Corporate Venture Capital, Value Creation, and Innovation
Thomas J. Chemmanur, Elena Loutskina, Xuan Tian
Review of Financial Studies,
No. 8,
2014
Abstract
We analyze how corporate venture capital (CVC) differs from independent venture capital (IVC) in nurturing innovation in entrepreneurial firms. We find that CVC-backed firms are more innovative, as measured by their patenting outcome, although they are younger, riskier, and less profitable than IVC-backed firms. Our baseline results continue to hold in a propensity score matching analysis of IPO firms and a difference-in-differences analysis of the universe of VC-backed entrepreneurial firms. We present evidence consistent with two possible underlying mechanisms: CVC's greater industry knowledge due to the technological fit between their parent firms and entrepreneurial firms and CVC's greater tolerance for failure.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay. In a simulated out-of-sample experiment we evaluate the different modelling strategies conditional on the given state of information and depending on the model averaging technique. The proposed approach is computationally simple and can be easily implemented as a nowcasting tool. Finally, this method also allows retracing the driving forces of the forecast and hence enables the interpretability of the forecast outcome.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay.
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Credit Allocation and Value Creation of Banks: The Impact of Relationship Banking in Normal and Crisis-times
Hans Degryse, Steven Ongena
Revue d'économie financière,
No. 106,
2012
Abstract
Cet article passe en revue la littérature sur l’allocation de crédit et la création de valeur par les banques. Il se concentre sur l’activité de banque relationnelle, à savoir le fait qu’une banque et un emprunteur se lancent dans de multiples interactions et que chacun des deux agents s’efforce d’obtenir des informations spécifiques sur l’autre. Il montre comment la banque relationnelle génère des coûts et des bénéfices à la fois pour les entreprises et pour les banques, mais qu’en règle générale, elle est source de valeur pour chacun d’eux. Néanmoins, l’incidence de ce type de relation est en grande partie fonction du contexte économique (période normale ou période de crise). Est aussi abordée la manière dont l’allocation de crédit, mesurée par la spécialisation sectorielle, affecte les entreprises et les banques. Enfin, l’examen de la littérature récente en matière de titrisation et de relation bancaire permet de mettre en évidence la manière dont la titrisation affecte les effets de la banque relationnelle.
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Board Connections and M&A Transactions
Ye Cai, Merih Sevilir
Journal of Financial Economics,
No. 2,
2012
Abstract
We examine M&A transactions between firms with current board connections and find that acquirers obtain higher announcement returns in transactions with a first-degree connection where the acquirer and the target share a common director. Acquirer returns are also higher in transactions with a second-degree connection where one acquirer director and one target director serve on the same third board. Our results suggest that first-degree connections benefit acquirers with lower takeover premiums while second-degree connections benefit acquirers with greater value creation. Overall, we provide new evidence that board connectedness plays important roles in corporate investments and leads to greater value creation.
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Mergers, Spinoffs, and Employee Incentives
Paolo Fulghieri, Merih Sevilir
Review of Financial Studies,
No. 7,
2011
Abstract
This article studies mergers between competing firms and shows that while such mergers reduce the level of product market competition, they may have an adverse effect on employee incentives to innovate. In industries where value creation depends on innovation and development of new products, mergers are likely to be inefficient even though they increase the market power of the post-merger firm. In such industries, a stand-alone structure where independent firms compete both in the product market and in the market for employee human capital leads to a greater profitability. Furthermore, our analysis shows that multidivisional firms can improve employee incentives and increase firm value by reducing firm size through a spinoff transaction, although doing so eliminates the economies of scale advantage of being a larger firm and the benefits of operating an internal capital market within the firm. Finally, our article suggests that established firms can benefit from creating their own competition in the product and labor markets by accommodating new firm entry, and the desire to do so is greater at the intermediate stages of industry/product development.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)
Mirko Titze, Matthias Brachert, Alexander Kubis
Regional Studies,
No. 1,
2011
Abstract
The 'cluster theory' has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most empirical applications focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of minimal flow analysis (MFA). The regionalization of these national industry templates is carried out with the allocation of branch-specific production values on regional employment. As a result, the paper shows concentrations of vertical clusters in only 27 of 439 German Nomenclature des Units Territoriales Statistiques (NUTS)-3 regions.
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Market Concentration and Innovation in Transnational Corporations: Evidence from Foreign Affiliates in Central and Eastern Europe
Liviu Voinea, Johannes Stephan
Research on Knowledge, Innovation and Internationalization (Progress in International Business Research, Volume 4),
2009
Abstract
Purpose – The main research question of this contribution is whether local market concentration influences R&D and innovation activities of foreign affiliates of transnational companies.
Methodology/approach – We focus on transition economies and use discriminant function analysis to investigate differences in the innovation activity of foreign affiliates operating in concentrated markets, compared to firms operating in nonconcentrated markets. The database consists of the results of a questionnaire administered to a representative sample of foreign affiliates in a selection of five transition economies.
Findings – We find that foreign affiliates in more concentrated markets, when compared to foreign affiliates in less concentrated markets, export more to their own foreign investor's network, do more basic and applied research, use more of the existing technology already incorporated in the products of their own foreign investor's network, do less process innovation, and acquire less knowledge from abroad.
Research limitations/implications – The results may be specific to transition economies only.
Practical implications – The main implications of these results are that host country market concentration stimulates intranetwork knowledge diffusion (with a risk of transfer pricing), while more intense competition stimulates knowledge creation (at least as far as process innovation is concerned) and knowledge absorption from outside the affiliates' own network. Policy makers should focus their support policies on companies in more competitive sectors, as they are more likely to transfer new technologies.
Originality/value – It contributes to the literature on the relationship between market concentration and innovation, based on a unique survey database of foreign affiliates of transnational corporations operating in Eastern Europe.
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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis
Mirko Titze, Matthias Brachert, Alexander Kubis
IWH Discussion Papers,
No. 13,
2008
Abstract
The ‘cluster theory’ has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most studies focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations within a value-adding chain is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of Minimal Flow Analysis by Schnabl (1994). The regionalization of these national industry templates is carried out with the allocation of branch-specific production values on regional employment. As a result, the paper shows concentrations of vertical clusters in only 27 of 439 German NUTS-3 regions.
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