Dataset Information

State ownership and stock liquidity: Evidence from privatization

ABSTRACT: We provide unique firm-level evidence of the relation between state ownership and stock liquidity. Using a broad sample of newly privatized firms (NPFs) from 53 countries over the period 1994–2014, our study identifies a non-monotonic association between state ownership and stock liquidity. The inverse U-shaped relation is consistent with trade-offs between costs and benefits of state ownership and suggests an optimal level of government shareholdings that maximizes stock liquidity of NPFs. We further identify that the inflection point from the cost/benefit trade-off is contingent upon characteristics of the nation's institutional environment. Highlights • We study how state ownership affects stock liquidity.• We identify a non-monotonic relation between state ownership and stock liquidity.• This relation is consistent with trade-offs between costs/benefits of state ownership.• The inflection point from this trade-off depends on the institutional environment.

SUBMITTER: Boubakri N

PROVIDER: S-EPMC7581425 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Market liquidity ensures the marketability of security and is an indispensable feature of stock markets. Previous studies have emphasized the role of stock market liquidity in empirical finance. However, they have inadequately explored its multidimensional nature. This study eliminates the ambiguities related to market liquidity by precisely measuring it by using popular and proven liquidity measures. As such, the present study aims to evaluate market liquidity in terms of depth, breadth, tightness, and immediacy in the Indian equity market and also identifies crucial interdependencies between liquidity dimensions. The study selects 500 stocks constituting the NIFTY 500 index of the National Stock Exchange, India, as of 26th May 2019. The data on trading volume, bid price, ask price, the number of shares outstanding, closing share prices were retrieved for the period from 1st April 2009 to 31st March 2019. The study employs Share Turnover, Amihud Illiquidity Ratio, Relative Quoted Spreads, and Coefficient of Elasticity of Trading for liquidity measurement. The Vector Auto-Regressive (VAR) model is used to establish the simultaneous relationships between liquidity dimensions. The analysis is conducted at the aggregate market level as well as across turnover based stock groups divided based on their rankings in terms of stock specific share turnover. The empirical results evidenced the presence of consistent depth, strong breadth, and immediacy but lower tightness in the Indian equity market. The market depth and tightness appear to be relevant in determining dimensional interdependencies. Also, less frequently traded stocks exhibit higher illiquidity in the wake of lower tightness. The findings of this study will assist the investors to wisely understand the multifaceted nature of market liquidity and base their trading decisions accordingly. Moreover, the regulators of the stock exchange can devise liquidity enhancing policies based on the directional movements among liquidity dimensions.

Dataset Information

State ownership and stock liquidity: Evidence from privatization

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure