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Results  for  Momentum  Strategies  Adjusted  for  Transaction  Costs

9.   Empirical  Results

9.3   Results  for  Momentum  Strategies  Adjusted  for  Transaction  Costs

reliance  on  single  assets  and  lack  of  diversification  is  considered  an  unattractive  characteristic  in   any  investment  strategy.    

Besides  from  the  substantial  increase  in  volatility,  the  market-­‐capitalization   weighting  scheme  also  adds  what  some  might  see  as  unnecessary  transaction  costs.  The  entire   point  of  adding  additional  stocks  to  a  portfolio  is  basically  lost,  if  they  don’t  have  any  noteworthy   influence  on  the  portfolio’s  expected  return  and  risk.  For  all  the  strategies  in  this  section,  there  are   several  months  in  which  the  portfolio  composition  is  such  that  5  or  more  stocks  only  have  a  

portfolio  weight  of  1%  or  less;  one  example  of  this  is  the  12/9-­‐strategy,  where  35%  of  the  monthly   portfolios  bought  have  5  or  more  stocks  with  a  weight  of  1%  or  less.  Consequently,  buying  stocks   with  insignificant  weights,  and  thereby,  insignificant  impact  on  the  portfolio  itself,  will  only   introduce  a  somewhat  unnecessary  transaction  cost  to  the  investor.  Furthermore,  these  

transaction  costs  are  an  even  bigger  issue  for  smaller  investors,  because  many  brokers  require  a   minimum  transaction  fee  for  smaller  investments.  Thus,  applying  these  strategies  on  a  small  scale   will  make  the  transaction  costs  relatively  more  expensive  compared  to  larger  investments,  and   make  the  strategies  less  profitable  in  the  end.  

Given  these  considerations  about  the  market-­‐capitalization  weighting  scheme,  we   believe  that  applying  an  equal  weighting  scheme  to  the  momentum  strategies  is  the  better   alternative,  since  this  eliminates  the  issues  presented  above.  Therefore,  the  rest  of  this  analysis   will  focus  on  the  strategies  employing  equal  weights  to  the  assets  traded  each  month.  

Furthermore,  using  equally  weighted  portfolios  for  the  rest  of  the  analysis  also  makes  our  findings   easier  to  compare  to  previous  studies  that  predominantly  employed  an  equal  weighting  scheme.    

adjusts  the  results  from  the  winner  and  zero-­‐cost  strategies  employing  equal  portfolio  weights  in   section  9.1,  and  investigates  whether  these  strategies  still  produce  significant  returns.    

Table  9.5:  Returns  on  winner,  loser  and  zero-­‐cost  portfolios  (adjusted  for  transaction  costs)  

The  table  shows  the  average  monthly  return  for  the  winner  portfolios  for  all  of  the  16  distinct  momentum  strategies   adjusted  for  transaction  costs,  while  the  numbers  in  parentheses  are  the  standard  deviations.  The  table  also  includes   indicators  from  3  different  tests  all  testing  whether  the  average  monthly  return  on  the  winner  portfolios  are  

significantly  larger  than  the  average  monthly  return  on  the  benchmark  for  the  same  time  periods.  Test  1  (T1):  

Student’s  t-­‐test,  Test  2  (T2):  Welch’s  t-­‐test,  Test  3  (T3):  Adjusted  Welch’s  t-­‐test.  

*  Significant  at  the  0.10  significance  level.      

**  Significant  at  the  0.05  significance  level.    

***  Significant  at  the  0.01  significance  level.  

 

The  strategies  and  their  returns  in  this  section  have  all  been  adjusted  to  include  the   transaction  costs  induced  in  both  the  start  and  the  end  of  each  holding  period,  as  outlined  in  the   methodology  section.  The  strategy  returns  are  then  compared  to  a  ‘buy  and  hold’  strategy  on  the   benchmark,  just  like  in  the  previous  sections,  to  see  if  the  average  monthly  return  is  significantly   bigger  than  that  of  the  benchmark.  It  should  be  noted  however,  that  the  returns  on  the  

benchmark  are  not  adjusted  for  transaction  cost,  simply  because  these  are  assumed  to  be   insignificant,  given  that  the  transaction  costs  for  a  buy  and  hold  strategy  would  only  occur  twice,  

3 6 9 12

3 Winner 1,21% *** 1,20% *** 1,25% *** 1,35% ***

(0,061) (0,056) (0,058) (0,054)

Zero-­‐C 0,92% ** 0,96% *** 1,06% *** 1,08% ***

(0,061) (0,05) (0,043) (0,039)

6 Winner 1,42% *** 1,58% *** 1,58% *** 1,51% ***

(0,06) (0,061) (0,058) (0,057)

Zero-­‐C 1,12% ** 1,35% *** 1,37% *** 1,20% ***

(0,071) (0,067) (0,059) (0,052)

9 Winner 1,69% *** 1,71% *** 1,68% *** 1,75% ***

(0,056) (0,057) (0,057) (0,057)

Zero-­‐C 1,51% *** 1,54% *** 1,47% *** 1,24% ***

(0,077) (0,071) (0,066) (0,061)

12 Winner 1,81% *** 1,74% *** 1,89% *** 1,77% ***

(0,06) (0,059) (0,059) (0,058)

Zero-­‐C 1,47% *** 1,42% *** 1,37% *** 1,20% ***

(0,078) (0,073) (0,07) (0,066)

Holding  (K)

Formation  (J)

once  when  the  index  portfolio  is  bought  and  then  again  when  it  is  sold  at  the  end  of  the  analysis   period.  While  this  lack  of  adjustment  is  not  in  line  with  reality,  it  should  not  decrease  the  validity   of  the  results  in  any  significant  way  since  only  2  out  of  170+  observations  are  affected  slightly.  

As  expected  the  introduction  of  transaction  costs  decrease  the  average  monthly   return  on  the  momentum  strategies  substantially,  as  evident  in  9.5.  On  average,  the  monthly   return  for  all  the  winner  strategies  is  1.57%,  which  is  a  decrease  compared  to  the  1.66%  in  section   9.1,  while  the  standard  deviation  doesn’t  change  much.  The  change  in  return  is  most  significant  in   the  strategies  with  a  shorter  holding  period,  which  is  at  least  partly  explained  by  the  increasing   number  of  transactions  that  follow  from  using  a  strategy  with  shorter  holding  periods.  But  while   the  average  monthly  return  decreases,  the  winner  and  zero-­‐cost  portfolios  still  manage  to  produce   significantly  positive  results.  

Furthermore,  unlike  in  section  9.1,  not  all  winner  strategies  significantly  outperform   the  benchmark  when  transaction  costs  are  accounted  for,  as  evident  in  table  9.6.  Three  strategies   with  a  3-­‐month  formation  period  fail  to  significantly  outperform  the  benchmark.  The  relatively  less   impressive  outcomes  are  also  reflected  in  the  results  from  the  student’s-­‐  and  Welch’s  t-­‐tests  when   comparing  with  table  9.2.  However,  the  adjusted  Welch’s  t-­‐test,  shows  that  all  winner  strategies   with  a  formation  period  of  6  months  or  longer  produces  an  average  monthly  return  that  is   significantly  larger  than  the  benchmark.  Lastly,  because  of  the  transaction  costs,  the  best   performing  strategy  is  no  longer  the  12/3,  but  the  12/9-­‐strategy.  

So  far  we  have  seen  that  a  large  part  of  the  winner  strategies  proved  to  be  profitable   and  outperformed  the  benchmark  even  after  accounting  for  transaction  costs,  but  the  same   cannot  be  said  about  the  zero-­‐cost  strategies  in  table  9.6.  None  of  the  16  distinct  zero-­‐cost  

strategies  significantly  outperform  the  benchmark.  Especially  the  zero-­‐cost  strategies  with  a  short   formation  period  perform  poorly  when  compared  to  a  simple  ‘buy  and  hold’  strategy  holding  the   benchmark.  On  average,  the  monthly  return  of  the  16  zero-­‐cost  strategies  is  1.27%  compared  to   1.45%  in  section  9.1,  while  the  average  standard  deviation  stays  close  to  the  same.  The  9/3-­‐

strategy  is  once  again  among  the  best  performing  zero-­‐cost  strategies,  like  in  section  9.1,  with  an   average  monthly  return  of  1.51%,  just  about  0.4  %-­‐point  less  than  the  best  strategies  based  solely   on  winner  portfolios.  Since  the  zero-­‐cost  strategies  do  not  significantly  outperform  a  simple  ‘buy  

and  hold’  strategy,  it  makes  them  somewhat  less  desirable,  given  that  an  investor  could  get  an   average  monthly  return  close  to  the  zero-­‐cost  portfolios,  but  with  much  less  transaction  costs,   both  time-­‐  and  moneywise.  Nonetheless,  the  zero-­‐cost  strategies  still  pose  as  an  interesting   investment  strategy.  Although  they  fail  to  significantly  outperform  the  benchmark,  they  still   produce  significant  positive  returns,  while  only  requiring  relatively  little  initial  financing.    

Table  9.6:  Excess  return  on  winner  and  zero-­‐cost  portfolios  (adjusted  for  transaction  costs)  

The  table  shows  the  average  monthly  excess  return  for  the  winner  and  zero-­‐cost  portfolios  for  all  of  the  16  distinct   momentum  strategies,  while  the  numbers  in  parentheses  are  the  standard  deviations.  Furthermore,  the  table  includes   indicators  from  3  different  tests,  all  testing  whether  the  average  monthly  return  on  the  portfolios  are  significantly   larger  than  the  average  monthly  return  on  the  benchmark.  Test  1  (T1):  Student’s  t-­‐test,  Test  2  (T2):  Welch’s  t-­‐test,   Test  3  (T3):  Adjusted  Welch’s  t-­‐test.  

*  Significant  at  the  0.10  significance  level.      

**  Significant  at  the  0.05  significance  level.    

***  Significant  at  the  0.01  significance  level.  

 

3 (T1) (T2) (T3) 6 (T1) (T2) (T3) 9 (T1) (T2) (T3) 12 (T1) (T2) (T3)

3 Winner 0,35% 0,34% 0,31% 0,39% *

(0,061) (0,056) (0,058) (0,054)

Zero-­‐C 0,06% 0,10% 0,11% 0,11%

(0,061) (0,05) (0,043) (0,039)

6 Winner 0,62% * ** 0,67% * ** 0,60% * ** 0,56% * **

(0,06) (0,061) (0,058) (0,057)

Zero-­‐C 0,32% 0,43% 0,39% 0,25%

(0,071) (0,067) (0,059) (0,052)

9 Winner 0,83% ** * *** 0,76% ** * *** 0,70% * *** 0,66% * **

(0,056) (0,057) (0,057) (0,057)

Zero-­‐C 0,66% 0,59% 0,49% 0,16%

(0,077) (0,071) (0,066) (0,061)

12 Winner 0,93% ** * *** 0,80% ** * *** 0,78% ** * *** 0,70% * **

(0,06) (0,059) (0,059) (0,058)

Zero-­‐C 0,59% 0,47% 0,26% 0,14%

(0,078) (0,073) (0,07) (0,066)

Holding  (K)

Formation  (J)