A theoretical framework to evaluate different margin‐setting methodologies

The margin system is the first line of defense against the default risk of a clearinghouse. From the perspectives of a clearinghouse, the utmost concern is to have a prudential system to control the default exposure. Once the level of prudentiality is set, the next concern will be the opportunity cost of the investors, because high opportunity cost discourages people from hedging futures, and thus defeats the function of a futures market. In this article, we first develop different measures of prudentiality and opportunity cost. We then formulate a statistical framework to evaluate different margin‐setting methodologies, all of which strike a balance between prudentiality and opportunity cost. Three margin‐setting methodologies, namely, (1) using simple moving averages; (2) using exponentially weighted moving averages; (3) using a GARCH approach, are applied to the Hang Seng Index futures. Keeping the same prudentiality level, it is shown that the one using a GARCH approach by and large gives the lowest average overcharge. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:117–145, 2004     

Regime shifts in stock–flow I(2)–I(1) systems: the case of US fiscal sustainability

In the last two decades, fiscal sustainability has been tested through the use of non‐stationary time series analysis. Two different approximations can be found in the literature: first, a univariate approach that has focused on the stochastic properties of the stock of debt and, second, a multivariate one that has focused on the long‐run properties of the flows of expenditures and revenues, i.e., in the stochastic properties of the deficit. In this paper we unify these approaches considering the stock–flow system that fiscal variables configure. Our approach involves working in an I(2) stochastic processes framework. Given the possibility of the existence of regime shifts in the sustainability of US deficit that the literature has pointed out, we develop a new statistic that can be applied to test several types of I(2) cointegration and multicointegration relationships allowing for regime shifts. To test for these kinds of changing long‐run relationships we propose the use of a residual‐based Dickey–Fuller class of statistic that accounts for one structural break. We show that consistent estimates of the break fraction can be obtained through the minimization of the sum of squared residuals when there is I(2) cointegration. The finite sample performance of the proposed statistic is investigated by Monte Carlo simulations. The econometric methodology is applied to assess whether the US fiscal deficit and debt are sustainable. Copyright © 2010 John Wiley & Sons, Ltd.     

What is Ethical Competence? The Role of Empathy,Personal Values,and the Five-Factor Model of Personality in Ethical Decision-Making

The objective of the present research was two-fold: (1) to provide a new definition of ethical competence, and (2) to clarify the influence of empathy, personal values, and the five-factor model of personality on ethical competence. The present research provides a comprehensive overview about recent approaches and empirically explores the interconnections of these constructs. 366 German undergraduate students were examined in a cross-sectional study that investigated the relationship of empathy, personal values, and the five-factor model of personality with moral judgment competence and counterproductive work behavior as indicators of moral judgment and behavior. We found self-transcendence values to be related to both, high levels of empathy and ethical competence, in contrast to self-enhancement values. Multiple mediation analysis revealed unique effects of empathy on ethical competence through values as mediators. Affective (but not cognitive) empathy transmitted its effect on ethical competence through benevolence, conformity, tradition, power, and hedonism. Most importantly, perspective taking lost its predictive power when investigated alongside affective empathy dimensions. These results converge to an important role of affective empathy, in particular empathic concern, with regard to personal values and ethical competence. Furthermore, the five-factor model of personality explained variance in measures of ethical competence. Our research suggests that organizational decision makers should consider the role of empathy, personal values, and the five-factor model in their human resource management in order to select employees with high ethical competence.     

The impact of science and technology parks on firms’ product innovation: empirical evidence from Spain

Science and Technology Parks (STP) have attracted considerable attention and public funds in recent years. However, the conclusions on their effectiveness remain mixed. This work evaluates the impact of STP on firm product innovation in the Spanish context, as an example of a less developed innovation system in which regional and national governments are prioritizing STP initiatives. This work draws on a large sample of firms provided by the Spanish Survey on Technological Innovation that is conducted annually by the National Statistical Institute. We explore alternative econometric methods to obtain average treatment effects for firms located in 22 Spanish STPs. Our results show that Spanish STPs have a strong and positive impact on the probability and amount of product innovation achieved by STP located firms. These results hold when the endogeneity of STP location is taken into account.     

Price relationships between qualitatively differentiated agricultural products: organic and conventional wheat in Germany

Organic agriculture, which produces commodities that can be qualitatively differentiated from conventional food products, has grown into an important market in many countries. The dynamics of commodity prices in both sectors are partly interdependent, but are also shaped by independent determinants and have rarely been studied. We analyze organic food markets and their interdependencies with conventional markets in the context of wheat markets in Germany, which have been subject to a number of fundamental changes during the last two decades. Based on institutional market characteristics, we suggest a flexible Markov‐switching asymmetric time series model. We find a pronounced temporal sequence of market phases that differ in their asymmetric dynamics and the extent to which the organic price is influenced by the conventional price. Organic wheat prices tend to be increasingly connected to prices of conventional wheat.     

Do Vietnamese upland farmers benefit from high world market prices for maize?

For rural households in the north of Vietnam, maize cropping is the main source of income. In the face of the world market price increases of the recent past, we analyze the regional marketing chain of this commodity qualitatively and econometrically investigating to what extent smallholder farmers in developing countries are affected by international price movements. Vietnamese maize markets are found to be well integrated. Recent price hikes have fully transmitted along the regional supply chain so that farmers profited. Nevertheless, adverse factors such as increasing input prices have neutralized these benefits resulting in a decline in real income of smallholders.     

Automation and manufacturing employment: A reappraisal

Manufacturing unemployment is caused by many kinds of organizational change, often a change to automatic production. A framework is suggested here for analyzing the relationship of automation-change to other organizational changes.     

Animal disease outbreaks and food market price dynamics: Evidence from regime‐dependent modelling and connected scatterplots

The economic impacts of animal disease outbreaks have been widely discussed in the literature. Most authors have centred their attention on estimating the direct costs. Recent studies have shown that the indirect economic effects might lead to equal or even higher welfare losses. This study aims to contribute to this field of research by assessing the effect of an animal disease outbreak on food market price dynamics in Mexico, accounting for the potential effect of an antitrust intervention. We employ a regime‐dependent vector error correction model and a connected scatterplot analysis. The results show that both the outbreak and the antitrust intervention caused structural breaks in food market price dynamics between producers and consumers, reflected in an increase in the absolute component of the marketing margin, with serious food security implications.     

Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications

Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies’ data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT²) implementation, called Globalgest.