scholarly journals Foreign Ownership, Return Volatility, Trading Volume, and Risk of Stocks in Indonesia

Author(s):  
Ahmad Maulin Naufa ◽  
I Wayan Nuka Lantara

This study examines the relationship between foreign ownership and return volatility, trading volume, and risk of stocks at the Indonesia Stock Exchange (IDX). Panel data of selected companies listed on the LQ45 index of the IDX was employed for the period between 2011 and 2017. Foreign ownership was found to positively affect stock return volatility, trading volume, and risk. Hence, more substantial foreign ownership of stocks meant more drawbacks to Indonesian stocks. Therefore, there is a need for the Indonesian government to limit and regulate foreign shareholders in Indonesia.  

2016 ◽  
Vol 33 (1) ◽  
pp. 223-236 ◽  
Author(s):  
Hoyoung Shin ◽  
Hyunmin Oh

Using data on the firms' voluntary disclosures from the Korea Stock Exchange from 2011 to 2014, we first empirically examine the association between voluntary disclosure and information asymmetry and then investigate the extent to which this association is affected by accruals quality since Korea adopted International Financial Reporting Standards (IFRS) in 2011.   We use Comprix et al. (2011) and Shin and Park (2014)'s measures of information asymmetry. They are daily stock return volatility (VOLA) and trading volume turnover (VOL). We use the Dechow et al.'s (1995) revised Jones model and the Kothari et al.'s (2005) performance matched discretionary accrual model to measure the discretionary accruals. The absolute values of discretionay accruals are used as proxies for accruals quality. Final research samples with voluntary disclosure for this study are 1,226 (firms-years) companies. The research findings generally support our hypotheses. First, the relation between voluntary disclosure and information asymmetry is statistically and significantly positive as we have expected. The Korean companies with high voluntary disclosure would experience higher daily stock return volatility and less trading volume, which implies that companies tend to disclose biased information to the outside, which is consistent with prior studies in Korea. Second, the accruals quality (moderating variable) on the relation between voluntary disclosure and information asymmetry is statistically and significantly negative. Thus, we can conclude that when accruals quality is high, more voluntary disclosure decreases information asymmetry. These findings imply that accruals quality works as a mechanism in reducing the negative effect of voluntary disclosure on information asymmetry after the adoption of IFRS in Korea. The limitation of this study is such that we might not have considered other omitted variables and other proxies for the accruals quality, voluntary disclosure, and information asymmetry.


2021 ◽  
Vol 9 (2) ◽  
pp. 24
Author(s):  
Athanasios Tsagkanos ◽  
Konstantinos Gkillas ◽  
Christoforos Konstantatos ◽  
Christos Floros

The present research investigates the impact of trading volume on stock return volatility using data from the Greek banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the period 5 January 2001–30 December 2020. This period includes several market phases, such as the latest financial crisis, the European sovereign debt crisis and enforcement of restrictions on transactions owing to capital controls on the Athens Stock Exchange in June 2015. Based on the estimated quantile regressions, we find evidence of a direct impact of the trading volume on stock return volatility mainly in all quantiles. The findings extrapolated are of relevance and interest to financial (banking) analysts, policy makers and practitioners concerned with intraday data and volatility modeling.


2000 ◽  
Vol 03 (03) ◽  
pp. 467-472 ◽  
Author(s):  
GIULIA IORI

We propose a model with heterogeneous interacting traders which can explain the observed cross-correlation between stock return volatility and trading volume. Transaction costs are introduced which, by responding to price movements, create a feedback mechanism on future trading and generates volatility clustering.


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