Stock market and its liquidity: Evidence from ARDL bound testing approach in the Indian context

This paper attempts to capture the relationship between stock market movements and its endogenous liquidity measures using Autoregressive Distributed-lag (ARDL) Bounds Testing Approach. We consider depth, breadth, tightness, immediacy and resiliency dimensions of market liquidity using suitable liqu...

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Bibliographic Details
Main Authors: Sharad Nath Bhattacharya, Mousumi Bhattacharya, Sankarshan Basu
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Cogent Economics & Finance
Subjects:
Online Access:http://dx.doi.org/10.1080/23322039.2019.1586297
Description
Summary:This paper attempts to capture the relationship between stock market movements and its endogenous liquidity measures using Autoregressive Distributed-lag (ARDL) Bounds Testing Approach. We consider depth, breadth, tightness, immediacy and resiliency dimensions of market liquidity using suitable liquidity measures (proxies). Findings suggest that multidimensional liquidity measures like the volume of trade, spread, market efficiency coefficient, turnover rate, trading probability, and the stock market index are in a long-term relationship. While trading activity and market efficiency coefficient affect stock market positively, the negative impact is seen in the case of spread. The liquidity measures affect the stock market in the short run as well. We find that impact of the turnover rate on the stock market is negative in short-run but positive in the long-run. The findings are important for investors and the market participants as well who pursue loss minimization strategies. The results indicate that short-term policy interventions need not get more important than the long-term objectives of market reforms.
ISSN:2332-2039