An evolving possibilistic fuzzy modeling approach for value-at-risk estimation

Market risk exposure plays a key role for nancial institutions risk management. A possible measure for this exposure is to evaluate losses likely to incurwhen the price of the portfolio's assets declines using Value-at-Risk (VaR) estimates, one of the most prominent measure of nancial downside market risk. This paper suggests an evolving possibilistic fuzzy modeling approach for VaR estimation. The approach is based on an extension of the possibilistic fuzzy c-means clustering and functional fuzzy rule-based modeling, which employs memberships and typicalities to update clusters and creates new clusters based on a statistical control distance-based criteria. ePFM also uses an utility measure to evaluate the quality of the current cluster structure. Computational experiments consider data of the main global equity market indexes of United States, London, Germany, Spain and Brazil from January 2000 to December 2012 for VaR estimation using ePFM, traditional VaR benchmarks such as Historical Simulation, GARCH, EWMA, and Extreme Value Theory and state of the art evolving approaches. The results show that ePFM is a potential candidate for VaR modeling, with better performance than alternative approaches.

Instrumentos de apoio financeiro específicos a empresas localizadas em arranjos produtivos locais: um estudo de caso do APL de Nova Friburgo

In the last decade, the debate concerning more adequate means of promoting social and economic development, through policies of firm supporting, has been gaining strength. Among several means of support, there is one that addresses issues related to credit and funding. At the same time, interest on the phenomenon of firm agglomeration, known by clustering, is increasing, as well as one of its advantages - facilitating the development and strengthening of its firms. Additionally, there can be spotted advantages on clustering that allow tailoring financial instruments, specifically to firms in it, based on collective solutions, with better conditions. This dissertation focuses on how the capture of these opportunities is being done, in the presence of specific financial products to Brazilian clusters. The present analysis is conducted from the cluster located in Nova Friburgo and Region, specialized in women underwear. This study sought to capture advantages from three main collective solutions: information systems, guarantees systems, alternative funding. These solutions address to the following issues: information asymmetries, absence of guarantees from the credit taker, limited sources of funding. Semi-structured interviews were made with members of the cluster, when it was possible to identify that the capture of advantages is in its early stages, being limited by other issues, such as: adequate degree of human capital, governance framework and process inefficiencies.

Operations strategy in perspective: the means for achieving superior performance

Manufacturing strategy has been widely studied and it is increasingly gaining attention. It has a fundamental role that is to translate the business strategy to the operations by developing the capabilities that are needed by the company in order to accomplish the desired performance. More precisely, manufacturing strategy comprises the decisions that managers take during a certain period of time in order to achieve a desire result. These decisions are related to which operational practices and resources are implemented. Our goal was to identify the relationship between these two decisions with operational performance. We based our arguments on the resource-based view for identifying sources of competitive advantage. Hence, we argued that operational practices and resources affect positively the operational performances. Additionally, we proposed that in the presence of some resources the implementation of operational practices would lead to a greater performance. We used previous scales for measuring operational practices and performance, and developed new constructs for resources. The data used is part of the High Performance Manufacturing project and the sample is composed by 291 plants. Through confirmatory factor analysis and multiple regressions we found that operational practices to a certain extant are positively related to operational performance. More specifically, the results show that JIT and customer orientation practices have a positive relationship with quality, delivery, flexibility, and cost performances. Moreover, we found that resources like technology and people explain a great variance of operational performance.