838 resultados para vector error correction model
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This paper studies the signalling effect of the consumption−wealth ratio (cay) on German stock returns via vector error correction models (VECMs). The effect of cay on U.S. stock returns has been recently confirmed by Lettau and Ludvigson with a two−stage method. In this paper, performance of the VECMs and the two−stage method are compared in both German and U.S. data. It is found that the VECMs are more suitable to study the effect of cay on stock returns than the two−stage method. Using the Conditional−Subset VECM, cay signals real stock returns and excess returns in both data sets significantly. The estimated coefficient on cay for stock returns turns out to be two times greater in U.S. data than in German data. When the two−stage method is used, cay has no significant effect on German stock returns. Besides, it is also found that cay signals German wealth growth and U.S. income growth significantly.
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Unemployment as an unintended consequence of social assistance recipiency: results from a time-series analysis of aggregated population data Does the frequency of unemployment have a tendency to increase the number of social assistance recipients, or does the relationship work the other way around? This article utilizes Swedish annual data on aggregated unemployment and means-tested social assistance recipiency in the period 1946–1990 and proposes a multiple time-series approach based on vector error-correction modelling to establish the direction of influence. First, we show that rates of unemployment and receipt of social assistance is co-integrated. Second, we demonstrate that adjustments to the long-run equilibrium are made through adjustments of the unemployment. This indicates that the level of unemployment reacts to changes in rates of social assistance recipiency rather than vice versa. It is also shown that lagged changes in the level of unemployment do not predict changes in rates of social assistance recipients in short-term. Together these findings demonstrate that the number of social assistance recipients does increase the number of unemployed in a period characterized by low unemployment and high employment.
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This paper examines the relationships among per capita CO2 emissions, per capita GDP and international trade based on panel data sets spanning the period 1960-2008: one for 150 countries and the others for sub-samples comprising OECD and Non-OECD economies. We apply panel unit root and cointegration tests, and estimate a panel error correction model. The results from the error correction model suggest that there are long-term relationships between the variables for the whole sample and for Non-OECD countries. Finally, Granger causality tests show that there is bi-directional short-term causality between per capita GDP and international trade for the whole sample and between per capita GDP and CO2 emissions for OECD countries
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This thesis consists of a summary and four self-contained papers. Paper [I] Following the 1987 report by The World Commission on Environment and Development, the genuine saving has come to play a key role in the context of sustainable development, and the World Bank regularly publishes numbers for genuine saving on a national basis. However, these numbers are typically calculated as if the tax system is non-distortionary. This paper presents an analogue to genuine saving in a second best economy, where the government raises revenue by means of distortionary taxation. We show how the social cost of public debt, which depends on the marginal excess burden, ought to be reflected in the genuine saving. We also illustrate by presenting calculations for Greece, Japan, Portugal, U.K., U.S. and OECD average, showing that the numbers published by the World Bank are likely to be biased and may even give incorrect information as to whether the economy is locally sustainable. Paper [II] This paper examines the relationships among per capita CO2 emissions, per capita GDP and international trade based on panel data spanning the period 1960-2008 for 150 countries. A distinction is also made between OECD and Non-OECD countries to capture the differences of this relationship between developed and developing economies. We apply panel unit root and cointegration tests, and estimate a panel error correction model. The results from the error correction model suggest that there are long-term relationships between the variables for the whole sample and for Non-OECD countries. Finally, Granger causality tests show that there is bi-directional short-term causality between per capita GDP and international trade for the whole sample and between per capita GDP and CO2 emissions for OECD countries. Paper [III] Fundamental questions in economics are why some regions are richer than others, why their growth rates differ, whether their growth rates tend to converge, and what key factors contribute to explain economic growth. This paper deals with the average income growth, net migration, and changes in unemployment rates at the municipal level in Sweden. The aim is to explore in depth the effects of possible underlying determinants with a particular focus on local policy variables. The analysis is based on a three-equation model. Our results show, among other things, that increases in the local public expenditure and income taxe rate have negative effects on subsequent income income growth. In addition, the results show conditional convergence, i.e. that the average income among the municipal residents tends to grow more rapidly in relatively poor local jurisdictions than in initially “richer” jurisdictions, conditional on the other explanatory variables. Paper [IV] This paper explores the relationship between income growth and income inequality using data at the municipal level in Sweden for the period 1992-2007. We estimate a fixed effects panel data growth model, where the within-municipality income inequality is one of the explanatory variables. Different inequality measures (Gini coefficient, top income shares, and measures of inequality in the lower and upper part of the income distribution) are examined. We find a positive and significant relationship between income growth and income inequality measured as the Gini coefficient and top income shares, respectively. In addition, while inequality in the upper part of the income distribution is positively associated with the income growth rate, inequality in the lower part of the income distribution seems to be negatively related to the income growth. Our findings also suggest that increased income inequality enhances growth more in municipalities with a high level of average income than in municipalities with a low level of average income.
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Reduced form estimation of multivariate data sets currently takes into account long-run co-movement restrictions by using Vector Error Correction Models (VECM' s). However, short-run co-movement restrictions are completely ignored. This paper proposes a way of taking into account short-and long-run co-movement restrictions in multivariate data sets, leading to efficient estimation of VECM' s. It enables a more precise trend-cycle decomposition of the data which imposes no untested restrictions to recover these two components. The proposed methodology is applied to a multivariate data set containing U.S. per-capita output, consumption and investment Based on the results of a post-sample forecasting comparison between restricted and unrestricted VECM' s, we show that a non-trivial loss of efficiency results whenever short-run co-movement restrictions are ignored. While permanent shocks to consumption still play a very important role in explaining consumption’s variation, it seems that the improved estimates of trends and cycles of output, consumption, and investment show evidence of a more important role for transitory shocks than previously suspected. Furthermore, contrary to previous evidence, it seems that permanent shocks to output play a much more important role in explaining unemployment fluctuations.
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A lei do preço único afirma que o mesmo ativo negociado em diferentes mercados deve apresentar preços equivalentes. Este trabalho busca verificar se o risco de crédito soberano brasileiro negociado no mercado internacional é precificado de forma semelhante tanto nos tradicionais mercados de títulos quanto no novo e crescente mercado de derivativos de crédito. Adicionalmente, utiliza-se a análise de Price Discovery para examinar qual dos mercados se move mais rapidamente em resposta às mudanças nas condições de crédito da economia brasileira. A análise empírica é feita por meio de modelos de séries de tempo, mais especificamente análise de cointegração e vetor de correção de erros. Os resultados confirmam a predição teórica da lei do preço único de que o risco de crédito brasileiro, tanto nos mercados de títulos quanto no mercado de derivativos de crédito, movem-se juntos no longo prazo. Por fim, a maior parte do Price Discovery ocorre no mercado de derivativos de crédito.
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Esta dissertação trata da questão dos preços administrados no Brasil sob a argumentação de que os mesmos apresentam uma persistência mais acentuada do que os demais preços da economia. Para alcançar este objetivo foram verificados alguns testes de persistência inflacionária. Em seguida, utilizou-se a metodologia dos Vetores de Correção de Erro (VEC) para estudar a relação dos preços administrados com as variáveis mais importantes da economia brasileira, tais como, produto, taxa de câmbio, preços livres e taxa de juros Selic. Por fim, utilizou-se do instrumental de Mankiw e Reis (2003) para verificar qual o índice de preços seria mais adequado para manter a atividade econômica brasileira mais próxima de seu nível potencial. Os resultados encontrados foram os seguintes: 1) observou-se persistência do IPCA representada pelos preços administrados; 2) a autoridade monetária responde a choques dos preços monitorados com maior veemência do que a choques nos preços livres; 3) o exercício de Mankiw e Reis (2003) apontou que a porcentagem dos preços monitorados deve ser menor que a atual do IPCA em um índice de preços estabilizador. Desta forma, mostra-se que a presença dos preços administrados dificulta pronunciadamente a condução de política monetária no Brasil.
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Com a entrada do regime cambial flutuante no Brasil a partir de 1999, o mercado de derivativos cambiais se desenvolveu muito. A crescente demanda das empresas e instituições financeiras pelos produtos de hedge cambial junto a um novo panorama econômico mundial foram as causas desse desenvolvimento. Esse trabalho procura encontrar tendências para o mercado de derivativos cambiais brasileiro estimando parâmetros através de regressões entre séries não-estacionárias, porém cointegradas. E utilizado o modelo de correção de erros para fazer as previsões. Os resultados mostram que o crescimento do mercado ocorre em função da corrente de comércio exterior e PIB, que os produtos mais utilizados para operações de curto e longo prazos tendem a ser o dólar futuro e as opções cambiais e que, no futuro, algumas outras moedas terão participação significativa no mercado brasileiro.
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Através de um Modelo de Correção de Erros este estudo explora possíveis assimetrias no passthrough dos preços de petróleos para os preços do diesel e da gasolina no mercado dos Estados Unidos, analisando, principalmente, se as inversões das tendências das demandas destes derivados afetaram o mecanismo de transmissão de preços. A partir de dados mensais de janeiro de 2001 a dezembro de 2012, para a gasolina foram encontrados indícios de que houve alterações do passthrough em decorrência da quebra da demanda. Porém, é válido destacar que tal resultado ocorreu concomitantemente ao período de recuperação de preços presenciada após a crise de 2008. Em relação ao diesel, não há indícios de que houve alterações no passthrough. Por fim, há evidências da redução do WTI como petróleo de referência em decorrência da sua desvalorização a partir de 2010.
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Uma das principais vantagens das estratégias de negociação em pares está relacionada à baixa correlação com os retornos do mercado. Ao tomar posições compradas e vendidas, estas estratégias são capazes de controlar a magnitude do beta de mercado, mantendo-se praticamente zero ou estatísticamente não significativas. A idéia consiste na realização de arbitragem estatística, aproveitando os desvios de preços de equilíbrio de longo prazo. Como tal, elas envolvem modelos de correção de equilíbrio para os pares de retornos dos ativos. Nós mostramos como construir uma estratégia de negociação de pares que é beneficiada não só pela relação de equilíbrio de longo prazo entre os pares de preços dos ativos da carteira, mas também pela velocidade com que os preços ajustam os desvios para o equilíbrio. Até então, a grande maioria das estratégias envolvendo negociação em pares se baseavam na hipótese de que a obtenção de retornos positivos estaria relacionada à reversão à média caracterizada pela relação de cointegração dos pares, mas ignorava a possibilidade de seleção dos pares testando a velocidade de ajustamento do Vetor de Correção de Erros desta relação. Os resutados deste trabalho indicaram baixos níveis de correlação com o mercado, neutralidade das estratégias, associados a retornos financeiros líquidos e Índice de Sharpe anualizados de 15,05% e 1,96 respectivamente.
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The purpose of this paper is to test the implications of current account solvency for the savinginvestment correlation in developing countries. Since solvency is a long-run phenomenon, and given that the power of the standard unit root and cointegration tests is low, we exploit the panel structure of the sample of 29 developing countries. We find evidence that saving and investment are cointegrated and that the current account is stationary. Therefore, the Feldstein-Horioka correlations are not a puzzle in the sense they reflect the intertemporal budget constraint. The same results are obtained for different subsamples (Africa, Asia, and Latin America) and for different periods of time (1960-74 and 1975-96). We, then, suggest that an error correction model should distinguish between the long-run correlation, which reflects the solvency condition, and the short-run correlation, which could measure capital mobility.
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This work proposes a method to examine variations in the cointegration relation between preferred and common stocks in the Brazilian stock market via Markovian regime switches. It aims on contributing for future works in "pairs trading" and, more specifically, to price discovery, given that, conditional on the state, the system is assumed stationary. This implies there exists a (conditional) moving average representation from which measures of "information share" (IS) could be extracted. For identification purposes, the Markov error correction model is estimated within a Bayesian MCMC framework. Inference and capability of detecting regime changes are shown using a Montecarlo experiment. I also highlight the necessity of modeling financial effects of high frequency data for reliable inference.
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