Determinants of IPO underpricing in
New York and Hong Kong
Is the underpricing an additional incentive for Chinese companies to go public on the New York Stock exchange rather than the Hong Kong Stock Exchange, based on the underpricing in the period from
2005-‐2015?
Alex Moonen (10191836) Supervisor: Yumei Wang
June 2016
In this thesis, the IPO underpricing of the New York Stock Exchange and the Hong Kong Stock exchange are examined in the period from 2005-2015. Institutional differences and restrictions of both exchanges have been disclosed. A sample of 965 New York Stock Exchange and 1529 Hong Kong Stock Exchange IPOs is used for this study. The underpricing in the period from 2005-2015 is 6,70% point higher on the New York Stock Exchange and is tested by the Propensity Score Matching method. The factors influencing the level of underpricing are still consistent with previous literature. The book runner (indicating that the IPO is underwritten by a prestigious underwriter) has a positive effect on underpricing. Also, the high-tech industry effect is positive and significant.
Statement of Originality
This document is written by Alex Moonen who declares to take full responsibility for the contents of this document. I declare that the text and the work presented in this document is original and that no sources other than those mentioned in the text and its references have been used in creating it. The Faculty of Economics and Business is responsible solely for the supervision of completion of the work, not for the contents.
Contents
1. Introduction ... 3
2. Background information ... 5
2.1 Hong Kong stock market ... 5
2.2 New York stock market ... 5
2.3 Institutional differences ... 6
2.3.1 Listing requirements ... 6
2.3.2 Corporate governance requirements ... 7
2.4 IPO process ... 9
3. Literature review ... 10
3.1 The definition of an IPO ... 10
3.2 IPO underpricing determinants ... 11
3.3 IPO underpricing theories ... 12
3.3.1 Underwriter theory ... 12
3.3.2 Asymmetric information ... 13
3.3.3 Symmetric information ... 14
4. Data & methodology ... 15
4.1 Data ... 15
4.2 Regression ... 15
4.2.1 Hypothesis ... 17
5. Results ... 18
6. Conclusions ... 24
7. Limitations ... 25
8. Recommendations for future research ... 25
References ... 26
1. Introduction
On the 19th of September 2014, the world’s largest-‐ever stock market flotation of Alibaba Group
took place on the New York Stock Exchange (NYSE) with an amount of $25 billion. The worldwide enthusiasm had not only to do with the IPO value, but also because of the choice for listing on the NYSE. This is because this company has its roots in China and the Hong Kong Stock Exchange (HKSE) was the preferred listing venue. Regulations of the HKSE and operating characteristics of Alibaba have ensured that Alibaba was forced to list on the NYSE (Huang, 2015). This specific example shows how differences in regulation and legislation can ensure that certain companies are forced to choose another stock exchange abroad.
Hong Kong is important for the Chinese economy and attracts a number of financial activities from mainland China. It has established itself as a leading financial center. In 1993 the first mainland Chinese company listed on the HKSE. At the end of 2013, out of the 1642 public listed companies, 797 companies were from mainland China (Yeung & Huang, 2015).
The number of Chinese companies listed on US stock exchanges has grown tremendously. The number increased from 34 in 2001 to 294 Chinese companies listed in the US in 2011. This is due to several factors. First, the growth of the Chinese economy resulting in the desire of public listing from companies and secondly, the long and difficult regulatory process for listing on Chinese stock exchanges (Ang, Jiang, & Wu, 2016).
According to Dreher & Hopp (2013) there exists a large fluctuation in the amount of underpricing. The underpricing for 24 countries in the time period of 1988-‐2005 is to be seen. It appears that the underpricing in this period for the US market varies between 21.73 and 72.98% and in Hong Kong between 13.12 and 37.80%. Banerjee, Dai & Shrestha (2011), report an average underpricing of 5,26% in Hong Kong and 5 % in de US market between 2000-‐2006.
Due to large and diverse differences new research is required in the period after 2005. In this period the financial recession had a major impact on the financial markets. The economic developments in China in combination with the annual GDP growth of 10% have ensured China to become the second largest economy and an influential player in the global economy.
Based on this, the main research question of this thesis is as followed:
Is the underpricing an additional incentive for Chinese companies to go public on the New York Stock exchange rather than the Hong Kong Stock Exchange, based on the underpricing in the period from 2005-‐2015?
This thesis describes the phenomenon of IPO underpricing and its theories. The institutional differences and restrictions between the Hong Kong Stock Exchange and the New York Stock Exchange will be discussed. The underpricing in the period from 2005-‐2015 will be examined.
The thesis is organized as follows. Chapter 2 provides background information about the features of the NYSE and HKSE, chapter 3 contains literary reviews of classical IPO underpricing theories. The methodology and regression are included in chapter 4. Chapter 5, 6, 7 and 8 contain the results, conclusions, limitations and recommendations respectively.
2. Background information
This part provides background information of the stock markets of Hong Kong and New York. Section 3 discusses the institutional differences between the two exchanges and part 4 describes the IPO process.
2.1 Hong Kong stock market
In 1860 Hong Kong started trading in company shares, the Association of Stockbrokers in Hong Kong was formed in 1891. Hong Kong has a service-‐oriented economy and 90% of Hong Kong’s GDP depends on it (Yeung & Huang, 2015). When the British Empire colonized Hong Kong in 1842 it was a small fishing village, but soon became one of the most affluent areas in the region with a gross domestic product (GDP) per capita of $52.700 in 2013, the fifteenth highest in the world. The Hong Kong Stock Exchange is the 3th largest stock market in Asia and the 6th largest in the world by market
capitalization.
Since the arrangement of 1983, the Hong Kong dollar is closely linked to the US dollar. The Hong Kong stock market has developed itself as the most important stock market for mainland Chinese firms who want to list abroad. 51% of the Hong Kong Stock Exchange consists of mainland Chinese companies. These companies are responsible for 62.1% of the exchange's market capitalization (Yeung & Huang, 2015).
The uncommon relationship between Hong Kong and China, also referred to as the ‘one country, two systems’ formula, implies China’s socialist economic system would not be imposed on Hong Kong. For this reason Hong Kong can maintain a high degree of autonomy and can protect its status as a premier financial center (Yeung & Huang, 2015).
Due to the inflow of Chinese companies on the Hong Kong Stock Exchange, the number of Initial Public Offerings (IPOs) increased significantly since the 1990s. Nowadays, the term ‘Nylonkong’ is used to illustrate the created financial network between Hong Kong, London and New York by a shared economic culture. The Hong Kong stock market was leading in attracting IPOs in the world in the period from 2009-‐2011. In 2013, Hong Kong ranked second in terms of attracting IPO funds worldwide after a performance drop after 2011 (Yeung & Huang, 2015).
2.2 New York stock market
The New York Stock Exchange also known as ‘the Big Board’ is the largest stock exchange in the world by market capitalization. Nearly 2800 companies are listed, of which 1500 are US companies. The stock market found its origin from the Buttonwood Agreement in 1792. In 2007 the exchange merged with the Euronext, to the current NYSE Euronext how the exchange is formally called.
The US economy is marked as the most technologically powerful economy in the world, with a gross domestic product (GDP) per capita of $54,800 in 2015. Individual freedom and free enterprises characterizes the US market. The US market is featured with the lowest rates of unemployment and inflation, making it one of the most efficient marketplaces in the world. A primary and secondary market characterizes the stock market in the US. Companies’ initial public offerings are transacted in the primary market. Investors trade shares of companies that are publicly held in the secondary market. Compared to the secondary market, the primary market is less active.
2.3 Institutional differences
The number of mainland Chinese companies listing on US stock exchanges has grown tremendously. One of the reasons of this growth is the long and difficult regulatory processes for listing. This part reveals the most important differences in listing and corporate governance requirements between the New York Stock Exchange and the Hong Kong Stock Exchange.
2.3.1 Listing requirements
The NYSE has two types of listing standards; the alternative, which is meant for non-‐US companies and domestic standards for US companies. For the HKSE, there is only one listing standard (Huang, 2015). The two stock exchanges are characterized by different financial requirements.
-‐Financial requirements
The Hong Kong stock exchange requires a minimum trading record of three years, alongside the company must undergo a profit test. This test implies the requirement that a company makes a profit of $6.50 million in the preceding three years, including at least $2.60 million in the last year (HKEX, 2016). If the company cannot meet the requirement, there are two alternatives to be considered. The ‘market capitalization/revenue’ test, which requires a turnover of $64.50 million and a market capitalization over $516 million. The second test that can be used is the ‘market-‐ capitalization/revenue/cash flow’ test, which requires a turnover of $64.50 million in the most recent year, market capitalization over $257.80 million and a positive cash flow of $12.90 million over the last three financial years (exchange rates June 2016) (HKEX, 2016).
Compared, the New York Stock Exchange knows more lenient requirements. This means if an applicant meets the earnings test (EBIT of $100 million in the last 3 years and in the last 2 years a minimum of $25 million) there is no required market capitalization. However, when the valuation is based on ‘valuation/sales cash flow’ test or the ‘pure valuation/revenue’ test, the company must have a minimum market capitalization of $500 million respectively $750 million (NYSE, 2016).
-‐Shareholders and Free Float
A minimum of 300 shareholders is required on the HKSE, for the free-‐float (this percentage indicates the minimum percentage of shares sold to the public) a percentage of 25% is required. When market capitalization exceeds $1,3 billion this percentage declines to 15-‐25% (HKEX, 2016).
Unlike the Hong Kong Stock Exchange, the New York Stock Exchange has no requirement regarding a minimum percentage of free-‐float. But for non-‐US issuers, it requires a minimum of 5000 shareholders worldwide with a minimum of 2.5 million shares with a value that exceeds $100 million (NYSE, 2016).
-‐Working capital
Working capital is defined as the available money supply for day-‐to-‐day operations. This unit is used to indicate whether the short-‐term obligations can be met. This requirement is made for the protection of shareholders. To join the New York stock exchange there are no requirements for working capital. However, the publication of these figures is required (NYSE, 2016). On the Hong Kong stock exchange it is required to disclose in the prospectus that current obligations can be met. In the case of Hong Kong this means 12 months after issuance of the prospectus (HKEX, 2016).
2.3.2 Corporate governance requirements
Besides requirements within financials, corporate governance requirements differ between the two exchanges.
-‐Board of directors’ requirements
The Board of Directors carries out the management of a company. They connect managers and investors and determine the success of a company. The NYSE and the HKSE both have requirements for board membership when listing at the stock exchange. Both exchanges require a board that consists of external and internal members of the company. The NYSE requires that the board must be composed of independent members within one year after entry. These members may not be interested in the company in any way (section 3030A.02 of the NSE Listing Rules). According to the listing rules of Hong Kong, the board must contain at least three independent members, of which at least one member must meet the proper qualifications. It should have expertise in the area of financial management and / or the field of accounting (section 3:20 of the HKSE Main Board Listing Rules).
-‐Audit committee requirements
The Audit Committee serves to protect shareholders against internal controls and financial reporting independently. The committee assists the board of directors to fulfill these tasks (Huang, 2015). On both the NYSE and the HKSE companies must have an audit committee. The requirements and composition generally corresponding. For both exchanges, the audit committee must contain at least 3 directors from which 1 must satisfy professional, accounting or related financial expertise and the majority must be independent (Section3.21 of the HKSE Mainboard Listing Rules)(Section 303A.07 of the NYSE Listing Rules).
However, the NYSE the rules are more stringent in the situation of an IPO.
From the date of listing, at least one independent director must within the committee, after 90 days the majority and by a year after the IPO all directors must be independent. Also on the NYSE an ‘audit committee financial expert’ is required to perform certain accounting actions to protect shareholder interest (SOX Section 407).
In addition to these requirements and differences (in which the NYSE had clearly stricter rules), the committee has received additional duties from the Sarbanes-‐Oxley act.
-‐ Sarbanes-‐ Oxley act of 2002 (SOX)
President Bush signed the Public Company Accounting Reform and Investor Protection Act (SOX) of 2002 in response to governance failures (Hostak, Lys, Yang, & Carr, 2013). SOX established more stringent standards for auditing, internal control, disclosures, management conduct and accountability to increase the accuracy and reliability of corporate disclosures to restore and improve investors’ confidence in US capital markets (Hostak, Lys, Yang, & Carr, 2013). The Sarbanes-‐ Oxley act created additional requirements for listed firms in the United States. It imposes severe costs and created significant legal exposure for companies as well as for executives, which makes US listing less attractive to foreign companies (Doidge, Karolyi, & Stulz, 2007). The stricter regulations of corporate governance requirements and the increased costs related to SOX resulted in deregistration of firms from the NYSE.
Additional requirements for listing in the US are imposed by the Sarbanes-‐Oxley act. New York does not have any requirements for companies to post profits before going public while in Hong Kong firms need to post profits in three consecutive years before the IPO. Another potential advantage of New York is that it provides a better visibility to gain international recognition for companies that desire to acquire global market share.
Whether to list in Hong Kong or New York is influenced by several characteristics of both cities, exchanges and legislation. Some of these characteristics are in favor of Hong Kong whereas others are in favor of New York. In the end, the decision of where to list will be determined by the norms and values that the private firms value most.
2.4 IPO process
Going public is one way for a company to acquire capital, to add liquidity to the investment for the company or to improve brand awareness (Rock, 1986). After having chosen to go public, some steps are involved.
At first, companies need to acquire an investment bank for the IPO process, this party is called the underwriter and is obligated to several tasks. These tasks include the following; advising the issuing company, looking for investors to buy the shares, and if unsuccessful, the underwriter should purchase the shares himself. In many cases the IPO is managed by several banks, one bank is the leading bank and indicated as the ‘lead underwriter’. The other investment banks are referred to as ‘sub-‐underwriters’ (Baron, 1982).
Once the underwriters are chosen, the manner in which shares are sold, prices are set and the distribution of the stock is determined. Here are two possibilities that may arise when distributing the stock: first the method of firm commitment. This is when the investment bank buys the shares at an agreed price of the company and then sells them to the market. The discount at which the underwriter buys the shares is usually around 7% (Chen & Ritter, 2000). This method has a high risk for the investment bank. The other type of underwriting: ‘best effort offering’ means that the underwriter will not buy the securities. The issuing firm and underwriter will agree on the offering price, the minimum and maximum amount of shares to be sold. The underwriter basically performs as an agent in this type of underwriting.
The next step involves the marketing of the offering (Road show process). The issuing firm has to prepare an official registration statement and has to be filed to the Exchange Commission. Once the exchange commission accepts the prospectus, a file including the IPO details, the marketing and offering begins. Private and institutional investors receive the prospectus to create interest in the stock and the underwriter then registers the placed orders. These are not legally binding before the effective day (Ellis, Michaely, & O'Hara, 1999). The day before the IPO the underwriters and the issuing firm will discuss the price and amount of securities that will be sold. These shares are often underpriced. The phenomenon of underpricing is referred to as ‘leaving money on the table’ (Ritter, 1987).
3. Literature review
This chapter provides the IPO definition, a literary review and the determinants of IPO underpricing. The most important theories of IPO underpricing are discussed.
3.1 The definition of an IPO
Going public is an important turning point in the life of a young company. An IPO gives companies easily access to capital by selling stock to investors, which gave them a way of investment diversification. It provides a lot of benefits for the issuing company, such as providing access to public capital for the firm what may lead to a lowering in the cost of funding (Ljungqvist, 2005). For many decades IPOs have intrigued many economists. Important writers such as Logue and Ibbotson documented the phenomenon of underpricing since the 1970s and showed that the share price jumps substantially on the first day of trading (Ljungqvist, 2005). Since the 1960s a lot of research on this subject has been done and from the 1980s it had been attempted to rationalize why IPOs are underpriced. The best known theories about IPO underpricing are the underwriter, asymmetric information and symmetric information theories. When a company goes public, investors purchase stock from a firm and have to pay the offer price. From this point on investors can sell these to the stock market, this is called the ‘aftermarket stage’ and prices are determined by supply and demand. This price is not known beforehand because underwriters cannot predict the aftermarket price. When, at the end of the first trading day, the stock price is above the offer price, the stock is underpriced. There are two reasons that may play a possible role in this; underwriters misjudge the share price or it is done consciously.
The main reason for a young and growing company to go public is the access to additional equity capital to finance (future) projects (Ritter & Welch, 2002). Another reason of going public for private companies is the awareness among investors. This can be created through listing on a large stock exchange, this creates listing publicity around the firm. Ljungqvist (2005) and Pagano et al. (1998) stated in their articles that IPOs are also followed by lower cost of credit and companies are able to borrow more cheaply. Their study revealed that around the IPO date the interest rate on their short-‐ term credit falls and the number of banks willing to lend them rises.
Going public associates a large amount of costs. Ritter (1987) stated that direct costs and underpricing together costs between the 21,25% and 31,87% of the realized market value of the securities issued, depending on which offer is made. The most important costs of going public are the indirect costs of underpricing. This amount a company does not receive with the offering. Additional costs are present once a company is listed; for instance they include accountants to be
hired to report mandatory financial statements, rewards for directors and costs to maintain customer contacts (Ritter, 1987).
3.2 IPO underpricing determinants
Past research showed that IPO underpricing occurs anywhere in the world and some important factors must be taken into account in explaining IPO underpricing.
Ritter (2002) conducted a test to investigate the IPO underpricing in Hong Kong and found an initial return of 15.9%. For the US market the initial return on IPOs was 15.8%. Wang (2012) reported in his paper the IPO underpricing in Hong Kong of 102 GEM (growth enterprise market) in the period from 1999-‐2011 and explained that IPO size and the offer price are important determinants of IPO underpricing.
The size of the IPO, measured as total IPO value (quantity of shares times the offer price) is an important factor in explaining IPO underpricing. Wang (2012) found a negative relationship between the size and IPO underpricing. A large IPO size indicates less speculation due to a smaller amount of uncertainty. The higher the IPO value the more investors believe the firm is developed and will bring more certainty. Therefore, a negative relationship with IPO underpricing is expected (Beatty & Ritter, 1986). McGuinness (1992) conducted an IPO underpricing test in Hong Kong in the period between 1980-‐1990, resulting in an underpricing level of 18% by calculating the initial excess market return. Underpricing in the United States reported by Ljungqvist (2005) show the following results, since the 1960s underpricing of IPOs averaged around 19%. In the 1970s underpricing tends to be 12%, 16% in the 80s and 21% in the 90s. Dreher & Hopp (2013) tested the underpricing in the period from 1988-‐ 2005. For the US market the underpricing varies between 21.73 and 72.98% and in Hong Kong market between 13.12 and 37.80%. Banerjee, Dai & Shrestha (2011), reported an average underpricing of 5,26% in Hong Kong and 5 % in de US market between 2000-‐2006.
The time between the announcement and the issue date of the IPO, defined as lag, will influence the underpricing (Tian, 2003). A larger time gap (lag) would lead to higher risks and therefore a greater initial return. In China, after a company makes a public offering, the firm must wait until their shares float. During this period investments are locked up and this illiquidity of equity shall be compensated with discounts of share prices (Tian, 2003). The findings of Tian revealed an increase of initial returns on IPOs increases by 0.4% per extra day of delay. We expect a positive relationship between lag and underpricing.
The reputation of the underwriter has an effect on the level of underpricing. In prior research Beatty & Ritter (1986) and Carter et al. (1998) empirically showed that underwriters with a better reputation decrease underpricing. Dewenter & Field (2001) investigated IPOs in relation to underwriter reputation in Hong Kong. The investigation revealed that investment banks avoid issues that could provide high speculation around the issue in order to maintain their reputation. This tends towards a positive relationship with underpricing. The six biggest underwriters in China are Huaxia Securities, Haitong Securities, Shenyin-‐Wanguo Securities, Junan Securities, Nanfang Securities and Guotai Securities (Chen, Firth, & Kim, 2004). From the Statista database the largest underwriters in the US market are Morgan Stanley, Goldman Sachs, Merrill Lynch, J.P. Morgan, Credit Suisse and Citigroup. The direction of the relationship with underpricing is not clear ex-‐ante. Technology companies have more ex ante uncertainty and higher risk, this is because these companies are valued mainly from growth opportunities. For these reasons an IPO of a firm in the high-‐tech industry are characterized by a higher level of underpricing. These firms are categorized by the following SIC codes for high-‐tech firms: 2833, 2834, 2835, 2836, 3571, 3572, 3575, 3577, 3578, 3661, 3663, 3669, 3674, 3812, 3823, 3825, 3826, 3829, 3841, 3845, 4812, 4813, 4899, 7370, 7371, 7372, 7373, 7374, 7375, 7377, 7378 and 7379 (Loughran & Ritter, 2002).
In periods of recession there is a significant drop in economic activity and a decline is consumer wealth. This caused a drop of IPO issued worldwide (Ritter, 1984). Chen et al. (2015) stated in their research that Chinese IPO’s experience higher initial returns during periods of recession. ‘The great recession’ indicates the time period between 2007-‐2009. This period indicates the recession period in the United States, but for the Hong Kong market the recession had its impact since Q4 2008 and recovered in Q4 2009, this period indicates the recession period for Hong Kong (Fung, 2014). Uncertainty is higher during recessions and this causes a higher initial return of stock prices. A positive relationship between recession and underpricingis expected.
3.3 IPO underpricing theories
In the past, much has been written about underpricing and is a well-‐known phenomenon in the financial literature. The main theories to explain IPO underpricing are asymmetric information, symmetric information and the underwriter theory. This section will provide an overview of the existing literature in connection with the US and Hong Kong stock markets.
3.3.1 Underwriter theory
Ibbotson (1975) and Ritter (1984) provide evidence in their papers that IPOs on average are underpriced. When a firm goes public, certain costs are involved. Besides the direct costs there are also indirect costs. The main component of indirect costs include underpricing costs, also described
by Ritter (1986) as ‘money left on the table’. Investors are willing to pay more than the offer price, which is lower than the market value. The issuing firm cannot make a credible commitment about the price, for this reason they must hire an investment bank (Beatty & Ritter, 1986). The reputation of the underwriter has a major impact on the level of underpricing. Underwriters have an incentive to underprice shares if the following three conditions are met. The first condition is that the investment bank will lose customers if they deviate from the expected price. Another condition is that the underwriter cannot predict the aftermarket share price and the last condition is that the good reputation of the underwriter is at stake (Beatty & Ritter, 1986).
Underpricing levels tend to be lower when a well-‐known established broker underwrites the IPO. There is less effect of reputation on underpricing in less mature stock markets. Therefore underwriter performance is expected to have a greater influence on IPO underpricing in the US stock market, because the stock market in Hong Kong is less mature.
3.3.2 Asymmetric information
Companies work together with underwriters to determine the price that has to be paid for the shares when issued. On the basis of the information supplied by the company, analysts calculate the price at which the shares are offered.
Baron (1982) was one of the first who describes a model for the underpricing of shares as a result of asymmetric information and explained the underpricing phenomenon by looking at how well the market is informed. The underwriter has several roles in the IPO process, distribution of the shares and advising the firms are just as important as the underwriting itself. If the issuer is poorly informed, the demand for advice from the underwriter will be great and reflects a high discount on the shares. In contrast, when the underwriter and issuer are equally informed, the only task for the underwriter will be the distribution (Baron, 1982). The discount on the shares is important to the underwriter. The relationship between the underwriter and the issuer and between the underwriter and investor plays an important role. The underwriter and the issuer have a short-‐term relationship, which only includes the sales process. A higher discount on the shares allows the underwriter to sell them to investors more easily and this results in a better long-‐term relationship between the two parties. The degree of underpricing is higher when the underwriter possesses superior information, for this reason the underwriter requires a discount (Baron, 1982).
In contrast to Baron, Rock (1986) presented a model for underpricing of initial public offerings. His model is based on the existence of a group of investors whose information is superior to that of the company and other groups of investors. He named this the winner’s curse model. If the shares are priced at the expected value, an offer of good issues will cause crowding out of the uninformed
investors from the market. The group that owns superior information, however, will leave the market when the shares are offered at a price that deviates from the expected value price. This will lead to a discount on the share price in order to guarantee a purchase from the uninformed investors. The winner’s curse is the main reason for underpricing in China found by Ting and Tse (2006), where the underpricing in China is tested in the period 1995-‐1998.
3.3.3 Symmetric information
Other theories of underpricing that do rely on symmetric are declared by Tinic (1988). He argued that the reason why issuers underprice their IPOs is because it would reduce their legal liability. Inadequate information in the prospectus of an IPO requires commitment of considerable resources for legal fees because issuing firms are often sued (Keloharju, 1993). Ibbotson (1975) and (Tinic, 1988) also argue the underpricing of shares can be a cause to avoid lawsuits. Tinic (1988), Ibbotson (1975) and Beatty& Ritter (1986) all faced problems in testing their lawsuit-‐avoidance hypothesis. It became clear that it is difficult to make a proper test of hypothesis to estimate the extent to which legal liabilities affect the observed initial returns.
For the US market legal liability is not the primary determinant of underpricing (Keloharju, 1993). In China lawsuits concerning IPOs have not occurred yet, making the symmetric information theory less relevant (Hughes & Thakor, 1992).
4. Data & methodology
4.1 Data
In the period from 2005-‐2015 a sample of 965 IPO’s on the New York Stock exchange and a sample of 1529 IPO’s on the Hong Kong Stock Exchange is used. From the Thomson One database the offer price, closing price after the first day, deal value (total IPO size) and the book-‐runners are retrieved. From the Zephyr database the announcement date was retrieved. Unfortunately, because of missing announcement dates for the New York Stock Exchange, 384 observations were lost. This leaves us with 581 observations for New York. From the Hong Kong Stock Exchange a lot more observations were lost due to missing announcement dates, 620 observations remained.
This study uses two different stock markets with different companies. To combine these two existing datasets and to answer the central research question of this paper, the method of ‘Propensity Score Matching’ (PSM) is used. Propensity Score Matching is the most commonly used method of matching data and is applied in many fields of research. Even when the datasets does not belong to the same respondent, PSM can match without this requirement. This method transforms asymmetric information into symmetric information. This property enables propensity score matching to be used when overlap of respondents is little or non-‐existing and matches the observations by their degree of similarity. Propensity score matching provides a means for adjusting for selection bias (Rosenbaum & Rubin, 1983).
To use PSM, two groups with similar variables that affect outcome must be compared. The same variables for both exchanges are used. The data is treated as an experiment with a treatment group and non-‐treatment group. De NYSE data is used as the treatment group and the data of the HKSE is used for the non-‐treatment group (Rosenbaum & Rubin, 1983).
4.2 Regression
This study uses the market-‐adjusted rate of return to determine the extent of IPO underpricing. The initial returns from the stocks are defined as follows:
ER!"#= [ P!,!/P!,!!! − H!,!/H!,!!! ]
• ER!"#= Market adjusted rate of return on stock j at period t,
• P!,!=Closing price of stock j, t days from initial trading (t=1 refers to the end of first day
of trading),
• P!,!!!=Closing price of stock j one day before day t of trading (when t=1, t-‐1 refers to the
• H!,!= Index at the close of trading on day t for stock j,
• H!,!!!= Index at the close of trading for stock j one day before day t.
The equation measures the initial trading returns in excess market returns form. Empirical research deducted by Beatty and Ritter (1986) and Ibbotson (1975) support this measure as a useful ‘risk-‐ adjusted’ measure for IPO returns.
For P!,! and P!,!!! the offering and closing prices of trading day 1 are used to measure the IPO
underpricing in the excess market return form. For the market returns, the Hang Seng Index is used for Hong Kong IPOs and the S&P500 Index for IPOs on the NYSE.
The empirical research in this study was conducted by Propensity Score Matching to match two different stock markets with different companies. Ordinary least squares (OLS) was used to test hypothesis 2 and 3.
Regression equation:
𝐸𝑅!"#= 𝛽!+ 𝛽!𝑀𝑎𝑟𝑘𝑒𝑡 + 𝛽!𝐿𝑎𝑔 + 𝛽!ln 𝑆𝑖𝑧𝑒 + 𝛽!𝐵𝑜𝑜𝑘𝑅𝑢𝑛𝑛𝑒𝑟 + 𝛽!𝐻𝑖𝑔ℎ𝑇𝑒𝑐ℎ
+ 𝛽!𝑅𝑒𝑐𝑒𝑠𝑠𝑖𝑜𝑛 + 𝜀
In this study the model including the following variables is used: lag, deal size and three dummy variables: book-‐runner, high-‐tech and recession. The time between the announcement date and issue date of the IPO is defined as the lag variable. The IPO value is the total deal size and defined as total shares times the offer price, this variable is indicated by Ln(Size). If the IPO occurred between 2007 and 2009 (financial recession period) the dummy variable for recession in the United States takes the value 1 and 0 otherwise. However the recession had its impact since Q4 2008 and recovered in Q4 2009 in China (Fung, 2014). The dummy variable book-‐runner takes the value 1 if the book-‐runner is prestigious and 0 otherwise. When the book-‐runners are part of the top six underwriters in the United States or China the underwriter is indicated as ‘prestigious’. The distinction is made between high-‐tech and non-‐high-‐tech firms following SIC (Standard Industrial Classification) codes followed by (Loughran & Ritter, 2002).
4.2.1 Hypothesis
Hypothesis 1:
This hypothesis is related to the research question of this thesis, which is whether the underpricing in New York is lower than the underpricing in Hong Kong. This hypothesis will be tested by the method of ‘Propensity Score Matching’.
H0: β!= 0
H1: β!< 0
Hypothesis 2 and 3 will be tested by running an ordinary least squares (OLS) regression.
Hypothesis 2:
The second hypothesis will test if the IPO of high-‐tech firms will result in a higher level of underpricing. Loughran & Ritter (2002) argue high-‐tech firms will result in a positive relationship with underpricing.
H0: β! = 0
H1: β!> 0
Hypothesis 3:
The third hypothesis will test if the IPO underpricing is higher when underwritten by a prestigious book-‐runner. Beatty & Ritter (1986) and Carter et al. (1986) have shown with empirical research that book-‐runners with a better reputation decrease underpricing. Dewenter & Field (2010) investigated IPOs in relation to underwriter reputation in Hong Kong. The investigation revealed that investment banks avoid issues that could provide high speculation around the issue in order to maintain their reputation. This tends more towards a positive relationship with underpricing in Hong Kong. The direction of the relationship is not clear ex-‐ante.
H0: β! = 0
H1: β!≠ 0
5. Results
The descriptive statistics of the sample are presented in table 1. From the Thomson One database the offer price, closing price after the first day, deal value (total IPO size) and the book-‐runners are retrieved. From the Zephyr database the announcement date was retrieved.
Table 1: Descriptive statistics variables
Variable Mean Std.Dev Min Max
IPO return 6.24% 18.10% -‐28.96% 192.97% Market return -‐0.03% 0.58% -‐4.58% 27.55% Market 0.484 0.499 0 1 Lag 31.579 52.193 0 355 IPO size 292.677 1021.486 0.32 21767.22 LN(size) 4.573 1.579 -‐1.139 9.988 Book-‐runner 0.506 0.500 0 1 High-‐tech 0.165 0.371 0 1 Recession 0.143 0.350 0 1
From the regression conducted by the method of Propensity Score Matching, the results are presented in table 2 and 3. With this test the data is treated as an experiment with a treatment group and non-‐treatment group, de NYSE is used as the treatment group.
Table 2: Regression results PSM
Variables -‐0.051 MarketReturn (.086) 0.001 Lag (.001) 0.533*** LN(size) (.039) 1.796*** Book-‐runner (.101) 0.447** High-‐tech (.136) 0.253* Recession (.149) -‐3.596*** Constant (.210) Pseudo R2 0.5099 N 1201
* significant at 10% level ** significant at 5% level *** significant at 1% level
Table 3: Propensity Score Matching
Variable Sample Treated Controls Difference S.E. T-‐stat
Excess return Unmatched 12,8286311 0,114493482 12,7141377 0,980561477 12,97
ATE 6,70376862 . .
Within the used sample, prestigious underwriters on the NYSE execute IPOs more often. This can be deduced from the table because New York is used as the treatment group, and has a coefficient of 1.79. Furthermore, more high-‐tech companies are contained in the sample of New York (indicated by the high-‐tech coefficient). The total size of IPOs is larger on the NYSE. The variable lag does not have a significant effect on the probability being in one of the two markets so it looks like there is no significant difference in lag between the two markets. From the regression results in Table 3, the conclusion can be made that the underpricing in New York is 6,70 percentage point higher that the underpricing in Hong Kong. This leads to the result of hypothesis 1:
H0: β!= 0
H1: β!< 0
H0 is rejected, however the alternative hypothesis cannot be accepted since β! is significantly larger
than 0. This means there is more underpricing in New York than in the Hong Kong exchange.
To test the second and third hypothesis an OLS regression is done. The total dataset is used. Hypothesis 2 tests the effect on underpricing of the market sector high-‐tech. The influence of the book-‐runner on the IPO underpricing is tested with hypothesis 3. The dummy variable market is used to indicate the exchange, and take the value 1 if the IPO took place in New York and 0 otherwise. Results are showed in Table 4.
Table 4: Regression results OLS
Variables 10.310*** Market -‐1.240 -‐0.000 Lag (.010) 0.010 LN(size) (.210) 1.520 Bookrunner -‐1.050 11.350*** High-‐tech -‐2.060 -‐1.130 Recession -‐1.430 -‐1.120 Constant (.940) R-‐squared 0.180 N 1201
* significant at 10% level ** significant at 5% level *** significant at 1% level
From the results, the variable high-‐tech is significant and positive. This is consistent with the expectation stated in hypothesis 2. Therefore hypothesis 2 is consistent with (Loughran & Ritter, 2002). The third hypothesis, the direction of the relationship was not clear ex-‐ante because of divergent and contradictory literature. As table 4 shows, the variable book-‐runner is positive but not significant, for this reason a valid assumption cannot be made about the influence of the book-‐ runner. However from the 95% confidence interval [-‐0.62 and 3.53] it tends to be positive.
To see if the book-‐runner has an effect on the excess return, the insignificant variables are deducted from the model and results are showed in table 5. By leaving the inconsistent variables out, almost the same results and R-‐squared are obtained. The results show that the variable book-‐runner has no significant effect on the excess return of IPOs.
Table 5: Regression results OLS Variables 11.260*** Market (.900) 11.440*** High-‐tech (2.050) -‐1.070*** Constant (.230) R-‐squared 0.1762 N 1201
* significant at 10% level ** significant at 5% level *** significant at 1% level
From the analysis above, the variable LAG is not relevant in the regression. Table 4 shows no significant effect on excess return. Due to this conclusion the variable LAG can be omitted. As mentioned before, the variable LAG was limiting our number of observations due to missing announcement dates.
In the next section the variable LAG is excluded and the same regression is done. The number of observations increases to 2177.
New Regression equation:
𝐸𝑅!"#= 𝛽!+ 𝛽!𝑀𝑎𝑟𝑘𝑒𝑡 + 𝛽!ln 𝑆𝑖𝑧𝑒 + 𝛽!𝐵𝑜𝑜𝑘𝑅𝑢𝑛𝑛𝑒𝑟 + 𝛽!𝐻𝑖𝑔ℎ𝑇𝑒𝑐ℎ + 𝛽!𝑟𝑒𝑐𝑒𝑠𝑠𝑖𝑜𝑛 + 𝜀
Table 6: Descriptive statistics variables
Variable Mean Std.Dev Min Max
IPO return 3.99% 14.66% -‐28.96% 192.97% Market return -‐0,02% 0.52% -‐4.58% 3.82% Market 0.397 0.489 0 1 IPO size 260259 822.365 0.182 21767.22 LN(size) 4.391 1.674 -‐1.704 9.988 Book-‐runner 0.438 0.496 0 1 High-‐tech 0.130 0.336 0 1 Recession 0.124 0.330 0 1