The Brazilian class C women perception regarding premium mass products in the beauty industry

Recentemente, os mercados emergentes se tornaram um alvo potencial para a indústria da beleza e o Brasil está se tornando um mercado lucrativo para os produtos cosméticos Premium (Euromonitor International, 2013). A população de baixa renda no Brasil representa 70% de seus habitantes ao considerar as classes C, D e E (Barki e Parente, 2010), sendo a classe C representada por 56% da população (Neri, 2012). Este é um mercado potencial para as empresas multinacionais (MNCs), que enfrentam desafios de fazer negócios no país, visto que a classe C opta por gastar parte de sua renda com produtos relacionados a beleza (Silva e Parente, 2007) e ainda há um pouco conhecimento sobre o comportamento de consumo na base da pirâmide. Portanto, o objetivo deste estudo é investigar e descrever o comportamento de consumo das mulheres brasileiras da classe C no setor de beleza, em relação aos produtos Mass Premium, melhorando o conhecimento no que diz respeito a essa população e ao tema proposto. Para atingir esse objetivo, o autor utilizou uma metodologia baseada em uma análise descritivas qualitativa em que foram entrevistadas 20 mulheres de todas as faixas etárias, que pertencem à classe C brasileira e citações foram usadas para fornecer a confirmação dos resultados da análise. Os resultados sugerem que, ao longo dos anos, houve de fato um movimento de trade up no consumo de produtos de beleza. Além disso, foram identificados cinco aspectos principais, que conduzem decisão de compra das mulheres de classe C, no setor de beleza: confiabilidade, qualidade, status, autoestima e bem-estar. Apesar das limitações de um estudo exploratório, espera-se que a pesquisa aumente o conhecimento sobre o mercado da base da pirâmide, especialmente no que diz respeito à indústria da beleza.

Estimating and forecasting the volatility of Brazilian finance series using arch models (Preliminary Version)

The goal of this paper is to present a comprehensive emprical analysis of the return and conditional variance of four Brazilian …nancial series using models of the ARCH class. Selected models are then compared regarding forecasting accuracy and goodness-of-…t statistics. To help understanding the empirical results, a self-contained theoretical discussion of ARCH models is also presented in such a way that it is useful for the applied researcher. Empirical results show that although all series share ARCH and are leptokurtic relative to the Normal, the return on the US$ has clearly regime switching and no asymmetry for the variance, the return on COCOA has no asymmetry, while the returns on the CBOND and TELEBRAS have clear signs of asymmetry favoring the leverage e¤ect. Regarding forecasting, the best model overall was the EGARCH(1; 1) in its Gaussian version. Regarding goodness-of-…t statistics, the SWARCH model did well, followed closely by the Student-t GARCH(1; 1)

The market strategies alternatives of an e-business start-up in Brazil

The e-business market is one of the fastest growing markets in Brazil, with e-business sales accounting for BRL 14.8 billion in 2010 and a growth of 40% per year (+1000% over the past 7 years). Sales-event clubs and collective bargaining websites are one of the most dynamic segments of the e-business market: the number of new players is increasing rapidly, with over 1200 collective bargaining websites currently operating in Brazil. In that context, growth and differentiation seem to be two key success factors for Coquelux. According to webshopper (23rd Edition, e-bit), growth can be achieved by targeting middle and low-income consumers from class C, who represent 50% of the total e-commerce sales. But Coquelux, which is specialized in desire and luxury brands, has built its reputation and competitive advantage through its “exclusivity”, by targeting wealthier consumers from classes A and B who are attracted by its fashionable and high-end positioning. The evolution (growth?) of this market and the development of its competition naturally raise a strategic question for Coquelux’s managers: can Coquelux grow and still maintain its competitive advantage? Should it grow by expanding its consumer base to class C? If so, how? Consumers from classes A, B or C must be targeted through the same online communication channels. Recent studies from the ABEP/ABIPEME emphasized the importance of social networks as a tool for converting new clients and gaining their loyalty, regardless of their social class. However, high-income and low-income e-consumers do not have the same consumption habits, do not respond to the same type of marketing strategies, and most importantly, do not share the same values. Thus, it seems difficult to expand Coquelux’s consumer base to class C without changing its marketing strategies and altering its image Three options were identified for Coquelux: reinforcing its leadership on the luxury segment and focusing on a small niche market (1), which would threaten its survival in the long run; completely changing its strategy and competing for a mass market through commercial brands (2), which requires major financial investments that managers don’t have access to; or finding an intermediary solution (3). This thesis’ recommendation for the third option consists in focusing on premium brands (rather than luxury) in order to increase sales volume (Coquelux’s most profitable sales happened with local desire brands) with products that appeal to class B but also attract the emerging class C which is looking for brand recognition. It could thus implement a slow entry strategy towards the mass market without damaging its main competitive advantage.

Contributions to the Theory of Optimal Tests

This paper considers tests which maximize the weighted average power (WAP). The focus is on determining WAP tests subject to an uncountable number of equalities and/or inequalities. The unifying theory allows us to obtain tests with correct size, similar tests, and unbiased tests, among others. A WAP test may be randomized and its characterization is not always possible. We show how to approximate the power of the optimal test by sequences of nonrandomized tests. Two alternative approximations are considered. The rst approach considers a sequence of similar tests for an increasing number of boundary conditions. This discretization allows us to implement the WAP tests in practice. The second method nds a sequence of tests which approximate the WAP test uniformly. This approximation allows us to show that WAP similar tests are admissible. The theoretical framework is readily applicable to several econometric models, including the important class of the curved-exponential family. In this paper, we consider the instrumental variable model with heteroskedastic and autocorrelated errors (HAC-IV) and the nearly integrated regressor model. In both models, we nd WAP similar and (locally) unbiased tests which dominate other available tests.

Price discovery in dual-class shares across multiple markets

We extend the standard price discovery analysis to estimate the information share of dual-class shares across domestic and foreign markets. By examining both common and preferred shares, we aim to extract information not only about the fundamental value of the rm, but also about the dual-class premium. In particular, our interest lies on the price discovery mechanism regulating the prices of common and preferred shares in the BM&FBovespa as well as the prices of their ADR counterparts in the NYSE and in the Arca platform. However, in the presence of contemporaneous correlation between the innovations, the standard information share measure depends heavily on the ordering we attribute to prices in the system. To remain agnostic about which are the leading share class and market, one could for instance compute some weighted average information share across all possible orderings. This is extremely inconvenient given that we are dealing with 2 share prices in Brazil, 4 share prices in the US, plus the exchange rate (and hence over 5,000 permutations!). We thus develop a novel methodology to carry out price discovery analyses that does not impose any ex-ante assumption about which share class or trading platform conveys more information about shocks in the fundamental price. As such, our procedure yields a single measure of information share, which is invariant to the ordering of the variables in the system. Simulations of a simple market microstructure model show that our information share estimator works pretty well in practice. We then employ transactions data to study price discovery in two dual-class Brazilian stocks and their ADRs. We uncover two interesting ndings. First, the foreign market is at least as informative as the home market. Second, shocks in the dual-class premium entail a permanent e ect in normal times, but transitory in periods of nancial distress. We argue that the latter is consistent with the expropriation of preferred shareholders as a class.

The effects of accountability on higher education

This paper analyzes the effect of an accountability system in the Brazilian college market. For each discipline, colleges were assigned a grade that depended on the scores of their students on the ENC, an annual mandatory exam. Those grades were then disclosed to the public, giving applicants information about college quality. The system also established rewards and penalties based on the colleges’ grades. I find that the ENC had a substantial effect on different measures of college quality, such as faculty education and the proportion of full-time faculty. The detailed information from this unique dataset and the fact that the ENC started being required for different disciplines in different years allow me to control for time-specific effects, thus minimizing the bias caused by policy endogeneity. Indeed, I find strong evidence on the importance of controlling for time-specific effects: estimates of the impact of the ENC on college quality more than double when I do not take those effects into account. The ENC also affects positively the ratio between applicants and vacancies, and it decreases the faculty and the entering class sizes. The results suggest that its introduction fostered competition and favored colleges entering the market.