A model of the Italian cut-off system for taxing small businesses

The Studi di Settore are used by the Italian tax administration to calculate reference revenue levels for small businesses and provide a kind of cut-off level for tax audits. Recently new rules have been introduced in order to render the Studi di Settore more efficient in producing realistic estimates, with the aim of reducing the “legalized evasion” that might arise in case of a systematic downward bias. Voices of the involved categories, however, convinced the Government to partially step back. Building upon the standard firm’s tax evasion model of Cowell [Cowell, F.A., 2004. Carrots and sticks in enforcement. In: Aaron, H.J., Slemrod, J. (Eds.), The Crisis in Tax Administration. The Brookings Institution, Washington DC, pp. 230–275] and the approach of Santoro [Santoro, A.C., 2006. Evasione delle società di capitali: evidenze empiriche e proposte di policy. In: Brosio, G., Muraro, M. (Eds.), Il Finanziamento del Settore Pubblico. SIEP, Angeli, Milano, pp. 163–186] we show that, under given conditions, a stringency increase might backfire implying a larger overall tax evasion and a smaller tax revenue.     

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.      

Accurate Short-Term Yield Curve Forecasting using Functional Gradient Descent

We propose a multivariate nonparametric technique for generatingreliable short-term historical yield curve scenarios and confidenceintervals. The approach is based on a Functional Gradient Descent(FGD) estimation of the conditional mean vector and covariancematrix of a multivariate interest rate series. It is computationallyfeasible in large dimensions and it can account for nonlinearitiesin the dependence of interest rates at all available maturities.Based on FGD we apply filtered historical simulation to computereliable out-of-sample yield curve scenarios and confidenceintervals. We back-test our methodology on daily USD bond datafor forecasting horizons from 1 to 10 days. Based on severalstatistical performance measures we find significant evidenceof a higher predictive power of our method when compared toscenarios generating techniques based on (i) factor analysis,(ii) a multivariate CCC-GARCH model, or (iii) an exponentialsmoothing covariances estimator as in the RiskMetrics^TM approach.     

Why Do Companies Go Public? An Empirical Analysis

Using a large database of private firms in Italy, we analyze the determinants of initial public offerings (IPOs) by comparing the ex ante and ex post characteristics of IPOs with those of private firms. The likelihood of an IPO is increasing in the company's size and the industry's market-to-book ratio. Companies appear to go public not to finance future investments and growth, but to rebalance their accounts after high investment and growth. IPOs are also followed by lower cost of credit and increased turnover in control.     

Form of Ownership and Financial Constraints:Panel Data Evidence From Flow of Funds and Investment Equations

This paper analyzes the effects of the form of ownership on the substitutability between internal and external sources of finance in Italy. In particular, we test whether financial constraints are more severe for independent firms compared to members of large national business groups and subsidiaries of foreign multinational corporations. The results obtained from flow of funds and investment equations estimated for a panel of Italian companies imply that independent firms face more severe financial constraints. In fact, not only members of national groups and subsidiaries of multinational corporations find it easier to substitute cash flow with external finance when the former falls but they do not display excess sensitivity to cash flow and debt in their investment decisions.     

The time-varying independence of Italian peak judicial institutions

The paper investigates the stability of the degree of independence of the judiciary vis à vis both the classical political branches and other independent institutions, such as regulatory agencies, using evidence about the Italian Constitutional Court and the Council of State. Both peak judicial courts feature time varying factors of independence that affect their jurisprudence, especially in the case of the legitimacy review by the Constitutional Court. The less conclusive evidence found in the Council of State related to decisions of independent regulatory authorities might be due to the more complex set of interactions in which the Council operates.     

Global slack and domestic inflation rates: A structural investigation for G-7 countries

Recent papers have argued that one implication of globalization is that domestic inflation rates may have now become more a function of “global”, rather than domestic, economic conditions, as postulated by closed-economy Phillips curves.This paper aims to assess the empirical importance of global output in determining domestic inflation rates by estimating a structural model for a sample of G-7 economies. The model can capture the potential effects of global output fluctuations on both the aggregate supply and the aggregate demand relations in the economy and it is estimated using full-information Bayesian methods.The empirical results reveal a significant effect of global output on aggregate demand in most countries. Through this channel, global economic conditions can indirectly affect inflation. The results, instead, do not seem to provide evidence in favor of altering domestic Phillips curves to include global slack as an additional driving variable for inflation.     

Forecasting and turning point predictions in a Bayesian panel VAR model

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model, which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for hierarchical and for Minnesota-type priors. Formulas for multistep, multiunit point and average forecasts are provided. An application to the problem of forecasting the growth rate of output and of predicting turning points in the G-7 illustrates the approach. A comparison with alternative forecasting methods is also provided.     

When income differences hurt or excite: The nonlinear effect of regional inequality on subjective wellbeing

Combining information from the European Union Statistics on Income and Living Conditions and the European Social Survey, we investigate the relationship between subjective well-being and income inequality using regional inequality indicators and individual data. We assume that inequality aversion and perception of social mobility affect the impact of regional inequality on subjective well-being in opposite directions. We find evidence of an inverse U-shaped effect of inequality, where inequality starts to have a positive effect on subjective well-being that becomes negative with a switch point before the average of the Gini index for the entire sample. The rationale for our nonlinear finding is that Hirschman's tunnel effect (and the positive effect of perceived social mobility) prevails for low levels of inequality, while inequality aversion and negative relative income effects are relatively stronger when inequality is higher. Robustness checks on different sample splits are consistent with the hypothesis of the two drivers.