Theory of Credit Markets - Queen's Universityqed.econ.queensu.ca/pub/faculty/lloyd-ellis/econ... ·...

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Theory of Credit Markets "... determining whether there is an important niche for micronance requires an understanding of how makets work and how the informal sector lls the gaps and of how and where markets and the informal sector come up short." de Aghion and Morduch (2005) Fall 2010 Huw Lloyd-Ellis () Econ239 Fall 2010 1 / 36

Transcript of Theory of Credit Markets - Queen's Universityqed.econ.queensu.ca/pub/faculty/lloyd-ellis/econ... ·...

Page 1: Theory of Credit Markets - Queen's Universityqed.econ.queensu.ca/pub/faculty/lloyd-ellis/econ... · Theory of Credit Markets "... determining whether there is an important niche for

Theory of Credit Markets

"... determining whether there is an important niche for micro�nancerequires an understanding of how makets work and how the informalsector �lls the gaps � and of how and where markets and the informal

sector come up short." de Aghion and Morduch (2005)

Fall 2010

Huw Lloyd-Ellis () Econ239 Fall 2010 1 / 36

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Overview

Credit market transactions typically involve asymmetric information

Nature of credit market institutions re�ects private�sector response tothis market failure

,! formal sector vs. informal sector responses di¤er

Signi�cant entry in informal sector, BUT

,! informational constraints

,! market segmentation

,! �local�market power

) monopolistic competition

Role for government, but must recognize informational disadvantages

,! need �institutional innovation�

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A Standard Debt Contract

Simple Example:

B = loan size

i = lending rate

R = project return (uncertain)

C = collateral

Default occurs ifC + R < (1+ i)B

Borrower has limited liability

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Two kinds of investment:

1. Safe : R =�L1 with prob. 12H1 with prob. 12

2. Risky: R =�L2 with prob. 12H2 with prob. 12

where12L1 +

12H1 =

12L2 +

12H2

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Borrower'sIncome

Lender'sIncome

R

R

C

(1+i)B

R*

­C

Figure: Payo¤s in a Standard Debt Contract

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Borrower'sIncome

Lender'sIncome

R

R

C

(1+i)B

­C

H1 H2L1L2

H1 H2L1L2

Figure: Mean-Preserving Spread

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A mean�preserving increase in risk makes the borrower better o¤ andthe lender worse o¤.

This con�ict leads to three types of agency problem:,! Adverse Selection

,! Ex ante moral hazard � excessive risk taking

,! Ex post moral hazard � enforcement problems

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Agency Problems

Reasons for absence of formal credit in rural / village economies

A result of limited liability (lack of collateral) and asymmetricinformationEven when titled land is available, formal banks may not accept it ascollateral

Two main rationales for government intervention

,! E¢ ciency: are productive investments not being undertaken?

,! Distribution: is access to credit equitable?

,! there need not be a trade-o¤ between equity and e¢ ciecy

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Adverse Selection

Example (Aghion and Morduch p. 37-43)

Investment requires B = $1, but borrowers have no wealth

A fraction q of borrowers are �safe�: earn certain output y

A fraction 1� q of borrowers are �risky�:

Output =�y with probability p0 with probability 1� p

Bank cannot distinguish borrower types

Equal expected return: py =y .

Gross cost to bank per $1 lent = k, where

y > k

Bank must choose a gross lending rate R = 1+ i

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How does the bank�s expected pro�t vary with R?Given R, the bank�s expected return per dollar lent is

[q + (1� q)p]R

De�ne the �break-even�value of R as Rb

[q + (1� q)p]Rb = k

Rb =k

q + (1� q)p

Rb = k +(1� q)(1� p)kq + (1� q)p

Rb = k + A

Bank�s expected pro�t:

π =

�[q + (1� q)p]R � k if R < y

pR � k if R > y

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0

π

Rk k+A y k/p y/p

Figure: Bank�s expected pro�t with high value of p

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0

π

Rk k+Ay k/p y/p

Figure: Bank�s expected pro�t with low value of p

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Implications

Raising interest rates need not always increase pro�ts

,! at high rates, less risky borrowers drop out of the market

If p falls, the bank may not be able to break even at a rate lowenough for safe borrowers

) banks will only serve risky borrowers

,! this is ine¢ cient (since y > k) and also inequitable

,! credit rationing

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Numerical Example

Loan size needed: $100

Lender�s cost of capital per $100 lent: k = $140

Borrower�s opportunity cost: $45

Fraction of safe borrowers: q = 0.5

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Scenario 1

Safe types revenue: y = $200Risk type�s revenue: y = $222 with probability p = 0.9

,! are these investments e¢ cient ?

Break-even gross interest rate satis�es:

[0.5+ 0.5� 0.9]Rb = 140

which implies

Rb =1400.95

= 147.4

,! bank must charge 47.4% interest to break even

Will the investments be undertaken?

,! Safe borrower�s pro�t = 200� 147.4 = 52.5 > 45,! Risky borrower�s pro�t = 0.9(222� 147.4) = 67.4 > 45

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Scenario 2

Safe types revenue: y = $200Risk type�s revenue: y = $267 with probability p = 0.75

,! are these investments e¢ cient ?

Break-even gross interest rate satis�es:

[0.5+ 0.5� 0.75]Rb = 140

which implies

Rb =1400.875

= 160

,! bank must charge 60% interest to break even

Will the investments be undertaken now?

,! Safe borrower�s pro�t = 200� 160 = 40 < 45,! Risky borrower�s pro�t = 0.75� (267� 160) = 80.3 > 45

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Since safe types drop out, the break�even interest rate satis�es:

0.75Rb = 140

which impliesRb = 186.7

Do the risky borrowers stay in the market ?

,! Risky borrower�s pro�t:

0.75� (267� 186.7) = 60.2 > 45

,! yes, but earn less than if safe types remained

Huw Lloyd-Ellis () Econ239 Fall 2010 17 / 36

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Ex ante Moral Hazard

Example

Suppose borrower can a¤ect riskiness via his/her e¤ort

Projects require $1 investment

Non-shirker generates output y for sure

Shirker generates

output =�y with prob. p0 with prob. 1� p

Cost of providing e¤ort = c

Gross interest rate = R

Cost of funds to to lender = k

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Lending contract

To ensure borrower supplies the required e¤ort, R must satisfy

(y � R)� c � p(y � R)

,! incentive compatibility constraint

) lender�s maximum achievable lending rate

R � R� = y � c1� p

if R� < k, this loan will not be made, even if y � k > c

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Enforcement Problems(Ex post moral hazard)

Example

Assume $1 is invested

Capital cost = k

Project is always successful and yields y

Borrower can provide collateral w

If borrower absconds, lender can obtain collateral with probabilitys < 1

,! re�ects property rights and enforcement through legal system

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Lending Contract

Borrower�s incentive constraint:

y + w � R � (1� s)(y + w) + sy

,! lender�s maximum feasible repayment:

R � R� = sw

If sw < k, this loan will not be made, even if y > k

) improving property rights and court systems may be critical toallowing the poor to access formal credit

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Formal Sector Responses to Agency problems

It is often prohibitively costly for formal sector banks to assessindividual riskiness of small rural loans

) better to engage in �indirect screening�

Two main forms:

(1) Credit Rationing

(2) Increased collateral requirements

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S(r)

D(r)

L

r

InterestRate

Loans

L( r )

ExcessDemand

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0

Borrower'sIncome

R

­C

­C'

L1L2

H1 H2

Figure: Role of Collateral

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Informal Sector Responses: �direct screening�

Limit lending to known borrowers and expend resources to screenapplicants/enforce loans

Example institutions

,! Geography and Kinship

,! Trade�credit interlinkages

,! Rotating Savings and Credit Associations (ROSCAs)

,! �Usufruct� loans

Screening costs + borrower loyalty + free entry

) monopolistic competition + market segmentation

Formal sector banks have cost disadvantage

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Why Trade�Credit Interlinkages ?

Hidden interest � in Islamic societies explicit charging of interest isoften forbidden / shunned

Reduced screening costs

Enforcement of repayment

Creation of E¢ cient Surplus

,! set combination of low rate of interest, r � < r , and low purchaseprice, p� < p, to induce e¢ cient production by borrower, where

p�

1+ r �=

p1+ r

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Loans, L

Value ofOutput

L*

A

B

pF(L)

Cost of Fundsfrom Formal Sector(1+r)L

EfficientSurplus

Figure: E¢ cient Situation

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Loans, L

Value ofOutput

L*

A

B

pF(L)

(1+r)L

Cost of Funds fromInformal Lenders(1+r*)L

C

D

E

L

Figure: Access Restricted to Informal Lenders

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Loans, L

Value ofOutput

L*

A

B

pF(L)

(1+r)L

(1+r)LC

D

E

L

F p*F(L)

CD=FG

G

(1+r*)L

Figure: Recreation of E¢ cient Surplus through Trade�Credit Interlinkage

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Direct Screening Costs as a Basis for MonopolisticCompetitionIrfan Aleem (1993) � Chambar, Pakistan

General procedure:

(1) applications from known borrowers

(2) make further enquiries ! 50% rejected

(3) small �test� loan ! takes a year to get main loan

) low default rate ! 2.7% (10% for new lenders)

) �relationship�speci�c capital�! borrower loyalty.

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Calculation of Lender�s Costs,! Screening costs per loan = value of 1.5 days + transportation costs

= 6.5% of loan size

,! 50% rejection rate ) 2� screening costs per loan

,! The cost of funds = 30%

,! Premium for bad debt

,! Interest on delinquent loans

) Marginal Cost (% of loans recovered):

MC = AVC = 48%

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Average Cost:,! MC + �xed cost of establishment / total lending:

Lending only : AC = 79%

Joint activity : AC = 68%

Interpretation,! Perfect Competition ? r = 79%, but MC = 48%.

,! Monopoly ? ) r = 79%, 68% < AC < 79%

,! monopolistic competition ?

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AC

MC

Loans

Interest

r

Figure: Assumed Cost Structure

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AC

MC

Loans

Interest

r

D(ri ; r)

MR

r*

Figure: Short-run before entry

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AC

MC

Loans

Interest

r

D(ri ; r)

MR

r*

Figure: Short�run Pro�ts

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AC

MC

Loans

Interest

rD(ri ; r)MR

r*

L*

Figure: Long�run Equilibrium after Entry

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