Multinational firms, international trade and international telecommunications

The study analyses the determinants of international telephone, telex, telegram and leased lines communication between the United States and 46 countries. It focusses on the role of multinational firms, international trading firms and new information technologies within the framework of the theory of transaction costs.Results of the econometric estimates suggest that: (a) technological conditions of telecommunication infrastructure, i.e., international diffusion lags of new information technologies, play an important role in the explanation of international telephone and telex telecommunication flows but not in the demand for telegraph and leased lines, (b) multinational firms use international telecommunication to reduce the coordination costs and are strong customers of leased lines and telephones, but less so of telex and telegrams, (c) international trading firms exhibit less clear preferences in the use of the different media to reduce transaction costs.     

The rise of cost accounting: evidence from Italy

Accounting historians link the origins of cost accounting to the rise of manufacturing firms and, in a more detailed way, to efficiency control, pricing and decision-making problems faced in those organizations. To date, the international debate has mainly focused on practices in the USA, Great Britain and France, with little evidence available of developments in other countries, such as Italy. In this paper, the authors analyse the development of cost accounting in an Italian firm, 'La Magona d'Italia'. This iron, steel and tinplate firm, situated in Piombino, is observed over the period 1865-1940, i.e. during the central phase of the industrial revolution in Italy. We find that several factors influenced the implementation of a cost accounting system at Magona, including efficiency control, strategic decision making, and stock valuation. We also find a strong British influence on Magona's strategy, organization and information system, particularly in respect of finance, managers, technology and accounting practices. There is little evidence that Italian accounting traditions and practice played much of a role.     

Technological knowledge as an essential facility

The economics of regulation has articulated the notions of essential facility and mandated interconnection. Their application to the governance of technological knowledge can be fruitful especially when implemented by the adoption of a compensatory liability rule and the parallel reduction in the exclusivity of patents. Because knowledge is at the same time an output and an input in the production of new knowledge, exclusivity, traditionally associated to patents, is the cause of actual knowledge rationing with major drawbacks in terms of both static and dynamic efficiency. This institutional innovation can improve the governance of technological knowledge and increase both its rates of dissemination and generation.

Complexity and technological change: knowledge interactions and firm level total factor productivity

The analysis of social interactions as drivers of economic dynamics represents a growing field within the economics of complexity. Social interactions are a specific form of interdependence whereby the changes in the behavior of other agents affect utility functions for households and production functions for producers. In this paper, we apply the general concept of social interactions to the area of the economics of innovation and we articulate the view that knowledge interactions play a central role in the generation of new technological knowledge so that innovation becomes the emergent property of a system, rather than the product of individual actions. In particular, we articulate and test the hypothesis that different layers of knowledge interactions play a crucial role in determining the rate of technological change that each firm is able to introduce. The paper presents an empirical analysis of firm level total factor productivity (TFP) for a sample of 7,020 Italian manufacturing companies observed during the years 1996–2005. This will enable us to identify the distinctive role of regional, inter-industrial and localized intra-industrial knowledge interactions as distinctive and significant determinants, together with internal research and innovation efforts, of changes in firm level TFP.     

Technological districts localized spillovers and productivity growth. The Italian evidence on technological externalities in the core regions

Technological R&D externalities are the effects on the technological capacity of each firm stemming from the complementary and interrelated activities of R&D activities of other firms that operate both in the same industry and in other industries. R&D technological externalities are specially influential at the regional level. Regional proximity enhances the circulation of information, the opportunities for external learning; the scope for capitalizing on potential complementarities among the variety of firms and the different R&D activities being carried out by each firm, and the opportunity for technological networking. The empirical evidence on core regions in Italy in the 1980s confirms that regional clustering of complementary and interrelated R&D activities facilitated the emergence of technological districts. Firms located within technological districts benefited enormously from the R&D technological externalities spilling out from the complementary and interrelated R&D activities of other firms localized in the same area. Consequently, firms localized within technological districts had fast rates of introduction of technological innovations which, in turn, made it possible for total factor productivity levels to be raised with comparatively low levels of intra-muros R&D expenses.     

Consumption optimization for recursive utility in a jump-diffusion model

In this paper, we consider a market model with prices and consumption following a jump-diffusion dynamics. In this setting, we first characterize the optimal consumption plan for an investor with recursive stochastic differential utility on the basis of his/her own beliefs, then we solve the inverse problem to find what beliefs make a given consumption plan optimal. The problem is viewed in general for a class of homogeneous recursive utility, and later we choose a logarithmic model for the utility aggregator as an explicitly computable example. When beliefs, represented via Girsanov’s theorem, get incorporated into the model, the change of measure gives rise, up to a transformation, to a backward stochastic differential equation whose generator exhibits a quadratic behavior in the Brownian component and a locally Lipschitz one in the jump component, which is solvable on the basis of some recent results.     

The coskewness puzzle

We propose a novel approach to testing non-linear stochastic discount factor (SDF) specifications that arise in rational representative investor models. Our approach does not require overly-restrictive assumptions about the shape of investors’ preferences, typically imposed by the extant literature, and is based instead on restrictions that rule out “good deals”, i.e., arbitrage opportunities as well as unduly large Sharpe ratios. We apply this framework to test the empirical admissibility of 3 and 4-moment versions of the CAPM. We find that, while coskewness and cokurtosis risk help price a number of stock strategies and portfolios, including static strategies based on a fine industry-level diversification, momentum strategies and portfolios managed on the basis of available information, the CAPM and its 3 and 4-moment versions cannot provide an exhaustive account of observed asset returns.     

Pricing options under stochastic volatility: a power series approach

In this paper we present a new approach for solving the pricing equations (PDEs) of European call options for very general stochastic volatility models, including the Stein and Stein, the Hull and White, and the Heston models as particular cases. The main idea is to express the price in terms of a power series of the correlation parameter between the processes driving the dynamics of the price and of the volatility. The expansion is done around correlation zero and each term is identified via a probabilistic expression. It is shown that the power series converges with positive radius under some regularity conditions. Besides, we propose (as in Alós in Finance Stoch. 10:353–365, 2006) a further approximation to make the terms of the series easily computable and we estimate the error we commit. Finally we apply our methodology to some well-known financial models.      

The Organization of Production

The organization of production depends on both technical and governance factors. The integration of recent advances in cost theory into production theory makes it easier to appreciate the joint effects of transaction and coordination costs interacting with wages and capital costs in the decision-making of firms. The corporate function, integrating the production function and the governance function, facilitates the joint analysis of the full array of factors including the effects of interrelatedness and complementarities of new technologies and of pecuniary economies of scale. The corporate function and pecuniary economies of scale also provide new elements in the understanding of the ever present variety of firms in industrial structures and the role of historic time in the theory of the firm.