Option spanning with exogenous information structure

Supplementing a finite state-space static securities market with options written on an injective claim obtains market completeness. This study concludes that options maintain this spanning property in the infinite state-space static securities market models of interest in the extant literature. In addition, underlyers for which options bring about market completeness are shown to be dense.     

Predictive density estimators for daily volatility based on the use of realized measures

The main objective of this paper is to propose a feasible, model free estimator of the predictive density of integrated volatility. In this sense, we extend recent papers by Andersen et al. [Andersen, T.G., Bollerslev, T., Diebold, F.X., Labys, P., 2003. Modelling and forecasting realized volatility. Econometrica 71, 579–626], and by Andersen et al. [Andersen, T.G., Bollerslev, T., Meddahi, N., 2004. Analytic evaluation of volatility forecasts. International Economic Review 45, 1079–1110; Andersen, T.G., Bollerslev, T., Meddahi, N., 2005. Correcting the errors: Volatility forecast evaluation using high frequency data and realized volatilities. Econometrica 73, 279–296], who address the issue of pointwise prediction of volatility via ARMA models, based on the use of realized volatility. Our approach is to use a realized volatility measure to construct a non-parametric (kernel) estimator of the predictive density of daily volatility. We show that, by choosing an appropriate realized measure, one can achieve consistent estimation, even in the presence of jumps and microstructure noise in prices. More precisely, we establish that four well known realized measures, i.e. realized volatility, bipower variation, and two measures robust to microstructure noise, satisfy the conditions required for the uniform consistency of our estimator. Furthermore, we outline an alternative simulation based approach to predictive density construction. Finally, we carry out a simulation experiment in order to assess the accuracy of our estimators, and provide an empirical illustration that underscores the importance of using microstructure robust measures when using high frequency data.     

Agricultural market integration in the OECD: A gravity-border effect approach

This paper uses the border effect estimate from a gravity model to assess the level of agricultural market trade integration among 22 OECD countries for the 1994–2003 period. Empirical analysis confirms that the use of a gravity equation derived from theory, in the estimation of border effect, matters. A representative estimate of the border effect shows that crossing a national border within the OECD induces an average trade-reduction effect of a factor 13. This average value masks differences that are quite substantial in market integration, with value for intra-EU trade being higher while that for trade between the Central and Eastern European Countries (CEECs) is lower. The data show a process of strong integration in all the country-trade combinations involving CEECs. However, quite surprisingly, the intra-CEEC and OECD-CEEC integration processes are almost twice as strong as those in the EU-CEEC combination. Finally, the equivalent tariffs implied by the estimated border effects are not implausible compared to the actual range of direct protection measures.     

Macroeconomic conditions and well-being: do social interactions matter?

We investigate the role played by social interactions in the transmission of the effects of macroeconomic conditions on well-being. Using survey data for a representative sample of Italian individuals, we find that social interactions play a dual role. On the one hand, the well-being of people who spend more time with their friends or go out more often is less sensitive to macroeconomic fluctuations. On the other hand, social interactions are negatively affected by worsening macroeconomic conditions, thus playing a relevant role in the transmission of macroeconomic shocks to subjective well-being. More specifically, the negative impact of downturns on the frequency of going out and active participation in associations significantly contributes to the adverse effects of recessions on satisfaction with life and with individual life domains.     

Local variety and innovation performance in the EU textile and clothing industry

ABSTRACT

A large body of the literature showed that related variety at local level is more relevant than unrelated variety for explaining the innovation performance of firms. Knowledge relatedness is usually measured by considering activities within the same industry (i.e. the same two-digit code) while activities in different industries are associated with unrelated variety. This approach is challenged by the increasing relevance of transversal technologies, i.e. technologies that are developed and applied in rather different sectors. As a result, between industry variety (i.e. unrelated variety) is expected to be more important than within industry variety (i.e. related variety). We test this hypothesis by examining the innovation activities of firms in the textile and clothing industry. The innovation model of these firms is characterized by low investment in R&D, little capabilities for autonomous innovation and dependence from knowledge suppliers belonging to different sectors. The empirical analysis, carried out over the 1996–2014 period at the EU NUTS2 level, shows that between industry variety has a greater impact than within industry variety for the innovative performance of firms.