FINANCIAL AND LEGAL CONSTRAINTS TO FIRM GROWTH: THA CASE OF ITALY

The aim of this study is to confirm empirically the implications of the theory about the law-finance-growth nexus. In order to verify the predictions of the theory, a panel data including three different types of data is used. All the data are referred to Italian provinces. The empirical analysis shows that between firms’ growth and financial development there is a first-order relationship, while between firms’ growth and legal enforcement as measured by the efficiency of the judicial system there is a second-order relationship.enforcement, judicial efficiency, financial development, firm’s growth

Toward a new paradigm in open economy modeling: where do we stand?

This paper provides a selective, up-to-date survey of the recent, fast-growing literature on new open economy macroeconomics. Lucio Sarno begins with a review of the seminal paper in this literature, describing the baseline model proposed therein. He then covers a number of variants and generalizations of the baseline model involving the allowance for nominal rigidities, pricing to market, alternative preference specifications, and alternative financial markets structures. The author also discusses the recent stochastic extensions of these models, especially focusing on their implications for the link between risk and exchange rates and on new directions for the relevant literature.Econometric models ; Macroeconomics

A statistical mechanical approach for the computation of the climatic response to general forcings

The climate belongs to the class of non-equilibrium forced and dissipative systems, for which most results of quasi-equilibrium statistical mechanics, including the fluctuation-dissipation theorem, do not apply. In this paper we show for the first time how the Ruelle linear response theory, developed for studying rigorously the impact of perturbations on general observables of non-equilibrium statistical mechanical systems, can be applied with great success to analyze the climatic response to general forcings. The crucial value of the Ruelle theory lies in the fact that it allows to compute the response of the system in terms of expectation values of explicit and computable functions of the phase space averaged over the invariant measure of the unperturbed state. We choose as test bed a classical version of the Lorenz 96 model, which, in spite of its simplicity, has a well-recognized prototypical value as it is a spatially extended one-dimensional model and presents the basic ingredients, such as dissipation, advection and the presence of an external forcing, of the actual atmosphere. We recapitulate the main aspects of the general response theory and propose some new general results. We then analyze the frequency dependence of the response of both local and global observables to perturbations having localized as well as global spatial patterns. We derive analytically several properties of the corresponding susceptibilities, such as asymptotic behavior, validity of Kramers-Kronig relations, and sum rules, whose main ingredient is the causality principle. We show that all the coefficients of the leading asymptotic expansions as well as the integral constraints can be written as linear function of parameters that describe the unperturbed properties of the system, such as its average energy. Some newly obtained empirical closure equations for such parameters allow to define such properties as an explicit function of the unperturbed forcing parameter alone for a general class of chaotic Lorenz 96 models. We then verify the theoretical predictions from the outputs of the simulations up to a high degree of precision. The theory is used to explain differences in the response of local and global observables, to define the intensive properties of the system, which do not depend on the spatial resolution of the Lorenz 96 model, and to generalize the concept of climate sensitivity to all time scales. We also show how to reconstruct the linear Green function, which maps perturbations of general time patterns into changes in the expectation value of the considered observable for finite as well as infinite time. Finally, we propose a simple yet general methodology to study general Climate Change problems on virtually any time scale by resorting to only well selected simulations, and by taking full advantage of ensemble methods. The specific case of globally averaged surface temperature response to a general pattern of change of the CO2 concentration is discussed. We believe that the proposed approach may constitute a mathematically rigorous and practically very effective way to approach the problem of climate sensitivity, climate prediction, and climate change from a radically new perspective

Mean reversion in stock index futures markets: a nonlinear analysis

Several stylized theoretical models of futures basis behavior under nonzero transactions costs predict nonlinear mean reversion of the futures basis towards its equilibrium value. Nonlinearly mean-reverting models are employed to characterize the basis of the SandP 500 and the FTSE 100 indices over the post-1987 crash period, capturing empirically these theoretical predictions and examining the view that the degree of mean reversion in the basis is a function of the size of the deviation from equilibrium. The estimated half lives of basis shocks, obtained using Monte Carlo integration methods, suggest that for smaller shocks to the basis level the basis displays substantial persistence, while for larger shocks the basis exhibits highly nonlinear mean reversion towards its equilibrium value. © 2002 Wiley Periodicals, Inc

Real exchange rate dynamics in transition economies : a nonlinear analysis

We examine the behavior of the real exchange rates of nine transition economies during the 1990s. We propose an empirical model rationalized on the basis of standard economic models in the tradition of Mundell-Fleming-Dornbusch and Harrod-Balassa-Samuelson, allowing explicitly for real interest rate differentials and (implicitly) for productivity differentials to have an impact on real exchange rate equilibrium and employing nonlinear modeling techniques that are consistent with recently developed economic theories and observed regularities. Using a nonlinear multivariate generalization of the Beveridge-Nelson decomposition applied to our models, we also identify the permanent and temporary components of these real exchange rates implied by our estimates. The results have a natural interpretation and clear policy implications

FIRM’S FINANCING AND INDUSTRIAL STRUCTURE IN THE LESS DEVELOPED REGIONS OF THE SOUTH ITALY

The paper shows that there is a relationship between firm’s financial condition and the industrial specialization model of the Italian Mezzogiorno, that is the least developed area of the country. In order to analyze the financial status of the firms, the approach of the theory of the finance is adopted. The empirical model proposed by the Gibrat law literature is used to produce the estimates of the relationship between firms’ growth and cash flow. Then, the indices measuring the “financial dependence†on the internal finance or the “financial constraints†to the firm growth of the Mezzogiorno’s industries are compared to those of the other Italian regions. Finally, the analysis of the between the emerging financial condition of the firms and both the firm side distribution of the individual industries and the composition of the manufacturing of the South Italy is proposed. Our econometric analyses, carried out on a representative sample of manufacturing firms, confirm that there is a robust relationship between financial status of the firms and the specialisation model of manufacturing of the Italian Mezzogiorno.financial constraints, internal finance, growth-cash flow relationship

The yield curve and the prediction on the business cycle: a VAR analysis for the European Union

The literature on the yield curve deals with the capacity to predict the future inflation and the future real growth from the term structure of the interest rates. The aim of the paper is to verify this predictive power of the yield curve for the European Union at 16 countries in the 1995-2008 years. With this regard we propose two VAR models. The former is derived from the standard approach, the later is an extended version considering explicitly the macroeconomic effects of the risk premium. We propose the estimates of the models and their out-of-sample forecasts through both the European Union GDP (Gross Domestic Product) quarterly series and the European Union IPI (Industrial Production Index) monthly series. We show that the our extended model performs better than the standard model and that the out-of-sample forecasts of the IPI monthly series are better than ones of the GDP quarterly series. Moreover the out-of-sample exercises seems us very useful because they show the crowding out arising from Lehman Brother’s unexpected crash and the becoming next fine tuning process.yield curve, monetary policy, business cycle, risk premium, real growth