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.     

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 MPS parameterization under lead time uncertainty

The supply planning of assembly systems under lead times uncertainty is studied. The used criteria is the sum of the average holding cost for the components, the average backlogging cost for the finished product, and the setup cost. The decision variables are the planned lead times of components and the periodic ordering quantity. A new generalized Newsboy model gives the optimal solution under the assumption that the lead times of the different types of components follow the same distribution probability, and that the holding costs per period of the ordered quantities are the same.     

Portfolio selection with mental accounts and background risk

Das et al. (2010) develop a model where an investor divides his or her wealth among mental accounts with motives such as retirement and bequest. Nevertheless, the investor ends up selecting portfolios within mental accounts and an aggregate portfolio that lie on the mean–variance frontier. Importantly, they assume that the investor only faces portfolio risk. In practice, however, many individuals also face background risk. Accordingly, our paper expands upon theirs by considering the case where the investor faces background risk. Our contribution is threefold. First, we provide an analytical characterization of the existence and composition of the optimal portfolios within accounts and the aggregate portfolio. Second, we show that these portfolios lie away from the mean–variance frontier under fairly general conditions. Third, we find that the composition and location of such portfolios can differ notably from those of portfolios on the mean–variance frontier.     

Agricultural productivity,shadow wages and off-farm labor decisions in Nicaragua

The objective of this study is to analyze the decision to work off-farm by male and female farmers in Nicaragua using a three-year unbalanced panel dataset. Shadow income and shadow wages are also estimated. Moreover, to mitigate biases from unobserved individual and farm time-invariant characteristics as well as from sample selection, we apply a semiparametric approach for panel data. Our main findings suggest that shadow wages play a major role in off-farm labor decisions for both males and females. This implies that less labor is allocated to off-farm activities as the opportunity cost for agricultural work goes up. In addition, as the on-farm marginal productivity of households (i.e., shadow income) rises, both males and females reduce the hours they allocate to off-farm activities.     

Employment and Exchange Rates: The Role of Openness and Technology

Real exchange rate movements are important drivers of the reallocation of resources between sectors of the economy. Economic theory suggests that the impact of exchange rates should vary with the degree of exposure to international competition and with the technology level. We show that both the degree of openness and the technology level mediate the impact of exchange rate movements on labour market developments. According to our estimations, whereas employment in high-technology sectors seems to be relatively immune to changes in real exchange rates, these appear to have sizable and significant effects on highly open low-technology sectors. The analysis of job flows suggests that the impact of exchange rates on these sectors occurs through employment destruction.     

Banks’ earnings: Empirical evidence of the influence of economic and financial market factors

The structure of income is a foremost address within research on banks’ performance, especially with regard to effects on the resilience of banks’ earnings. Indeed, given their central position in the economy, banks shall thrive to generate sustainable earnings and control for their potential volatility. Existing studies mostly consider the weight of non‐net interest income (nonNII) as opposed to the traditional NII income source. Such aggregated nonNII is found to increase earnings risk but more granular studies conflict. We propose an original investigation of the influence of economic and financial conditions on various income types, assuming that performance may actually be driven by both the income structure and external conditions. We focus European banks, which have long been allowed to diversify beyond retail banking. Out of a straight panel framework, we question if the influence of external conditions spreads to earnings components other than credit losses and trading income and if it does allow for diversification benefits among components. We find that each component actually evolves owing to its own equation. Furthermore, effects of single variables may cumulate over different components of earnings (e.g. GDP) or provide with diversification benefits. These effects are all the more important since they are not mitigated by operating expenses. Hence, over a regarded period, banks’ performance depends upon their structure of income and upon volatilities and correlations of influential variables. Besides controlling for ex‐ante volatility, our approach shows that a given structure of income is not necessarily more resilient than others but that selected non‐banking income may support a higher stability of Earnings     

北京万达索菲特大饭店 彰显法式奢华

北京唯一的法式奢华白金五星级酒店——北京万达索菲特大饭店,楼高27层,内设417间客房与套房,其中包括63间行政房及至臻完善的索菲特会所。酒店潜心将法式奢华风姿与中国华丽韵致完美璧合,为那些在商务或度假旅途中探寻时尚、文化、艺术与舒适感的旅行者们提供至尊旅居体验。     

A behavioral explanation of the value anomaly based on time-varying return reversals

We investigate the dynamics of the value anomaly in order to identify the driving forces of the anomaly. We show that the large positive value-minus-growth portfolio returns are explained by an over-reaction (under-reaction) to the positive (negative) market movements in short, specific time periods, during which the average returns of value-minus-growth portfolios are more than 2% a month. We propose an explanation based on behavioral biases: the dynamics of the value anomaly reflect the increased speed of return reversals subsequent to overreaction. Two conditions that increase the return reversals are proposed: when investors respond to public signals asymmetrically or when public signals become noisy. Our empirical results reveal that the value anomaly is explained by either one of these two channels.