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BEBR 


FACULTY  WORKING 
PAPER  NO.  914. 


Systematic  Risk,  Leverage,  and  Default  Risk 
K.  C.  Chen 


College  of  Commerce  and  Business  Administration 
Bureau  of  Economic  and  Business  Research 
University  of  Illinois.  Uroana-Chamoaign 


BEBR 


FACULTY  WORKING  PAPER  NO.  914 
College  of  Commerce  and  Business  Administration 
University  of  Illinois  at  Urbana-Champaign 
November  1982 


Systematic  Risk,  Leverage,  and  Default  Risk 


K.  C.  Chen,  Assistant  Professor 
Department  of  Finance 


Abstract 
The  purpose  of  this  note  is  to  investigate  the  theoretical  rela- 
tionship between  the  systematic  risk  of  equity,  the  systematic  risk  of 
debt,  the  systematic  risk  of  the  unlevered  firm,  and  leverage  in  the 
presence  of  default  risk.  The  cash-flow  approach  is  adopted  in  con- 
trast to  the  literature.  The  analysis  demonstrates  that  a  truncation 
factor  (or  survival  probability)  exists  in  addition  to  Hamada  and 
Rubinstein's  traditional  formulation.  Hence,  the  result  derived  here 
is  more  general. 


SYSTEMATIC  RISK,  LEVERAGE,  AND  DEFAULT  RISK 

In  their  classical  paper,  Modigliani  and  Miller  (M&M)  [15,  16], 
based  upon  the  risk-class  assumption  and  the  arbitrage  argument,  have 
shown  the  famous  propositions  I  and  II.   By  integrating  M&M's  proposi- 
tion I  with  the  mean-variance,  Hamada  [9]  and  Rubinstein  [18]  have 
shown  that  the  systematic  risk  of  a  firm's  equity  should  be  positively 
correlated  with  the  firm's  leverage.   Numerous  subsequent  studies  have 
empirically  and  theoretically  investigated  the  effect  of  financial 
leverage  on  the  systematic  risk  of  equity  [3,  4,  7,  8,  10,  14],   How- 
ever, only  few  of  them  have  incorporated  default  risk  in  the  analysis 
[7,  8]. 

The  purpose  of  this  note  is  to  investigate  the  theoretical  rela- 
tionship between  the  systematic  risk  of  equity  and  leverage  in  the 
presence  of  default  risk  within  a  framework  of  one-period  Capital  Asset 
Pricing  Model  (CAPM)  under  uncertainty.   We  adopt  cash-flow  approach 
which  distinguishes  from  [2]  and  [8]  with  option-pricing  approach  and 
[7]  with  expected-rate-of-return  approach.   In  Section  I,  we  discuss 
the  pricing  of  market  values  of  different  claims,  which  is  borrowed 
from  Chen  [6].*  In  Section  II,  we  derive  the  relationship  between 
systematic  risks  and  leverage.   Section  III  presents  the  conclusion. 

I.   Market  Values  of  Different  Claims 
Sharpe  [19],  Lintner  [12],  and  Mossin  [17]  have  derived  the  fol- 
lowing two-parameter  equilibrium  valuation  raoidel,  referred  to  as  the 
Capital  Asset  Pricing  Model,  in  a  hypothetical  world  with  three  key 
assumptions. 


-2- 

where 

V  ■  the  equilibrium  value  of  asset  j; 

E(Y.)  =  the  expected  value  of  the  end-of-period  cash 
flows  to  the  owners  of  asset  j; 

R  •  1  +  R~»  where  R^  is  the  risk-free  interest  rate; 

Cov(Y.:,R  )  =  the  covariance  between  the  total  cash  flows  of 
asset  j  and  the  return  on  the  market  portfolio; 

A  =  the  market  price  of  risk. 

Equation  (1)  states  that  in  equilibrium  the  value  of  asset  j  is 

the  present  value  of  the  certainty-equivalent  (CEQ)  of  the  asset's 

random  cash  flow. 

A.  The  Market  Value  of  All- Equity  Firm 

Denote  X  as  the  firm's  operating  income  which  is  assumed  to  be 
jointly  normally  distributed  with  the  return  on  the  market  portfolio 
so  that 

X  =  N(X,  o£) 

—  2 

for  any  given  assessment  of  R     and  a    .      The  after-tax  cash  flows   to 

mm 

the  owners  of  the  unlevered  firm  are 


X(1-t)  if  X  >  0 

(2) 

if   X  <   0 


'"I     o 


-3- 


where   x   is   the  proportional  corporate  income   tax.      Therefore,    the  mar- 

2 

ket  value  of  the  unlevered  firm  is  given  by 

Vu  =  (1-t)[E0(X)  -  XCov0(X,Rm)](R)"1.  (3) 

where 


EQ(X)  = 


Xf(X)dX;  Covn(X,R  )  =  E{  [Xn-En(X) ] [R  -E(R) ]}, 

U    m        u  u      m    m 


"3 
the  partial  covariance  between  X  truncated   from  0   upward   and   R 

m 

B.      The  Market  Value   of   Debt 

For  simplicity,   we   assume   that   the   total   promised  payment   to  bond- 
holders is   tax  deductible.      Bondholders   receive  their  contractual 

claims  of   D  at  the  end  of   the  period  if  the   firm  is  solvent,    and  the 

4 
entire  value  of  the  firm  if   the  firm  is  declared  bankrupt.        Hence, 

the  total  cash  flows   to  bondholders  at   the  end  of   the  period  are 

"  D        if  X  >_  D 

\-\  .  (4) 

X       if   0   <   X  <   D 

0        if  X  <   0. 
The  market  value  of  debt   can  be  expressed  as 

VQ  =   {D[1-F(D)]   +    [EJj(X)    -   ACov°(X,Rm)]}    (R)"1  (5) 

|0  -      - 

where    F(D)    =    I         f(X)dX,    the  probability   that   the    firm  is   declared 

bankrupt. 


-4- 

C.  The  Market  Value  of  Equity 

At  the  end  of  the  period  shareholders  receive  the  after-tax 
residual  value  of  the  firm  if  it  remains  solvent,  and  they  receive 

■ 

nothing  if   the   firm  goes  bankrupt.      Therefore,    the  end-of-period  cash 
flows  to  shareholders  are 

(1-t)(X-D)  if  X  >  D 

h'\  -  (6> 

0  if  X  1  D. 

The  market  value  of  equity  can  be  expressed  as 

V£  =    (1-T){ED(X)    -  XCovD(X,Rm)   -   D[1-F(D)]}    (R)"1.  (7) 

D.  The  Market  Value  of  the  Levered  Firm 

The  market  value  of  the  levered  firm  is  simply  the  sum  of  market 
values  of  its  debt  and  equity.   Adding  V_  in  (5)  and  V_  in  (7),  we  get 

D  J- 

V  =   {(1-t)[E0(X)    -   XCovQ(X,Rm)]   +  t[E°(X)    -   ACov^X.R^  ] 

+  tD[1-F(D)]}    (R)"1  (8) 

Then,   substituting  Vu  in   (3)    and  VD  in   (5)    into    (8),    the  market  value 
of  the  levered   firm  can  be  expressed  as 

V  -   VE  +  VD  =   Vu  +   TV  (9) 

Equation  (9)  shows  that  the  market  value  of  the  levered  firm  is  the  sum 
of  the  market  value  of  the  unlevered  firm  plus  the  tax  subsidy  on  debt. 
This  result  is  consistent  with  M&M  [16]  within  a  framework  of  risky 
debt. 


-5- 

II.      Systematic   Risks   and   Leverage 
In  this  section  we  are  trying  to  develop   the   theoretical  linkage 
between  systematic  risks   of  equity,    debt,    and  the  unlevered  firm  and 
leverage. 

A.     The   Systematic  Risk  of  Equity,    the  Systematic  Risk  of   the  Unlevered 
Firm,    and  Leverage 

From  Sharpe-Lintner-Mossin's  CAPM,    the  systematic  risk  of  equity 

is   defined   as 


s        Cov(Y     Rm) 
g     , - (10) 

2    . 
where  a     is   the  variance  of  market  portfolio's   returns.      Substituting 

m  ™ 

(6)  into  this  definition  yields 


(l-T)Cov(X,Rm) 
8 ~ •  [l-F(D)]  (11) 

E  m 

By  the  same  token,   substituting    (2)    into   the  definition  of   the 
systematic   risk  of   the  unlevered  firm  yields 

Cov(Y    ,R  ) 

„u  u     m 


V     a2 
u     m 


(1-t)Cov(X,R  ) 
m 


u     m 


[l-F(O)]  (12) 


"  "    2 
By  solving  (11)  and  (12)  for  (l-T)Cov(X,Rm) /a  ,  we  can  derive  the 

relationship  between  the  systematic  risk  of  equity  and  the  systematic 

risk  of  the  unlevered  firm  as  follows 


-6- 

E 
This  result  shows  that  the  systematic  risk  of  the  levered  firm  is 
equal  to  the  systematic  risk  of  the  unlevered  firm  adjusted  for  the 
difference  in  equity  value  of  the  two  firms  and  the  survival  proba- 
bility (the  bracket  in  (13)).  When  no  bankruptcy  risk  (or  no  truncation 
of  the  firm's  operating  income  distribution)  is  assumed,  (13)  is  identical 
to  Hamada's  [9]  result.  Furthermore,  substituting  the  accounting  identity 
in  (9)  for  V  ,  we  derive  the  following  expression: 

This  result  states  that  the  systematic  risk  of  equity  is  equal  to 
the  systematic  risk  of  the  same  firm  without  leverage  times  one  plus 
the  leverage  ratio  (debt  to  equity)  multiplied  by  one  minus  tax  rate 
and  times  the  survival  probability.   If  no  bankruptcy  risk  is  assumed, 
the  second  bracket  in  (13)  disappears  and  (14)  is  identical  to  what 
Hamada  [9]  and  Rubinstein  [18]  have  shown.  Hence,  the  model  we  derive 
here  is  claimed  to  be  more  general. 

To  further  study  the  comparative  statics  of  (14),  we  use  numerical 
analysis  instead  of  mathematic  analysis  for  the  sake  of  simplicity. 
The  data  for  the  numerical  example  is  given  in  table  I. 


Insert  Table  I 


Figure  1  illustrates  the  effect  of  leverage  (debt  ratio)  on  the 
systematic  risk  of  equity.  As  is  expected  from  this  figure,  the  systematic 
risk  of  equity  increases  monotonically  with  leverage. 


-7- 


Insert  Figure  1 

Figure  2  shows  the  effect  of  the  face  value  of  debt  on  the  systematic 
risk  of  equity.   Not  surprisingly,  the  systematic  risk,  of  equity  is  a 
positive  function  of  the  face  value  of  debt. 


Insert  Figure  2 

In  figure  3,  the  impact  of  business  risk  on  the  systematic  risk  of 
equity  is  depicted,  where  business  risk  is  represented  by  standard  deviation 
of  the  firm's  operating  income.   To  isolate  the  leverage  effect,  we 
designate  the  face  value  of  debt  equal  to  150,000.  As  is  evident  from 
this  figure,  the  more  risky  the  firm  (the  higher  the  standard  deviation) , 
the  smaller  the  systematic  risk  of  equity  because  stockholders  profit 
from  the  probability  that  the  value  of  the  firm  will  exceed  the  face 
value  of  debt. 


Insert  Figure  3 


In  the  option  pricing  literature,  Black  and  Scholes  [2]  and  Galai 
and  Masulis  [8]  have  shown  that 

3     =  nsB 

VD      3VE     V 

=  (1  +  r>  t?  s  (15) 

E 


where 


-8- 

3VE    V 
nc  =  ~^T7  *  TT~ »  the   elasticity  of  equity  value  with  respect 

E  to  firm  value; 


V 
6  =  the  systematic  risk  of  the  firm, 


Comparing  (14)  with  (15)  without  corporate  tax,  both  equations  are 
quite  similar  in  the  sense  that  the  truncation  factor  in  (14)  and  the 
partial-derivative  factor  in  (15)  both  reflect  the  default  risk,  and 
the  relationship  between  the  systematic  risk  of  equity  and  leverage 
is  curvilinear.  However,  (15)  with  elasticity  concept  is  not  as  empir- 
ically appealing  as  (14)  with  truncated  distribution.  The  latter  can 
be  estimated  in  a  way  similar  to  Aharony,  Jones,  and  Swary  [1J,  who 
estimate  the  probability  of  bankruptcy  from  a  truncated  normal  distribu- 
tion. Omitting  the  truncation  factor  is  (14)  which  is  always  less  than 
one  with  positive  leverage  will  cause  the  systematic  risk  of  equity 
overestimated.  Hence,  the  implication  of  this  model  stands  along  the 
same  line  as  Hamada  [9,  p.  445]  in  the  sense  that  it  should  be  pos- 
sible to  improve  the  forecast  of  a  stock's  systematic  risk  by  fore- 
casting the  total  firm's  systematic  risk  first,  and  then  make  adjust-  . 
ments  on  leverage  and  survival  probability. 

B.  The  Systematic  Risk  of  Equity,  the  Systematic  Risk  of  the  Unlevered 
Firm,  and  the  Systematic  Risk  of  Debt 

Like  the  systematic  risk  of  equity,  the  systematic  risk  of  debt 

Q 

can  be  defined  by  the  CAPM  as 

jj    Cov(VV 


2 
D  ra 


Cov(X,R  ) 

m 


D  m 


f-   [F(D)  -  F(0)]  (16) 


-9- 

Given  the  result  shown  in  (16),  we  can  further  demonstrate  the 

linkage  between  the  systematic  risk  of  equity,  the  systematic  risk  of 

the  unlevered  firm,  and  the  systematic  risk  of  debt  (the  proof  is 

shown  in  the  Appendix) . 

V  V 

6S  =  BU[1+(1-t)  =£]  -  6D[(1-t)  =2]  (17) 

E  E 

This  result  is  consistent  with  Conine  [7]  in  the  presence  of 

risky  corporate  debt.   The  same  result  without  corporate  tax  can  be 

9 

derived  from  the  option  pricing  model.   The  model  says  that  the  system- 
atic risk  of  equity  is  a  weighted  average  of  the  systematic  risk  of 
the  unlevered  firm  and  the  systematic  risk  of  debt  (with  negative 
weight),  which  is  intuitively  appealing  in  a  portfolio  sense.   By  using 
the  same  numerical  example,  figure  2  illustrates  that  the  systematic 
risk  of  debt  not  only  is  a  positive  function  of  the  face  value  of  debt 
but  cannot  in  equilibrium  exceed  the  systematic  risk  of  the  unlevered 
firm.   Under  this  kind  of  formulation,  the  truncation  of  the  distribution 
due  to  default  risk  is  not  shown  in  (17),  instead  is  embedded  in  6 
and  leverage.   When  corporate  debt  is  riskfree,  0   is  equal  to  zero 
and  (17)  is  identical  to  the  traditional  formulation  shown  by  Hamada 
and  Rubinstein. 

III.  Conclusion 
The  purpose  of  this  note  is  to  investigate  the  theoretical  rela- 
tionship between  systematic  risks  and  leverage  in  the  presence  of  default 
risk.   The  cash-flow  approach  is  used  in  contrast  to  the  literature. 
The  analysis  shows  that  a  truncation  factor  (or  survival  probability) 
exists  in  addition  to  Hamada  [9]  and  Rubinstein's  [18]  traditional  for- 
mulation.  Hence,  the  result  derived  here  is  claimed  to  be  more  general. 


-10- 


Footnotes 


*University\of  Illinois  at  Urbana/Champaign. 

(1)  There  exists  a  fixed  risk-free  interest  rate  in  perfectly 
competitive  capital  markets;  (2)  all  investors  have  homogeneous  ex- 
pectations with  respect  to  the  probability  distributions  of  future 
yields  on  risky  assets;  and  (3)  all  investors  are  risk-averse  and  the 
expected  utility  of  terminal  wealth  maximizers. 

2 
Because  of  the  existence  of  default  risk,  the  assumption  of 

quadratic  utility  is  implicitly  required  to  apply  the  CAPM. 

3 

For  discussion  of  truncation,  refer  to  Lintner  [13]  and  Chen  [6]. 

4 
This  is  an  agency-cost  issue.  A  numerical  example  can  illus- 
trate why  bondholders  will  not  receive  the  entire  after-tax  value  of 
the  firm  if  the  firm  is  declared  bankrupt.  Let  D  =  $100,  t  =  50%, 
and  X  =  $99.   In  this  case,  the  firm  is  declared  bankrupt  because 
X  <  D.   If  bondholders  had  to  receive  the  after-tax  value  of  the 
firm,  $49.5,  they  would  be  better  off  by  making  side  payments  of  the 
one  dollar  short  to  stockholders  to  persuade  them  not  to  go  bankrupt. 
Hence,  bondholders  would  net  $99,  which  is  exactly  equal  to  X. 

We  assume  that  there  are  no  costs  of  voluntary  liquidation  or 
bankruptcy,  e.g.,  court  or  reorganization  costs. 

We  should  expect  to  get  identical  results  as  shown  by  Galai 
and  Masuli  [8]  in  an  option  pricing  context. 

No  corporate  and  personal  taxes  are  assumed. 

Q 

Sfnce  the  debt  by  nature  is  a  single-period  discount  bond,  the 
problem  of  duration  on  the  systematic  risk  of  debt  does  not  arise. 

9 

Black  and  Scholes  [2]  and  Galai  and  Masulis  [8]  have  shown  that 

6S  =  N(d  )rp  6V  (18) 

E 

6D  =  [1-N(d  )]  ^-   6V  (19) 

D 

where  N(»)  is  the  standardized  normal  cumulative  probability  density 

V 
function.   Then,  multiplying  (19)  by—,  adding  (18),  and  rearranging 

E 
yields 


-11- 


E  VE 

6va+^)-sDA. 

E  VE 


Q.E.D, 


-12- 


Ref erences 

1.  J.  Aharony,  C.  P.  Jones,  and  I.  Swary.   "An  Analysis  of  Risk  and 

Return  Characteristics  of  Corporate  Bankruptcy  Using  Capital 
Market  Data."  Journal  of  Finance  (September  1980). 

2.  F.  Black  and  M.  Scholes.   "The  Pricing  of  Options  and  Corporate 

Liabilities."  Journal  of  Political  Economy  (May /June  1973). 

3.  A.  J.  Boness,  A.  H.  Chen,  and  S„  Jatusipitak.   "Investigations  of 

Non-Stationarity  in  Prices."  Journal  of  Business  (October 
1974). 

4.  R.  Bowman.   "The  Theoretical  Relationship  Between  Systematic  Risk 

and  Financial  (Accounting)  Variables."  Journal  of  Finance 
(June  1979). 

5.  M.  J.  Brennan  and  E.  Schwartz,  "Corporate  Income  Taxes,  Valuation, 

and  the  Problem  of  Optimal  Capital  Structure."  Journal  of 
Business  (January  1978). 

6.  A.  H.  Chen.   "Recent  Developments  in  the  Cost  of  Debt  Capital." 

Journal  of  Finance  (June  1978). 

7.  T.  E.  Conine,  Jr.   "Corporate  Debt  and  Corporate  Taxes:  An 

Extension."  Journal  of  Finance  (September  1980). 

8.  D.  Galai  and  R-.-W.  Masulis.   "The  Option  Pricing  Model  and  the  Risk 

Factor  of  Stock."  Journal  of  Financial  Economics  (January/ 
March  1976). 

9.  R.  Hamada.   "The  Effect  of  the  Firm's  Capital  Structure  on  the 

Systematic  Risk  of  Common  Stocks."  Journal  of  Finance 
(May  1972). 

10.  N.  C.  Hill  and  B.  K.  Stone.   "Accounting  Betas,  Systematic 

Operating  Risk,  and  Financial  Leverage:  A  Risk-Composition 
Approach  to  the  Determinants  of  Systematic  Risk."  Journal 
of  Financial  and  Quantitative  Analysis  (September  1980). 

11.  E.  H.  Kim.   "A  Mean-Variance  Theory  of  Optimal  Corporate  Structure 

and  Corporate  Debt  Capacity."  Journal  of  Finance  (March  1978). 

12.  J.  Lintner.   "The  Valuation  of  Risk  Assets  and  the  Selection  of 

Risky  Investments  in  Stock  Portfolios  and  Capital  Budgets." 
Review  of  Economics  and  Statistics  (February  1965). 

13.   .   "Bankruptcy  Risk,  Market  Segmentation,  and 

Optimal  Capital  Structure,"  in  Risk  &  Return  in  Finance, 

I.  Friend  and  J.  Bicksler  (eds.),  Ballinger  Publishing  Co., 
1977. 


-13- 

14.  G.  Mandelker  and  S.  G.  Rhee.   "The  Impact  of  Financial  and 

Operating  Leverages  on  the  Systematic  Risk  of  Common  Stocks." 
(Forthcoming,  Journal  of  Finance). 

15.  F.  Modigliani  and  M.  Miller.   "The  Cost  of  Capital,  Corporate 

Finance,  and  the  Theory  of  Investment."  American  Economic 
Review  (June  1958). 

16.  and .   "Corporate  Income  Taxes  and 

the  Cost  of  Capital:  A  Correction."  American  Economic 
Review  (June  1963). 

17.  J.  Mossin.   "Equilibrium  in  a  Capital  Asset  Market."  Econometrica 

(October  1966). 

18.  M.    Rubinstein.      "A  Mean-Variance  Synthesis  of  Corporate  Finance 

Theory."     Journal  of   Finance   (March  1973). 

19.  W.    Sharpe.      "Capital   Asset  Price:      A  Theory  of  Market  Equilibrium 

Under   Conditions   of   Risk."     Journal   of   Finance    (September 
1964). 


M/E/286 


Table  I 
Parameters  for  Numerical  Example 


Corporate  tax  rate  (t)°  =0.5 

Expected  market  return  (R  )  =  0.15 

m 

One  plus  risk  free  rate  (R)  =1.05 

Standard  deviation  of  market  return  (a  )  =  0.2 

m 

Standard  deviation  of  operating  income  (a  )  =  80,000 

Mean  of  operating  income  (X)  =  120,000 

Correlation  coefficient  between  the  firm  and  the  market  =  0.5 


B 
E 
T 
R 


BU 

1.4 

- 

BS 

12 

- 

• 

• 

1C 

:' 

8 

'm 

;' 

c 

' 

b 

4 

,.-'" 

2 



c 

i               i               ! 

1                                      I.I 

i                    1                    1                    1 

0  0.  1         0.  2        0.  3         G.  4         0.  5         0.  6         0.  7         0.  8         0.9  I 

DEBT    RRTIQ 


Figure  1.  The  relationship  between  systematic  risks   and  debt  ratio 


B 
E 
T 
R 


BD 

14 

BU 

BS 

/ 
/ 

12 

/ 
/ 
/ 

10 

/ 
/ 

s 

/ 

8 

• 

6 

4 

._--"' 

^"  " 

2 

_ — -"" 

— — — — 

0 

I                i                l 

\ 

1            1            1            1            1 

25  50  75  100         125         150 

FACE    VALUE    OF    DEBT 


175  200  225 

THOUSANDS 


Figure   2.    The   relationship  between  systematic   risks    and  face  value   of  debt 


B 

E 
T 


10 


BS 


a 


i  i       '"     i      ~      i     ~        I  i  1^         i  i  i  I  I  i 

30         35         40         45         50         55         60         65         70         75         80         85         90 

STANDARD    DEVIATION  THOUSANDS 


Figure  3.   The  relationship  between  systematic  risk  and  standard  deviation 


Appendix 
Let's  restate  equation  (14)  as  follows 


RS  _  fiu  ,V  rl-F(D), 
S  "  6   X}  [1-F(0)J 


a  ,Vux    „u  ,V  rF(D)-F(0). 


-  8  M  - .8  (v~)  [  1-F(0)  1  (18) 

E         E 


We  also  can  derive  the  relationship  between  the  systematic  risk 

of  the  unlevered  firm  and  the  systematic  risk  of  debt  by  solving  (12) 

and  (16)  for  Cov(X,Rm)/a2. 

m 

V 

ftu  =  «D  t\-r\   -2.  r_l=£i2i_i  (19) 

&  -  3  (1-t)  v  LF(D)_F(o)J  K^> 

u 
Then,  substituting  (19)  into  the  second  term  of  (18)  yields 


E  E 

V  V 

=  eu[i+(i-x)  -2.]  -  sd[(i-t)  =2.] 

E  E 

Q.E.D. 


;CKMAN 

DERY  INC. 

JUN95 

_    _     •  N  MANCHES