Pricing of a structured product on the SX5E when the uncertainty of returns is modeled as a log-stable process

This work presents the participation factor and the valuation of a first-generation structured product with European call options on the Eurostoxx, when the uncertainty of the yields is modeled through log-stable processes. The basic statistics of the index yields are also exposed, the α-stable parameters are estimated, and the valuation of the of the structured models is compared through the log-stable and log-Gaussian models using inputs from the bond markets; concluding that investors obtain higher yields than those of the bond market through both models, and that the differences of the yields depend on the participation factor and on the value of the index at the time of liquidation.     

Mining History of Gamification Towards Finding Expertise in Question and Answering Communities: Experience and Practice with Stack Exchange

Recently, an online Q&A tool has become an essential part of individual communities and organizations of experts on specific topics. Using the answers to questions about specific topics will help such communities work more efficiently in their fields. Currently, Q&A online communities are adopting gamification to engage users by granting awards to successful users. In this paper, we investigate how to mine award achievement histories to find expertise. We propose the use of sequence analysis and clustering techniques. Specifically, we study the history of Stack Exchange, a large Q&A community that employs gamification. To the best of our knowledge, this is the first study of using award achievement history to find expertise in Q&A communities.     

Corporate Social Responsibility,Product Differentiation Strategy and Export Performance

This article examines why an organization might wish to manage workplace romance, and describes a number of alternative approaches to managing dating. At first sight the ethics of dating bans balances the need to protect female employees from harassment against employee rights to privacy and freedom of association – a rights versus rights issue. However, dating bans seem not to be directed at protecting female employees from harm, but rather protect employers from sexual harassment liability claims – an employer self-interest versus employee rights issue. This article advocates a consequentialist approach to the problem, via the factoring in of other harms caused by prohibiting workplace romance. Given that most workplace romances end up in marriage or long-term partnerships, a ban on workplace romance is argued to be antisocial. The incidence of sexual harassment is very low in comparison to the number of long-term relationships initiated in the workplace. This article concludes by citing examples of firms that encourage romance, showing that is feasible to manage any resulting problems within these firms’ existing conflict of interest and sexual harassment rules.     

Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies

We propose two novel approaches for feature selection and ranking tasks based on simulated annealing (SA) and Walsh analysis, which use a support vector machine as an underlying classifier. These approaches are inspired by one of the key problems in the insurance sector: predicting the insolvency of a non‐life insurance company. This prediction is based on accounting ratios, which measure the health of the companies. The approaches proposed provide a set of ratios (the SA approach) and a ranking of the ratios (the Walsh analysis ranking) that would allow a decision about the financial state of each company studied. The proposed feature selection methods are applied to the prediction the insolvency of several Spanish non‐life insurance companies, yielding state‐of‐the‐art results in the tests performed. Copyright © 2005 John Wiley & Sons, Ltd.     

How Significant Is Sub‐Saharan Africa's Demographic Dividend for Its Future Growth and Poverty Reduction?

Sub‐Saharan Africa will be undergoing substantial demographic changes over the next 15 years with the rising working‐age share of its population. The opportunity of African countries to convert these changes into demographic dividends for growth and poverty reduction will depend on several factors. The outlook will likely be good if African countries can continue the gains already made under better institutions and policies, particularly those affecting the productivity of labor, such as educational outcomes. If African countries can continue to build on the hard‐won development gains, the demographic dividend could account for 11–15% of gross domestic product (GDP) volume growth by 2030, while accounting for 40–60 million fewer poor in 2030. The gains can become more substantial with better educational outcomes that allow African countries to catch up to other developing countries. If the skill share of Africa's labor supply doubles because of improvements in educational attainment, from 25 to about 50% between 2011 and 2030, then the demographic dividends can expand the regional economy additionally by 22% by 2030 relative to the base case and reduce poverty by an additional 51 million people.     

Why some firms adopt telecommuting while others do not: A contingency perspective

Using a contingency perspective and data from 122 CEOs of Spanish firms, this paper examines what makes a firm likely to adopt telecommuting. We hypothesized that employer adoption of telecommuting would depend on organizational constraints (age and size of the firm), the international composition of the workforce, and the top executives' leadership style. In turn, we argue that firms adopting telecommuting would emphasize outcome‐based control systems. Our empirical evidence showed that telecommuting correlated with small organizational size, a high proportion of international employees, and variable compensation. A contingent reward leadership style at the top moderated the effects of firm age and internationalization on the adoption of telecommuting. © 2009 Wiley Periodicals, Inc.     

Content analysis research method with Nvivo-6 software in a PhD thesis: an approach to the long-term psychological effects on Chilean ex-prisoners survivors of experiences of torture and imprisonment

The aim of this paper is to review the usefulness of the software CAQDAS QSR—Nvivo-6 in a PhD. Thesis, which consisted of finding the long-term psychological effects of experiences of imprisonment and torture for political reasons in their Chilean survivors. For this research, it was created and administered an in-depth interview to 60 survivors, from which outcome was 9900 paragraphs, coded into 784 categories. The software QSR Nvivo-6 threw a report of frequencies, which were compared quantitatively using Pearson’s χ ² square test and cluster analysis. We conclude that the software facilitates the development of qualitative thematic content analysis, simplifying the coding, analysis and display of data. In Addition, it is very useful when working with large quantities of information, promoting the reliability and validity of studies. However, other aspects are also required to ensure the rigor of a qualitative study.     

Imposing regularity conditions on a system of cost and factor share equations

Systems of equations comprising cost functions and first-order derivative equations are often used to estimate characteristics of production technologies. Unfortunately, many estimated systems violate the regularity conditions implied by economic theory. Sampling theory methods can be used to impose these conditions globally, but these methods destroy the flexibility properties of most functional forms. We demonstrate how Bayesian methods can be used to maintain flexibility by imposing regularity conditions locally. The Bayesian approach is used to estimate a system of cost and share equations for the merino wool-growing sector. The effect of local imposition of monotonicity and concavity on the signs and magnitudes of elasticities is examined.     

Joint estimation using revealed and stated preference data: An application using a national forest

We combine contingent behaviour with travel cost data to estimate the change in the recreational use value of a National Forest due to quality and price changes. Instead of the usual improvement scenario, a hypothetical deterioration in the conditions of the forest due to a fire is considered. A dataset containing five observations for each respondent enabled the estimation of three models for which the number of scenarios differed. The results show that visitors are sensitive to price and quality changes and that in the forest fire scenario the intended number of trips would be reduced and that respondents would experience a welfare loss. Signs of inconsistency between preferences expressed by revealed and intended behaviour were found. This research also provides some indications that strategic bias affects answers to price changes.