Are In‐House and Outsourcing Innovation Strategies Correlated? Evidence from the European Agri‐Food Sector

We analyse European agri‐food firms’ choices about innovation in‐house or through outsourcing and provide empirical evidence about the correlation between these strategies. The relationship between the innovation strategy and firm‐, industry‐ and innovation‐specific characteristics is analysed through a bivariate probit model, which uses firm data from the EFIGE Bruegel‐UniCredit dataset. Transaction cost, resource base and knowledge governance arguments are used to explain the choice of innovation strategy. Our results show that the decisions to innovate in‐house or through outsourcing are independent from each other. In addition, we find that several organisational characteristics such as communication systems, human resource practices and specialisation are likely to influence both strategies. Conversely, organisational characteristics such as the allocation of authority and the business network do not seem relevant in determining the innovation strategies of the European agri‐food sector.     

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.