Investment–cash flow sensitivities,credit rationing and financing constraints in small and medium-sized firms

The controversy on whether investment–cash flow sensitivity is a good indicator of financing constraints is still unsolved. We apply a comprehensive approach by cross-validating our analysis with both balance sheet and qualitative data on self-declared credit rationing and financing constraints on a sample of mainly small and medium-sized firms. Our qualitative information shows that (self-declared) credit rationing is (weakly) related to both traditional a priori factors—such as firm size, age and location—and lenders’ rational decisions taken on the basis of their credit risk models. We use the qualitative information on firms which were denied (additional) credit to provide evidence relevant to the investment–cash flow sensitivity debate. The evidence shows that self-declared credit rationing significantly discriminates between firms which possess or not such sensitivity, while a priori criteria do not. The same result does not apply when we consider the wider group of financially constrained firms (which do not seem to have a higher investment–cash flow sensitivity), supporting the more recent empirical evidence in this direction.     

Capitalization of R&D costs and earnings management: Evidence from Italian listed companies

The capitalization of research and development (R&D) costs is a controversial accounting issue because of the contention that such capitalization is motivated by incentives to manipulate earnings. Based on a sample of Italian listed companies, this study examines whether companies' decisions to capitalize R&D costs are affected by earnings-management motivations. Italy provides a natural context for testing our hypothesized relationships because Italian GAAP allows for the capitalization of R&D costs. Using a Tobit regression model to test our hypotheses, we show that companies tend to use cost capitalization for earnings-smoothing purposes. The hypothesis that firms capitalize R&D costs to reduce the risk of violating debt covenants is not supported.     

On the problem of calibrating an agent based model for financial markets

Agent based models are very widely used in different disciplines. In financial markets, they can be used to explain well known features called stylised facts and fit statistical properties of data. For this reason, they can model price movements better than standard models using gaussianity. Calibration and validation are essential issues in agent-based modeling. However, calibrating such models is not yet sufficiently considered in the literature. In this paper, a Nelder–Mead simplex algorithm coupled with threshold accepting algorithm (Gilli and Winker in Comput Stat Data Anal 42:299–312, 2003) and a genetic algorithm have been implemented to calibrate the model presented by Farmer and Joshi (J Econ Behav Org 49:149–171, 2002) and the outcomes have been compared and discussed. The data used are closing prices of S&P500 Composite index and a particular attention has been devoted to the choice of the objective function.     

Relative performance evaluation in a multi-plant firm

Summary. We analyze optimal compensation schedules for the directors of two plants belonging to the same owner and producing the same good but serving geographically differentiated markets. Since the outcome of each director depends on his own effort and on a random variable representing market conditions, the problem takes the form of a principal multi-agent model. We first provide appropriate extensions of the MLR and CDF conditions that ensure the validity of the first-order approach in the single agent case. Then, we show that affiliation of the random variables is a necessary and sufficient condition for the compensation of one director to negatively and monotonically depend on the performance of the other.Received: 23 July 2004, Revised: 18 February 2005, JEL Classification Numbers: D23, D82.I thank Ray Rees and an anonimous referee for helpuful comments and suggestions. Support from CES (Center for Economic Studies), University of Munich is gratefully aknowledged.     

Is local sourcing out of fashion in the globalization era? Evidence from Italian mechanical industry

The paper concerns a study on the changes affecting leading cluster companies' supplier relationships. In particular, the paper aims at investigating under which conditions and how industrial cluster companies rely on local suppliers in the current context of international competitive pressure and easier access to international supply sources. The research methodology is qualitative and based on a long-term longitudinal research of three case studies of Italian industrial cluster companies that are leading firms in specific niches of the mechanical industry. Two main questions are debated: under which conditions have industrial cluster companies relied on local suppliers? What has been the evolution of relationships between industrial cluster companies and their local suppliers? The empirical analysis shows that local suppliers have been playing strategic roles in different ways in distinct historical phases, contributing actively in terms of knowledge and competence development, production flexibility, delivery performance and cost efficiency.     

Exploiting and creating knowledge through customer–supplier relationships: lessons from a case study

Through an in-depth analysis of a customer–supplier relationship in the information technology market, we illustrate the complexities of vertical coordination processes. We focus on the strategic and organizational criteria that suppliers and customers must design in order to favour interaction between their heterogeneous competencies. In the examined case, the supplier provides general purpose knowledge to be utilized and enriched through the contact with, and fertilization by, application abilities available at the customer level.     

ICT services and small businesses’ productivity gains: An analysis of the adoption of broadband Internet technology

We analyse the impact of the adoption of broadband Internet technology on the productivity performance of small and medium enterprises (SMEs). We distinguish access to the broadband infrastructure from the adoption of complementary services, i.e., different types of broadband software applications. The empirical analysis considers a sample of 799 firms observed from 1998 to 2004 that are representative of the population of Italian SMEs. Our econometric estimates indicate that the impact of the adoption by SMEs of basic broadband applications is negligible (or even negative). Conversely, SMEs are found to benefit from adopting selected advanced broadband applications depending on several contingent factors: (i) their industry of operations (services vs. manufacturing); (ii) the relevance of the specific broadband software applications for SMEs’ industry of operation; and (iii) the undertaking of complementary strategic and organisational changes.     

IMP studies: A bridge between tradition and innovation

“Combining the Social and Technological Aspects of Innovation: Relationships and Networks” was the title of the 28th IMP Conference held in Rome, at Università Cattolica del Sacro Cuore in 2012.     

The Effect of Venture Capital Financing on the Sensitivity to Cash Flow of Firm's Investments

This work studies the effect of venture capital (VC) financing on firms' investments in a longitudinal sample of 379 Italian unlisted new‐technology‐based firms (NTBFs) observed over the 10‐year period from 1994 to 2003. We distinguish the effects of VC financing according to the type of investor: independent VC (IVC) funds and corporate VC (CVC) investors. Previous studies argue that NTBFs are the firms most likely to be financially constrained. The technology‐intensive nature of their activity and their lack of a track record increase adverse selection and moral hazard problems. Moreover, most of their assets are firm‐specific or intangible and hence cannot be pledged as collateral. In accordance with this view, we show that the investment rate of NTBFs is strongly positively correlated with their current cash flows. We also find that after receiving VC financing, NTBFs increase their investment rate independently of the type of VC investor. However, the investments of CVC‐backed firms remain sensitive to shocks in cash flows, whereas IVC‐backed firms exhibit a low and statistically not significant investment–cash flow sensitivity that we interpret as a signal of the removal of financial constraints.