The effects of earnings management on information asymmetry and stock price synchronicity

Journal article


Dang, Q., Korkos, I. and Wu, W. (2023). The effects of earnings management on information asymmetry and stock price synchronicity. Cogent Economics & Finance. 11 (2). https://doi.org/10.1080/23322039.2023.2290359
AuthorsDang, Q., Korkos, I. and Wu, W.
Abstract

In this study, we test whether earnings management has a positive impact on information asymmetry as well as whether earnings management has a negative impact on stock return synchronicity to investigate how discretionary accrual earnings management affects the imbalance of information and the co-movement of stock prices in Vietnam. We utilise the Pooled OLS (OLS), Random Effects (RE), Fixed Effects (FE), and System GMM models to evaluate our dataset collected from 356 non-financial companies listed on the Hochiminh City Stock Exchange (HOSE) spanning from 2012 to 2021. We find that in Vietnamese market earnings manipulations through accrual based falsify the market and cause information asymmetry leading to adverse effects on market liquidity and stock price synchronicity. Additionally, our findings exhibit greater co-movements between stock prices and earnings management at the larger firms with long incorporation history and are audited by Big Four Audit firms due to their credibility. These findings are particularly useful for foreign investors in making investment decisions as we found that their influences on earnings management in Vietnamese market is limited.

Keywordsearnings management; quality of information; information asymmetry; stock price synchronicity; audit quality
Year2023
JournalCogent Economics & Finance
Journal citation11 (2)
PublisherTaylor & Francis
ISSN2332-2039
Digital Object Identifier (DOI)https://doi.org/10.1080/23322039.2023.2290359
Web address (URL)https://www.tandfonline.com/doi/full/10.1080/23322039.2023.2290359
Publication dates
Print06 Dec 2023
Publication process dates
Accepted28 Nov 2023
Deposited08 Dec 2023
Publisher's version
License
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/95w68

Download files

  • 100
    total views
  • 51
    total downloads
  • 9
    views this month
  • 1
    downloads this month

Export as

Related outputs

Stock Market and Inequality Distributions – Evidence from the BRICS and G7 Countries
Dang, D., Wu, W. and Korkos, I. (2024). Stock Market and Inequality Distributions – Evidence from the BRICS and G7 Countries. International Review of Economics & Finance. 92, pp. 1172-1190. https://doi.org/10.1016/j.iref.2024.02.067
A comparison of new and existing rootstocks to reduce canker of apple trees caused by Neonectria ditissima (Nectriaceae, Hypocreales)
Shuttleworth, L. A, Newman, S. and Korkos, I. (2023). A comparison of new and existing rootstocks to reduce canker of apple trees caused by Neonectria ditissima (Nectriaceae, Hypocreales). CABI Agriculture and Bioscience. 4 (37), pp. 1-13. https://doi.org/10.1186/s43170-023-00177-z
Using Covariates to Improve the Efficacy of Univariate Bubble Detection Methods
Astill, S., Taylor, A. M. R., Kellard, N. and Korkos, I. (2022). Using Covariates to Improve the Efficacy of Univariate Bubble Detection Methods. Journal of Empirical Finance. https://doi.org/10.1016/j.jempfin.2022.12.008
Quantile Dependence between the Stock, Bond and Foreign Exchange Markets - Evidence from the UK
Hamid, R and Wu, W (2018). Quantile Dependence between the Stock, Bond and Foreign Exchange Markets - Evidence from the UK. Quarterly Review of Economics and Finance. 69, pp. 286-296. https://doi.org/10.1016/j.qref.2018.03.009
Modelling Asymmetric Conditional Dependence between Shanghai and Hong Kong Stock Markets
Wu, W, Lau, M and Vigne, S (2017). Modelling Asymmetric Conditional Dependence between Shanghai and Hong Kong Stock Markets. Research in International Business and Finance. 42, pp. 1137-1149. https://doi.org/10.1016/j.ribaf.2017.07.050
The Dependence Structure in Credit Risk between Money and Derivatives Markets: A Time-Varying Conditional Copula Approach
Wu, W. and McMillan. D. (2014). The Dependence Structure in Credit Risk between Money and Derivatives Markets: A Time-Varying Conditional Copula Approach. Managerial Finance. 40 (8), pp. 758-769. https://doi.org/10.1108/MF-07-2013-0184
Non-Parametric Estimation of Copula Parameters: Testing for Time-Varying Correlation
Gong, J., Wu, W., McMillan. D and Shi, D. (2014). Non-Parametric Estimation of Copula Parameters: Testing for Time-Varying Correlation. Studies in Nonlinear Dynamics & Econometrics. 19 (1), pp. 93-106. https://doi.org/10.1515/snde-2012-0089
Dynamic Linkages in Credit Risk: Modeling the Time-Varying Correlation between the Money and Derivatives Markets over the Crisis Period
Wu, W. and McMillan, D. (2013). Dynamic Linkages in Credit Risk: Modeling the Time-Varying Correlation between the Money and Derivatives Markets over the Crisis Period. Journal of Risk. 16 (2), p. 51–59. https://doi.org/10.21314/JOR.2013.270