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The LOLR Policy and its Signaling Effect in a Time of Crisis

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Abstract

When a government implements an LOLR policy during a crisis, creditors can infer a bank’s quality by whether the bank borrows government loans. We establish a formal model to study an LOLR policy in the presence of this signaling effect. We find that three equilibria exist: a separating equilibrium where only low quality banks borrow from the government and two pooling equilibria where both high and low quality banks do and do not borrow from the government. Further, we find that the government’s lending rate serves an important signaling role and that hiding the identity of the banks that borrow government loans tends to encourage banks to do so. We also find two welfare effects of the LOLR policy: the liquidation cost saving and moral hazard. Depending on which effect dominates, the optimal LOLR policy differs.

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Notes

  1. The following description of the event largely follows chapter 20 of Sorkin (2009), and chapter 6 of Johnson and Kwak (2010).

  2. See page 524 of Sorkin (2009).

  3. In financial crises central banks, fiscal authorities and financial regulators often act in concert to conduct the LOLR policy. In our discussion below we will describe this group as the “government”, assuming that is a shorthand for the group organizing private bank assistance.

  4. We assume that a0 could be negative. Thus, the private benefits measure the relative preference of managers over the risky asset.

  5. The way we introduce moral hazard closely follows Li et al. (2015).

  6. This assumption greatly simplifies our model without substantially affecting our quantitative results. A detailed discussion is in the Technical Appendix (https://www.researchgate.net/publication/335608797_TA_JFSRpdfhttps://www.researchgate.net/publication/335608797_TA_JFSRpdf) that is available online for readers’ access.

  7. This assumption is made to reflect a situation where a financial crisis is so severe that rescuing L-type banks is socially optimal ex post to avoid a collapse of the financial system.

  8. The sufficient condition for this assumption is in the Technical Appendix.

  9. The case where a bank’s total asset value is above the principal but below the principal plus interest of its debts does not apply to our model.

  10. Proofs of Lemmas 1 and 2 are in the Technical Appendix.

  11. Derivations of the above analysis are in Appendix A.

  12. The result for LG is conditional on a sufficiently low rG that guarantees to induce PBB when \(\hat {h}\ge h\).

  13. Derivations of the above analysis are in the Technical Appendix.

  14. We confine our attention to the equilibrium of a unique symmetric strategy because its property facilitates our welfare analysis. With alternative parameter values, we might have different results.

  15. See Bennett and Unal (2015).

  16. See the Technical Appendix for a more detailed explanation for the above parameter value choices.

  17. Throughout the paper, we focus on the case where \(\hat {h}\ge \bar {h}\) and \(\tilde {h}\le \bar {h}\). It is a reasonable case because L-type banks are more likely to borrow government loans. As a result, when creditors see a bank deviate to borrowing (not borrowing) government loans, they believe that bank is less (more) likely to be an H-type. Given this assumption, \(\tilde {h}=0\) and \(\hat {h}=\bar {h}=0.85\) are the off equilibrium path beliefs that make PNB and PBB most likely to exist.

  18. We prove this result analytically in the Technical Appendix.

  19. Here we assume that the government finances its loans at a riskless rate of zero by issuing government bonds. The derivation of Yshock and \({\Pi }_{G}^{shock}\) is in the Technical Appendix.

  20. This is because banks face the same situation at LG = 0 in PBB as in PNB: they borrow all the loans in the market at the same market rate.

  21. The proof of this result is in the Technical Appendix.

  22. We prove this result analytically in the Technical Appendix.

  23. The detailed derivation of EY and EπG is in the Technical Appendix.

  24. See Schularick and Taylor (2012).

  25. See the Technical Appendix for more detailed explanation.

  26. The related analytical derivations of the following results are in the Technical Appendix.

  27. An L-type bank either borrows at a market rate \(r_{M,G,\bar {h}}\) or liquidates its asset at an implied borrowing rate of \(\frac {1}{\gamma }-1\) to repay its debts on date 1. In both cases, it incurs a higher borrowing cost than an H-type bank.

  28. This result holds in this numerical example. In a more general case, the result may not hold. Detailed explanations are in the Technical Appendix.

  29. The proof of this result is in the Technical Appendix.

  30. In general, because PNB has neither the liquidation cost saving effect nor the moral hazard effect, it tends to produce lower output than PBB and SE unless the negative moral hazard effect is larger than the liquidation cost saving effect in PBB and SE, which is possible with alternative parameter values.

  31. We assume that when a bank is indifferent between borrowing and not borrowing the government loans, it will not borrow the loans. Thus, this no-deviation condition holds without equality.

  32. Eer, shock slightly differs from EeL, G with the exogenously given h being replaced by endogenously determined \(\bar {h}\).

  33. We offer a detailed explanation about the market freeze case in the Technical Appendix.

References

  • Bagehot W (1873) Lombard street: a description of the money market, revised edn with a foreword by Bernstein P (1999). Wiley, New York

    Google Scholar 

  • Bennett R, Unal H (2015) Understanding the components of bank failure resolution costs. Financial Markts Institutions and Investments 24:349–389

    Article  Google Scholar 

  • Ennis H, Weinberg J (2013) Over-the-counter loans, adverse selection, and stigma in the interbank market. Rev Econ Dyn 16:601–616

    Article  Google Scholar 

  • Freixas X, Parigi BM, Rochet J (2004) The lender of last resort: a 21st century approach. J Europ Econ Assoc 2:1085–1115

    Article  Google Scholar 

  • Goodfriend M, King R (1988) Financial deregulation, monetary policy, and central banking. In: Haraf W, Kushmeider RM, AEI Studies (eds). UPA Lanham, Md, No. 481

  • Goodhart C, Huang H (1999) A model of the lender of last resort. IMF Working Paper WP/99/39

  • Johnson S, Kwak J (2010) 13 bankers: the wall street takeover and the next financial meltdown. Patheon

  • Leland HE, Pyle DH (1977) Information symmetries, financial structure, and financial intermediation. J Financ 322:371–387

    Article  Google Scholar 

  • Li M, Milne F, Qiu J (2015) Moral hazard, central bank screening, and the LOLR policy. Working Papers 1506, University of Guelph, Department of Economics and Finance

  • Li M, Milne F, Qiu J (2016) Uncertainty in an interconnected financial system, contagion, and market freezes. J Money Credit Bank 48:1135–1168

    Article  Google Scholar 

  • Pritsker M (2013) Knightian uncertainty and interbank lending. J Financ Intermediat 22:85–105

    Article  Google Scholar 

  • Rochet J, Vives X (2004) Coordination failure and the lender of last resort: was Bagehot right after all? J Europ Econ Assoc 2:1116–1147

    Article  Google Scholar 

  • Schularick M, Taylor A (2012) Credit boom gone bust: monetary policy, leverage cycles, and financial crises, 1870-2008. Am Econ Rev 102:1029–1061

    Article  Google Scholar 

  • Sorkin A (2009) Too big to fail: the inside story of how Wall Street and Washington fought to save the financial system and themselves. Penguin Books

  • Stiglitz J, Weiss A (1981) Credit rationing in markets with imperfect information. Am Econ Rev 71:393–410

    Google Scholar 

  • Thornton H (1802) An enquiry into the nature of the paper credit of Great Britain. Edited with an introduction by Hayek FA (1939). Rinehart and Co., New York

    Google Scholar 

Download references

Acknowledgments

We greatly thank the editor and two anonymous referees for their helpful comments.

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Correspondence to Mei Li.

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Appendices

Appendix A: Derivations for rM, G and \(\hat {r}_{M}\) in PBB

An equilibrium market rate exists only when: (1) it will give creditors an expected riskless rate of zero; (2) both types of banks are willing to borrow at this rate; and (3) it can actually be paid by H-type banks and L-type banks in the up state. The equilibrium rate derived from Criterion 1 might be too high due to a low h or \(\hat {h}\) such that Criteria 2 and 3 are not satisfied. In this case, a market freeze occurs and no equilibrium rate exists.

Based on Criterion 1, an equilibrium market rate rM, G should satisfy:

$$ \begin{array}{@{}rcl@{}} 1 &=& h(1+r_{M,G})+(1-h)\left[p (1+r_{M,G})+(1-p)\frac{AR_{L}}{D_{0}}\right], \end{array} $$
(10)

or equivalently Eq. 3. We impose Condition (1) such that Criteria 2 and 3 hold. For Criterion 2 to hold, an equilibrium market rate must be lower than \(\frac {R_{H}}{\gamma }-1\) as proved in Lemma 2. Otherwise, banks will stop borrowing in the market. For Criterion 3 to hold, an equilibrium rate cannot exceed \(\frac {AR_{H}-L_{G}(1+r_{G})}{D_{0}-L_{G}}-1\), which is the maximum return rate an H-type bank or an L-type bank in the up state can afford.

Similarly, we find that \(\hat {r}_{M}\) takes the same form of rM, G with h being replaced by \(\hat {h}\), because it induces a zero expected return rate for creditors with a prior belief of \(\hat {h}\). Criterion 2 means that \(\hat {r}_{M}\) must be lower than \(\frac {R_{H}}{\gamma }-1\). Criterion 3 means that it cannot exceed \(\frac {AR_{H}}{D_{0}}-1\), which is the maximum return rate an H-type bank or an L-type bank in the up state can afford when deviating. Thus, we derive Condition (2).

Appendix B: Proof of Proposition 1

An H-type bank’s expected equity when following the equilibrium strategy is

$$ \begin{array}{@{}rcl@{}} E e_{H,G} = q e_{H,G,s_{i}=s_{H}} + (1-q)e_{H,G, s_{i}=\emptyset}, \end{array} $$
(11)

where

$$ \begin{array}{@{}rcl@{}} e_{H,G,s_{i}=s_{H}}&=&AR_{H}-L_{G}(1+r_{G})-(D_{0}-L_{G}), \end{array} $$
(12)
$$ \begin{array}{@{}rcl@{}} e_{H,G, s_{i}=\emptyset} &=& AR_{H} - L_{G}(1+r_{G})-(D_{0}-L_{G})(1+r_{M,G}) \end{array} $$
(13)

are the bank’s equity with and without a signal, respectively. The subscript “G” means that banks borrow the government’s loans, and “si = ” means no signal.

An L-type bank’s expected equity when following the equilibrium strategy is

$$ \begin{array}{@{}rcl@{}} E e_{L,G} = q p e^{u}_{L,G, s_{i}=s_{L}}+(1-q) p e^{u}_{L,G, s_{i}=\emptyset}, \end{array} $$
(14)

where

$$ \begin{array}{@{}rcl@{}} e^{u}_{L,G, s_{i}=s_{L}} &=& \max\left\{0, \left( A-\frac{D_{0}-L_{G}}{\gamma}\right) R_{H} - L_{G}(1+r_{G})\right\}, \end{array} $$
(15)
$$ \begin{array}{@{}rcl@{}} e^{u}_{L,G, s_{i}=\emptyset}&=&e_{H,G, s_{i}=\emptyset} \end{array} $$
(16)

are its equity in the up state with and without a signal, respectively.

An H-type bank’s expected equity when deviating is

$$ \begin{array}{@{}rcl@{}} E \hat{e}_{H,NG} = q \hat{e}_{H,NG,s_{i}=s_{H}}+ (1-q)\hat{e}_{H,NG,s_{i}=\emptyset}, \end{array} $$
(17)

where

$$ \begin{array}{@{}rcl@{}} \hat{e}_{H,NG,s_{i}=s_{H}}&=& AR_{H} -D_{0}, \end{array} $$
(18)
$$ \begin{array}{@{}rcl@{}} \hat{e}_{H,NG,s_{i}=\emptyset}&=&AR_{H}-D_{0}(1+\hat{r}_{M}) \end{array} $$
(19)

are its equity with and without a signal, respectively. The subscript “NG” means that the banks do not borrow any of the government’s loans.

An L-type bank’s expected equity when deviating is

$$ \begin{array}{@{}rcl@{}} E \hat{e}_{L,NG} = (1-q)p \hat{e}^{u}_{L,NG,s_{i}=\emptyset} , \end{array} $$
(20)

where

$$ \begin{array}{@{}rcl@{}} \hat{e}^{u}_{L,NG,s_{i}=\emptyset}=\hat{e}_{H,NG,s_{i}=\emptyset}=AR_{H}-D_{0}(1+\hat{r}_{M}) \end{array} $$
(21)

is its equity in the up state without a signal. Its equity with a signal is simply zero.

Using Eqs. 11 and 17, we get the no-deviation condition for an H-type bank:

$$ \begin{array}{@{}rcl@{}} E e_{H,G}-E \hat{e}_{H,NG}=(1-q)D_{0}[\hat{r}_{M}-r_{M,G}]+L_{G}[(1-q)r_{M,G}-r_{G}]>0. \end{array} $$
(22)

Thus, we derive Condition (4).Footnote 31

Using Eqs. 14 and 20, we find that

$$ \begin{array}{@{}rcl@{}} E e_{L,G}-E \hat{e}_{L,NG}&=& q p \max\left\{0, \left( A-\frac{D_{0}-L_{G}}{\gamma}\right) R_{H} - L_{G}(1+r_{G})\right\}\\ &&+(1-q)p[D_{0}(\hat{r}_{M}-r_{M,G})+L_{G}(r_{M,G}-r_{G})]. \end{array} $$
(23)

If \(E e_{H,G}-E \hat {e}_{H,NG}> 0\), we find that

$$ \begin{array}{@{}rcl@{}} E e_{L,G}-E \hat{e}_{L,NG}&=&p(E e_{H,G}-E \hat{e}_{H,NG})+pqL_{G}r_{G}+ \\ &&q p \max\left\{0, \left( A-\frac{D_{0}-L_{G}}{\gamma}\right) R_{H} - L_{G}(1+r_{G})\right\}>0. \end{array} $$
(24)

Thus, we prove that as long as H-type banks’ no-deviation condition is satisfied, L-type banks’ no-deviation condition must be satisfied too. Thus, we prove Result (1).

When \(\hat {h}\ge h\), \(\hat {r}_{M}\le r_{M,G}\), and the first term in Eq. 22 is no greater than zero. Thus, the second term must be positive for \(Ee_{H,G}-E\hat {e}_{H,NG}\) to be positive. This means rG < (1 − q)rM, G. Thus, we prove Result (2).

To prove Result (3), we need to find the first order derivatives of \(E e_{H,G}-E \hat {e}_{H,NG}\) with respect to LG, rG, q, and \(\hat {h}\) at \(E e_{H,G}-E \hat {e}_{H,NG}=0\). Let \(\hat {\Phi }=E e_{H,G}-E \hat {e}_{H,NG}\). We find that:

$$ \begin{array}{@{}rcl@{}} \left.\frac{\partial \hat{\Phi}}{\partial L_{G}}\right\rvert_{\hat{\Phi}=0}=(1-q)r_{M,G}-r_{G}. \end{array} $$
(25)

We have proved that when \(\hat {h}\ge h\), the first term in Eq. 22 is no greater than zero. Thus, the second term, (1 − q)rM, GrG, must be no less than zero at \(\hat {\Phi }=0\). That is, \(\left .\frac {\partial \hat {\Phi }}{\partial L_{G}}\right \rvert _{\hat {\Phi }=0}\ge 0\), which means that PBB is more likely to exist with a higher LG.

Note that \(\left .\frac {\partial \hat {\Phi }}{\partial r_{G}}\right \rvert _{\hat {\Phi }=0}=-L_{G}<0\). That is, PBB is more likely to exist with a lower rG.

In addition, \(\left .\frac {\partial \hat {\Phi }}{\partial q}\right \rvert _{\hat {\Phi }=0}=D_{0}(r_{M,G}-\hat {r}_{M})-L_{G} r_{M,G}\). Using Eq. 22, we find that at \(\hat {\Phi }=0\), since rG ≥ 0, \(L_{G}r_{M,G}\ge D_{0}(r_{M,G}-\hat {r}_{M})\)(the condition holds without equality if rG > 0). Thus we find that \(\left .\frac {\partial \hat {\Phi }}{\partial q}\right \rvert _{\hat {\Phi }=0}\le 0\). That is, PBB is more likely to exist with a lower q.

Finally, \(\left .\frac {\partial \hat {\Phi }}{\partial \hat {r}_{M}}\right \rvert _{\hat {\Phi }=0}=(1-q)D_{0}>0\). Note \(\frac {\partial \hat {r}_{M}}{\partial \hat {h}}<0\), because a more optimistic belief off the equilibrium path lowers the market rate off the equilibrium path. Thus, \(\left .\frac {\partial \hat {\Phi }}{\partial \hat {h}}\right \rvert _{\hat {\Phi }=0}<0\). That is, PBB is more likely to exist with a lower \(\hat {h}\).

Appendix C: Proof of Proposition 4

First, we find the threshold level of hi, \(\bar {h}\). If each bank follows a switching strategy of choosing the risky asset if and only if \(h_{i}>\bar {h}\), a bank’s expected date 2 equity from choosing the safe asset is given by:

$$ \begin{array}{@{}rcl@{}} Ee^{s}=\pi e^{s,no shock}+(1-\pi)Ee^{s,shock}. \end{array} $$
(26)

Here es, noshock = ARHD0 denotes the bank’s equity value on date 2 without a crisis. In this case, all the banks are solvent and roll over their debts at the riskless rate of zero. The Ees, shock denotes the bank’s expected date 2 equity with a crisis. In this case, proportion \(\bar {h}\) of the banks is H-type, and proportion \(1-\bar {h}\) of the banks is L-type. A bank’s expected date 2 equity from choosing the safe asset is given by:

$$ \begin{array}{@{}rcl@{}} Ee^{s,shock} &= & AR_{H}-L_{G}(1+r_{G})-(D_{0}-L_{G})[(1-q)(1+r_{M,G,\bar{h}})+q], \end{array} $$
(27)

where \(r_{M,G,\bar {h}}\) is given by Eq. 8. Again, we confine to the case where \(\bar {h}\) is sufficiently high such that an equilibrium market rate exists and there is no market freeze.

A bank’s expected date 2 equity from choosing the risky asset is given by:

$$ \begin{array}{@{}rcl@{}} Ee^{r}=\pi e^{r,no shock}+(1-\pi)Ee^{r,shock}. \end{array} $$
(28)

Here er, noshock = ARTD0 denotes the bank’s date 2 equity without a crisis. Eer, shock, the bank’s expected date 2 equity in a crisis, is specified in Eq. 14.Footnote 32

The bank with \(h_{i}=\bar {h}\) must be indifferent between the two choices. Thus, we have:

$$ \begin{array}{@{}rcl@{}} a_{0}+a_{1} \bar{h}=Ee^{s} - Ee^{r}. \end{array} $$
(29)

Note that:

$$ \begin{array}{@{}rcl@{}} Ee^{s}-Ee^{r}&=&\pi A(R_{H}-R_{T})+ (1-\pi)\left\{\vphantom{A-\frac{D_{0}-L_{G}}{\gamma}}(1-(1-q)p)AR_{H}- \right.\\ && D_{0}[(1-q)(1-p)(1+r_{M,G,\bar{h}})+q]+L_{G}[(1-q)(1-p)r_{M,G,\bar{h}}- \\ && \left.(1-(1-q)p)r_{G}]-qp\max\left\{0, \left( A-\frac{D_{0}-L_{G}}{\gamma}\right) R_{H} - L_{G}(1+r_{G})\right\} \right\}. \end{array} $$
(30)

Thus, we prove Eq. 7.

In the Technical Appendix, we prove that the RHS in the above equation is strictly increasing and concave in h. We also prove that to ensure a stable, unique and interior solution to \(\bar {h}\in (0,1)\), we can impose the following conditions: (1) At h = hf, EesEer > a0 + a1hf, where hf is the threshold level of h below which a market freeze occurs.Footnote 33 (2) At h = 1, EesEer < a0 + a1h. With these conditions, EesEera0a1h is strictly decreasing in h around the equilibrium \(\bar {h}\).

We confine our attention to symmetric switching strategies where each bank chooses the risky asset if and only if hi is above a threshold level. Additionally, we assume that parameter values satisfy the above conditions such that a unique interior solution to \(\bar {h}\) exists. We find that there exists a symmetric switching strategy perfect Bayesian equilibrium where a bank chooses the risky asset if and only if \(h_{i}>\bar {h}\). This switching strategy \(\bar {h}\) is optimal for each bank because given that each bank follows this switching strategy, any bank with \(h_{i}>\bar {h}\) has the unchanged RHS in Eq. 29 and the higher LHS. This is because both Ees and Eer do not change in hi. Thus, it is indeed optimal for the bank to choose the risky asset. Meanwhile, any bank with \(h_{i}<\bar {h}\) has the unchanged RHS and the lower LHS. Thus, it is indeed optimal for the bank to choose the safe asset.

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Li, M., Milne, F. & Qiu, J. The LOLR Policy and its Signaling Effect in a Time of Crisis. J Financ Serv Res 57, 231–252 (2020). https://doi.org/10.1007/s10693-019-00324-6

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