An Extensive Comparison of Some Well‐Established Value at Risk Methods

In the last two decades, several methods for estimating Value at Risk have been proposed in the literature. Four of the most successful approaches are conditional autoregressive Value at Risk, extreme value theory, filtered historical simulation and time‐varying higher order conditional moments. In this paper, we compare their performances under both an empirical investigation using 80 assets and a large Monte Carlo simulation. From our analysis, we conclude that most of the methods seem not to imply huge numerical difficulties and, according to usual backtests and performance measurements, extreme value theory presents the best results most of the times, followed by filtered historical simulation.     

CSR Practices and Corporate Strategy: Evidence from a Longitudinal Case Study

This paper aims to contribute to the present debate about business ethics and Corporate Social Responsibility (CSR) that the Journal of Business Ethics is hosting. Numerous contributions argued theoretical frameworks and taxonomies of CSR practices. The authors want to ground in this knowledge and provide further evidence about how companies adopt CSR practices to address stakeholders’ claims and consolidate their trust. Evidence was provided by a longitudinal case study about an Italian food company that is one of the largest producers of baby food. This company reshaped its corporate strategy along three decades through the adoption of CSR practices in order to win stakeholders’ trust about food safety and supply chain behaviour. The empirical exercise was informed by a literature review of the relevant contributions in terms of CSR business practices and levels of efforts to adopt them. In light of this review, the authors adopted for the research framework the taxonomy of business practices proposed by Spiller (2000, “Ethical Business and Investment: A Model for Business and Society”, Journal of Business Ethics 27, 149-160) and the levels of commitment towards CSR proposed by Stahl and Grigsby (1997, Strategic Management; Total Quality & Global Competition (Blackwell, Oxford)). The main findings are discussed in order to argue theoretical implications and identify further areas of research and debate.     

Knowledge and information flows in supply chains: A study on pharmaceutical companies

A great deal of attention in the supply chain management literature is devoted to study material and demand information flows and their coordination. But in many situations, supply chains may convey information from different nature, they may be an important channel companies have to deliver knowledge, or specifically, technical information to the market. This paper studies the technical flow and highlights its particular requirements. Drawing upon a qualitative field research, it studies pharmaceutical companies, since those companies face a very specific challenge: consumers do not have discretion over their choices, ethical drugs must be prescribed by physicians to be bought and used by final consumers. Technical information flow is rich, and must be redundant and early delivered at multiple points. Thus, apart from the regular material channel where products and order information flow, those companies build a specialized information channel, developed to communicate to those who need it to create demand. Conclusions can be extended to supply chains where products and services are complex and decision makers must be clearly informed about technology-related information.