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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.  

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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.  

 

 

 

 

 

 

 

 

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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

 

 

   

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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?  

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  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.  

 

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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.    

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  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).    

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-­‐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).  

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  -­‐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.  

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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).  

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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  

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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.  

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  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  

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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  

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  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).  

               

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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  

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  • 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).    

 

 

     

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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  

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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  

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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.  

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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.    

   

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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        

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