Stochastic Models of Implied Volatility Surfaces

We propose a market–based approach to the modelling of implied volatility, in which the implied volatility surface is directly used as the state variable to describe the joint evolution of market prices of options and their underlying asset. We model the evolution of an implied volatility surface by representing it as a randomly fluctuating surface driven by a finite number of orthogonal random factors. Our approach is based on a Karhunen–Loeve decomposition of the daily variations of implied volatilities obtained from market data on SP500 and DAX options.
We illustrate how this approach extends and improves the accuracy of the well–known 'sticky moneyness' rule used by option traders for updating implied volatilities. Our approach gives a justification for the use of 'Vegas' for measuring volatility risk and provides a decomposition of volatility risk as a sum of independent contributions from empirically identifiable factors.
(J.E.L.: G130, C14, C31).     

Choosing sides in the trilemma: international financial cycles and structural change in developing economies

ABSTRACT

This paper analyzes the impact of international financial cycles on structural change in developing economies. It is argued that the impact of these cycles depends on the specific combination of macroeconomic and industrial policies adopted by the developing economy. The cases of Brazil and Argentina are contrasted with those of Korea and China. In the Asian economies, macroeconomic policy has been a complementary tool along with industrial policy to foster the diversification of production and capabilities. Inversely, in the case of the Latin American countries, long periods of real exchange rate (RER) appreciation, combined with the weaknesses (or absence) of industrial policies, contributed to the loss of capabilities and lagging behind.     

Task‐based structures in open source software: revisiting the onion model

Studies on Open Source Software (OSS) developer communities have long stated that there is a relationship between community structure and tasks carried out by project members. This relationship has been exemplified by the onion model, which has been instrumental in understanding self‐coordination in OSS projects. Despite its ubiquity, there is a lack of empirical evidence to validate the relative position of each task cluster within the onion model. In this study, we map out the community structure of a large open source project and observe its bug‐fixing patterns to explore the relationship between tasks and structure. Our study makes three significant contributions. First, we find no empirical evidence to support the structural location of bug‐fixing tasks in the onion structure. Second, we find empirical evidence to support the core‐periphery continuum model linking an actor’s coreness to problem‐solving ability. Third, our results suggest that the importance and location of each task within the core‐periphery structure evolve over time. These findings add clarity to the community structure and their implications for the management and coordination of collaborative innovation projects.     

Building internal business scenarios based on real data from a performance measurement system

This paper presents a new methodology to build internal business scenarios from the data gathered by some key performance indicators (KPIs) defined within a performance measurement system. The application of the principal components analysis technique leads to the identification of latent relationships between KPIs that underlies some important business aspects. Further, this methodology allows to represent not only the temporal evolution of the organisation as a function of these business aspects but also the definition and determination of internal business scenarios, being therefore the source of meaningful managerial information. At the end of the paper, results of a practical application are presented and discussed, as well as their importance for the organisation from a decision making point of view.     

An Empirical Analysis of Synthesizing the Effects of Festival Quality,Emotion, Festival Image and Festival Satisfaction on Festival Loyalty: A Case Study of Macau Food Festival

This study aims to examine the interrelationships among the festival quality dimensions, festival quality, emotion, festival image, festival satisfaction and festival loyalty. Analysis of data from 454 attendees in the 12^th Macau Food Festival indicates that the proposed model fits the data. The result of this study will assist festival management in developing and implementing market‐orientated service strategies to increase quality and image, and enhance the emotion and satisfaction of attendees in order to attain their loyalty toward food festivals. Copyright © 2014 John Wiley & Sons, Ltd.     

Environmental impacts of changes to healthier diets in Europe

Food consumption causes, together with mobility, shelter and the use of electrical products, most life cycle impacts of consumption. Meat and dairy are among the highest contributors to environmental impacts from food consumption. A healthier diet might have less environmental impacts. Using the E3IOT environmentally extended input output database developed in an EU study on Environmental Impacts of Products (EIPRO), this paper estimates the difference in impacts between the European status quo and three simulated diet baskets, i.e. a pattern according to universal dietary recommendations, the same pattern with reduced meat consumption, and a ‘Mediterranean’ pattern with reduced meat consumption. Production technologies, protein and energy intake were kept constant. Though this implies just moderate dietary shifts, impact reductions of up to 8% were possible in reduced meat scenarios. The slightly changed food costs do not lead to significant first order rebound effects. Second order rebounds were estimated by applying the CAPRI partial equilibrium model. This analysis showed that European meat production sector will most likely respond by higher exports to compensate for losses on the domestic meat market. Higher impact reductions probably would need more drastic diet changes.     

The relationship between store image and store brand equity: A conceptual framework and evidence from hypermarkets

Retailers are making considerable efforts to improve their brand management. The challenge they face, however, is how best to integrate coherently their stores, as brands, and their various distributor brands (store brands, private labels, etc.), in order to increase their brand equity and offer the market differential value that will stimulate customer loyalty. From this perspective, it is crucial for retailers to investigate the relationship between the store and their own brands. This study proposes two theoretical models showing the mechanism whereby store image helps increase the equity of a specific type of distributor brand (the store brand). The approach used in this analysis is based, on the one hand, on defining brand equity through its components, using the model in Aaker (1991), and on the other, on including (social and strategic) corporate dimensions in measuring store image. The empirical research made in the hypermarket sector in the Basque province of Gipuzkoa backs the majority of the proposed hypotheses. The results show that store image can be used by retailers to influence all components of store brand equity, essentially through its commercial and strategic dimension. This research is intended to address the clear lack of research on store brand equity.     

Dynamics of agricultural land use change in Kerala: a policy and social-ecological perspective

Land-use change is a phenomenon highlighting significant shifts in human interaction with the natural environment. Different patterns of agriculture and a trend towards non-agricultural land use challenge the sustainability of farming systems. This study aims to identify the causes of changes in land use and cropping patterns, with a special focus on paddy, the staple crop in Asia. In the case of Wayanad, a district in Kerala, South India, we argue for an interdisciplinary analysis of rapid land-use change to unpack the multiple dimensions of sustainability: economic, ecological and social factors, aggregating up to 70% reduction in the area under paddy by 2010. The results rest on empirical field research, participatory rural appraisals and stakeholder workshops conducted during the 4-year period from 2010 to 2013, along with state- and district-level data covering the 1983–2011 period. Reduced economic viability, labour shortages and population pressure on land are the major drivers for the transformation of paddy fields to other land uses. Changes in land use and agrarian structure reflect not only the livelihood strategies adopted by farmers in response to these drivers, but also the impacts of unintended policy idiosyncrasies. At a more fundamental level, they are the consequences of policy conflicts and inadequate sectoral integration of policies and implementation strategies.     

Analysis of the Service Dominant Logic network,authors, and articles

The present study analyses research conducted in Service Dominant Logic (S-D logic), providing an overview of its intellectual structure. For that purpose, a structured approach was adopted through the implementation of bibliometric methods, using co-citation analysis combined with performance analysis and an integrative science mapping approach, which considered a timeline, a graph, and a distance-based perspective. This allowed the identification of the leading authors and of six clusters of articles based on bibliographic coupling, along with the most prominent research themes clustered in five subdomains of research based on co-occurrence of terms. The networks extracted show the associations between the main articles and concepts treated by the S-D logic community, unveiling the salient challenges and prospective expansion facing its future theoretical and practical context.