Consumption smoothing in Latin America: an empirical assessment of present value models

The study aims to assess the empirical adherence of the permanent income theory and the consumption smoothing view in Latin America. Two present value models are considered, one describing household behavior and the other open economy macroeconomics. Following the methodology developed in Campbell and Schiller (1987), Bivariate Vector Autoregressions are estimated for the saving ratio and the real growth rate of income concerning the household behavior model and for the current account and the change in national cash ‡ow regarding the open economy model. The countries in the sample are considered separately in the estimation process (individual system estimation) as well as jointly (joint system estimation). Ordinary Least Squares (OLS) and Seemingly Unrelated Regressions (SURE) estimates of the coe¢cients are generated. Wald Tests are then conducted to verify if the VAR coe¢cient estimates are in conformity with those predicted by the theory. While the empirical results are sensitive to the estimation method and discount factors used, there is only weak evidence in favor of the permanent income theory and consumption smoothing view in the group of countries analyzed.

Nonparametric specification tests for conditional duration models

This paper deals with the testing of autoregressive conditional duration (ACD) models by gauging the distance between the parametric density and hazard rate functions implied by the duration process and their non-parametric estimates. We derive the asymptotic justification using the functional delta method for fixed and gamma kernels, and then investigate the finite-sample properties through Monte Carlo simulations. Although our tests display some size distortion, bootstrapping suffices to correct the size without compromising their excellent power. We show the practical usefulness of such testing procedures for the estimation of intraday volatility patterns.

A family of autoregressive conditional duration models

This paper develops a family of autoregressive conditional duration (ACD) models that encompasses most specifications in the literature. The nesting relies on a Box-Cox transformation with shape parameter λ to the conditional duration process and a possibly asymmetric shocks impact curve. We establish conditions for the existence of higher-order moments, strict stationarity, geometric ergodicity and β-mixing property with exponential decay. We next derive moment recursion relations and the autocovariance function of the power λ of the duration process. Finally, we assess the practical usefulness of our family of ACD models using NYSE transactions data, with special attention to IBM price durations. The results warrant the extra flexibility provided either by the Box-Cox transformation or by the asymmetric response to shocks.

A family of autoregressive conditional duration models

This paper develops a family of autoregressive conditional duration (ACD) models that encompasses most specifications in the literature. The nesting relies on a Box-Cox transformation with shape parameter λ to the conditional duration process and a possibly asymmetric shocks impact curve. We establish conditions for the existence of higher-order moments, strict stationarity, geometric ergodicity and β-mixing property with exponential decay. We next derive moment recursion relations and the autocovariance function of the power λ of the duration process. Finally, we assess the practical usefulness of our family of ACD models using NYSE price duration data on the IBM stock. The results warrant the extra flexibility provided either by the Box-Cox transformation or by the asymmetric response to shocks.

Integrating open innovation in the social innovation process: an exploratory study

Inovação tem se tornado um fenômeno cada vez mais complexo e dinâmico, com a mudança de um paradigma focado na inovação industrial, onde a inovação acontecia no produto ou no processo de fabricação, para outro baseado no conhecimento, muito mais amplo. Além disso, o conhecimento e a competência técnica não são mais considerados como um monopólio do departamento de pesquisa e desenvolvimento. Isto trouxe mudanças nas práticas de inovação, que se tornaram mais abertas e levaram as empresas a interagir cada vez mais com o seu ambiente. Por outro lado, a inovação tecnológica, cujo primeiro objetivo é de criar valor para a empresa, tem experimentado alguns limites para resolver problemas sociais, como o aquecimento global. As novas tecnologias têm a capacidade de melhorar a qualidade de vida de muita gente, mas não é suficiente. É nesse contexto que surge outro tipo de inovação, cujo objetivo é de maximizar o impacto positivo na sociedade: a inovação social. Estes dois paradigmas de inovação, mais adequados aos desafios atuais, têm alguns pontos em comum na sua integração com o ambiente externo: a sociedade e outros atores da inovação. No entanto, praticamente não existem estudos integrando inovação aberta e inovação social. Este trabalho estuda a integração destes dois modelos a partir de uma pesquisa exploratória, realizando entrevistas em profundidade com 11 dirigentes de organizações sociais. As iniciativas sociais parecem atrair mais organizações externas para colaborar do que empresas com fins lucrativos, já que são mais altruístas. Parecem integrar essas pessoas e procurar por mais ajuda, especialmente no momento de escalar o negócio. Ainda que algumas organizações têm como prioridade institucionalizar a inovação aberta, outras veem isto como secundário ou simplesmente não sabem como fazer. Isto resulta em uma colaboração mais informal, que não é focada em atividades de pesquisa e desenvolvimento, prática ausente nas empresas da nossa amostra.

Non- parametric specification tests for conditional duration models

This paper deals with the estimation and testing of conditional duration models by looking at the density and baseline hazard rate functions. More precisely, we foeus on the distance between the parametric density (or hazard rate) function implied by the duration process and its non-parametric estimate. Asymptotic justification is derived using the functional delta method for fixed and gamma kernels, whereas finite sample properties are investigated through Monte Carlo simulations. Finally, we show the practical usefulness of such testing procedures by carrying out an empirical assessment of whether autoregressive conditional duration models are appropriate to oIs for modelling price durations of stocks traded at the New York Stock Exchange.

Business process in supply chain integration in sugar and ethanol industry

This article presents the application of a diagnosis method in a Brazilian company from the sugar and ethanol industry to identify the level of supply chain integration. The diagnosis method is based on Cooper, Lambert and Pagh reference model for SCM. The method involves nine referential axes established from the eighth key business processes of the reference model.