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The asymmetric price-volume relation revisited: evidence from Qatar

机译:重新审视不对称的价格-数量关系:来自卡塔尔的证据

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Purpose - This study aims to revisit the stock price-volume relations, providing new evidence from the emerging market of Qatar. In particular, three main issues are examined using both aggregate market-and sector-level data. First, the return-volume relation and whether or not this relation is asymmetric. Second, the common characteristics of return volatility; and third, the nature of the relation between trading volume and return volatility. Design/methodology/approach - The study uses the OLS and VAR modeling approaches to examine the contemporaneous and dynamic (causal) relations between index returns and trading volume, respectively, while an EGARCH-X(1,1) model is used to analyze the volatility-volume relation. The data set comprises daily index observations and the corresponding trading volumes for the entire market and the individual seven sectors of the Qatar Exchange (i.e. banks and financial services, consumer goods and services, industrials, insurance, real estate, telecommunications and transportation). Findings - The empirical analysis reports evidence of a positive contemporaneous return-volume relation in all sectors barring transportation and insurance. This relation appears to be asymmetric for all sectors. For the market and almost all sectors, there is no significant causality between returns and volume. By and large, these findings lend support for the implications of the mixture of distributions hypothesis (MDH). Lastly, the information content of lagged volume seems to have an important role in predicting the future dynamics of return volatility in all sectors, with the industrials being the exception. Practical implications - The findings provide important implications for portfolio managers and investors, given that the volume of transactions is generally found to be informative about the price movement of sector indices. Specifically, tracking the behavior of trading volume over time can give a broad portrayal of the future direction of market prices and volatility of equity, thereby enriching the information set available to investors for decision-making. Originality/value - Based on both market- and sector-level data from the emerging stock market of Qatar, this study attempts to fill an important void in the literature by examining the return-volume and volatility-volume linkages.
机译:目的-这项研究旨在重新审视股票价格-数量关系,为卡塔尔新兴市场提供新的证据。特别是,使用汇总的市场和部门数据对三个主要问题进行了研究。首先,返回量关系以及该关系是否不对称。第二,收益波动的共同特征;第三,交易量和收益波动率之间关系的性质。设计/方法/方法-该研究使用OLS和VAR建模方法分别检查了指数回报率和交易量之间的同期和动态(因果)关系,而EGARCH-X(1,1)模型用于分析波动率-体积关系。该数据集包括每日指数观察值以及整个市场以及卡塔尔交易所各个七个部门的相应交易量(即银行和金融服务,消费品和服务,工业,保险,房地产,电信和运输)。调查结果-经验分析报告了所有领域的正同时收益率关系的证据,除非运输和保险。对于所有部门,这种关系似乎都是不对称的。对于市场和几乎所有部门而言,收益和交易量之间都没有明显的因果关系。总体而言,这些发现为分布假设混合(MDH)的含义提供了支持。最后,滞后量的信息内容似乎在预测所有部门未来收益率波动的动态中起着重要作用,但工业例外。实际意义-鉴于通常发现交易量能为行业指数的价格变动提供信息,因此研究结果对投资组合经理和投资者具有重要意义。特别是,跟踪交易量随时间的变化行为可以广泛地描绘市场价格的未来方向和股票的波动性,从而丰富了可供投资者用于决策的信息集。原创性/价值-基于来自卡塔尔新兴股市的市场和行业水平数据,本研究试图通过研究回报量和波动率-体积之间的联系来填补文献中的重要空白。

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