860 resultados para Volatility Models, Volatility, Equity Markets


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O impacto positivo dos investimentos de Private Equity e Venture Capital (PE/VC) na economia e no mercado de capitais está amplamente documentado pela literatura acadêmica internacional. Nos últimos 40 anos, diversos autores têm estudado a influência desta classe de ativos na criação, no desenvolvimento e na transformação de milhares de empresas ao redor do mundo, especialmente nos Estados Unidos. Entretanto, os estudos sobre os determinantes da captação de recursos de PE/VC têm se desenvolvido apenas mais recentemente, e seus resultados estão longe de ser uma unanimidade. No Brasil, a pesquisa sobre a indústria de PE/VC ainda é escassa. Embora a indústria local venha crescendo rapidamente desde 2006, tendo alcançado US$36,1 bilhões em capital comprometido em 2009, ainda não há estudos sobre as variáveis que influenciam na alocação de capital pelos investidores nesta modalidade de investimento no Brazil. Entender esta dinâmica é importante para o equilíbrio e a eficiência de mercado. Baseado no trabalho de Gompers e Lerner (1998) sobre os determinantes da indústria de PE/VC nos Estados Unidos, este trabalho contribui com a literatura de PE/VC ao: (i) revisitar o começo desta indústria no Brasil; e (ii) identificar quais as variáveis influenciam no desenvolvimento da indústria de PE/VC local. Os resultados deste estudo contribuem para o desenvolvimento acadêmico da indústria de PE/VC no Brasil. Além disso, as discussões aqui apresentadas poderão impactar outras áreas de estudo que são permeadas pelo tema, tais como Gestão de Investimentos, Governança Corporativa, Empreendedorismo e Estratégia. Profissionais de mercado também deverão se interessar no trabalho. As discussões sobre a história e os fundamentos da indústria fornecem aos investidores, empreendedores, gestores de investimentos e formuladores de políticas públicas, entre outros, um melhor entendimento sobre como o ecossistema de PE/VC funciona no Brasil.

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The aim of this paper is to propose new methods to measure the effective exposure to country risk of emerging-market companies. Starting from Damodaran (2003), we propose seven new approaches and a revised CAPM for emerging markets companies. The “Prospective Lambda” represents the effective exposure according to analysts’ estimates of growth. The “Relative Lambda” relies on the firm value estimated through a relative valuation. The “Retrospective Lambda” represents the ex-post effective exposure to country risk. The “Company Effective Risk Premium” is a generalization of the Retrospective Lambda, and expresses the premium effectively requested by investors to invest in that specific company in the past year. “The Actual Lambda” and the “Company Actual Risk Premium” represent, respectively, the actual exposure to country risk of a company and the actual premium requested by investors to invest in that specific company. The “Industry Lambda” reflects the median exposure to country risk of the industry in which the company belongs. We tested our new measures of exposure to country risk on the Latin American emerging markets companies according to the classification of the MSCI Emerging Markets Latin America Index. The results confirm that the new approaches can be effectively applied by financial analysts to stable-growth companies that operate in emerging markets and to mature markets companies that operate in emerging markets, providing with a more reliable estimate of both the premium effectively requested by investors in the past and the actual premium. Applying the new approaches, the cost of equity reflects the effective exposure of a company to country risk without being over- or underestimated, as is the case with other existing approaches.

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Este trabalho visa analisar a existência de rent-sharing no setor industrial brasileiro entre os anos de 2002 e 2012. Este tema já foi amplamente abordado pela literatura internacional, onde é possível identificar evidências que corroboram a existência de rent-sharing nas economias desenvolvidas. Porém, para a economia brasileira este tema ainda foi pouco explorado e não temos conhecimento de estudos empíricos realizados para os anos mais recentes. A fim de examinar empiricamente a relação entre os lucros das firmas e a remuneração de seus trabalhadores, foram estimados dois modelos. Primeiramente, um modelo em cross section, que tem como unidade de observação o trabalhador, utilizando uma base de dados estruturada através do cruzamento da RAIS e da PIA. Também foi analisado se esta correlação ocorre de forma homogênea entre os níveis de qualificação dos trabalhadores. Em seguida, foi realizada a estimativa em painel dinâmico, cujo nível de agregação é o setor industrial, prevendo também a correção para o clássico problema de endogeneidade entre os lucros das firmas e os salários dos trabalhadores por meio de variáveis instrumentais. Os resultados indicam que um aumento no nível de rentabilidade das firmas gera, no longo prazo, uma elevação dos salários pagos naquele setor, porém este efeito é de baixa magnitude.

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Recently regulated Brazilian life and pension products offer a benefit structure composed of minimum guaranteed annual rate, in°ation adjustment according to a price index and participation on an investment fund performance. We present a valuation model for these products. We establish a fair condition relationship between minimum guarantees and participation rates, and explore its behavior over a space of maturities, interest rates, and also fund and price index volatilities and correlation. Besides consistency to reference models, we found that the effect of the fund volatility is conditioned to the price index volatility level and the correlation between them.

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The present paper has the purpose of investigate the dynamics of the volatility structure in the shrimp prices in the Brazilian fish market. Therefore, a description of the initial aspects of the shrimp price series was made. From this information, statistics tests were made and selected univariate models to be price predictors. Then, it was verified the existence of relationship of long-term equilibrium between the Brazilian and American imported shrimp and if, confirmed the relationship, whether or not there is a causal link between these assets, considering that the two countries had presented trade relations over the years. It is presented as an exploratory research of applied nature with quantitative approach. The database was collected through direct contact with the Companhia de Entrepostos e Armazéns Gerais de São Paulo (CEAGESP) and on the official website of American import, National Marine Fisheries Service - National Oceanic and Atmospheric Administration (NMFS- NOAA). The results showed that the great variability in the active price is directly related with the gain and loss of the market agents. The price series presents a strong seasonal and biannual effect. The average structure of price of shrimp in the last 12 years was R$ 11.58 and external factors besides the production and marketing (U.S. antidumping, floods and pathologies) strongly affected the prices. Among the tested models for predicting prices of shrimp, four were selected, which through the prediction methodologies of one step forward of horizon 12, proved to be statistically more robust. It was found that there is weak evidence of long-term equilibrium between the Brazilian and American shrimp, where equivalently, was not found a causal link between them. We concluded that the dynamic pricing of commodity shrimp is strongly influenced by external productive factors and that these phenomena cause seasonal effects in the prices. There is no relationship of long-term stability between the Brazilian and American shrimp prices, but it is known that Brazil imports USA production inputs, which somehow shows some dependence productive. To the market agents, the risk of interferences of the external prices cointegrated to Brazilian is practically inexistent. Through statistical modeling is possible to minimize the risk and uncertainty embedded in the fish market, thus, the sales and marketing strategies for the Brazilian shrimp can be consolidated and widespread

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Anhydrous ethanol is used in chemical, pharmaceutical and fuel industries. However, current processes for obtaining it involve high cost, high energy demand and use of toxic and pollutant solvents. This problem occurs due to the formation of an azeotropic mixture of ethanol + water, which does not allow the complete separation by conventional methods such as simple distillation. As an alternative to currently used processes, this study proposes the use of ionic liquids as solvents in extractive distillation. These are organic salts which are liquids at low temperatures (under 373,15 K). They exhibit characteristics such as low volatility (almost zero/ low vapor ), thermal stability and low corrosiveness, which make them interesting for applications such as catalysts and as entrainers. In this work, experimental data for the vapor pressure of pure ethanol and water in the pressure range of 20 to 101 kPa were obtained as well as for vapor-liquid equilibrium (VLE) of the system ethanol + water at atmospheric pressure; and equilibrium data of ethanol + water + 2-HDEAA (2- hydroxydiethanolamine acetate) at strategic points in the diagram. The device used for these experiments was the Fischer ebulliometer, together with density measurements to determine phase compositions. The experimental data were consistent with literature data and presented thermodynamic consistency, thus the methodology was properly validated. The results were favorable, with the increase of ethanol concentration in the vapor phase, but the increase was not shown to be pronounced. The predictive model COSMO-SAC (COnductor-like Screening MOdels Segment Activity Coefficient) proposed by Lin & Sandler (2002) was studied for calculations to predict vapor-liquid equilibrium of systems ethanol + water + ionic liquids at atmospheric pressure. This is an alternative for predicting phase equilibrium, especially for substances of recent interest, such as ionic liquids. This is so because no experimental data nor any parameters of functional groups (as in the UNIFAC method) are needed

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Researches in Requirements Engineering have been growing in the latest few years. Researchers are concerned with a set of open issues such as: communication between several user profiles involved in software engineering; scope definition; volatility and traceability issues. To cope with these issues a set of works are concentrated in (i) defining processes to collect client s specifications in order to solve scope issues; (ii) defining models to represent requirements to address communication and traceability issues; and (iii) working on mechanisms and processes to be applied to requirements modeling in order to facilitate requirements evolution and maintenance, addressing volatility and traceability issues. We propose an iterative Model-Driven process to solve these issues, based on a double layered CIM to communicate requirements related knowledge to a wider amount of stakeholders. We also present a tool to help requirements engineer through the RE process. Finally we present a case study to illustrate the process and tool s benefits and usage

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There is a well-developed framework, the Black-Scholes theory, for the pricing of contracts based on the future prices of certain assets, called options. This theory assumes that the probability distribution of the returns of the underlying asset is a Gaussian distribution. However, it is observed in the market that this hypothesis is flawed, leading to the introduction of a fudge factor, the so-called volatility smile. Therefore, it would be interesting to explore extensions of the Black-Scholes theory to non-Gaussian distributions. In this paper, we provide an explicit formula for the price of an option when the distributions of the returns of the underlying asset is parametrized by an Edgeworth expansion, which allows for the introduction of higher independent moments of the probability distribution, namely skewness and kurtosis. We test our formula with options in the Brazilian and American markets, showing that the volatility smile can be reduced. We also check whether our approach leads to more efficient hedging strategies of these instruments. (C) 2004 Elsevier B.V. All rights reserved.

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In this paper we study the possible microscopic origin of heavy-tailed probability density distributions for the price variation of financial instruments. We extend the standard log-normal process to include another random component in the so-called stochastic volatility models. We study these models under an assumption, akin to the Born-Oppenheimer approximation, in which the volatility has already relaxed to its equilibrium distribution and acts as a background to the evolution of the price process. In this approximation, we show that all models of stochastic volatility should exhibit a scaling relation in the time lag of zero-drift modified log-returns. We verify that the Dow-Jones Industrial Average index indeed follows this scaling. We then focus on two popular stochastic volatility models, the Heston and Hull-White models. In particular, we show that in the Hull-White model the resulting probability distribution of log-returns in this approximation corresponds to the Tsallis (t-Student) distribution. The Tsallis parameters are given in terms of the microscopic stochastic volatility model. Finally, we show that the log-returns for 30 years Dow Jones index data is well fitted by a Tsallis distribution, obtaining the relevant parameters. (c) 2007 Elsevier B.V. All rights reserved.

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We investigate the Heston model with stochastic volatility and exponential tails as a model for the typical price fluctuations of the Brazilian São Paulo Stock Exchange Index (IBOVESPA). Raw prices are first corrected for inflation and a period spanning 15 years characterized by memoryless returns is chosen for the analysis. Model parameters are estimated by observing volatility scaling and correlation properties. We show that the Heston model with at least two time scales for the volatility mean reverting dynamics satisfactorily describes price fluctuations ranging from time scales larger than 20min to 160 days. At time scales shorter than 20 min we observe autocorrelated returns and power law tails incompatible with the Heston model. Despite major regulatory changes, hyperinflation and currency crises experienced by the Brazilian market in the period studied, the general success of the description provided may be regarded as an evidence for a general underlying dynamics of price fluctuations at intermediate mesoeconomic time scales well approximated by the Heston model. We also notice that the connection between the Heston model and Ehrenfest urn models could be exploited for bringing new insights into the microeconomic market mechanics. (c) 2005 Elsevier B.V. All rights reserved.

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Includes bibliography

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Incluye Bibliografía

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Includes bibliography

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Includes bibliography