporting regional concentration, with industry-specific resources becoming dominant as the industry matures.
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The Development of Cities and Municipalities in Central and Eastern Europe: Introduction for a Special Issue of 'Urban Research and Practice'
Martin T. W. Rosenfeld, Albrecht Kauffmann
Urban Research & Practice, Vol. 7 (3),
No. 3,
2014
Abstract
Since the 1990s, local governments in Central and Eastern European (CEE) countries have been confronted by completely new structures and developments. This came after more than 40 years (or even longer in the case of the former Soviet Union) under a socialist regime and behind an iron curtain which isolated them from the non-socialist world. A lack of resources had led to an underinvestment in the refurbishment of older buildings, while relatively cheap ‘prefabricated’ housing had been built, not only in the outskirts of cities, but also within city centres. A lack of resources had also resulted in the fact that the socialist regimes were generally unable to replace old buildings with ‘modern’ ones; hence, there is a very rich heritage of historical monuments in many of these cities today. The centrally planned economies and the development of urban structures (including the shifts of population between cities and regions) were determined by ideology, political rationality and the integration of all CEE countries into the production schemes of the Council for Mutual Economic Assistance and its division of labour by location. The sudden introduction of a market economy, private property, democratic rules, local autonomy for cities and municipalities and access to the global economy and society may be seen as a kind of ‘natural experiment’. How would these new conditions shape the national systems of cities and municipalities? Which cities would shrink and which would grow? How would the relationship between core cities and their surrounding municipalities develop? And what would happen within these cities and with their built environment?
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The Impact of Local Factors on the Scope of Benefits from Public Investment: The Case of Tourism Infrastructure in Saxon Municipalities
Martin T. W. Rosenfeld, Albrecht Kauffmann
Urban Research & Practice,
No. 3,
2014
Abstract
Following the transition from socialist central planning economies to market economies in all of the former socialist countries, many regions have had to cope with severe structural changes and economic development problems. To overcome these problems, local governments have tried to invest in new public infrastructure to support the development of new industries. This paper looks at infrastructure that supports tourist activities and argues that the impact of infrastructure generally depends on certain local factors which differ between municipalities. One important factor is whether the local population possesses the relevant complementary factors, in particular the right ‘soft skills’.
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Plant-based Bioeconomy in Central Germany - Mapping of Actors, Industries and Places
Wilfried Ehrenfeld, Frieder Kropfhäußer
Abstract
The challenges facing the 21st century, presented by a growing global population, range from food security to sustainable energy supplies to the diminishing availability of fossil raw materials. An attempt to solve these problems is made by using the concept of bioeconomy. Plants, in particular, possess an important function in this context - they can be used either as a source of food or, in the form of biomass, for industrial or energy purposes. Linking industrial and agricultural research and production, bioeconomy provides growth potential, in particular in rural areas.
The aim of this article is therefore to outline the status of plant-based bioeconomy
in three states of Central Germany - Saxony, Saxony-Anhalt and Thuringia - and to compare this to German plant-based bioeconomy. We take an in-depth look at the different sectors and outline the industries involved, the location and age of the enterprises as well as the distribution of important NACE codes. In conclusion, we highlight the significant number of new or small enterprises and the high research and innovation rate of Central Germany. We also stress the future potential of Central German plant-based bioeconomy as well as the importance of a more plant-focusedview of the technology sector.
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