scholarly journals Pricing Mechanism and IPO Initial Return: Evidence from Pakistan Stock Exchange

2021 ◽  
Vol 21 (3) ◽  
pp. 1239-1257
Author(s):  
Waqas Mehmood ◽  
Rasidah Mohd-Rashid ◽  
Abd Halim Ahmad
Keyword(s):  
Quantile Regression ◽  
Least Squares ◽  
Stepwise Regression ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Cross Sectional ◽  
Pricing Mechanism ◽  
Fixed Price ◽  
Initial Return ◽  
Book Building

This study adds to the extent of the literature by examining the impacts of pricing mechanism and premium offered on IPO initial return in Pakistan. Cross-sectional data were gathered using 90 listed IPOs retrieved from Pakistan stock exchange. Accordingly, ordinary least squares, quantile regression, robustness regression, and stepwise regression were employed to assess the factors that influenced initial return. This study describes the intensity of initial return in light of company specific and issue specific variables. Both closing and opening prices to offer price were incorporated to measure the initial return on the initial day of trading. The outcomes showed that after the reform of book building pricing mechanism, the initial return of IPOs increased, when compared to the fixed price offerings in Pakistan. This study concludes that information from book building pricing mechanism and premium had influenced both issuer and investor in subscribing IPO.

scholarly journals Factors from Underwriter That Influence Initial Return of The Companies Doing Initial Public Offerings in Indonesia Stock Exchange in The Period Of 2004-2011

2014 ◽  
Vol 2 (1) ◽  
pp. 90-103
Author(s):  
Ferry Sugianto ◽  
Liliana Inggrit Wijaya
Keyword(s):  
Least Squares ◽  
Initial Public Offerings ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Quantitative Approach ◽  
Wealth Transfer ◽  
Public Offerings ◽  
Independent Variables ◽  
Initial Return

The objective of this study is to examine whether the underwriter’s factors affect the initial return of the companies that were going to do Initial Public Offerings (IPO). This study uses the quantitative approach using Ordinary Least Squares (OLS) method to examine whether the underwriter’s factors affect the initial return. The samples of this study are companies which are doing the IPO in Indonesia Stock Exchange in the period of 2004- 2011. This study finds that the underwriter’s factors have significant effect for the companies which do IPO, such as prestige, number of syndicate, experience, and oversubscription. But other independent variables like reputation, total assets, age, and price revision have no significant impact to initial return. The paper provides useful information for emitens how to choose good underwriters to avoid underpricing which causes wealth transfer to investors, the underwriters with good prestige, big syndicates, a lot of experiences, and less of doing oversubscription are recommended. Keywords: stock, initial return, underwriter, emiten, Initial Public Offerings.

scholarly journals The effect of creative corporate culture and intangibility on the performance of foreign firms traded on the NYSE

2018 ◽  
Vol 15 (4) ◽  
pp. 356-372 ◽  
Author(s):  
Marcia Martins Mendes De Luca ◽  
Paulo Henrique Nobre Parente ◽  
Emanoel Mamede Sousa Silva ◽  
Ravena Rodrigues Sousa
Keyword(s):  
New York ◽  
Least Squares ◽  
Corporate Culture ◽  
Corporate Performance ◽  
Stock Exchange ◽  
Generalized Least Squares ◽  
Ordinary Least Squares ◽  
Foreign Firms ◽  
Content Type ◽  
Negative Effect

Purpose Following the tenets of resource-based view, the present study aims to investigate the effect of creative corporate culture according to the competing values framework model at the level of corporate intangibility and its respective repercussions on performance. Design/methodology/approach The sample included 117 non-USA foreign firms traded on the New York Stock Exchange (NYSE), which issued annual financial reports between 2009 and 2014 using the 20-F form. To meet the study objectives, in addition to the descriptive and comparative analyses, the authors performed regression analyses with panel data, estimating generalized least-squares, two-stage least-squares and ordinary least-squares. Findings Creative culture had a negative effect on the level of intangibility and corporate performance, while the level of intangibility did not appear to influence corporate performance. When combined, creative culture and intangibility had a potentially negative effect on corporate results. In conclusion, creative corporate culture had a negative effect on performance, even in firms with higher levels of intangibility, characterized by elements like experimentation and innovation. Originality/value Although the study hypotheses were eventually rejected, the analyses are relevant to both the academic setting and the market because of the organizational and institutional aspects evaluated, especially in relation to intangibility and creative culture and in view of the unique cross-cultural approach adopted. Within the corporate setting, the study provides a spectrum of stakeholders with tools to identify the profile of foreign firms traded on the NYSE.

scholarly journals Using Quantile Regression to Estimate Intervention Effects Beyond the Mean

2019 ◽  
Vol 79 (5) ◽  
pp. 883-910 ◽  
Author(s):  
Spyros Konstantopoulos ◽  
Wei Li ◽  
Shazia Miller ◽  
Arie van der Ploeg
Keyword(s):  
Quantile Regression ◽  
Least Squares ◽  
Large Scale ◽  
Social Science Research ◽  
Empirical Work ◽  
Science Research ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Intervention Effects ◽  
Education Data

This study discusses quantile regression methodology and its usefulness in education and social science research. First, quantile regression is defined and its advantages vis-à-vis vis ordinary least squares regression are illustrated. Second, specific comparisons are made between ordinary least squares and quantile regression methods. Third, the applicability of quantile regression to empirical work to estimate intervention effects is demonstrated using education data from a large-scale experiment. The estimation of quantile treatment effects at various quantiles in the presence of dropouts is also discussed. Quantile regression is especially suitable in examining predictor effects at various locations of the outcome distribution (e.g., lower and upper tails).

scholarly journals Improved beta estimation on the Johannesburg Stock Exchange: A simulation study

1993 ◽  
Vol 24 (4) ◽  
pp. 118-123 ◽  
Author(s):  
D. C. Bowie ◽  
D. J. Bradfield
Keyword(s):  
Least Squares ◽  
Simulation Study ◽  
Stock Exchange ◽  
Estimation Procedure ◽  
Ordinary Least Squares ◽  
Controlled Environment ◽  
Johannesburg Stock Exchange ◽  
Estimation Procedures

In this article we focus on beta estimation in the thinly-traded environment of the Johannesburg Stock Exchange (JSE). We build on existing literature by evaluating a beta estimation procedure known as the trade-to-trade which has not until now been considered in the context of the JSE. We contrast our results with two known estimation procedures, i.e. the Cohen et al. and the traditional ordinary least squares (OLS). The trade-to-trade methodology, the estimator proposed by Cohen et al. and OLS are objectively assessed for shares typical of the JSE on the basis of unbiasedness and efficiency in the controlled environment of a simulation study. The trade-to-trade technique is found to be superior on both counts and is recommended as the appropriate technique for beta estimation on the JSE.

Quantile Regression Analysis and Other Alternatives to Ordinary Least Squares Regression

Methodology ◽  
2014 ◽  
Vol 10 (3) ◽  
pp. 81-91 ◽  
Author(s):  
Harry Haupt ◽  
Friedrich Lösel ◽  
Mark Stemmler
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Least Squares ◽  
Corporal Punishment ◽  
Ordinary Least Squares ◽  
Study Data ◽  
Physical Punishment ◽  
Least Squares Regression ◽  
Prevention Project ◽  
Quantile Regression Analysis

Data analyses by classical ordinary least squares (OLS) regression techniques often employ unrealistic assumptions, fail to recognize the source and nature of heterogeneity, and are vulnerable to extreme observations. Therefore, this article compares robust and non-robust M-estimator regressions in a statistical demonstration study. Data from the Erlangen-Nuremberg Development and Prevention Project are used to model risk factors for physical punishment by fathers of 485 elementary school children. The Corporal Punishment Scale of the Alabama Parenting Questionnaire was the dependent variable. Fathers’ aggressiveness, dysfunctional parent-child relations, various other parenting characteristics, and socio-demographic variables served as predictors. Robustness diagnostics suggested the use of trimming procedures and outlier diagnostics suggested the use of robust estimators as an alternative to OLS. However, a quantile regression analysis provided more detailed insights beyond the measures of central tendency and detected sources of considerable heterogeneity in the risk structure of father’s corporal punishment. Advantages of this method are discussed with regard to methodological and content issues.

IPO initial return in Pakistan: influence of country-level institutional quality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Waqas Mehmood ◽  
Rasidah Mohd-Rashid ◽  
Abd Halim Ahmad ◽  
Ahmad Hakimi Tajuddin
Keyword(s):  
Stock Exchange ◽  
Significant Risk ◽  
Institutional Quality ◽  
Political Stability ◽  
Least Square ◽  
Cross Sectional ◽  
Content Type ◽  
Country Level ◽  
Initial Return ◽  
The Impact

PurposeThe present study investigated the influence of country-level institutional quality on IPO initial return using World Bank Governance indices.Design/methodology/approachThis study analysed 84 IPOs listed on Pakistan Stock Exchange between 2000 and 2017 using cross-sectional data. The impact of country-level institutional quality on IPO initial returns was examined using ordinary least square, robust least square, stepwise least square and quantile regression.FindingsEmpirically, the values of political stability, government effectiveness and regulatory quality were positively significant, whereas rule of law and control of corruption were negatively significant in explaining the intensity of IPO initial return. The results also show the presence of significant risk in the market. Hence, investors were compensated with higher initial returns for weak country-level institutional quality. The results also reveal that improving country-level institutional quality would improve the financial market transparency, thereby reducing IPO initial returns.Originality/valueNo studies have been conducted regarding the influence of country-level institutional quality on IPO initial return in Pakistan. This study is a pioneering study that seeks to give insights into the link between these variables in the context of Pakistan.

An empirical analysis of the determinants of the cash conversion cycle in Kenyan listed non-financial firms

2014 ◽  
Vol 4 (2) ◽  
pp. 175-196 ◽  
Author(s):  
David Mutua Mathuva
Keyword(s):  
Least Squares ◽  
Fixed Effects ◽  
Capital Expenditure ◽  
Ordinary Least Squares ◽  
Return On Assets ◽  
Cross Sectional ◽  
Content Type ◽  
Internal Resources ◽  
Financial Firms ◽  
Cash Conversion Cycle

Purpose – The purpose of this paper is to investigate whether non-financial firms listed on the Nairobi Securities Exchange (NSE) exhibit a target cash conversion cycle (CCC). The study also examines the speed of adjustment to the target CCC and the factors that influence corporate decisions on the optimum length of the CCC. Design/methodology/approach – Based on a sample of 33 publicly traded firms on the NSE for the period between 1993 and 2008, cross-sectional and time series analyses were carried out on the data comprising 468 firm-years. A target adjustment model was developed to examine the significant determinants of the CCC. Various regression approaches including ordinary least squares, fixed effects and two-stage least squares estimation models were used in data analysis. Findings – The results, which are robust for endogeneity, show that non-financial firms listed on the NSE maintain a target CCC. Further analysis reveals that these firms adjust to the target CCC at a slower rate. The results show that the determinants of the CCC include both firm-specific and economy-wide factors. Specifically, the study establishes that older firms and firms with more internal resources maintain longer CCC. Moreover higher return on assets, investment in capital expenditure and growth opportunities have a significant negative association with the CCC. The results also show a significant positive relation between inflation and the CCC. Practical implications – The study establishes that other than internal firm-specific factors, the CCC is also influenced by inflation, which is an external, economy-wide factor. Originality/value – To the best of the author's knowledge, this is the first study to examine whether listed non-financial firms in a frontier market maintain a target CCC.

scholarly journals Data Envelopment Analysis and Multifactor Asset Pricing Models

2020 ◽  
Vol 8 (2) ◽  
pp. 24
Author(s):  
Pablo Solórzano-Taborga ◽  
Ana Belén Alonso-Conde ◽  
Javier Rojo-Suárez
Keyword(s):  
Data Envelopment Analysis ◽  
Asset Pricing ◽  
Least Squares ◽  
Explanatory Power ◽  
Ordinary Least Squares ◽  
Efficiency Factor ◽  
Data Envelopment ◽  
Pricing Models ◽  
Cross Sectional ◽  
Asset Pricing Models

Recent literature shows that market anomalies have significantly diminished, while research on market factors has largely improved the performance of asset pricing models. In this paper we study the extent to which data envelopment analysis (DEA) techniques can help improve the performance of multifactor models. Specifically, we test the explanatory power of the Fama and French three-factor model, combined with an additional factor based on DEA, on a sample of 2101 European equity funds, for the period from 2001 to 2016. Accordingly, we first form the fund portfolios that constitute our test assets and create the efficiency factor. Secondly, we estimate the prices of risk tied to the four factors using ordinary least squares (OLS) on a two-stage cross-sectional regression. Finally, we use the R-squared statistic estimated by generalized least squares (GLS), as well as the Gibbons Ross and Shanken test and the J-test for overidentifying restrictions in order to study the performance of the model, including and omitting the efficiency factor. The results show that the efficiency factor improves the performance of the model and reduces the pricing errors of the assets under consideration, which allows us to conclude that the efficiency index may be used as a factor in asset pricing models.

Impact of pricing mechanism on IPO oversubscription: evidence from Pakistan stock exchange

2020 ◽  
Vol 32 (2) ◽  
pp. 239-254 ◽  
Author(s):  
Waqas Mehmood ◽  
Rasidah Mohd-Rashid ◽  
Abd Halim Ahmad
Keyword(s):  
Initial Public Offerings ◽  
Robust Regression ◽  
Stock Exchange ◽  
Least Square ◽  
Cross Sectional ◽  
Content Type ◽  
Public Offerings ◽  
Ordinary Least Square ◽  
Pricing Mechanism ◽  
Available Information

Purpose The purpose of this paper is to examine the effects of pricing mechanism on initial public offerings (IPOs) oversubscription in Pakistan. Design/methodology/approach This study used cross-sectional data to analyse 85 listed IPOs on the Pakistan stock exchange during the period of 2000-2017 to assess hypotheses related to influential determinants of IPO oversubscription. Accordingly, ordinary least square, robust regression and quantile regression approaches were applied in this study to evaluate the factors that influenced oversubscription. Findings The outcome displayed pricing mechanism is negatively significant with an oversubscription of IPOs. This indicates firms using the fixed-price mechanism signalled higher information asymmetry and uncertainty in their value. Thus, investors are aware that they will be offset with underpricing, and it is expected the demand will be higher for the particular IPOs. Research limitations/implications This study is entirely focused on the available information of prospectus that should not be ignored by potential investors at the time of subscription of IPO. Therefore, the study contributes to extending the available literature in signalling theory whereby issuers should consider using the book-building pricing mechanism in enhancing the efficiency of the IPO offer price during the listing. Originality/value This paper provides evidence for the determinants of the IPO oversubscription.

scholarly journals Value-added in higher education: ordinary least squares and quantile regression for a Colombian case

2017 ◽  
Vol 37 (3) ◽  
pp. 30-36
Author(s):  
Jose D Bogoya ◽  
Johan M Bogoya ◽  
Alfonso J Peñuela
Keyword(s):  
Higher Education ◽  
Quantile Regression ◽  
Least Squares ◽  
Value Added ◽  
Ordinary Least Squares ◽  
Independent Variables ◽  
State Tests ◽  
Socioeconomic Stratum ◽  
The Mean ◽  
Lineal Regression

Colombia applies two mandatory National State tests every year. The first, known as Saber 11, is applied to students who finish the high school cycle, whereas the second, called Saber Pro, is applied to students who finish the higher education cycle. The result obtained by a student on the Saber 11 exam along with his/her gender, and socioeconomic stratum are our independent variables while the Saber Pro outcome is our dependent variable.We compare the results of two statistical models for the Saber Pro exam. The first model, multi-lineal regression or ordinary least squares (OLS), produces an overall well fitted result but is highly inaccurate for some students. The second model, quantile regression (QR), weight the population according to their quantile groups. OLS minimizes the errors for the students whose Saber Pro result is close to the mean (a process known as estimation in the mean) while QR can estimate in the -quantile for every . We show that QR is more accurate than OLS and reveal the unknown behavior of the socioeconomic stratum, the gender, and the initial academic endowments (estimated by the Saber 11 exam) for each quantile group.

Sign in / Sign up

Export Citation Format

Share Document