853 resultados para Stock market integration
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The aim of this study is to explain the changes in the real estate prices as well as in the real estate stock market prices, using some macro-economic explanatory variables, such as the gross domestic product (GDP), the real interest rate and the unemployment rate. Several regressions have been carried out in order to express some types of incremental and absolute deflated real estate lock market indexes in terms of the macro-economic variables. The analyses are applied to the Swedish economy. The period under study is 1984-1994. Time series on monthly data are used. i.e. the number of data-points is 132. If time leads/lags are introduced in the e regressions, significant improvements in the already high correlations are achieved. The signs of the coefficients for IR, UE and GDP are all what one would expect to see from an economic point of view: those for GDP are all positive, those for both IR and UE are negative. All the regressions have high R2 values. Both markets anticipate change in the unemployment rate by 6 to 9 months, which seems reasonable because such change can be forecast quite reliably. But, on the contrary, there is no reason why they should anticipate by 3-6 months changes in the interest rate that can hardly be reliably forecast so far in advance.
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For many years the European Union has been improving the efficient use of energy resources and yet the demand for energy in the EU continues to increase. When Europe belonged to one of the world’s key energy markets with relatively easy access to energy resources, growing energy needs were not seen as a source of concern. Today, however, as the competition for energy resources is intensifying and the global position of the EU energy market is being challenged by growing economies in the developing countries, above all China and India, the EU needs to adopt bold policies to guarantee the sustainable supply of energy. This report argues the EU needs to develop a fully-fledged external energy policy; i.e. a common, coherent, strategic approach that build bridges between the interests and needs of the EU integrated energy market on the one hand and supplier countries on the other. The EU’s external energy policy has two main objectives. The first one is to ensure a sustainable, stable and cost-effective energy supply. The second is to promote energy market integration and regulatory convergence with neighbouring countries (often but not always this supports the achievement of the first objective). However, in order to improve its effectiveness, the EU’s external energy policy needs to be seen in a broader economic and political context. Any progress in energy cooperation with third countries is contingent upon the EU’s general stance and offer to those countries.
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The government’s extensive programme for stimulating the economy has enabled China to maintain high economic growth after the global financial crisis in 2008. However, this success has come at the price of a number of negative economic phenomena and the consequences they have had are the major challenge for the government today. The vast programme of investments in infrastructure, construction and fixed assets, which has been the main source of economic growth over the past few years, has caused a rapid increase in China’s debt from 158% of GDP in 2007 to 282% in 2014. Along with the local governments in charge of implementing the programme, the Chinese sector of state-owned enterprises (SOEs) has been heavily burdened by the stimulation policy. The sector’s profitability has fallen, its indebtedness has increased and management problems have been revealed.
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Apesar da crescente regulação da atividade empresarial e do estabelecimento de normas e recomendações relativamente ao governo das sociedades verificados desde o início da década passada, as empresas de grande parte dos sectores de atividade económica foram seriamente afetadas durante a crise financeira global. Este estudo permite concluir que houve aumentos significativos no risco total e idiossincrático das empresas não financeiras cotadas na Euronext Lisboa após a falência do banco Lehman Bothers, a 15 de Setembro de 2008. Estes resultados são coerentes com o aumento da incerteza dos investidores verificado durante o período de crise, resultante do colapso de alguns dos maiores bancos do último século, que se traduziu numa falta de confiança generalizada nas instituições financeiras que resultou em maiores dificuldades na obtenção de créditos bancários e num aumentos dos custos de capital, durante este período. Os resultados sugerem que as alterações verificadas nas medidas do risco variaram de acordo com as características de governação e características específicas das empresas, quer num horizonte temporal mais curto, quer num horizonte temporal mais alargado. O mercado de capitais premiou as empresas com um número relativamente maior de administradores não-executivos e com administradores que exercem (em média) cargos de gestão num maior número de empresas ou instituições. Por outro lado, o mercado de capitais penalizou as empresas com um número relativamente maior de administradores independentes, maior concentração de capital, maiores oportunidades de crescimento, maior alavancagem financeira e maior liquidez corrente.
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Hearings held June 27, 1955-July 6, 1956.
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Mode of access: Internet.
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Mode of access: Internet.
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Reprint of 1922 ed. with a new introduction.
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Mode of access: Internet.
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Vector error-correction models (VECMs) have become increasingly important in their application to financial markets. Standard full-order VECM models assume non-zero entries in all their coefficient matrices. However, applications of VECM models to financial market data have revealed that zero entries are often a necessary part of efficient modelling. In such cases, the use of full-order VECM models may lead to incorrect inferences. Specifically, if indirect causality or Granger non-causality exists among the variables, the use of over-parameterised full-order VECM models may weaken the power of statistical inference. In this paper, it is argued that the zero–non-zero (ZNZ) patterned VECM is a more straightforward and effective means of testing for both indirect causality and Granger non-causality. For a ZNZ patterned VECM framework for time series of integrated order two, we provide a new algorithm to select cointegrating and loading vectors that can contain zero entries. Two case studies are used to demonstrate the usefulness of the algorithm in tests of purchasing power parity and a three-variable system involving the stock market.