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Analysis of the long-term relationship between macro-economic variables and the Chinese stock market using heteroscedastic cointegration

机译:基于异方差协整的宏观经济变量与中国股市之间的长期关系分析

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摘要

Purpose - The purpose of this paper is to investigate the relationship between the Chinese stock market indices and a set of macro-economic variables, i.e. money supply, industrial production, inflation, exchange rate and interest rates. Design/methodology/approach - The aims of this paper are addressed using heteroscedastic cointegration analysis. Findings - Results show that the cointegrating relationship does exist between stock prices and the macro-economic variables in the highly speculative Chinese stock market. Detailed analysis shows stock market performance is positively related to that of macro-economy in the long term. Research limitations/implications - The results imply that in the long run, investors can benefit in terms of better returns and portfolio diversification as the Chinese economy is expected to continue to perform strongly. Originality/value - The main contributions of this paper are two-fold: first, this is the first paper to examine the long-term relationship between the stock market indices and macro-economic variables in China, one of largest economies in the world. Second, heteroscedastic cointegration analysis is used and hence this paper controls for time-varying volatility.
机译:目的-本文的目的是研究中国股市指数与一系列宏观经济变量之间的关系,即货币供应量,工业生产,通货膨胀,汇率和利率。设计/方法/方法-本文的目标通过异方差协整分析解决。研究结果-结果表明,在高度投机的中国股票市场中,股价与宏观经济变量之间确实存在协整关系。详细分析表明,从长期来看,股票市场的表现与宏观经济的表现正相关。研究局限/含义-结果表明,从长远来看,随着中国经济有望继续强劲增长,投资者可以从更好的回报和投资组合多元化中受益。原创性/价值-本文的主要贡献有两个方面:第一,这是第一篇研究世界最大经济体之一的中国的股市指数与宏观经济变量之间的长期关系的论文。其次,使用了异方差协整分析,因此本文控制了时变波动率。

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