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Optimum pricing of mutual guarantees for credit

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Abstract

The main finding of this paper is that under financial market impediments and asymmetric information, a mutually guaranteed and correctly schemed and priced insurance credit contract should have an abnormal actuarial profit. Such a contract improves welfare by simultaneously eliminating underinvestment (UI) and overinvestment (OI) and by reducing the probability of the insurer’s ruin. This solution is relevant for mutual credit insurance agencies and international or governmental agencies interested in increasing the value creation of small and medium enterprises that suffer from limited access to equity and debt markets.

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Notes

  1. See a review by De Gobbi (2002) and Independent Expert Group reports (2003, 2005) and some recent empirical findings by Columba et al. (2010) and Bartoli et al. (2010).

  2. Methods for measuring the effectiveness of guarantees are given by Riding et al. (2007). The effectiveness of guarantees in India are discussed and analyzed by Suran (2008).

  3. There is a voluminous literature that analyzes the different reasons for such phenomena, for example, Jensen and Meckling (1976), Galai and Masulis (1976), Myers (1977), Myers and Majluf (1984), and Jensen (1986).

  4. Although not within the scope of this paper, one can also assume that the firm selects more than one project at a time and ranks projects by NPV.

  5. This behavior of small firms is consistent with Petersen and Rajan’s (1994) findings that 82 % of SME debt is in the form of bank loans and that, on average, small firms borrow from one bank whereas large firms borrow from three banks.

  6. It can be assumed that the bank knows more through the due-diligence stage in which the bank learns more about the specific borrower. This two-stage lending process can reduce the gap between the information of the bank and the borrower.

  7. Due diligence and milestone lending can improve the knowledge of the bank regarding the expected effort and the ability of the lender to select or pinpoint good quality projects.

  8. Following Stiglitz and Weiss (1981), if the bank faces a surplus of demand for debt over supply of debt at a given interest rate, then, because of the negative effect of high interest on the quality of lenders, the bank may have an incentive to ration debt rather than to increase the interest of debt.

  9. Kroll and Cohen (2000) analyzed these methods as alternative solutions for UI problems.

  10. In the case where the insurer is a mutual guarantee institute (MI) that belongs to a group of borrowers, it is possible that the information of the MI is better than that of the bank.

  11. Note that for costless competitive markets, Eq. (7) can be an equality rather than an inequality.

  12. Adding a cost to the insurer will cause a reduction in the benefits of the credit insurance but will not change the direction of the analysis and the main conclusion.

  13. For example, it is reasonable to assume that “subprime” borrowers devoted less effort in their fight for better prices when they purchased homes with close to 100 % nonrecourse loans.

  14. One can also assume random cash flow in each realization of a future state and then consider the expected cash flow in the realized future state.

  15. Kroll (1984) gives an example of state-contingent stochastic dominance analysis.

  16. Analysis of the option value of a leveraged stock is given originally by Galai and Masulis (1976).

  17. In practice, other welfare and social considerations may also affect these critical values.

  18. An exact analysis of the consideration to join the MI is beyond the scope of this paper.

  19. We assume that, because of competition, the NPVB of the bank is zero. Therefore, we obtain \( {\text{NPV}} = {\text{NPV}}_{\text{MI}} + {\text{NPV}}_{\text{S}} = 10.1 + 13.8 = 23.9 \).

  20. For example, consider the costless credit insurance (C = 0) contract with β = 100 %, which was in use among the more than 300 “kibbutz” firms in Israel until 1986. As a result, at the end of the eighties, 80 % of the “kibbutz” firms were in default and, later, almost 50 % of the small industrial plants that were owned by the kibbutzim had to be closed. Since 1990, the guarantees have not been without cost, and they cover at most 50 % of the defaulted amount. As a result, since 1990 very few plants in the kibbutzim have defaulted.

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Acknowledgments

We sincerely thank two anonymous referees for their very helpful and constructive comments and suggestions.

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Correspondence to Yoram Kroll.

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Kroll, Y., Cohen, A. Optimum pricing of mutual guarantees for credit. Small Bus Econ 41, 253–262 (2013). https://doi.org/10.1007/s11187-012-9430-3

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