Realized volatility: evidence from Brazil

Using intraday data for the most actively traded stocks on the São Paulo Stock Market (BOVESPA) index, this study considers two recently developed models from the literature on the estimation and prediction of realized volatility: the Heterogeneous Autoregressive Model of Realized Volatility (HAR-RV), developed by Corsi (2009), and the Mixed Data Sampling model (MIDAS-RV), developed by Ghysels et al. (2004). Using measurements to compare in-sample and out-of-sample forecasts, better results were obtained with the MIDAS-RV model for in-sample forecasts. For out-of-sample forecasts, however, there was no statistically signi cant di¤erence between the models. We also found evidence that the use of realized volatility induces distributions of standardized returns that are closer to normal

The forward and the equity-premium puzzles: a straightforward test of whether they are two symptoms of the same illness

We build a stochastic discount factor—SDF— using information on US domestic financial data only, and provide evidence that it accounts for foreign markets stylized facts that escape SDF’s generated by consumption based models. By interpreting our SDF as the projection of the pricing kernel from a fully specified model in the space of returns, our results indicate that a model that accounts for the behavior of domestic assets goes a long way toward accounting for the behavior of foreign assets prices. In our tests, we address predictability, a defining feature of the Forward Premium Puzzle—FPP— by using instruments that are known to forecast excess returns in the moments restrictions associated with Euler equations both in the equity and the foreign markets.

Os desafios de comunicação da empresa com posicionamento mais premium frente a classe média emergente

Sob o acrônimo BOP (Bottom of Pyramid), muito se tem discutido sobre as vantagens empresariais de atender a uma classe emergente de aproximadamente 4 bilhões de pessoas ao redor do mundo (Prahalad 2005), como uma das formas de se defender da estagnação do consumo nos países mais desenvolvidos. Se hoje a discussão já está mais bem delineada, é muito em função de artigos de estudiosos como Prahalad, Hammond e Yunus que colocaram a base da pirâmide no centro do debate. Há empresas referência mundial nessa transição de atendimento para o BOP, como a GE na China ou a Unilever na Índia. Mas para o caso brasileiro, parece ainda não haver igual expressão, sendo a emergência do BOP mais recente. Algumas dessas empresas orientadas para as classes emergentes têm mudado seu modelo de negócios. Outras criam submarcas voltadas às classes emergentes e sofrem os impactos dessas decisões sobre a arquitetura de marcas. E, finalmente, há empresas que utilizam um conjunto de signos e códigos de comunicação na oferta de seus produtos e serviços que acreditam ser bem aceitos transversalmente nas classes sociais. O objetivo geral da dissertação foi avaliar quais códigos e signos de comunicação as empresas com posicionamento premium devem utilizar numa comunicação com essa classe emergente, sem correr o risco de afastar seu público-alvo original (das classes AB). O método inclui a ferramenta denominada Value Reframing (Reenquadramento de Valor), para a busca de novos valores para um produto ou serviço em um novo contexto de mercado. Tal ferramenta não prevê teste de rejeição dentro do público original. Então foram coletados: 1) os valores mais bem aceitos pela nova classe média; 2) os valores avaliados e não rejeitados por consumidores da classe AB. Em conclusão, é possível utilizar signos e códigos com aceitação nas duas classes (como uso do humor nas mensagens ou a sensação de que a mensagem foi direcionada para a pessoa). A adoção desses elementos podem ser mais bem sucedidos se acompanhados de uma discussão sobre o modelo de negócios vigente, para atender melhor a nova classe média.

A note on the forward and the equity-premium puzzles: two symptoms of the same illness?

We build a stochastic discount factor—SDF— using information on US domestic financial data only, and provide evidence that it accounts for foreign markets stylized facts that escape SDF’s generated by consumption based models. By interpreting our SDF as the projection of the pricing kernel from a fully specified model in the space of returns, our results indicate that a model that accounts for the behavior of domestic assets goes a long way toward accounting for the behavior of foreign assets prices. In our tests, we address predictability, a defining feature of the Forward Premium Puzzle—FPP— by using instruments that are known to forecast excess returns in the moments restrictions associated with Euler equations both in the equity and the foreign markets.

Coordenação na cadeia produtiva de ovinocultura : o caso do Conselho Regulador Herval Premium

O presente estudo foi desenvolvido a fim de identificar iniciativas de coordenação na cadeia de ovinocultura. Após um período de desvalorização da ovinocultura, a cadeia produtiva encontra-se em um novo cenário frente as oportunidades de mercado para carne ovina e ao potencial produtivo da ovinocultura no estado do Rio Grande do Sul. Diante deste novo cenário, produtores rurais da região da Serra do Sudeste buscaram uma forma de atuação diferenciada na cadeia vislumbrando obter resultados econômicos mais satisfatórios a partir da produção, através da agregação de valor aos produtos e integração dos agentes, aumentando a competitividade da cadeia de ovinocultura. Esta proposta de atuação originou o Conselho Regulador do Cordeiro Herval Premium. Objetivo geral do estudo é analisar a forma de atuação da iniciativa de coordenação do Conselho Regulador do Cordeiro Herval Premium na cadeia de ovinocultura do Rio Grande do Sul. Para atingir este objetivo no referencial teórico foram utilizadas as teorias de cadeia produtiva, cadeia de suprimentos, canais de distribuição, coordenação e alianças estratégicas. Como método de pesquisa foi utilizado o estudo de caso do Conselho Regulador do Cordeiro Herval Premium. A análise dos dados primários coletados a partir das entrevistas com os agentes participantes e dos dados secundários referentes a atuação da iniciativa de coordenação, permitiu a descrição do caso e obtenção dos resultados da pesquisa. Quais sejam: o Conselho Regulador do Cordeiro Herval Premium atua na cadeia da carne ovina como uma organização associativa de produtores com objetivo de coordenar a oferta de cordeiros oriundos de distintos estabelecimentos na região da Serra do Sudeste, através de um programa de seleção que garante padrão de qualidade e origem dos produtos, agregando valor a carne ovina. A coordenação na cadeia produtiva é exercida via aliança estratégica formada entre o Conselho e dois distribuidores. O Conselho coordena a cadeia de suprimentos de carne ovina, na medida que organiza o abate de cordeiros e fornece o produto de acordo com as exigências dos consumidores para atender a demanda do mercado. Por sua vez a aliança do Conselho com os distribuidores garante a estabilidade de um canal de distribuição constante para o escoamento da produção dos participantes do programa, o que lhes permite segurança de remuneração e fluxo de renda ao longo do ano.

Modeling and predicting the CBOE market volatility index

This paper performs a thorough statistical examination of the time-series properties of the daily market volatility index (VIX) from the Chicago Board Options Exchange (CBOE). The motivation lies not only on the widespread consensus that the VIX is a barometer of the overall market sentiment as to what concerns investors' risk appetite, but also on the fact that there are many trading strategies that rely on the VIX index for hedging and speculative purposes. Preliminary analysis suggests that the VIX index displays long-range dependence. This is well in line with the strong empirical evidence in the literature supporting long memory in both options-implied and realized variances. We thus resort to both parametric and semiparametric heterogeneous autoregressive (HAR) processes for modeling and forecasting purposes. Our main ndings are as follows. First, we con rm the evidence in the literature that there is a negative relationship between the VIX index and the S&P 500 index return as well as a positive contemporaneous link with the volume of the S&P 500 index. Second, the term spread has a slightly negative long-run impact in the VIX index, when possible multicollinearity and endogeneity are controlled for. Finally, we cannot reject the linearity of the above relationships, neither in sample nor out of sample. As for the latter, we actually show that it is pretty hard to beat the pure HAR process because of the very persistent nature of the VIX index.

Essays on illiquidity premium

This dissertation is composed of three related essays on the relationship between illiquidity and returns. Chapter 1 describes the time-series properties of the relationship between market illiquidity and market return using both yearly and monthly datasets. We find that stationarized versions of the illiquidity measure have a positive, significant, and puzzling high premium. In Chapter 2, we estimate the response of illiquidity to a shock to returns, assuming that causality runs from returns to illiquidity and find that an increase in firms' returns lowers illiquidity. In Chapter 3 we take both effects into account and account for the endogeneity of returns and illiquidity to estimate the liquidity premium. We find evidence that the illiquidity premium is a smaller than the previous evidence suggests. Finally, Chapter 4 shows topics for future research where we describe a return decomposition with illiquidity costs.

Forecasting daily volatility using high frequency financial data

Aiming at empirical findings, this work focuses on applying the HEAVY model for daily volatility with financial data from the Brazilian market. Quite similar to GARCH, this model seeks to harness high frequency data in order to achieve its objectives. Four variations of it were then implemented and their fit compared to GARCH equivalents, using metrics present in the literature. Results suggest that, in such a market, HEAVY does seem to specify daily volatility better, but not necessarily produces better predictions for it, what is, normally, the ultimate goal. The dataset used in this work consists of intraday trades of U.S. Dollar and Ibovespa future contracts from BM&FBovespa.

The forward and the equity premium puzzles: two symptoms of the same illness?

The Forward Premium Puzzle (FPP) is how the empirical observation of a negative relation between future changes in the spot rates and the forward premium is known. Modeling this forward bias as a risk premium and under weak assumptions on the behavior of the pricing kernel, we characterize the potential bias that is present in the regressions where the FPP is observed and we identify the necessary and sufficient conditions that the pricing kernel has to satisfy to account for the predictability of exchange rate movements. Next, we estimate the pricing kernel applying two methods: i) one, du.e to Araújo et aI. (2005), that exploits the fact that the pricing kernel is a serial correlation common feature of asset prices, and ii) a traditional principal component analysis used as a procedure 1;0 generate a statistical factor modeI. Then, using on the sample and out of the sample exercises, we are able to show that the same kernel that explains the Equity Premi um Puzzle (EPP) accounts for the FPP in all our data sets. This suggests that the quest for an economic mo deI that generates a pricing kernel which solves the EPP may double its prize by simultaneously accounting for the FPP.

Hedging options in a garch environment: testing the term structure of stochastic volatility models

This paper develops a methodology for testing the term structure of volatility forecasts derived from stochastic volatility models, and implements it to analyze models of S&P500 index volatility. U sing measurements of the ability of volatility models to hedge and value term structure dependent option positions, we fmd that hedging tests support the Black-Scholes delta and gamma hedges, but not the simple vega hedge when there is no model of the term structure of volatility. With various models, it is difficult to improve on a simple gamma hedge assuming constant volatility. Ofthe volatility models, the GARCH components estimate of term structure is preferred. Valuation tests indicate that all the models contain term structure information not incorporated in market prices.

Simulation-based smoothing and filtering in factor stochastic volatility models : two econometric applications

In this article we use factor models to describe a certain class of covariance structure for financiaI time series models. More specifical1y, we concentrate on situations where the factor variances are modeled by a multivariate stochastic volatility structure. We build on previous work by allowing the factor loadings, in the factor mo deI structure, to have a time-varying structure and to capture changes in asset weights over time motivated by applications with multi pIe time series of daily exchange rates. We explore and discuss potential extensions to the models exposed here in the prediction area. This discussion leads to open issues on real time implementation and natural model comparisons.

Simulation -based smoothing and filtering in factor stochastic volatility models : two econometric applications (July-2001)

The past decade has wítenessed a series of (well accepted and defined) financial crises periods in the world economy. Most of these events aI,"e country specific and eventually spreaded out across neighbor countries, with the concept of vicinity extrapolating the geographic maps and entering the contagion maps. Unfortunately, what contagion represents and how to measure it are still unanswered questions. In this article we measure the transmission of shocks by cross-market correlation\ coefficients following Forbes and Rigobon's (2000) notion of shift-contagion,. Our main contribution relies upon the use of traditional factor model techniques combined with stochastic volatility mo deIs to study the dependence among Latin American stock price indexes and the North American indexo More specifically, we concentrate on situations where the factor variances are modeled by a multivariate stochastic volatility structure. From a theoretical perspective, we improve currently available methodology by allowing the factor loadings, in the factor model structure, to have a time-varying structure and to capture changes in the series' weights over time. By doing this, we believe that changes and interventions experienced by those five countries are well accommodated by our models which learns and adapts reasonably fast to those economic and idiosyncratic shocks. We empirically show that the time varying covariance structure can be modeled by one or two common factors and that some sort of contagion is present in most of the series' covariances during periods of economical instability, or crisis. Open issues on real time implementation and natural model comparisons are thoroughly discussed.

The firm size wage premium : a quantile analysis

Empirical evidence shows that larger firms pay higher wages than smaller ones. This wage premium is called the firm size wage effect. The firm size effect on wages may be attributed to many factors, as differentials on productivity, efficiency wage, to prevent union formation, or rent sharing. The present study uses quantile regression to investigate the finn size wage effect. By offering insight into who benefits from the wage premi um, quantile regression helps eliminate and refine possible explanations. Estimated results are consistent with the hypothesis that the higher wages paid by large firms can be explained by the difference in monitoring costs that large firms face. Results also suggest that more highly skilled workers are more often found at larger firms .

Stabilization, volatility and the equilibrium real exchange rate

In a general equilibrium model. we show that the value of the equilibrium real exchange rate is affected by its own volatility. Risk averse exporters. that make their exporting decision before observing the realization of the real exchange rate. choose to export less the more volatile is the real exchange rate. Therefore the trude balance and the variance of the real exchange rate are negatively related. An increase in the volatility of the real exchange rate for instance deteriorates the trade balance and to restore equilibrium a real exchange rate depreciation has to take place. In the empirical part of the paper we use the traditional (unconditional) standard deviation of RER changes as our measure of RER volatility.We describe the behavior of the RER volatility for Brazil,Argentina and Mexico.Monthly data for the three countries are used. and also daily data for Bruzil. Interesting patterns of volatility could be associated to the nature of the several stabilization plans adopted in those countries and to changes in the exchange rate regimes .