2020
DOI: 10.1016/j.ribaf.2020.101250
|View full text |Cite
|
Sign up to set email alerts
|

Simultaneous effects of clustering and endogeneity on the underpricing difference of IPO firms: A global evidence

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
33
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 22 publications
(35 citation statements)
references
References 50 publications
2
33
0
Order By: Relevance
“…First, we account for the effect of clustering in error terms within countries. Jamaani and Ahmed (2020) find that not accounting empirically for the impact of clustering in error terms within countries can result in overstating t -statistic values. Therefore, we employ cluster-robust standard errors estimation within countries following Jamaani and Ahmed (2020).…”
Section: Robustness Testsmentioning
confidence: 85%
See 1 more Smart Citation
“…First, we account for the effect of clustering in error terms within countries. Jamaani and Ahmed (2020) find that not accounting empirically for the impact of clustering in error terms within countries can result in overstating t -statistic values. Therefore, we employ cluster-robust standard errors estimation within countries following Jamaani and Ahmed (2020).…”
Section: Robustness Testsmentioning
confidence: 85%
“…Jamaani and Ahmed (2020) find that not accounting empirically for the impact of clustering in error terms within countries can result in overstating t -statistic values. Therefore, we employ cluster-robust standard errors estimation within countries following Jamaani and Ahmed (2020). The ten models in Table 5 report consistent results that fully support the reported outcomes in Table 4 even after controlling for 61 country clusters.…”
Section: Robustness Testsmentioning
confidence: 85%
“…The finance literature documents pervasive clustering phenomena. Similarly, IPO literature also documents IPO clustering around certain variables, such as year, industry, country and price terms (Onali et al , 2017; Jamaani and Ahmed, 2020). Estimations that do not consider the clustering effect may lead to biased standard errors, leading to incorrect conclusions (Petersen, 2009; Cameron and Miller, 2015; Jamaani and Ahmed, 2020).…”
Section: Empirical Findingsmentioning
confidence: 99%
“…Reliably, we attain identical results that ensure strong confidence in our previous findings. Accounting disclosure and IPO researchers caution for the presence of endogeneity in aftermarket performance models that are probably to bias the results of OLS estimation when it is ignored (Shi et al 2013;Zattoni et al 2017;Jamaani & Ahmed 2020). This problem may be attributed to two things: firstly, the endogenous decision of IPO firms to choose prestigious underwriters; and secondly, the IPO firms' choice to self-select an exact time where they perceive an improvement of the overall formal institutional quality in a given country.…”
Section: Robustness Testsmentioning
confidence: 99%
“…However, in the secondary market, market participants face less information uncertainty concerning IPO firms compared to the primary market. This is because research indicates that investors in the secondary market can attain information from different sources about listed firms including firms' analysts' reports, historical financial reports, media coverage, and firm announcements to reduce information uncertainty (Hong et al 2014;Jamaani & Alidarous 2019;Jamaani & Ahmed 2020). In contrast, in the primairy market, the only source of infirmation investors have access to is the one provided in the IPO prospectus which is entirely governed by the issuing firm.…”
Section: Od=ajperesandconvert_to=urlandcacheid=f9c937c6-6bef-46bb-8a91-9fmentioning
confidence: 99%