A importância da gestão de marketing em empresa inovadora: estudo de empresa do Prime - Programa Primeira Empresa Inovadora

As pesquisas demonstram que empresas nascentes, mesmo aquelas que possuem produtos, processos ou serviços inovadores, novos ao mercado, têm muita dificuldade em permanecer com suas portas abertas nos primeiros dois anos, ou seja, a grande maioria das empresas encerra suas atividades antes de completar dois anos de existência. Diante deste fato, este estudo investiga a importância da gestão em Marketing nas empresas inovadoras com a finalidade de obter sucesso na inserção de produto, serviço ou processo em mercado altamente competitivo (PRIME, 2010). O estudo é fundamentado por uma seção empírica, baseada em pesquisa bibliográfica, documental e de campo, além da realização de estudo de caso que procurou tratar de alguns aspectos de Marketing em empresa beneficiária do PRIME – Programa Primeira Empresa Inovadora, que é um programa de Subvenção Econômica do Governo Federal, lançado pela Financiadora de Estudos e Projetos (FINEP), uma empresa pública vinculada ao Ministério da Ciência, Tecnologia e Inovação (MCTI). Neste estudo foi verificado que uma estratégia de Marketing consciente e eficaz influencia o sucesso competitivo de empresas inovadoras, através de produto ou serviço diferenciado para inserção no mercado.

Affine processes, arbitrage-Free Term structures of legendre polynomials,and option pricing

Multivariate Affine term structure models have been increasingly used for pricing derivatives in fixed income markets. In these models, uncertainty of the term structure is driven by a state vector, while the short rate is an affine function of this vector. The model is characterized by a specific form for the stochastic differential equation (SDE) for the evolution of the state vector. This SDE presents restrictions on its drift term which rule out arbitrages in the market. In this paper we solve the following inverse problem: Suppose the term structure of interest rates is modeled by a linear combination of Legendre polynomials with random coefficients. Is there any SDE for these coefficients which rules out arbitrages? This problem is of particular empirical interest because the Legendre model is an example of factor model with clear interpretation for each factor, in which regards movements of the term structure. Moreover, the Affine structure of the Legendre model implies knowledge of its conditional characteristic function. From the econometric perspective, we propose arbitrage-free Legendre models to describe the evolution of the term structure. From the pricing perspective, we follow Duffie et al. (2000) in exploring Legendre conditional characteristic functions to obtain a computational tractable method to price fixed income derivatives. Closing the article, the empirical section presents precise evidence on the reward of implementing arbitrage-free parametric term structure models: The ability of obtaining a good approximation for the state vector by simply using cross sectional data.

The corporate financial effects of corporate social responsibility, as executed by, and impacted upon, Prime Bank Limited, Bangladesh

Corporate Social Responsibility (CSR) is being implemented in the corporate world at an ever increasing rate, benefitting societies around the world. Several theories have been proposed that contend that the corporations who are implementing CSR programs also benefit financially, making the relationship a symbiotic one. This paper analyzes the financial health of Prime Bank Limited, Bangladesh, (PBL) over a period of a decade in order to determine if PBL has indeed benefited financially from implementing its CSR program. The analysis focuses on examining PBL’s internal and external financial indicators over an extended period of time to determine what the net effect, if any, that the CSR program has had on them. This analysis concludes that the evidence does not support the claim of a causal relationship between CSR spending and positive effects upon PBL, as measured by PBL’s financial indicators.