A stochastic discount factor approach to asset pricing using panel data

Using the Pricing Equation, in a panel-data framework, we construct a novel consistent estimator of the stochastic discount factor (SDF) mimicking portfolio which relies on the fact that its logarithm is the ìcommon featureîin every asset return of the economy. Our estimator is a simple function of asset returns and does not depend on any parametric function representing preferences, making it suitable for testing di§erent preference speciÖcations or investigating intertemporal substitution puzzles.

A panel data approach to economic forecasting: the bias-corrected average forecast

In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular, it is asymptotically equivalent to the conditional expectation, i.e., has an optimal limiting mean-squared error. We also develop a zeromean test for the average bias and discuss the forecast-combination puzzle in small and large samples. Monte-Carlo simulations are conducted to evaluate the performance of the feasible bias-corrected average forecast in finite samples. An empirical exercise based upon data from a well known survey is also presented. Overall, theoretical and empirical results show promise for the feasible bias-corrected average forecast.

A panel data approach to economic forecasting: the bias-corrected average forecast

In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular it delivers a zero-limiting mean-squared error if the number of forecasts and the number of post-sample time periods is sufficiently large. We also develop a zero-mean test for the average bias. Monte-Carlo simulations are conducted to evaluate the performance of this new technique in finite samples. An empirical exercise, based upon data from well known surveys is also presented. Overall, these results show promise for the bias-corrected average forecast.

A panel data approach to economic forecasting: the bias-corrected average forecast

In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular, it is asymptotically equivalent to the conditional expectation, i.e., has an optimal limiting mean-squared error. We also develop a zeromean test for the average bias and discuss the forecast-combination puzzle in small and large samples. Monte-Carlo simulations are conducted to evaluate the performance of the feasible bias-corrected average forecast in finite samples. An empirical exercise, based upon data from a well known survey is also presented. Overall, these results show promise for the feasible bias-corrected average forecast.

Human capital and innovation: evidence from panel cointegration tests

Panel cointegration techniques applied to pooled data for 27 economies for the period 1960-2000 indicate that: i) government spending in education and innovation indicators are cointegrated; ii) education hierarchy is relevant when explaining innovation; and iii) the relation between education and innovation can be obtained after an accommodation of a level structural break.

A stochastic discount factor approach to asset pricing using panel data asymptotics

Using the Pricing Equation in a panel-data framework, we construct a novel consistent estimator of the stochastic discount factor (SDF) which relies on the fact that its logarithm is the "common feature" in every asset return of the economy. Our estimator is a simple function of asset returns and does not depend on any parametric function representing preferences. The techniques discussed in this paper were applied to two relevant issues in macroeconomics and finance: the first asks what type of parametric preference-representation could be validated by asset-return data, and the second asks whether or not our SDF estimator can price returns in an out-of-sample forecasting exercise. In formal testing, we cannot reject standard preference specifications used in the macro/finance literature. Estimates of the relative risk-aversion coefficient are between 1 and 2, and statistically equal to unity. We also show that our SDF proxy can price reasonably well the returns of stocks with a higher capitalization level, whereas it shows some difficulty in pricing stocks with a lower level of capitalization.

Growth and exchange rate volatility: a panel data analysis

The aim of this article is to assess the role of real effective exchange rate volatility on long-run economic growth for a set of 82 advanced and emerging economies using a panel data set ranging from 1970 to 2009. With an accurate measure for exchange rate volatility, the results for the two-step system GMM panel growth models show that a more (less) volatile RER has significant negative (positive) impact on economic growth and the results are robust for different model specifications. In addition to that, exchange rate stability seems to be more important to foster long-run economic growth than exchange rate misalignment

The impact of OFDI on economic growth countries. An econometric approach using panel data and time-series evidence

The thesis at hand adds to the existing literature by investigating the relationship between economic growth and outward foreign direct investments (OFDI) on a set of 16 emerging countries. Two different econometric techniques are employed: a panel data regression analysis and a time-series causality analysis. Results from the regression analysis indicate a positive and significant correlation between OFDI and economic growth. Additionally, the coefficient for the OFDI variable is robust in the sense specified by the Extreme Bound Analysis (EBA). On the other hand, the findings of the causality analysis are particularly heterogeneous. The vector autoregression (VAR) and the vector error correction model (VECM) approaches identify unidirectional Granger causality running either from OFDI to GDP or from GDP to OFDI in six countries. In four economies causality among the two variables is bidirectional, whereas in five countries no causality relationship between OFDI and GDP seems to be present.

Non-durable consumption and real-estate prices in Brazil: panel-data analysis at the state level

Housing is an important component of wealth for a typical household in many countries. The objective of this paper is to investigate the effect of real-estate price variation on welfare, trying to close a gap between the welfare literature in Brazil and that in the U.S., the U.K., and other developed countries. Our first motivation relates to the fact that real estate is probably more important here than elsewhere as a proportion of wealth, which potentially makes the impact of a price change bigger here. Our second motivation relates to the fact that real-estate prices boomed in Brazil in the last five years. Prime real estate in Rio de Janeiro and São Paulo have tripled in value in that period, and a smaller but generalized increase has been observed throughout the country. Third, we have also seen a recent consumption boom in Brazil in the last five years. Indeed, the recent rise of some of the poor to middle-income status is well documented not only for Brazil but for other emerging countries as well. Regarding consumption and real-estate prices in Brazil, one cannot imply causality from correlation, but one can do causal inference with an appropriate structural model and proper inference, or with a proper inference in a reduced-form setup. Our last motivation is related to the complete absence of studies of this kind in Brazil, which makes ours a pioneering study. We assemble a panel-data set for the determinants of non-durable consumption growth by Brazilian states, merging the techniques and ideas in Campbell and Cocco (2007) and in Case, Quigley and Shiller (2005). With appropriate controls, and panel-data methods, we investigate whether house-price variation has a positive effect on non-durable consumption. The results show a non-negligible significant impact of the change in the price of real estate on welfare consumption), although smaller then what Campbell and Cocco have found. Our findings support the view that the channel through which house prices affect consumption is a financial one.

The country of origin effect: tracking Brazil’s brand image among italian consumers

O Brasil se tornou nos últimos anos uma importante economia no cenário global. O país sempre foi visto basicamente como um exportador de commodities; no entanto, devido ao crescimento de investimentos e ao desenvolvimento de diversos setores econômicos, essa imagem mudou e está em processo de reconstrução. As empresas para poderem se diferenciarem e ganharem competitividade, precisam entender profundamente como consumidores percebem e avaliam os produtos brasileiros atualmente. É de extrema importância para o Brasil entender o potencial competitivo para posicionar-se corretamente contra as nações desenvolvidas e altamente industrializadas, bem como contra as gigantes economias emergentes como Rússia, China e Índia. Este estudo explora como um grupo de respondentes italianos avaliam a categoria de cosméticos brasileiros. Foi conduzida uma pesquisa exploratória com o objetivo de identificar dentre quarto categorias diferentes de produtos qual seria analisada em detalhe posteriormente por meio de entrevistas em profundidade. Das 4 categorias diferentes de produtos (vestuário, cosméticos, frutas frescas e carnes) foi selecionada a categoria cosméticos que obteve a menor avaliação geral no estudo exploratório. Após a escolha da categoria a ser analisada, uma pesquisa qualitativa com 7 entrevistas em profundidade com consumidores italianos residentes no Brasil foram realizadas. Das pesquisas realizadas são obtidas as percepções de um grupo de consumidores sobre os atributos e associações psicológicas sobre a categoria de cosméticos brasileiros. A análise será conduzida utilizando 3 componentes para explicar a atitude de consumo: a cognitiva, a conativa e a emocional. Deste modo, os resultados e conclusões são apresentados e explorados. Ademais, um mapa psicológico das atitudes sobre a categoria analisada perante o público estudado será desenvolvido, com o objetivo de pontuar suas forças e fraquezas. Desta análise final será possível ter uma visão ampla das características, bem como dos pontos críticos que precisam ser melhorados no futuro para que o Brasil seja uma nação competitiva na indústria de cosméticos e também algumas questões que podem ser estendidas a outros setores da economia brasileira.

A comparative study of internationalization potential for Italian SMEs in the fashion industry in Brazil and Russia

Este estudo tem como objetivo desenvolver uma análise comparativa do potencial de internacionalização na Rússia e no Brasil para as PME italianas que operam na indústria da moda. Depois de apresentar ao leitor as principais áreas cobertas, tais como, o contexto, a metodologia e revisão da literatura, é fornecido um panorama macroeconômico das áreas geográficas composto, englobando um estudo específico sobre o estado atual da economia e da demanda para os bens italianos. O estudo, introduzindo o leitor na indústria de moda italiana, suas principais características e o desempenho atual, já evidencia a busca pela internacionalização. As conclusões decorrentes das análises macroeconômicas funcionam como introdução à visão geral da indústria de moda italiana, uma indústria que representa, fortemente, o "Made in Italy" no exterior. A breve análise da história desta indústria, principais características e situação atual irão, então, sugerir que a internacionalização é o caminho mais viável às PME, para se recuperarem dos anos turbulentos da crise. Entre o vasto conjunto de opções geográficas que as PME têm para abraçar internacionalização, este estudo tem como objetivo fornecer duas análises sobre a indústria da moda: o mercado russo e o brasileiro. A análise, com base no quadro de capacidade de ‘resposta internacional’ proposto por Bartlet e Ghoshal (1989), apresenta os resultados de um conjunto de pesquisas e entrevistas realizadas no Brasil, na Itália e na Rússia, sob a forma de uma análise comparativa dos dois mercados-alvo. A análise evidenciará os drivers de mercado, custo, competitividade e legislação que justificam o processo de internacionalização em ambos os mercados. Os resultados levam à conclusão e às recomendações que os dois mercados representam duas oportunidades muito diferentes para as PME da indústria da moda italiana.

Cultures at work: the case of italian expatriates in Brazil

Esta tese de mestrado tem por intenção entender quais são as mais importantes diferenças culturais para os expatriados Italianos que trabalham no Brasil e aprender as implicações práticas para o ambiente de trabalho. O método utilizado foi qualitativo, com 23 entrevistas em profundidade com expatriados italianos de nível médio ate top management, com experiência de trabalho no Brasil. Os resultados indicam que os expatriados Italianos experimentam dificuldades com as diferenças em termos de comunicação, distinção entre as esfera profissional e privada, distancia do poder e planejamento. Em contrapartida, outros fatores como a discriminação positiva para os estrangeiros, diferenças em geneder equality e masculinidade, assim como com a atitude positiva dos workplaces e uma economia em crescimento, todos influenciam de maneira positiva a experiência do expatriado. Enfim, algumas sugestões práticas sobre os efeitos das diferenças culturais e sobre a estruturação de um possível cross-cultural training são expostas.

Elasticity of substitution between capital and labor: a panel data approach

This paper estimates the elasticity of substitution of an aggregate production function. The estimating equation is derived from the steady state of a neoclassical growth model. The data comes from the PWT in which different countries face different relative prices of the investment good and exhibit different investment-output ratios. Then, using this variation we estimate the elasticity of substitution. The novelty of our approach is that we use dynamic panel data techniques, which allow us to distinguish between the short and the long run elasticity and handle a host of econometric and substantive issues. In particular we accommodate the possibility that different countries have different total factor productivities and other country specific effects and that such effects are correlated with the regressors. We also accommodate the possibility that the regressors are correlated with the error terms and that shocks to regressors are manifested in future periods. Taking all this into account our estimation resuIts suggest that the Iong run eIasticity of substitution is 0.7, which is Iower than the eIasticity that had been used in previous macro-deveIopment exercises. We show that this lower eIasticity reinforces the power of the neoclassical mo deI to expIain income differences across countries as coming from differential distortions.