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Summary

Social Finance summary and results

Authors
Affiliations
Hunter College + The Graduate Center, CUNY
New York University
Financial Access Initiative (FAI)

Abstract

A summary of main results of the paper.

Framing

Model

If lump sum II is invested the project can be undertaken. The project will produce XsX_s if it succeeds and XfX_f if it fails.

The probability of success depends on borrower diligence. If the borrower is diligent, the project succeeds with probability pp. If the borrower is non-diligent, the project succeeds with probability q<pq<p, but the borrower captures a private benefit B(0)B(0).

A contract divides expected returns (Xf,Xs)(X_f, X_s) between returns to the borrower (sf,ss)(s_f, s_s) and returns to the lender (Xf−sf,Xs−ss)(X_f-s_f, X_s-s_s).

Incentive Compatibility (IC)

p⋅ss+(1−p)⋅sf≥p⋅ss+(1−p)⋅sf+B(0)p \cdot s_s + (1-p) \cdot s_f \ge p \cdot s_s + (1-p) \cdot s_f + B(0)

Re-arranging:

ss≥sf+B(0)p−qs_s \ge s_f + \frac{B(0)}{p-q}

Limited liability (LL)

sf≥−As_f \ge -A

Where AA is available pledgeable assets. With IC and LL both binding, this implies that in expectation the borrower must earn a minimum economic rent of:

E(s∣p)=−A+pB(0)p−qE(s|p)= -A + \frac{pB(0)}{p-q}

When the borrower is diligent the project succeeds with probability pp and generates expected returns E(X∣p)E(X|p) but these returns must cover:

Credit rationing (exclusion) occurs when

E(S∣p)<E(x∣p)−γI−fE(S|p) < E(x|p) - \gamma I - f

Pledgeable assets or *collateral AA provides a way for the borrower to commit to reduce the size of the economic rent that borrower must capture for incentives.

Participation constraints

If we assume competition amongst lenders, banks will participate if they can break even (zero profit participation constraint).

Depending on whether the project fails or succeeds, the lender captures:

Xf−γI−f+AXs−γI−f+A−B(0)p−q\begin{aligned} X_f& - \gamma I - f + A \\ X_s& - \gamma I - f + A - \frac{B(0)}{p-q} \end{aligned}

To participate the bank must expect to cover costs and earn at least zero profit:

E[X∣p]−γI−f+A−pB(0)p−q≥0E[X|p] - \gamma I - f + A - \frac{pB(0)}{p-q} \ge 0

Minimum collateral requirement (zero monitoring)

We can derive the minimum collateral requirement as the level of AA that makes the bank just indifferent between participating or not:

A‾(0)=p⋅B(0)p−q−[pX−γI−F]\underline A(0) = \frac{p \cdot B(0)}{p-q} - \left[ {pX - \gamma I - F} \right]

Imperfect collateral (an aside)

We could think of collateral as own money that borrower is willing to put up. Hence the borrower puts up AA in funds and the bank the difference I−AI-A. But we’ll stick to the interpretation of AA as a pledgeable asset that is (in effect) only seized in the event of default (e.g. equipment or property).

As an aside, it’s possible that the bank can only seize τA\tau A of the value of the assets AA in the event of default, but the borrower suffers loss AA. This would be the case, for example, if the item seized is more valuable to the borrower than to the bank (e.g. a street cart), for example if there are transaction costs to the bank in seizing and re-selling the item.

The ICIC constraint is as before, but the minimum collateral requirement is now:

A‾τ(0)=1τ⋅A‾(0)\underline A^{\tau}(0) =\frac{1}{\tau} \cdot \underline A(0)

Though not analyzed below, this suggests another potential interesting avenue for how social investor subsidy might have multiplicative effects, because while each dollar of collateral from the borrower is worth only τA\tau A to the lender, each dollar of subsidy/guarantee is valued dollar for dollar.

Collateral and Monitoring

Suppose active monitoring mm on the part of the lender (or, shortly, an intermediary) can reduce the scope for moral hazard by directly reducing the borrower’s private benefit B(m)B(m). We assume a very simple linear form to this monitoring:

B(m)=B(0)−α⋅mB(m) = B(0) - \alpha \cdot m

We will assume monitoring can only be done by local lenders, who know the neighborhood. Their cost of funds is potentially higher, because local intermediary capital may be scarce. We assume that if the local intermediary invests II the cost of funds is γI\gamma I where β≥γ\beta \ge \gamma. We take γ\gamma as given now, but later determine it as an equilibrium quantity.

The minimum collateral requirement for the local monitoring (equity only) lender:

A‾e(m)=p⋅B(m)p−q−[pX−γI−F]+m\underline A^e(m) = \frac{p \cdot B(m)}{p-q} - \left[ {pX - \gamma I - F} \right] + m

Monitoring adds to the costs that must be covered out of expected returns, so it is only worthwhile in expanding access if it lowerş the limited liability rent faster than it expands costs.

This will be the case if it lowers the minimum collateral requirement, which happens when dA‾(m)dm<0\frac{d \underline A(m)}{dm}<0 or α>p−qp\alpha \gt \frac{p-q}{p}.

We also must make sure that

E[X∣p]−βI−f−m>0E[X|p] - \beta I - f - m \gt 0

Which determines a maximum feasible level of monitoring.

Let’s assume this is the case. In the diagram below p=0.97p = 0.97, q=0.82q = 0.82 and α=0.5\alpha = 0.5.

In the figure below A‾e(m)\underline A^e(m) is the minimum collateral requirement for the local monitoring lender.

Figure 1:Monitoring expands access.

Intermediated lending

<Figure size 750x550 with 1 Axes>

Figure 2:Monitoring expands access.

<Figure size 750x550 with 1 Axes>

Monitoring expands access.

<Figure size 600x400 with 1 Axes>

Monitoring expands access.

References
  1. Holmstrom, B., & Tirole, J. (1997). Financial Intermediation, Loanable Funds, and the Real Sector. Quarterly Journal of Economics, 112(3), 663–691.
  2. Conning, J. H. (1999). Outreach, Sustainability and Leverage in Monitored and Peer-Monitored Lending. Journal of Development Economics, 60(1), 51–77.
  3. Tirole, J. (2006). The Theory of Corporate Finance. Princeton University Press.