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Notes on Financial Frictions Under
Asymmetric Information and Costly
State Verification
Incorporating Financial Frictions into a
Business Cycle Model
• General idea:
– Standard model assumes borrowers and lenders
are the same people..no conflict of interest
– Financial friction models suppose borrowers and
lenders are different people, with conflicting
interests
– Financial frictions: features of the relationship
between borrowers and lenders adopted to
mitigate conflict of interest.
Discussion of Financial Frictions
• Simple model to illustrate the basic costly state
verification (csv) model.
– Original analysis of Townsend (1978), BernankeGertler.
• Integrating the csv model into a full-blown dsge
model.
– Follows the lead of Bernanke, Gertler and Gilchrist
(1999).
– Empirical analysis of Christiano, Motto and Rostagno
(2003,2009).
Simple Model
• There are entrepreneurs with all different levels of
wealth, N.
– Entrepreneur have different levels of wealth because they
experienced different idiosyncratic shocks in the past.
• For each value of N, there are many entrepreneurs.
• In what follows, we will consider the interaction
between entrepreneurs with a specific amount of N
with competitive banks.
• Later, will consider the whole population of
entrepreneurs, with every possible level of N.
Simple Model, cont’d
• Each entrepreneur has access to a project with
rate of return,
k
1 R 


• Here,  is a unit mean, idiosyncratic shock
experienced by the individual entrepreneur after
the project has been started,

0 dF1
• The shock, , is privately observed by the
entrepreneur.
• F is lognormal cumulative distribution function.
Banks, Households, Entrepreneurs

~ F

,  dF
1
0
entrepreneur
entrepreneur
entrepreneur
Households
Bank
entrepreneur
entrepreneur
Standard debt contract
• Entrepreneur receives a contract from a bank,
which specifies a rate of interest, Z, and a loan
amount, B.
– If entrepreneur cannot make the interest
payments, the bank pays a monitoring cost and
takes everything.
• Total assets acquired by the entrepreneur:
total assets net worth
loans



A  N  B
• Entrepreneur who experiences sufficiently bad
, loses everything.
luck, 
• Cutoff, 

gross rate of return experience by entrepreneur with ‘luck’, 

total assets

 A
1 R 



k
interest and principle owed by the entrepreneur

ZB

1 R k 

A ZB 




Z

1
Rk 
B
N
A
N
leverage L


• Cutoff higher with:
– higher leverage, L
– higher Z/1 R k 
Z

1
Rk 
1
A
N
A
N

Z
L1

1
Rk  L
• Cutoff, 

gross rate of return experience by entrepreneur with ‘luck’, 

total assets

 A
1 R 



k
interest and principle owed by the entrepreneur

ZB

1 R k 

A ZB 




Z

1
Rk 
B
N
A
N
leverage L


• Cutoff higher with:
– higher leverage, L
– higher Z/1 R k 
Z

1
Rk 
1
A
N
A
N

Z
L1

1
Rk  L
• Cutoff, 

gross rate of return experience by entrepreneur with ‘luck’, 

total assets

 A
1 R 



k
interest and principle owed by the entrepreneur

ZB

1 R k 

A ZB 




Z

1
Rk 
B
N
A
N
leverage L


• Cutoff higher with:
– higher leverage, L
– higher Z/1 R k 
Z

1
Rk 
1
A
N
A
N

Z
L1

1
Rk  L
• Cutoff, 

gross rate of return experience by entrepreneur with ‘luck’, 

total assets

 A
1 R 



k
interest and principle owed by the entrepreneur

ZB

1 R k 

A ZB 




Z

1
Rk 
B
N
A
N
leverage L


• Cutoff higher with:
– higher leverage, L
– higher Z/1 R k 
Z

1
Rk 
1
A
N
A
N

Z
L1

1
Rk  L
• Cutoff, 

gross rate of return experience by entrepreneur with ‘luck’, 

total assets

 A
1 R 



k
interest and principle owed by the entrepreneur

ZB

1 R k 

A ZB 




Z

1
Rk 
B
N
A
N
leverage L


• Cutoff higher with:
– higher leverage, L
– higher Z/1 R k 
Z

1
Rk 
1
A
N
A
N

Z
L1

1
Rk  L
• Cutoff, 

gross rate of return experience by entrepreneur with ‘luck’, 

total assets

 A
1 R 



k
interest and principle owed by the entrepreneur

ZB

1 R k 

A ZB 




Z

1
Rk 
B
N
A
N
leverage L


• Cutoff higher with:
– higher leverage, L
– higher Z/1 R k 
Z

1
Rk 
1
A
N
A
N

Z
L1

1
Rk  L
• Cutoff, 

gross rate of return experience by entrepreneur with ‘luck’, 

total assets

 A
1 R 



k
interest and principle owed by the entrepreneur

ZB

1 R k 

A ZB 




Z

1
Rk 
B
N
A
N
leverage L


• Cutoff higher with:
– higher leverage, L
– higher Z/1 R k 
Z

1
Rk 
1
A
N
A
N

Z
L1

1
Rk  L
• Expected return to entrepreneur, over
opportunity cost of funds:
Expected payoff for
entrepreneur



1
Rk 
AZB
dF



N
1
R

For lower values of
, entrepreneur
receives nothing
‘limited liability’.
opportunity cost of funds
• Rewriting entrepreneur’s rate of return:


1 R 
A ZB
dF





k
N
1 R


1 R k 

A 
1 R k 

A
dF





N
1 R

k
1

R
 

dF



1 R


Z
L1


 1
L
k
L
R 
L
Z

1
Rk 
• Entrepreneur’s return unbounded above
– Risk neutral entrepreneur would always want to
borrow an infinite amount (infinite leverage).
• Rewriting entrepreneur’s rate of return:


1 R 
A ZB
dF





k
N
1 R


1 R k 

A 
1 R k 

A
dF





N
1 R

k
1

R
 

dF



1 R


Z
L1


 1
L
k
L
R 
L
Z

1
Rk 
• Entrepreneur’s return unbounded above
– Risk neutral entrepreneur would always want to
borrow an infinite amount (infinite leverage).
• Rewriting entrepreneur’s rate of return:


1 R 
A ZB
dF





k
N
1 R


1 R k 

A 
1 R k 

A
dF





N
1 R

k
1

R
 

dF



1 R


Z
L1


 1
L
k
L
R 
L
Z

1
Rk 
• Entrepreneur’s return unbounded above
– Risk neutral entrepreneur would always want to
borrow an infinite amount (infinite leverage).
• Rewriting entrepreneur’s rate of return:


1 R 
A ZB
dF





k
N
1 R


1 R k 

A 
1 R k 

A
dF





N
1 R

k
1

R
 

dF



1 R


L
Z
L1
Z


 1
with L
LGets smaller

Rk  L
1
Rk 
Larger with L
• Entrepreneur’s return unbounded above
– Risk neutral entrepreneur would always want to
borrow an infinite amount (infinite leverage).
• Rewriting entrepreneur’s rate of return:


1 R 
A ZB
dF





k
N
1 R


1 R k 

A 
1 R k 

A
dF





N
1 R

k
1

R
 

dF



1 R


Z
L1


 1
L
k
L
R 
L
Z

1
Rk 
• Entrepreneur’s return unbounded above
– Risk neutral entrepreneur would always want to
borrow an infinite amount (infinite leverage).
Expected return for entrepreneur
Expected entrepreneurial return, over opportunity cost, N(1+R)
2.2
In our baseline parameterization,
risk spread = 1.0063,
return is monotonically increasing
in leverage
2
1.8
1.6
1.4
1.2
1
1.5
2
2.5
3
3.5
leverage
4
4.5
5
5.5
Expected return for entrepreneur
Expected entrepreneurial return, over opportunity cost, N(1+R)
2.2
High leverage always preferred
eventually linearly increasing
Z/(1+R) = 1.0063
Z/(1+R) = 1.5
2
1.8
1.6
1.4
Baseline parameters
1.2
More leverage locally
reduces expected return
with high risk spread.
1
1.5
2
2.5
3
3.5
leverage
4
4.5
5
5.5
• If given a fixed interest rate, entrepreneur with risk
neutral preferences would borrow an unbounded
amount.
• In equilibrium, bank can’t lend an infinite amount.
• This is why a loan contract must specify both an
interest rate, Z, and a loan amount, B.
• Need to represent preferences of entrepreneurs
over Z and B.
– Problem, possibility of local decrease in utility with
more leverage makes entrepreneur indifference curves
‘strange’ ..
Indifference Curves Over Z and B Problematic
Entrepreneurial indifference curves
1.4
1.35
Z/(1+R), risk spread
1.3
1.25
1.2
Utility increasing
1.15
1.1
1.05
1.5
2
2.5
3
3.5
Leverage (i.e., Assets/Net Worth)
Downward-sloping indifference curves reflect local fall in net worth with rise in leverage when
risk premium is high.
Solution to Technical Problem Posed
by Result in Previous Slide
• Think of the loan contract in terms of the loan

amount (or, leverage, (N+B)/N) and the cutoff, 



1
Rk 
AZB
dF



N
1
R


 

dF





1
Rk
1
R
L
Indifference curve, (leverage,  - bar) space
7
B
L  NA  N
N
6
 - bar
5
4
3
2
Utility increasing
1
2
3
4
leverage
5
6
7
Solution to Technical Problem Posed
by Result in Previous Slide
• Think of the loan contract in terms of the loan

amount (or, leverage, (N+B)/N) and the cutoff, 



1
Rk 
AZB
dF



N
1
R


 

dF





1
Rk
1
R
L
Indifference curve, (leverage,  - bar) space
7
B
L  NA  N
N
6
 - bar
5
4
3
2
Utility increasing
1
2
3
4
leverage
5
6
7
Banks
• Source of funds from households, at fixed
rate, R
• Bank borrows B units of currency, lends
proceeds to entrepreneurs.
• Provides entrepreneurs with standard debt
contract, (Z,B)
Banks, cont’d
• Monitoring cost for bankrupt entrepreneur
Bankruptcy cost parameter

with 
1 R k A
• Bank zero profit condition
fraction of entrepreneurs with 
 quantity paid by each entrepreneur with 

1 F





ZB
quantity recovered by bank from each bankrupt entrepreneur



1  dF
1 R k A

0
amount owed to households by bank

1 R
B

Banks, cont’d
• Monitoring cost for bankrupt entrepreneur
Bankruptcy cost parameter

with 
1 R k A
• Bank zero profit condition
fraction of entrepreneurs with 
 quantity paid by each entrepreneur with 

1 F





ZB
quantity recovered by bank from each bankrupt entrepreneur



1  dF
1 R k A

0
amount owed to households by bank

1 R
B

Banks, cont’d
• Simplifying zero profit condition:


1 F

ZB 
1  dF
1 R k A 1 RB



0
1 F


1





R k


A 
1  dF
1 R k A 1 RB

0


B/N
1

R
1 F



1  dF





0
1 R k A/N
 1 Rk L 1
L
1 R
, L

• Expressed naturally in terms of 
Banks, cont’d
• Simplifying zero profit condition:


1 F

ZB 
1  dF
1 R k A 1 RB



0
1 F


1





R k


A 
1  dF
1 R k A 1 RB

0


B/N
1

R
1 F



1  dF





0
1 R k A/N
 1 Rk L 1
L
1 R
, L

• Expressed naturally in terms of 
Bank zero profit condition, in (leverage,  - bar) space
14
•Free entry of banks ensures zero profits
12
 - bar
10
8
6
• zero profit curve represents a ‘menu’ of contracts, 

, L ,

that can be offered in equilibrium.
•Only the upward-sloped portion of the curve is relevant, because
entrepreneurs would never select a high value of 
if a lower
one was available at the same leverage.
4
2
1.2
1.4
1.6
1.8
2
2.2
leverage
2.4
2.6
2.8
3
Bank zero profit condition, in (leverage,  - bar) space
14
•Free entry of banks ensures zero profits
12
 - bar
10
8
6
• zero profit curve represents a ‘menu’ of contracts, 

, L ,

that can be offered in equilibrium.
•Only the upward-sloped portion of the curve is relevant, because
entrepreneurs would never select a high value of 
if a lower
one was available at the same leverage.
4
2
1.2
1.4
1.6
1.8
2
2.2
leverage
2.4
2.6
2.8
3
Bank zero profit condition, in (leverage,  - bar) space
14
•Free entry of banks ensures zero profits
12
 - bar
10
8
6
• zero profit curve represents a ‘menu’ of contracts, 

, L ,

that can be offered in equilibrium.
•Only the upward-sloped portion of the curve is relevant, because
entrepreneurs would never select a high value of 
if a lower
one was available at the same leverage.
4
2
1.2
1.4
1.6
1.8
2
2.2
leverage
2.4
2.6
2.8
3
Bank zero profit condition, in (leverage,  - bar) space
14
•Free entry of banks ensures zero profits
12
 - bar
10
8
6
• zero profit curve represents a ‘menu’ of contracts, 

, L ,

that can be offered in equilibrium.
•Only the upward-sloped portion of the curve is relevant, because
entrepreneurs would never select a high value of 
if a lower
one was available at the same leverage.
4
2
1.2
1.4
1.6
1.8
2
2.2
leverage
2.4
2.6
2.8
3
Some Notation and Results
• Let
expected value of , conditional on 



0 dF
G



,


1 F

G


,
 





• Results:


Leibniz’s rule
G 

 d  dF
 

d
0

F 








F 


1 F


1 F
G






Moving Towards Equilibrium Contract
• Entrepreneurial utility:

k
1

R
dF

L



1 R
k
1

R

1 G

1 F

L







1 R
share of entrepreneur return going to entrepreneur

1 




1 R k L
1 R
Moving Towards Equilibrium Contract, cn’t
• Bank profits:
share of entrepreneurial profits (net of monitoring costs) given to bank


1 F



1  dF





0
 1 Rk L 1
L
1 R



G
 1 Rk L 1


L
1 R
L
k
R
1  1
1
R
1




G



Equilibrium Contract
• Entrepreneur selects the contract is optimal,
given the available menu of contracts.
• The solution to the entrepreneur problem is
that solves:
the 
profits, per unit of leverage, earned by entrepreneur, given 


log
dF
1 R



1 R
k
higer 
drives share of profits to entrepreneur down (bad!)

log
1 





leverage offered by bank, conditional on 

1
1
Rk
1
R
1




G



higher 
drives leverage up (good!)

k
k
log 1 R log 1  1 R 



G



1 R
1 R
Equilibrium Contracting Problem Not Globally Concave, But Has Unique
Solution Characterized by First Order Condition
entrepreneurial utility as a function of  - bar only
1.0138
1.0136
utility
1.0134
1.0132
1.013
Close up of the objective, in neighborhood of optimum.
Locally concave.
1.0128
0.02
0.04
0.06
0.08
 - bar
0.1
0.12
0.14
0.16
1
0.9
0.8
utility
0.7
0.6
0.5
Non-concave part
0.4
0.3
0.2
0.1
1
2
3
4
5
 - bar
6
7
8
9
Equilibrium Contracting Problem Not Globally Concave, But Has Unique
Solution Characterized by First Order Condition
entrepreneurial utility as a function of  - bar only
1.0138
1.0136
utility
1.0134
1.0132
1.013
Close up of the objective, in neighborhood of optimum
1.0128
0.02
0.04
0.06
0.08
 - bar
0.1
0.12
0.14
0.16
1
0.9
0.8
utility
0.7
0.6
0.5
Non-concave part
0.4
0.3
0.2
0.1
1
2
3
4
5
 - bar
6
7
8
9
Computing the Equilibrium Contract
• Solve first order optimality condition uniquely for the
cutoff, 
:

elasticity of leverage w.r.t. 

elasticity of entrepreneur’s expected return w.r.t. 

1 F



1 




1
Rk
1
R
1
1 F

F 





1
Rk
 1R




G



• Given the cutoff, solve for leverage:
L
1
k
R



11


G



1
R
• Given leverage and cutoff, solve for risk spread:
risk spread 
Z
1
R
k
R
L
 1


1
R
L1
Result
• Leverage, L, and entrepreneurial rate of
interest, Z, not a function of net worth, N.
• Quantity of loans proportional to net worth:
L  A  N B 1 B
N
N
N
B 
L 1
N
• To compute L, Z/(1+R), must make
assumptions about F and parameters.
1 R k , , F
1 R
The Distribution, F
Log normal density function, E = 1,  = 0.82155
0.9
0.8
0.7
density
0.6
0.5
0.4
0.3
0.2
0.1
0.5
1
1.5
2
2.5
3

3.5
4
4.5
5
5.5
Results for log-normal
• Need:


G

  dF
, F

0
Can get these from the pdf and the cdf of the standard normal
distribution.
These are available in most computational software,
like MATLAB.
Also, they have simple analytic representations.
Results for log-normal
• Need:


G

  dF
, F

0
change of variables, xlog 



0 dF
E1 requires Ex12 2x



prob v 
1
 e x e
x 2
log 

1
 e x e
x 2
combine powers of e and rearrange
change of variables,
log 

x1 2
2 x
v 
x
x
log 

1
 e
x 2

log

1 2

2 x
x
1

x 2
log

12 2x

2
 x1 2
2 x
22
x
x
dx
dx
2
 x1 2
x
2
22
x
x

xEx 2
22
x
exp
dx
v 2
2
x dv
cdf for standard normal
Results for log-normal
• Need:


G

  dF
, F

0
change of variables, xlog 



0 dF
E1 requires Ex12 2x



prob v 
1
 e x e
x 2
log 

1
 e x e
x 2
combine powers of e and rearrange
change of variables,
log 

x1 2
2 x
v 
x
x
log 

1
 e
x 2

log

1 2

2 x
x
1

x 2
log

12 2x

2
 x1 2
2 x
22
x
x
dx
dx
2
 x1 2
x
2
22
x
x

xEx 2
22
x
exp
dx
v 2
2
x dv
cdf for standard normal
Results for log-normal
• Need:


G

  dF
, F

0
change of variables, xlog 



0 dF
E1 requires Ex12 2x



prob v 
1
 e x e
x 2
log 

1
 e x e
x 2
combine powers of e and rearrange
change of variables,
log 

x1 2
2 x
v 
x
x
log 

1
 e
x 2

log

1 2

2 x
x
1

x 2
log

12 2x

2
 x1 2
2 x
22
x
x
dx
dx
2
 x1 2
x
2
22
x
x

xEx 2
22
x
exp
dx
v 2
2
x dv
cdf for standard normal
Results for log-normal
• Need:


G

  dF
, F

0
change of variables, xlog 



0 dF
E1 requires Ex12 2x



prob v 
1
 e x e
x 2
log 

1
 e x e
x 2
combine powers of e and rearrange
change of variables,
log 

x1 2
2 x
v 
x
x
log 

1
 e
x 2

log

1 2

2 x
x
1

x 2
log

12 2x

2
 x1 2
2 x
22
x
x
dx
dx
2
 x1 2
x
2
22
x
x

xEx 2
22
x
exp
dx
v 2
2
x dv
cdf for standard normal
Results for log-normal
• Need:


G

  dF
, F

0
change of variables, xlog 



0 dF
E1 requires Ex12 2x



prob v 
1
 e x e
x 2
log 

1
 e x e
x 2
combine powers of e and rearrange
change of variables,
log 

x1 2
2 x
v 
x
x
log 

1
 e
x 2

log

1 2

2 x
x
1

x 2
log

12 2x

2
 x1 2
2 x
22
x
x
dx
dx
2
 x1 2
x
2
22
x
x

xEx 2
22
x
exp
dx
v 2
2
x dv
cdf for standard normal
Results for log-normal, cnt’d
• The log-normal cumulative density:


log 

1
F

  dF

e


0
x 2 
2
 x1 2
x
2
22
x
dx
• Differentiating (using Leibniz’s rule):

log

1 2

2


1
1 exp
F
;  


 2

2
2
 1 Standard Normal pdf



log

12 2


‘Test’ of the Model
• Obtain the following for each firm from a
micro dataset:
probability of default (from rating agency)
F



firm leverage
,

L
interest rate
,

Z
• Using definition of F, risk spread, first order
condition associated with optimal contract
and zero profit condition of banks, can
compute:
ex ante mean return on firm investment project

Rk
ex ante idiosyncratic uncertainty
,


cutoff productivity
monitoring costs
,


,



• Test the model: do the results look sensible?
• Levin, Natalucci, Zakrajsek, ‘The Magnitude
and Cyclical Behavior of Financial Market
Frictions’, Finance and Economics Discussion
Series, Federal Reserve Board, 2004-70.
A jump in spreads occurred here, interpreted by
the model as a jump (in part) of bankruptcy costs.
Changes in idiosyncratic volatility not very important
k
1

R
400
1
1 R
High values consistent with high
bankruptcy costs.
k
400 1 R 1
1 R
Effect of Increase in Risk, 
• Keep

0 dF1
• But, double standard deviation of Normal
underlying F.
Impact on lognormal cdf of doubling standard deviation
0.9
0.8
0.7
Doubled standard deviation
density
0.6
0.5
0.4
0.3
Increasing standard deviation raises
density in the tails.
0.2
0.1
0.5
1
1.5
2
2.5
3

3.5
4
4.5
5
5.5
Effect of a 5% jump in 
9
Risk spread = 400
8
Z 1 , Leverage = (B+N)/N
1 R
risk spread (APR)
7
Entrepreneur
Indifference curve
6
Risk spread= 2.67
Leverage = 1.12
5
4
3
Risk spread=2.52
Leverage = 1.13
2
Zero profit curve
1
1.08
1.1
1.12
1.14
leverage, qK/N
1.16
1.18
Issues With the Model
• Strictly speaking, applies only to ‘mom and pop grocery
stores’: entities run by entrepreneurs who are bank
dependent for outside finance.
– Not clear how to apply this to actual firms with access to equity
markets.
• Assume no long-run connections with banks.
• Entrepreneurial returns independent of scale.
• Overly simple representation of entrepreneurial utility
function.
• Ignores alternative sources of risk spread (risk aversion,
liquidity)
• Seems not to allow for bankruptcies in banks.
Incorporating BGG Financial Friction
into Neoclassical Model
Model with Financial Frictions
Firms
L
Labor
market
K
C
I
Capital
Producers
household
Entrepreneurs
Model with Financial Frictions
Firms
Labor
market
Capital
Producers
K’
Entrepreneurs
Loans
household
banks
Equations of the Model
• Aggregate resource constraint:
bought by households

ct
monitoring costs of banks
bought by capital producers

It



t
  dF
1 R kt k t y t
0
• Households:

 t uct , ct b t1 1 R t1 b t wt l t
t0
• Capital producers:
u c,t  u c,t1 
1 R t 
, l t 1
k t1 
1 
k t I t
Equations, ctn’d
• Entrepreneurs:
– First order condition associated with optimization
problem.
– Zero profit condition of banks.
– Law of motion of aggregate net worth.
N t1  
time t earnings of entrepreneurs net of interest on previous period’s bank loans T t 

1 
Tt,
~fraction of entrepreneurs that survive, 1 ~fraction of entrepreneurs born
T t ~small transfer made to all entrepreneurs
Conclusion
• We’ve reviewed one interesting model of
financial frictions.
• Needs a lot more work!
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