scholarly journals Overreaction and representativeness heuristic in initial public offering: Evidence from Tehran Stock Exchange

2014 ◽  
pp. 287-294
Author(s):  
Maryam Khalili Araghi ◽  
Bahman Esmaeili
2016 ◽  
Vol 8 (1) ◽  
pp. 53-74
Author(s):  
Maria Jeanne ◽  
Chermian Eforis

The objective of this research is to obtain empirical evidence about the effect of underwriter reputation, company age, and the percentage of share’s offering to public toward underpricing. Underpricing is a phenomenon in which the current stock price initial public offering (IPO) was lower than the closing price of shares in the secondary market during the first day. Sample in this research was selected by using purposive sampling method and the secondary data used in this research was analyzed by using multiple regression method. The samples in this research were 72 companies conducting initial public offering (IPO) at the Indonesian Stock Exchange in the period January 2010 - December 2014; perform initial offering of shares; suffered underpricing; has a complete data set forth in the company's prospectus, IDX monthly statistics, financial statement and stock price site (e-bursa); and use Rupiah currency. Results of this research were (1) underwriter reputation significantly effect on underpricing; (2) company age do not effect on underpricing; and (3) the percentage of share’s offering to public do not effect on undepricing. Keywords: company age, the percentage of share’s offering to public, underpricing, underwriter reputation.


Author(s):  
Saefudin Saefudin ◽  
Tri Gunarsih

Underpricing is a phenomenon that still occurs in the Indonesian capital market, where the offering price of shares in the primary market is lower than the opening price or closing price on the first day on the secondary market. This study aims to examine the effect of Return On Assets (ROA), Debt to Equity Ratio (DER), company size, underwriter reputation, age, and interest rates on the underpricing of shares in companies’s Initial Public Offering (IPO) listing on the Indonesia Stock Exchange (BEI) in 2009 to 2017. The population in this study are companies that conduct IPOs on the BEI period 2009 to 2017. The sample selection in this study uses a purposive sampling method, based on certain criteria. The sample in this study were 183 underpricing companies from 205 companies conducting IPO in the period 2009 to 2017. The data used in this study used secondary data. The multiple regression analysis was implemented in this study. The results showed that DER, company size, and underwriter reputation did not significantly influence underpricing. While ROA, age and interest rates have a significant negative effect on underpricing. In this study, investors consider ROA, age, interest rates compared to DER, company size, and the reputation of the underwriter to invest in companies that make an IPO.Keywords: Underpricing, Initial Public Offering, and Indonesian Stock Exchange.


2016 ◽  
Vol 31 (4) ◽  
pp. 449-460 ◽  
Author(s):  
Qing L. Burke ◽  
Tim V. Eaton

ABSTRACT In September 2014, the Chinese e-commerce giant Alibaba Group Holding Limited issued shares on the New York Stock Exchange, making it the world's largest initial public offering. This case examines different aspects of the Alibaba Group's initial public offering, including Alibaba Group's business model, financial reporting and corporate governance, as well as the macroeconomic, political, and legal environment in which the company operates. In addition, this case will familiarize students with the risks and opportunities for Chinese companies and investors when a Chinese company lists in the U.S. This case is suitable for financial accounting and international accounting courses at the intermediate and advanced levels for undergraduates as well as graduate students. The case is scalable, and instructors can choose from multiple sections of the case and different case questions to tailor the case difficulty to their students' learning needs.


Author(s):  
Hanen Ghorbel ◽  
Hela Elleuch

<p>The purpose of this paper is to investigate the determinants of intellectual capital information’s of firms that went through IPO.              Our sample includes 43 firms that IPOs listed in the Toronto Stock Exchange in 2012 of which the prospectuses for the initial public offering are available. Our study, unlike other studies focuses on the issuing prospectuses. The paper applied a disclosure index comprising of 78 items (Bukh and al (2005)) to quantify the amount of information regarding intellectual capital included in the IPO prospectuses of canadian firms. Multiple regression model and Correlation is used. The results revealed that the managerial ownership, the presence of an audit committee and industry are significantly associated with the voluntary disclosure of information about the intellectual capital in prospectuses. While firm size, age, the audit committee’ activity and audit quality do not affect disclosure. The results are interpreted in the light of the increasing importance of disclosing information on intellectual capital to the capital market a in case of IPO and constitute a contribution to the ongoing debate on corporate reporting practices.</p>


The Winners ◽  
2007 ◽  
Vol 8 (1) ◽  
pp. 24
Author(s):  
Synthia Atas Sari ◽  
Hartiwi Prabowo

Right issue is when a firm announces its plan to publicly offer additional shares of common stock after Initial Public Offering (IPO). The aim of this research are to test market stock price and examine the role of growth opportunities in stock price reaction to right issue announcement. Sample was taking from companies which been listed in Jakarta Stock Exchange and publish right issue from 1998 to 2005. To measure growth opportunities, the companies were divided into 2 groups, growth and mature. This classification using Tobin’s q proxy method (market-book value ratio). The research have final conclusion, that is at right issue announcement in Jakarta Stock Exchange, market give positive reaction and statistically significant, and so in normal period.


2016 ◽  
Vol 51 (5) ◽  
pp. 1663-1688 ◽  
Author(s):  
Sturla Lyngnes Fjesme

Tying initial public offering (IPO) allocations to after-listing purchases of other IPO shares as a form of price support has generated much theoretical interest and media attention. Price support is price manipulation and can reduce secondary investor return. In the past, obtaining data to investigate price support has proven to be difficult. I document that price support is harming secondary investor return using new data from the Oslo Stock Exchange. I also show that investors who engage in price support are allocated more future oversubscribed allocations, whereas harmed secondary investors significantly reduce their future participation in the secondary market.


2018 ◽  
Vol 47 (3) ◽  
pp. 167-195 ◽  
Author(s):  
John Kong Shan Ho

The request of Alibaba, China’s largest e-commerce company, to allow a self-selected group of its past and present management known as the ‘partners’ the right to nominate a majority of the directors in its negotiation with the Hong Kong Stock Exchange (HKEx) for an initial public offering (IPO) in 2013 reignited a new round of debate over the one share, one vote policy, which has survived for three decades in Hong Kong. Alibaba’s IPO application to list on the HKEx was eventually rejected which ultimately led to the company’s decision to list on the New York Stock Exchange. In late 2017, the debate on whether companies with dual-class share (DCS) structure should be allowed to list in Hong Kong re-emerged as the HKEx has announced that it would amend its listing rules to enable companies with DCS structure to list on its exchange, subject to certain safeguards and restrictions. This article examines what measures Hong Kong could adopt to allow companies with DCS structure to list on its exchange despite legal and institutional shortcomings of its financial market. In doing so, it will also make reference to other major financial markets in the world and examine how other jurisdictions have handled the issue of DCS structure companies.


2017 ◽  
Vol 7 (1) ◽  
pp. 336 ◽  
Author(s):  
Shaho Heidari Gandoman ◽  
Navab Kiamehr ◽  
Mahmood Hemetfar

The present study compares the ability of neural networks, support vector machine, and model derived from combining particles swarm optimization (PSO) algorithm and support vector machine (SVM) to forecast the initial public offering pricing. The purpose of this research is to design a model that helps investors recognize the validity of the initial public offering pricing and hunt profitable opportunities. The variables used in this study are selected among those variables which are in the disposal of investors who have limited access to information before the offering. On the other hand, these results can be useful for publishing companies, admissions consultant, underwriting and legislators of the stock exchange. We have considered the ninth day offering prices, since volatilities are gone and prices seem to be more realistic. The results show that the combination of particle swarm optimization (PSO) algorithm and support vector machine (SVM) markedly increases the forecasting power. As a result, support vector machine models can increase the accuracy of initial public offering pricing and provide significant economic benefits as reducing less than real pricing costs.


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