A market-consistent framework for the fair evaluation of insurance contracts under Solvency II

Decisions in Economics and Finance - The entry into force of the Solvency II regulatory regime is pushing insurance companies in engaging into market consistence evaluation of their balance sheet,...     

Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

Social and organisational implications of CAD usage: a grounded theory in a fashion company

This paper focuses on the process of Computer Aided Design (CAD) diffusion into a group engaged in the development of innovative products. Adopting an ethnographic approach, we build a grounded theory for interpreting CAD usage in terms of the interplay between variables such as management orientation, training, actors' specialisation and deskilling, availability of shared archives, technological discontinuities between organisational areas.     

The Falsification of Four Popular Hypotheses About the Asian Crisis

Various claims have been made about the causes of the Asian crisis and its spread. Here, we use data on the behaviour of capital flows during the crisis to test the strong forms of four such hypotheses, that portfolio investors and hedge funds played a dominant role in initiating and/or spreading the crisis; that moral hazard kept efficient markets from predicting the crisis; and, finally, the common lender hypothesis of Kaminsky and Reinhart. In the process we also test implications of the Calvo-Mendoza model of rational investor ignorance. All are falsified as monocausal explanations. For example, portfolio investments that could not have been subject to substantial moral hazard continued to flow into Asia until very shortly before the crisis. Likewise, banks were a much larger source of capital outflows during the crisis than were portfolio investors. While falsified in their strongest forms, several of these hypotheses in less strong forms should play a role in a more nuanced analysis. It is necessary to move past simple single-factor approaches in order to produce a more complete, synthetic explanation of this episode.     

Organizational rejuvenation for knowledge exploitation: Exploring corporate entrepreneurship in an MNE

The purpose of this paper is to study how organizational rejuvenation is used to increase and support knowledge exploitation in multinational enterprises. Using case-study data to explore the theoretical arguments, interesting findings emerge. The main finding is that entrepreneurial activities in IT industry enable organizational rejuvenation with repercussions beyond the focal function. Other findings relate to how corporate entrepreneurship activities provide possibilities for continuous knowledge exploitation within the MNE and how entrepreneurial groups inside MNEs form the foundation from which the organizational rejuvenation originates. Finally, the form of organizational rejuvenation studied embraced both structural and behavioral changes. The authors acknowledge an equal share in the development of this article.     

Trends in Disaggregated Import and Export Prices in Europe: Implications for the Trade and Wages Debate

We consider carefully the evidence from traded prices (as proxied by unit values) concerning the transmission of the effects of globalisation to domestic labour markets. Using standard index number techniques we decompose changes in sectoral import and export unit values into movements due to changes in pure prices of the initial bundle of goods imported or exported and changes due to upgrading of that bundle. Looking at the imports of selected European countries of textiles, clothing and footwear relative to engineering products we find evidence of strongly falling pure prices of the unskilled intensive products relative to the skilled products in the 1980s. This reinforces the view that import prices can capture the impact of globalisation in terms of falling relative prices for products produced with the intensive use of unskilled labour. However, the trends are not common across all the unskilled sectors; footwear is clearly an exception. In the absence of detailed domestic data, we look for reactions by domestic firms to increased import competition in movements in the price and composition of exports. We find evidence of stiff price competition from imports being associated with similar movements in export prices and no support for the view that import competition from low–wage countries has led to upgrading of the quality of exports.     

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).