4 resultados para Broilers - Diets based on corn or sorghum
em Repositório digital da Fundação Getúlio Vargas - FGV
Resumo:
This paper proposes unit tests based on partially adaptive estimation. The proposed tests provide an intermediate class of inference procedures that are more efficient than the traditional OLS-based methods and simpler than unit root tests based on fully adptive estimation using nonparametric methods. The limiting distribution of the proposed test is a combination of standard normal and the traditional Dickey-Fuller (DF) distribution, including the traditional ADF test as a special case when using Gaussian density. Taking into a account the well documented characteristic of heavy-tail behavior in economic and financial data, we consider unit root tests coupled with a class of partially adaptive M-estimators based on the student-t distributions, wich includes te normal distribution as a limiting case. Monte Carlo Experiments indicate that, in the presence of heavy tail distributions or innovations that are contaminated by outliers, the proposed test is more powerful than the traditional ADF test. We apply the proposed test to several macroeconomic time series that have heavy-tailed distributions. The unit root hypothesis is rejected in U.S. real GNP, supporting the literature of transitory shocks in output. However, evidence against unit roots is not found in real exchange rate and nominal interest rate even haevy-tail is taken into a account.
Resumo:
This paper constructs a unit root test baseei on partially adaptive estimation, which is shown to be robust against non-Gaussian innovations. We show that the limiting distribution of the t-statistic is a convex combination of standard normal and DF distribution. Convergence to the DF distribution is obtaineel when the innovations are Gaussian, implying that the traditional ADF test is a special case of the proposed testo Monte Carlo Experiments indicate that, if innovation has heavy tail distribution or are contaminated by outliers, then the proposed test is more powerful than the traditional ADF testo Nominal interest rates (different maturities) are shown to be stationary according to the robust test but not stationary according to the nonrobust ADF testo This result seems to suggest that the failure of rejecting the null of unit root in nominal interest rate may be due to the use of estimation and hypothesis testing procedures that do not consider the absence of Gaussianity in the data.Our results validate practical restrictions on the behavior of the nominal interest rate imposed by CCAPM, optimal monetary policy and option pricing models.
Resumo:
Exchange rates are important macroeconomic prices and changes in these rates a ect economic activity, prices, interest rates, and trade ows. Methodologies have been developed in empirical exchange rate misalignment studies to evaluate whether a real e ective exchange is overvalued or undervalued. There is a vast body of literature on the determinants of long-term real exchange rates and on empirical strategies to implement the equilibrium norms obtained from theoretical models. This study seeks to contribute to this literature by showing that the global vector autoregressions model (GVAR) proposed by Pesaran and co-authors can add relevant information to the literature on measuring exchange rate misalignment. Our empirical exercise suggests that the estimate exchange rate misalignment obtained from GVAR can be quite di erent to that using the traditional cointegrated time series techniques, which treat countries as detached entities. The di erences between the two approaches are more pronounced for small and developing countries. Our results also suggest a strong interdependence among eurozone countries, as expected
Resumo:
As stated by Hoffmann and Coste-Manière (2012) “The web is a mass medium that contrast completely with the traditional codes of exclusivity associated with the luxury industry, and has long been simply rejected by the luxury industry for being an illegitimate distribution channel.” Meanwhile this market presents an incomparable pace of growth and is gradually changing the existing retailing business model and companies must be aware of this change and capable to adapt to it. The internet and cross-border sales already changed the competition throughout retailing and it will increase even more, so companies must be ready to face it. Internet has shown its great opportunity for all markets, although luxury/premium market is not yet taking the proper advantage of its potential, but the necessity to be an omnichannel business strategy is growing. This paper presents an exploratory research based on a case study of how premium fashion Brazilian brands are using Farfetch, e-commerce, as an entry market strategy and how this affects them. The research question of this study is: How is Farfetch helping on the internationalization of Brazilian premium fashion brands?, and in order to answer it was conducted an in-depth interview with the Brazilian head of business development of Farfetch, apart an extensive secondary data research. As expected the study found a list of trade-offs of using an e-commerce, luxury specialized, with a marketplace approach to the brands willing to internationalize. As stated by Altagamma and McKinsey (2015) study “[...] luxury brands have no choice but to embrace the digital era and become truly omnichannel. This will require them a radical rethinking of both their customer experience of their consumer engagement strategy.” Looking either from the Farfetch point of view, trying to understand why they offer this opportunity to the brands, or also from the brand side if this is a manageable approach. This study presents a contribution for both sides, trying to give tools to the brands on understanding the internationalization reasons and approach, as well as explaining Farfetch business model, and the advantages it can bring to them, at the same time of a general market trend analysis for Farfecth.