State-price densities under heterogeneous beliefs, the smile effect, and implied risk aversion

It has been widely noted in the empirical literature that state-price densities implicit in financial asset prices are not log-normal. This paper shows that this phenomenon can be caused by heterogeneity in investors’ beliefs. It derives the state-price density under heterogeneous beliefs in closed form and demonstrates that heterogeneous beliefs can give rise to multimodal state-price densities. Consequences for the “smile effect” in implied option volatility and for measures of risk aversion inferred from empirical state-price densities are discussed.     

Measuring Market Power for Food Retail Activities: French Evidence

In this paper we develop and estimate an empirical model of pricing behaviour for food retail firms in both a quantity‐setting oligopoly engaged in the joint production of demand‐related final goods and a quantity‐setting oligopsony for supply‐unrelated wholesale goods. The procedure consists of estimating an inverse demand system for the final goods, single supply functions for the wholesale goods and the retail industry first‐order profit‐maximisation conditions, from which an estimate of the degree of imperfect competition and of oligopoly‐oligopsony power for the different commodities can be retrieved. The model is applied to the French food retail industry and three commodities are distinguished: dairy products, meat products and other food products. We strongly reject the hypothesis that French food retail firms behave competitively, and more than 20 and 17 per cent of the wholesale‐to‐retail price margins for dairy products and meat products, respectively, can be attributed to oligopoly‐oligopsony distortions.     

The ‘Wild Cards’ of European futures: Planning for discontinuities?

The use of Wild Cards has been extensively developed in the corporate world, particularly by companies dealing with strategic commodities in global markets, i.e., the nexus between warfare, oil, and energy use. One of the purposes of Wild Cards is to test the ability of a system - usually a large organisation - to react to unforeseen but high-impact events. The work presented in this article was undertaken in the context of the project on ‘Spatial Scenarios’ for the European Spatial Planning Observation Network (ESPON) Programme. In this project, four Wild Cards were introduced: “an era of energy scarcity”, “the demise of Europe's social security system”, “the gulf stream stops”, and “the dollar goes down the drain”. These Wild Cards were introduced to investigate how external events may have asymmetric impacts across the European territory, to include some reflections on themes that were not included in the integrated scenarios, and to raise awareness of the fact that today's policy choices have to be evaluated not only in the light of current policy goals but also in the light of possible, sometimes dramatic, future events. In this way the Wild Cards helped to highlight the potential impact of external events on the territorial development of Europe and their particular impact on the internal disparities between the regions.     

Estimating Price Elasticities of Food Trade Functions: How Relevant is the CES‐based Gravity Approach?

The main objective of this article is to examine econometric estimates of price elasticities of food trade functions. We investigate the relevance of the prominent gravity approach. This approach is based on the assumptions of symmetric, monotone, homothetic, Constant Elasticity of Substitution (CES) preferences. We test all these assumptions using intra‐European trade in cheese. In general, the assumptions made on preferences by the gravity approach are not supported by our dataset. The bias induced in the estimated price elasticities is ambiguous.     

Mean–variance portfolio selection with ‘at-risk’ constraints and discrete distributions

We examine the impact of adding either a VaR or a CVaR constraint to the mean–variance model when security returns are assumed to have a discrete distribution with finitely many jump points. Three main results are obtained. First, portfolios on the VaR-constrained boundary exhibit (K + 2)-fund separation, where K is the number of states for which the portfolios suffer losses equal to the VaR bound. Second, portfolios on the CVaR-constrained boundary exhibit (K + 3)-fund separation, where K is the number of states for which the portfolios suffer losses equal to their VaRs. Third, an example illustrates that while the VaR of the CVaR-constrained optimal portfolio is close to that of the VaR-constrained optimal portfolio, the CVaR of the former is notably smaller than that of the latter. This result suggests that a CVaR constraint is more effective than a VaR constraint to curtail large losses in the mean–variance model.     

Exchange Rates,Employment and Labour Market Rigidity

In this paper, we study the effect of labour market rigidity on the impact of exchange rate shocks on employment. We use a panel dataset comprising 22 manufacturing sectors across 23 OECD countries. In our econometric model, the impact of exchange rate fluctuations on sectoral employment is mediated by the degree of openness and by a measure of labour market rigidity: the OECD's employment protection legislation (EPL) index. Our results suggest that greater labour market rigidity reduces the impact of exchange rate shocks on employment. This effect is statistically significant for low‐technology sectors.     

Robust portfolio estimation under skew-normal return processes

In this paper, we study issues related to the optimal portfolio estimators and the local asymptotic normality (LAN) of the return process under the assumption that the return process has an infinite moving average (MA) (∞) representation with skew-normal innovations. The paper consists of two parts. In the first part, we discuss the influence of the skewness parameter δ of the skew-normal distribution on the optimal portfolio estimators. Based on the asymptotic distribution of the portfolio estimator ? for a non-Gaussian dependent return process, we evaluate the influence of δ on the asymptotic variance V(δ) of ?. We also investigate the robustness of the estimators of a standard optimal portfolio via numerical computations. In the second part of the paper, we assume that the MA coefficients and the mean vector of the return process depend on a lower-dimensional set of parameters. Based on this assumption, we discuss the LAN property of the return's distribution when the innovations follow a skew-normal law. The influence of δ on the central sequence of LAN is evaluated both theoretically and numerically.     

A Proposal of an International Environmental Reporting Grid: What Interest for Policymakers,Regulatory Bodies,Companies, and Researchers?: Reply to Discussion of “Mandatory Environmental Disclosures by Companies Complying with IAS/IFRS: The Case of France,Germany and the UK”

This article offers the authors' insights concerning the issues raised by Professor Trevor Wilkins in commentaries on the article “Mandatory environmental disclosures by companies complying with IAS/IFRS: the case of France, Germany, and the UK” (Barbu et al., 2014). As suggested by Professor Wilkins, we demonstrate the utility of the international environmental reporting grid proposed in Barbu et al. (2014, Table 3): (1) for IASB policymakers and other regulatory bodies, (2) for companies to improve their environmental reporting, (3) for further research, and (4) for understanding the economic and financial consequences of IAS/IFRS-compliant environmental information.     

A copula‐based approach to the simultaneous estimation of group and meta‐frontiers by constrained maximum likelihood

Existing approaches to the meta‐frontier estimation consist of two stages where the estimates of the local frontier parameters obtained in the first step are used to estimate meta‐frontier parameters by means of a linear or quadratic minimisation procedure in the second. Since it was shown by Schmidt (Review of Economics and Statistics 58: 238) that the second step is equivalent to constrained maximisation of a likelihood function, we extend this idea and offer a copula‐based approach to the estimation of the parameters of both meta‐ and group frontiers in a one‐step setting. In this way, we ensure a single data‐generating mechanism for the estimated parameters, expand the set of potential meta‐frontiers and account for the fact that shocks to the individual production units may be correlated with shocks to the local technological environment as a whole. We apply our estimation methodology to a data set on the world agriculture and find that the deviations from the group frontiers are positively correlated with deviations from the meta‐frontier, which is a conclusion that is impossible to reach without accounting for stochastic dependence between the two deviation types represented by a copula.