Financial Systems, Industrial Structure, and Growth

How does the development of the financial sector affect industrialgrowth? What effect does it have on the composition of industry,and the size distribution of firms? What is the relative importanceof financial institutions and financial markets, and does itdepend on the stage of economic growth? How do financial systemsdiffer in their vulnerability to crisis? This paper attemptsto provide an answer to these questions based on the currentstate of empirical research.     

Leapfrogging in a Vertical Product Differentiation Model

The model considers a two-period duopoly game where in the first period the leader produces a good with a given quality and the other firm can only imitate it. It is the Stackelberg case where, in addition, the leader has the choice of the quality of the good and the imitation is costly, but not prohibitively so. Under this assumption quantities and profits in terms of the quality are derived as subgame perfect equilibrium. In the second period there exists the possibility for the leader and/or the follower to make an investment. The outcome of this is uncertain: it could either be the case that a good of better quality can be introduced, or that a cost-reduction in producing the existing good is attained. The former case is a product innovation, whereas the latter case is a process innovation. By solving the game backwards as a function of the quality of the first period, there exists the possibility of an equilibrium where the follower chooses to invest and the leader does not invest .     

The Cost of Diversity: The Diversification Discount and Inefficient Investment

We model the distortions that internal power struggles can generate in the allocation of resources between divisions of a diversified firm. The model predicts that if divisions are similar in the level of their resources and opportunities, funds will be transferred from divisions with poor opportunities to divisions with good opportunities. When diversity in resources and opportunities increases, however, resources can flow toward the most inefficient division, leading to more inefficient investment and less valuable firms. We test these predictions on a panel of diversified U.S. firms during the period from 1980 to 1993 and find evidence consistent with them.     

THE MOBILIZATION OF HUMAN RESOURCES AS AN EFFECT OF THE DEPLETION OF ENVIRONMENTAL AND SOCIAL ASSETS

In this paper, the growth process is not fed by the accumulation of productive assets (physical and/or human capital, knowledge etc.), but by the depletion of environmental or social resources, which induces individuals to increase their labor supply in order to consume more of the market goods that substitute for the depleted resources. Hence, production is expanded, thus eroding the resources’ ability to regenerate, which decreases with aggregate production. Within this context, the ‘green’ net national product is derived and it is shown how a regulatory authority should manage the resources for achieving Pareto‐optimality.     

A Note on the Three–Portfolios Matching Problem

A typical problem arising in financial planning for private investors consists in the fact that the initial investor's portfolio, the one determined by the consulting process of the financial institution and the universe of instruments made available to the investor have to be matched/optimised when determining the relevant portfolio choice. We call this problem the three–portfolios matching problem. Clearly, the resulting portfolio selection should be as close as possible to the optimal asset allocation determined by the consulting process of the financial institution. However, the transition from the investor's initial portfolio to the final one is complicated by the presence of transaction costs and some further more specific constraints. Indeed, usually the portfolios under consideration are structured at different aggregation levels, making portfolios comparison and matching more difficult. Further, several investment restrictions have to be satisfied by the final portfolio choice. Finally, the arising portfolio selection process should be sufficiently transparent in order to incorporate the subjective investor's trade–off between the objectives 'optimal portfolio matching' and 'minimal portfolio transition costs'. In this paper, we solve the three–portfolios matching problem analytically for a simplified setting that illustrates the main features of the arising solutions and numerically for the more general situation.     

Non-exchangeability of negatively dependent random variables

We compute the measure of non-exchangeability (with respect to the L ^∞-norm) for a pair of identically distributed continuous random variables that satisfy some negative dependence property, namely quadrant dependence or stochastic decreasingness.