2021
DOI: 10.1002/pa.2676
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Institutional quality and initial public offering underpricing: Evidence from Hong Kong

Abstract: The main objective of this research is to investigate the impact of institutional quality on the underpricing of IPOs in Hong Kong. Besides, ordinary least squares presented in the study used quantile regression as a robust technique to investigate the association of institutional quality and the underpricing level of 986 IPO from January 2000 to December 2017 in the Hong Kong stock market. Through research findings, it is asserted that voice and accountability, regulatory quality, control of corruption and fi… Show more

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Cited by 8 publications
(5 citation statements)
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References 70 publications
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“…Consequently, the 10th, 20th, 30th, 40th, 50th, 60th, 70th, 80th and 90th quantiles of TBL are included to approximate the linear connections between a large number of independent variables. The pseudo-R-squared of the 10th to 90th quantiles vary from 2% to 13%, which is consistent with Wei et al (2022). Overall, the use of quantile regression methodology in the study enables a more nuanced understanding of the determinants of TBL reporting and their impact at different levels of the dependent variable, thus providing valuable insights for practitioners and researchers in the field of accounting and sustainability reporting.…”
Section: Agjsrsupporting
confidence: 79%
See 1 more Smart Citation
“…Consequently, the 10th, 20th, 30th, 40th, 50th, 60th, 70th, 80th and 90th quantiles of TBL are included to approximate the linear connections between a large number of independent variables. The pseudo-R-squared of the 10th to 90th quantiles vary from 2% to 13%, which is consistent with Wei et al (2022). Overall, the use of quantile regression methodology in the study enables a more nuanced understanding of the determinants of TBL reporting and their impact at different levels of the dependent variable, thus providing valuable insights for practitioners and researchers in the field of accounting and sustainability reporting.…”
Section: Agjsrsupporting
confidence: 79%
“…Firstly, quantile regression is utilized to obtain a thorough picture of the influence of the predictor variables. Specified percentiles (or quantiles) such as the 10th, 20th, 30th, 40th, 50th, 60th, 70th, 80th and 90th are used to define the associations of the predictor variables in quantile regression since the specific percentile's parameter assesses the modifications by a unit change in the predictor variables following Koenker and Bassett (1978), Tajuddin, Mohd Rashid, Khaw, and Che Yahya (2019) and Wei, Mohd-Rashid, Mehmood, and Tajuddin (2022). Second, unlike OLS regression, robust regression analysis delivers superior regression coefficient estimates since it improves the coefficient of the outlier in the dataset, which is excluded in OLS regression.…”
Section: Board Size Board Independence Tbl Reportingmentioning
confidence: 99%
“…Companies are more likely to go public if the stock market provides high returns that ensure profits for both the company and the investors. As a result, equity investors prefer to earn a higher initial return on newly listed stocks to maximize compensation while facing higher risk due to low country-level institutional quality (Wei et al, 2021). As a result, higher returns from newly listed stocks are regarded as the most powerful signals for displaying valuable information.…”
Section: Literature Review 21 Stock Market Index and Ipo Variabilitymentioning
confidence: 99%
“…We expect the impact will vary on different levels of the lockup ratio, and it is important to identify the factors influencing different subgroups of the lockup ratio. Previous studies have also used quantile regression to explain IPO anomalies (see Mehmood et al, 2020; Mehmood et al, 2021; Wei et al, 2021). In this study, we used the lowest quantile (i.e., the 25th quantile), median (i.e., the 50th quantile), and the highest quantile (the 75th quantile).…”
Section: Measurement Of Variables and Model Specificationmentioning
confidence: 99%