HEDGING WITH ENERGY

In the setting of diffusion models for price evolution, we suggest an easily implementable approximate evaluation formula for measuring the errors in option pricing and hedging due to volatility misspecification. The main tool we use in this paper is a (suitably modified) classical inequality for the L ² norm of the solution, and the derivatives of the solution, of a partial differential equation (the so-called "energy" inequality). This result allows us to give bounds on the errors implied by the use of approximate models for option valuation and hedging and can be used to justify formally some "folk" belief about the robustness of the Black and Scholes model. Surprisingly enough, the result can also be applied to improve pricing and hedging with an approximate model. When statistical or a priori information is available on the "true" volatility, the error measure given by the energy inequality can be minimized w.r.t. the parameters of the approximating model. The method suggested in this paper can help in conjugating statistical estimation of the volatility function derived from flexible but computationally cumbersome statistical models, with the use of analytically tractable approximate models calibrated using error estimates.     

'Biological' revolution and strategies for innovation in pharmaceutical companies

Fundamental advances in the life sciences are exerting a profound influence on the structure of the pharmaceutical industry and the strategies of drug companies. The 'biological' revolution makes it possible to apply a scientific method to drug research. This paper argues that pharmaceutical companies can take advantage of the new method only if they encourage 'openness' of their research. We also offer a framework to explain why innovations in this industry increasingly result from networks of agents with complementary skills and resources. Greater use of scientific knowledge implies that important information for innovation can be expressed in relatively general and universal forms. This eases information exchange, and encourages specialisation and division of labour in drug R&D and marketing. Finally, the possibility of a division of labour in innovation opens new opportunities for medium-sized national pharmaceutical firms in Europe. Provided that they found their strategies on high-quality research in specialised niches, they can set up alliances with partners that possess complementary knowledge, and supply resources for clinical development and international marketing.     

RELATIONAL GOODS, MONITORING AND NON-PECUNIARY COMPENSATIONS IN THE NONPROFIT SECTOR: THE CASE OF THE ITALIAN SOCIAL SERVICES

ABSTRACT ** :  This paper investigates the nonprofit wage gap suggesting a theoretical framework where, like in Akerlof (1984) , effort correlates not only with wages, but also with non-monetary compensations. These take the form of relational goods by-produced in the delivery of particular services. By paying higher non-pecuniary compensations, the nonprofit sector attracts intrinsically similarly skilled, but more motivated workers, able to provide in fact a similar (or potentially higher) level of effort than their counterparts in the forprofit sector. On an empirical ground, the paper provides a number of econometric tests that confirm the main predictions of the model in Italy's case. It adds to the available empirical literature by introducing in the analysis direct measures of non-pecuniary compensations and job satisfaction.     

Banking Competition and SMEs Bank Financing. Evidence from the Italian Provinces

This work investigates whether local differences in banking competition impact on the amount of bank debt used by Italian small and medium sized manufacturing firms. Sample selection and Double Hurdle models are adopted as the process, which results in the choice of bank financing may differ from that determining its amount. Our main finding is that more competitive banking markets seem to be associated with relatively higher usage of bank debt by less transparent firms. On the other hand, a higher banking competition seems to have no effect on the probability of receiving bank loans.

Economy-wide Estimates of the Implications of Climate Change: Sea Level Rise

The economy-wide implications of sea level rise in 2050 are estimated using a static computable general equilibrium model. This allows for a better estimate of the welfare effects of sea level rise than the common direct cost estimates; and for an estimate of the impact of sea level rise on greenhouse gas emissions. Overall, general equilibrium effects increase the welfare costs of sea level rise, but not necessarily in every sector or region. In the absence of coastal protection, economies that rely most on agriculture are hit hardest. Although energy is substituted for land, overall energy consumption falls with the shrinking economy, hurting energy exporters. With full coastal protection, GDP increases, particularly in regions with substantial dike building, but utility falls, least in regions that protect their coasts and export energy. Energy prices rise and energy consumption falls. The costs of full protection exceed the costs of losing land. The results also show direct costs – the usual method for estimating welfare changes due to sea level rise – are a bad approximation of the general equilibrium welfare effects; previous estimates of the economic impact of sea level rise are therefore biased.      

The Impact of Racial Discrimination on the Early Career Outcomes of Young Men

The NLSY dataset is utilized to measure the extent of employer wage discrimination between white and black males during their first 5 years of post-school employment. We look at the respondent’s first job and the jobs 1 and 5 years after school completion. Oaxaca wage decompositions are employed to gauge the effect of discrimination. Consistent with our hypothesis, we find that the discrimination component of the wage gap falls over time. For the first job out of school the unexplained wage gap between blacks and whites is 35%. By year 5, the unexplained component falls to about 13%. Thus, while discrimination continues to play a role in explaining the white–black wage gap over time, its impact decreases as time in the labor market increases.