Endorse or Not to Endorse: Understanding the Determinants of Newspapers’ Likelihood of Making Political Recommendations

This article investigates the determinants of newspapers’ provision for political opinion. I empirically examine the role of newspapers’ political preferences and market competition on newspapers’ decision to make endorsements. Regression results suggest that market competition turns newspapers more likely to make endorsements. Results from a simple model show that newspapers’ ideology determine their endorsements, making partisan papers more likely to make political recommendations and endorse challengers than non‐partisan newspapers.     

A Value at Risk Approach to Background Risk

This paper studies the effects of an uninsurable background risk (BR) on the demand for insurance (proportional and with deductible). We study both the case of BR uncorrelated with the insurable one and the perfectly correlated one, in a Gaussian world. In order to perform our study, we exploit the new risk measure known as Value at Risk (VaR) and consider insurance contracts which are Mean-VaR efficient. We obtain results which depend on the parameters (moments) of both risks and on the magnitude of loadings charged by the insurance company, instead of depending on the risk attitudes of the insured, such as risk aversion and prudence.We demonstrate that, if loadings are not too high, the demand for insurance increases with positively correlated BR; it decreases with BR negatively correlated if the latter is less risky than the insurable one (in this case it can even go to zero, if loadings are too high); it goes to zero with BR which is negatively correlated and more risky than the insurable one.     

Quasi‐Nationalisation in the UK Banking Crisis: A Problematic Policy Option

The systemic banking crisis in 2008 led to the quasi‐nationalisation of two UK listed banks: The Royal Bank of Scotland and Lloyds Banking Group (National Audit Office, 2010). Using property rights and agency theory as the theoretical frameworks, this paper analyses whether the quasi‐nationalisation of these banks has been successful. It is argued that as a rescue mechanism, quasi‐nationalisation was a positive development. However, questions arise over its effect as an instrument of banking reform. The State's arm's length approach to management represents a lost opportunity to change the culture of profitability over people that contributed to the banking crisis.     

On the short-time behavior of the implied volatility for jump-diffusion models with stochastic volatility

In this paper we use Malliavin calculus techniques to obtain an expression for the short-time behavior of the at-the-money implied volatility skew for a generalization of the Bates model, where the volatility does not need to be a diffusion or a Markov process, as the examples in Sect. 7 show. This expression depends on the derivative of the volatility in the sense of Malliavin calculus. E. Alòs’ research is supported by grants MEC FEDER MTM 2006 06427 and SEJ2006-13537. J.A. León’s research is partially supported by the CONACyT grant 45684-F. J. Vives’ research is supported by grant MEC FEDER MTM 2006 06427.     

Sources, uses, and forms of data in the new product development process

This paper presents qualitative and exploratory research investigating the role that managing knowledge and information plays in new product development (NPD). A set of 20 in-depth interviews uncovered eight basic types of information used throughout the NPD process and three general approaches to managing information needed in the NPD process. Although some exemplary companies seem to do an outstanding job of collecting and disseminating information, the majority of firms struggle. NPD process automation solutions tackle part of the problem, ignoring nonquantitative data forms and the full picture of information use throughout the entire development process.     

Pricing and Hedging Credit Derivatives with Copulas

In this paper, we apply a copula function pricing technique to the evaluation of credit derivatives, namely a vulnerable default put option and a credit switch. Also in this case, copulas enable one to separate the specification of marginal default probabilities from their dependence structure. Their use is based here on no–arbitrage arguments, which provide pricing bounds and easy–to–implement super–replication strategies.
At a second stage, we specify the copula function to be a mixture one. In this case, we obtain closed form prices and hedges, which we calibrate on real market data. For the sake of comparison, we add a Clayton calibration.
(J.E.L: G11, G12).     

Spatial stochastic frontier models: controlling spatial global and local heterogeneity

In the last decade special attention has been focused on estimating a firm’s efficiency and productivity; Stochastic Frontier Analysis (SFA) has been one of the most used techniques that allows the separation of inefficiency from stochastic noise, assuming homogeneous technology is available to all producers and that there is independence between observations. However, this second assumption is violated data are spatial auto-correlated, thus biasing statistical inference. Attention has, therefore, shifted to models that allow the controlling of heterogeneity introducing, in the model or in the error term, contextual variables correlated with inefficiency. In our paper we propose viewing the spatial external factors (natural or artificial) in a new way: instead of identifying ex-ante a multitude of determinants, often statistically and economically difficult to detect, we suggested using an original methodology that, following a classical SFA approach, splits efficiency into three components: the first one is linked to the spatial lag, the second one to the DMU’s specificities, and the third to the error term. Finally, we tested our method using simulated data and examined the Italian wine sector, testing the ability to control spatial, global and local heterogeneity.     

Factors of production,productivity, institutions,and development: Evidence from Brazil

The economic growth and development literature emphasizes that investment in technology and physical and human capital is essential for achieving higher levels of development. Political and economic institutions are also relevant in this process. With a sample of 5,503 Brazilian municipalities, this study carries out a development accounting exercise and measures the effects of institutional quality on per capita gross domestic product (GDP), physical capital intensity, human capital stock, and productivity. The empirical results indicate that institutional quality affects GDP per capita mainly through human capital accumulation and total factor productivity.     

Firm heterogeneity in productivity across Europe: evidence from multilevel models

This paper analyses the Total Factor Productivity (TFP) heterogeneity of a sample of manufacturing firms operating in seven EU countries (Austria, France, Germany, Hungary, Italy, Spain and the UK). TFP data refer to 2008. The empirical setting is based on the multilevel modeling which provides two main results. Firstly, we show that TFP heterogeneity is largely due to firm-specific features (85% of TFP variability in the empty model). Interestingly, we find that some key-drivers of firm performance (size, family management, group membership, innovations and human capital) are significantly related to TFP, but do not, on the whole, absorb much of firm TFP variance, implying that differences in productivity are due to notable yet unobservable firm characteristics. Secondly, as far the role of localization is concerned, we demonstrate that the country effect is more influential than region effect in explaining individual productivity. Net of the country effect, the localization in different European regions explains about 5% of TFP firm heterogeneity. When considering the case of three individual countries, France, Italy and Spain, location in different regions explains 5.3% of TFP heterogeneity in Italy, while this proportion is lower (3.6%) in France and higher (9.9%) in Spain.