首页> 外文期刊>International Journal of Management Practice >Determinants of intraday market liquidity: an empirical analysis of Indian futures market using high frequency data
【24h】

Determinants of intraday market liquidity: an empirical analysis of Indian futures market using high frequency data

机译:日内市场流动性的决定因素:使用高频数据对印度期货市场进行的经验分析

获取原文
获取原文并翻译 | 示例
       

摘要

Liquidity study is one of the most discussed and explored area of market microstructure studies. This study is an empirical analysis of the intraday market liquidity and volume concentration of the S&P CNX NIFTY futures index using high frequency financial time series data. This paper contains three objectives; first objective is to display the pattern of intraday market liquidity through commonly used measures. Second objective is to explain the concept of intraday market concentration and its pattern. Intraday market concentration is calculated by GINI index in order to examine the extent to which trading volume is characterised by small-sized homogeneous trade or small number of larger-sized trades. And the third objective is to empirically analyse the dimensions of intraday market liquidity, i.e., tightness, market depth, resiliency and trading time using different proxies. Empirical investigation explains that intraday market tightness and time dimension follow a GARCH and TARCH model while depth and resiliency dimension follow an ARCH and GARCH models. The proxies of each dimensions, i.e., bid-asks spread (tightness), and return volatility (resiliency) explains that market is less liquid, whereas trading volume (depth) and waiting time between subsequent trades (trading time) is showing the high liquidity in the market.
机译:流动性研究是市场微观结构研究中讨论最多的领域之一。这项研究是使用高频金融时间序列数据对标准普尔CNX NIFTY期货指数的当日市场流动性和交易量集中度进行的经验分析。本文包含三个目标;第一个目标是通过常用措施来显示日内市场流动性的模式。第二个目标是解释当日市场集中度的概念及其模式。日内市场集中度通过基尼指数(GINI index)进行计算,以检验交易量以小型同质交易或少量大型交易为特征的程度。第三个目标是使用不同的代理凭经验分析日内市场流动性的维度,即紧度,市场深度,弹性和交易时间。实证研究表明,盘中市场的紧张程度和时间维度遵循GARCH和TARCH模型,而深度和弹性维度遵循ARCH和GARCH模型。每个维度的代理,即买入价差(紧密度)和收益波动率(弹性)说明市场流动性较低,而交易量(深度)和后续交易之间的等待时间(交易时间)则显示出较高的流动性在市场上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号