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Dynamic Pricing of Credit Cards and the Effects of Regulation

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Abstract

We construct a two-period model of revolving credit with asymmetric information and adverse selection. In the second period, lenders exploit an informational advantage with respect to their own customers. Those rents stimulate competition for customers in the first period. The informational advantage the current lender enjoys relative to its competitors determines interest rates, credit supply, and switching behavior. We evaluate the consequences of limiting the repricing of existing balances as implemented by recent legislation. Such restrictions increase deadweight losses and reduce ex ante consumer surplus. The model suggests novel approaches to identify empirically the effects of this law. We find the pattern of changes to interest rates and balance transfer activity before and after the CARD Act are consistent with the testable implications of the model.

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Notes

  1. We describe the most closely related models and related empirical research in Section 2.2.

  2. Throughout the paper, we refer to a lender interacting with its existing customers as an inside lender. Lenders seeking to attract new customers are referred to as outside lenders.

  3. This is one of several restrictions established by The Credit Card Accountability, Responsibility and Disclosure Act of 2009.

  4. The welfare results are based on a model in which the primary barrier to price competition is adverse selection resulting from asymmetric information with rational consumers who respond in a manner consistent with the usual neoclassical assumptions. Hence, our model serves as a useful benchmark for evaluating policy options. Given that our unregulated equilibrium is inefficient, a regulation has the potential to improve welfare (although the particular regulation we study in our model does not). Of course, with a fraction of behavioral agents in the borrower population, there is more room for welfare improvement, see Campbell (2016) for a discussion on this. For example, Incekara-Hafalir (2015) analyzes a credit card market with naive hyperbolic borrowers and shows that the consumer’s time inconsistency shapes credit card pricing patterns, namely the low pricing of short-term elements and the high pricing of long-term elements contingent on borrowing. Borrowers incorrectly anticipate low future debt, which lenders can exploit.

  5. For suggestive evidence that the CARD Act’s pricing restrictions are binding, see Figures 1, 4, and 5 of Nelson (2018).

  6. These values are for year-end 2017, as reported in the Federal Reserve Board’s monthly Consumer Credit - G19 report.

  7. The first statistic is from Bricker et al. 2017 and the second is from the Nilson Report.

  8. In 2016, general-purpose credit cards accounted for 34 billion transactions worth $3 trillion. See Federal Reserve Payments Study (2017).

  9. For this reason, some legal scholars describe these as “at-will” contracts.

  10. Bar-Gill and Davis (2010) describe a June 2009 telephone survey in which one-third of 1,000 cardholders reported experiencing adverse changes in the terms of their accounts. Data for 2007-2008 from Argus Information & Advisory Services suggest that 17 percent of credit card accounts were repriced. See CFPB (2013), p. 28. Nelson (2018) estimates that prior to the CARD Act about 50 percent of accounts carrying a balance were repriced in ways subsequently prohibited by the act.

  11. See Gabaix and Laibson (2006) for a formalization of this intuition. As an empirical question, Nelson (2018) finds evidence supporting both arguments: Opportunistic repricing of prime borrowers and re-pricing for increased credit risk among subprime borrowers. See Figure 8 of that paper.

  12. The original proposed rules are at 73 Federal Register 28904 (May 19, 2008). The final pre-CARD Act rules are at 74 Federal Register 5498 (January 29, 2009) (“UDAP”) and 74 Federal Register 5244 (Jan. 29, 2009).

  13. Public Law 111-24, 123 Stat. 1734 (2009).

  14. Public Law 111-203, 124 Stat. 1376 (2010).

  15. 75 Federal Register 7658 (February 2010).

  16. This is the value of gross charge-offs reported in the spreadsheets compiled for the FDIC’s Quarterly Banking Profiles. Santucci (2016) estimates that 28 percent of the reduction in balances that existed in March 2009 occurred via charge-offs.

  17. These are the authors’ calculations using data from Mintel Comperemedia.

  18. See, for example, Bolton and Dewatripont (2005) and Freixas and Rochet (2008).

  19. As noted earlier, a significant share of credit cardholders pay off their balance every month. Our model, and the legislation we study, has different implications for cardholders who revolve and those who do not.

  20. One could argue, however, that the interest charged on long-term debt represents a separate rate paid on the earliest draw associated with establishing the firm.

  21. In this dimension, Park’s model is more closely related to the literature on bank loan commitments described previously. In Section C, where we allow for endogenous default, we reproduce a number of the results found in Park (2004).

  22. Hereafter, we refer to this paper as RdSP.

  23. Lenders do monitor detailed information about the offers made by their competitors. For example, such information is found in data collected by Mintel Comperemedia. While lenders do not observe specifically which consumers receive credit card offers, they are able to monitor the credit applications of consumers (hard inquiries).

  24. Note that this was a period in which the reference rate for most credit cards (either the LIBOR or Prime rate) fell significantly. CFPB also found that approximately 150 million card accounts were repriced (upward) in the year before implementation of the CARD Act’s limitations on repricing. See also Nelson (2018).

  25. This data set is similar to one of the data sets used in CFPB (2013).

  26. It should be noted, however, that during the time period in which he estimates his model (July 2008–June 2009), lenders were actively repricing accounts in anticipation of new regulations. See footnote 11.

  27. Switching costs are an important facet of the model and empirical results in Nelson (2018). Our model can accommodate heterogeneous switching costs, but we omit them from the exposition as they do not affect our qualitative results.

  28. In the main model, we do not allow the borrower to choose whether to default or not, but we do so in an extension in Appendix C. Our main results do not change qualitatively.

  29. In reality, many consumers hold more than one credit card. However, Nelson (2018) argues that 80–90 percent of consumers concentrate their balances on a single card at a time. It is very common for lenders to incentivize consumers to single home by offering contracts with fixed annual fees and rewards based on purchase volume. Thus single homing of balances is not an implausible assumption for the model.

  30. This matters only for the outside lenders because it affects the fraction of high types μ in the Bayesian updating. In the U.S., lenders can target prospective new customers by specifying criteria (including scores and debt levels) for lists of customers who will receive “prescreened” offers of credit.

  31. In practice, creditors do periodical reviews of their existing customers by obtaining “refreshed” credit scores from one of the bureaus.

  32. von Thadden (2004) shows that without the incumbent’s commitment to an interest rate policy, the only equilibrium in Sharpe’s model is in mixed strategies. In practice, credit card lenders do not engage in mixed strategies. Lenders use randomized experiments to test new pricing strategies, but those are costly. Yuan (2013) shows that randomized balance transfer offers yield $13 less profit per account (excluding mailing costs) than offers targeted on the basis of borrower characteristics. The authors’ conversations with several market participants suggest that the vast majority of offers in a given credit card marketing campaign are based on a deterministic price schedule.

  33. For example, in addition to obtaining credit scores generated from credit bureau data, many credit card lenders use behavioral scores, generated from data describing how their customers are using their accounts with the lender.

  34. If the probability of repaying the debt pi in the second period was a function of the level of debt, then the second period interest rate on new borrowing would also be a function of the level of debt. Our stark assumption that the borrower either has enough income to pay-off the entire debt or not, allows us to simplify the model by ignoring these dependencies in the main analysis.

  35. Note here that R can be viewed as an expected interest rate. As it will become clear when we analyze the second period equilibrium, the interest rate a borrower will receive from the inside lender may also depend on the signal received by the outside lender.

  36. The first order condition \(b_{1}^{\ast }\) must satisfy is presented in the proof of Lemma 1 in the Appendix.

  37. As noted previously, the fact that a borrower carries debt into the second period (but not the level of that debt) conveys probabilistic information about his type.

  38. In the real world, many credit card solicitations include a balance transfer option.

  39. For the equilibrium described in Proposition 1 to be valid, we implicitly have assumed that the monopoly rate for the inside lender to the high type is higher than the break-even rate for the outsiders when the signal is . Otherwise, and given that demand for credit is downward sloping, the inside lender can earn higher profits by charging rates to the high types that are lower than the ones stated in the proposition. This applies to the case in which the borrower carries no debt from the first period.

  40. In the proof of Proposition 1, we show that the second term in the RHS of (4.10) is positive.

  41. Both terms of \(r^{o}_{I2}(H,h)\) decrease with ϕ. The first term is clear why. The numerator of the second term is decreasing because it reflects the difference in borrower utility between the inside and the outside lender for new debt only. The inside lender’s rate is fixed, but the outside lender’s rate decreases with ϕ. The denominator is increasing because p(s) and \(b^{*}_{1}(r_{1})(1+r_{1})\) are increasing. The last term is increasing since r1 is increasing in ϕ and, as we show in footnote 58, we are on the increasing part of the total revenue curve. On the other hand, the effect of ϕ on \(r^{o}_{I2}(H,\ell )\) is ambiguous since p() is decreasing in ϕ.

  42. We assume that the first-period interest rate is higher than \(\hat {r}_{I2}(H)\). This is definitely true for sufficiently high ϕ. In the numerical example in Appendix B, it is true for all ϕ. We have not been able to produce an example in which the first-period rate falls below \(\hat {r}_{I2}(H)\) but also we have been unable to prove the opposite in general. Under this assumption, H types never switch lenders in the unregulated equilibrium.

  43. This result is reminiscent of Gehrig and Stenbacka (2007), where information sharing in later periods between banks competing in repeated lending markets leads to reduction in expected future rents which, in turn, relaxes ex-ante competition.

  44. As we show in the proof of Proposition 4, this is always true for the low type and the high type when the signal the outsiders have received is low, while for the high type when the signal is high depends on the insider’s informational advantage.

  45. An implication of this assumption is that a higher fraction of sub-prime borrowers is revolving debt than the corresponding fraction in the prime group. This is consistent with reality. The supervisory data (see Section 7 for more discussion about our data) enables us to identify the portion of credit card balances that are not paid off in full at the end of the billing cycle. In other words, we can measure, with considerable precision, consumers who revolve balances. We use a fairly conservative definition–consumers who revolve a balance in each of the last three months. Using this definition, over the most recent eight years of the data, we find that about 50 percent of subprime card holders are revolving a balance and about 20-25 percent of prime cardholders are carrying a balance.

  46. The increase is also higher percentage-wise.

  47. Our model could easily be modified to exhibit switching in the unregulated equilibrium, at the price of increased complexity and length. For the purposes of our analysis, however, we lose little or nothing in the way of generality by normalizing this rate to zero.

  48. Specifically we use Mintel’s Direct Mail Monitor Data (hereafter Mintel).

  49. Han et al. (2018) compare the Mintel sample characteristics to the Survey of Consumer Finances and find them to be broadly comparable.

  50. The source of the credit bureau information is from Trans Union LLC (hereafter the TU Match File). Note that all the data we work with in this paper are anonymized.

  51. We segment consumers in the Mintel data into risk segments using a cutoff value of 660 for the consumer’s VantageScore, one of several credit scores frequently used in the market place. Specifically, we use a transformed version of the VantageScore 2.0 so that its range of possible scores is similar to other commercial credit scores.

  52. In the Y14 data, the most commonly used credit score is FICO. We use the same cutoff as we did with the Mintel/TU Match File data. To be clear, there is no instance in our data or analysis in which we are comparing two different credit scores for the same consumer or account. While we use Mintel/TU Match File data as geographically specific control variables in our regressions using Y-14 data, in no instance do we match individual Mintel/TU Match File observations with individual Y-14 observations.

  53. This is the interest rate consumers pay on new purchases and on all balances after the expiration of introductory rates offered. In addition, this is the “best” rate offered, in other words, the lowest rate in a range of interest rates that might be included in the consumer mailing.

  54. In our data, the vast majority (more than 80 percent) of balances ever transferred occur within the first three months of the opening of a new account.

  55. Our regression analysis excludes Alaska, Hawaii, South Dakota, Vermont, and Wyoming, the District of Columbia, and the US territories due to limited sample size in one or both data sets for those geographies. These excluded areas account for less than 2 percent of balances in our data set.

  56. Coefficient estimates from the regressions without first standardizing the dependent variable are available upon request.

  57. This assumption is confirmed in equilibrium. Essentially, the lender cannot become better off by making second-period rates for new borrowing a function of existing debt. This is no longer true when we allow for endogenous default (see Section C). However, second period rates for existing debt can depend on the level of debt.

  58. Note that πI2(d≠ 0,s) decreases as r1 decreases, because the \(b^{*}_{1}(r_{1})(1+r_{1})\) term decreases. A standard argument from basic monopoly theory would suggest that the rate that maximizes total expected revenue, p(1 + r)b(r), is higher than the one where the monopolist breaks even. Now observe that, in our model, when ϕ = 1 the first-period interest rate, \(r^{*}_{1}=(1+\overline {r}-\overline {p})/\overline {p}\), is the one where the lender breaks even in period 1, with a repayment probability \(p=\overline {p}\). So, \(r_{1}^{*}\) is below the rate that maximizes total revenue (which does not depend on pi), and the relevant range for r1 must be on the upward part of the total revenue curve (assuming it is inverse U-shaped), for any pi. This is true for all ϕ since as ϕ decreases \(r_{1}^{*}\) decreases as well.

  59. It can be verified that (A.12) is greater than \((1+\overline {r}-p_{L})/p_{L}\) if and only if \(r_{1}^{reg}<(1+\overline {r}-p_{L})/p_{L}\).

  60. Due to the rate inefficiency for new debt, while the insider’s expected profit is still zero.

  61. In the numerical example in Section B, regulation is not binding for the inside lender when it lends to the H type when ϕ exceeds a threshold.

  62. Note that such deviation will attract both types of borrowers. That is why in computing the expected profit of an outsider, we use p(s) as the probability of repayment.

  63. The utility borrowers receive is the same as in the unregulated equilibrium, since it is determined by what the competitive fringe offers. These offers have not been affected by the regulation for two reasons: First, the regulation applies to the insider and second, competition among the outsiders disciplines their behavior. Given a downward sloping indifference curve in the space of old and new interest rates, if regulation is binding for the insider – which it definitely is if the signal of the outsiders is low – then the rate on new debt must increase relative to the unregulated equilibrium.

  64. This is true, for example, when the utility is as in the examples in footnote 69 and f(0) is not too high.

  65. Alternatively, the RHS of (A.18) is decreasing in b2 as long as (A.19) is satisfied. (Marginal utility is decreasing faster than the probability of no default, as borrowing increases.) Also, given our assumption that \(u^{\prime }(0)\) is high, the RHS of (A.18) exceeds pi when b2 = 0. At a certain b2, the LHS (which is independent of b2) and RHS of (A.18) become equal, and this is where the first-order condition for an interior maximum is satisfied, while the RHS of (A.18) is still decreasing in b2. After a threshold, as we argued previously, the inequality given by (A.19) is reversed and the RHS of (A.18) becomes increasing in b2. The next b2 at which it meets pi corresponds to a local minimum of the expected utility. Beyond this point, expected utility keeps rising, see Fig. 10.

  66. These are not the only rates that yield zero expected profit. They yield zero profit from new and old borrowing separately, but there are other rates that yield overall zero expected profit, as we will see next.

  67. Note that in this case the probability of s = , given i = H is zero.

  68. The MHR property states that (1 − F(𝜃))/f(𝜃) is strictly decreasing in 𝜃 and is satisfied by many commonly used distributions such as the normal and the uniform. See Bagnoli and Bergstrom (2005).

  69. Both of these assumptions are satisfied, for example, by u = bc/c, with c < 1 and \(u=\log (1+b)\).

  70. With probability 1 − pi the borrower’s income is low in which case he defaults with certainty and incurs the expected (i.e., the average) cost of bankruptcy \(\overline {c}\).

  71. This assumption, which states that even the highest cost of bankruptcy is not too high, ensures that the lender does not find it profitable to induce the borrower to borrow up to the credit limit on the increasing portion of the borrower’s expected utility to the right of the interior maximum (because default at that point is certain); see Fig. 10. Alternatively, we could have assumed that the probability of default is always less than one but increases rapidly after borrowing exceeds a certain threshold and so a lender’s profit function is also decreasing.

  72. Lemma 3 presents the break-even rates. But the inside lender will earn in equilibrium strictly positive rents from the high type borrower and therefore the rate on existing (old) debt will rise. Hence, we highlight the possibility that with moral hazard, and unlike the case where default was exogenous, we can observe an equilibrium in which rates on new borrowing are higher than rates on existing debt.

  73. This arises for reasons similar to those in Stiglitz and Weiss (1981). The difference is that we study revolving credit, where the credit limit typically does not bind, while Stiglitz and Weiss examine a standard one-period debt contract.

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Acknowledgements

We wish to acknowledge very useful insights from an anonymous referee, Thanos Athanasopoulos (discussant), Walter Beckert (discussant), Mitchell Berlin, Jesse Bricker, Glenn Canner, Paul Calem, Lukasz Drozd, Daniel Grodzicki, Michael Heller, Loretta Mester, Daniel Sanches, and seminar participants at ASSA 2015, Bocconi University, CRESSE 2018, MaCCI 2019 and CRETE 2019. We would also like to thank Mariah Allen and Ian McGroarty for excellent research assistance. Suting Hong acknowledges support from the ShanghaiTech University Start-up Fund. Any errors are entirely our own.

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Appendices

Appendix A: Proofs of Lemmas and Propositions

1.1 A.1 Proof of Lemma 1

The first-order condition of (4.3) with respect to b1, assuming that second-period rates for new borrowing do not depend on b1, isFootnote 57

$$\begin{array}{@{}rcl@{}} &&u^{\prime }\left(b_{1}\right) -(1+r_{1}) \bar{p}-\delta\left(1-\bar{p}\right) (1+r_{1}) \left[\left(\mu p_{H}\left(1+R^{o}_{j2}\left(H\right) \right)+ (1-\mu)p_{L}\left(1+R^{o}_{j2}\left(L\right) \right)\right)\right]\\ &-&\delta(1-\overline{p})b_{1}(1+r_{1})\left(\mu p_{H}\frac{\partial R^{o}_{j2}(H)}{\partial b_{1}}+(1-\mu)p_{L}\frac{\partial R^{o}_{j2}(L)}{\partial b_{1}}\right)=0\text{.} \end{array}$$
(A.1)

Let \(b_{1}^{\ast }\left (r_{1}\right )\) denote the size of the first-period loan. The constrained utility maximization problem can be stated as follows:

$$\begin{array}{@{}rcl@{}} &&\max\limits_{\{r^{n}_{j2},r^{o}_{j2}\}} U_{2}=u\left(b^{*}_{2}\right)-\left(1+r^{n}_{j2}\left(i\right) \right)b^{*}_{2}p_{i}-\left(1+r^{o}_{j2}\left(i\right) \right)\left(b^{*}_{1}\left(1+r_{1} \right) \right) p_{i}\\ &&\text{subject to:}\\ &&\left((r^{n}_{j2}(i)-\overline{r})p_{i}-(1-p_{i})(1+\overline{r})\right)b_{2}^{\ast}+\left((r^{o}_{j2}(i)-\overline{r})p_{i}- (1-p_{i})(1+\overline{r})\right)b^{*}_{1}(1+r_{1})=k. \end{array}$$

The (absolute) marginal rate of substitution between old and new interest rates, \(dr^{o}_{j2}/dr^{n}_{j2}\), using the envelope theorem, holding expected utility constant (indifference curve) is

$$\frac{b^{*}_{2}}{b_{1}(1+r_{1})},$$

while holding the expected profits constant (iso-profit curve) is

$$\frac{p_{i}b_{2}^{*}+((r^{n}_{j2}(i)-\overline{r})p_{i}-(1-p_{i})(1+\overline{r}))\frac{\partial b_{2}^{*}}{\partial r_{j2}^{n}}}{p_{i}b^{*}_{1}(1+r_{1})}.$$

It can be easily calculated, using (4.2), that \(\partial b^{*}_{2}/\partial r^{n}_{j2}<0\). The two marginal rates of substitution become equal at \(r^{n}_{j2}(i)=(1+\overline {r}-p_{i})/p_{i}\). This is the one-period break-even interest rate. The unique tangency is optimal because when \(r^{n}_{j2}(i)<(1+\overline {r}-p_{i})/p_{i}\) the iso-profit curve has a steeper slope than the indifference curve and when \(r^{n}_{j2}(i)>(1+\overline {r}-p_{i})/p_{i}\) the slope of the iso-profit is flatter. These imply that any movement away from the tangency, on the iso-profit, will only lower the borrower’s expected utility. The optimal rate on old debt, \(r_{j2}^{o}(i)\), is derived from the iso-profit constraint. Therefore, the solution to the previous constrained maximization problem is

$$r^{n}_{j2}(i)=\frac{1+\overline{r}-p_{i}}{p_{i}}\text{ and } r^{o}_{j2}(i)=\frac{b^{*}_{1}(1+r_{1})(1+\overline{r}-p_{i})+k}{p_{i}b^{*}_{1}(1+r_{1})}.$$

1.2 A.2 Derivation of probabilities

Using Bayes’ rule, with the understanding that μ is a function of whether d = 0 or d≠ 0, as given by (3.1), but in the expressions below such a dependence is suppressed, we derive the following conditional probabilities

$$\Pr(H|h)=\frac{(1+\phi)\mu}{(1+2\mu\phi-\phi)} \text{ and } \Pr(L|\ell)=\frac{(1+\phi)(1-\mu)}{(1-2\mu\phi+\phi)}.$$
(A.2)

The expected repayment probability, attached by an outsider who has received signal s = h, is

$$p(h)\equiv p_{H}\Pr(H|h)+p_{L}\Pr(L|h)=p_{H}\frac{(1+\phi)\mu}{(1+2\mu\phi-\phi)}+p_{L}\frac{(1-\phi)(1-\mu)}{(1+2\mu\phi-\phi)},$$
(A.3)

while if the signal the outsider has received is the expected probability is

$$p(\ell)\equiv p_{H}\Pr(H|\ell)+p_{L}\Pr(L|\ell)=p_{H}\frac{(1-\phi)\mu}{(1-2\mu\phi+\phi)}+p_{L}\frac{(1+\phi)(1-\mu)}{(1-2\mu\phi+\phi)}.$$
(A.4)

1.3 A.3 Proof of Proposition 1

We assume that the inside lender moves first and commits to the rate policy. Outsiders observe the insider’s policy but not the actual offer. The competitive fringe moves second, as in Sharpe (1990). In what follows, we suppress the dependence of the interest rates on d = 0 or d≠ 0, but it should be clear from the context which one is the case. Recall that the belief about the fraction of high types in the second period μ depends on whether the borrower carries debt or not. This affects the repayment probabilities p(s) and the interest rates, whenever those depend on the outsiders’ signal.

Borrower carries debt. :

All lenders offer the efficient rate for new debt as given in Lemma 1. The rate on old debt simply transfers surplus. The insider offers \(r^{n}_{I2}(i,s)=\hat {r}_{I2}(i)\) for new debt, i = L,H and s = ,h. When i = L, the insider also offers \(r_{I2}^{o}(L,s)=\hat {r}_{I2}(L)\) for existing debt and for any s, making zero expected profits. The outsiders also offer \(r_{O2}^{n}(s)=r_{O2}^{o}(s)=\hat {r}_{I2}(L)\) for old and new debt, regardless of the signal they receive. When i = H, the insider’s offer for existing debt is the one that yields utility to the borrower equal to the utility the borrower would receive had the outsiders offered their break-even rates \(\hat {r}_{O2}(s)\), s = ,h, for new and old debt, that is

$$\begin{array}{@{}rcl@{}} r_{I2}^{o}(H,s)&=&\frac{1+\overline{r}-p(s)}{p(s)}\\ &&+\frac{(u(b^{*}_{2}(r_{I2}^{n}(H,s)))-u(b^{*}_{2}(\hat{r}_{O2}(s))))p(s)- (1+\overline{r})(b^{*}_{2}(r_{I2}^{n}(H,s))p(s)-b^{*}_{2}(\hat{r}_{O2}(s))p_{H})}{p(s)p_{H}b_{1}^{*}(r_{1})(1+r_{1})}, \end{array}$$

where \(b^{*}_{2}(r_{j2}^{n})\) is the amount the lender borrows in period 2 (new debt) from lender j = I,O.

Since the rate of the insider on new debt is lower than the rate the outsiders offer, the second-period expected utility of the high-type borrower, from new borrowing only, is higher when he borrows from the insider than the outsider

$$u(b^{*}_{2}(r_{I2}^{n}(H,s)))-(1+\overline{r})b^{*}_{2}(r_{I2}^{n}(H,s))\geq u(b^{*}_{2}(\hat{r}_{O2}(s)))-(1+\overline{r})\frac{p_{H}b^{*}_{2}(\hat{r}_{O2}(s))}{p(s)}.$$

The above inequality implies that the second term in the RHS of (4.10) is positive. Hence, \(r_{I2}^{o}(H,s)\geq \hat {r}_{O2}(s)\), s = ,h. Given the strategy of the insider, the outsider has no incentive to deviate. To steal the high-type borrower from the insider, it must offer rates lower than \(\hat {r}_{O2}(s)\). This strategy will attract both types of borrowers, but the outsider’s expected profits are negative. If the outsider’s rates are higher than \(\hat {r}_{O2}(s)\), it makes a loan to the borrower only in the event the borrower is of low quality. But in this case, expected profit is also negative. Given the response of the competitive fringe, the insider’s strategy is optimal. Profits will not increase if the rate offered to the low type changes; if it goes down, profits become negative, and if it goes up, the competitive fringe can make a better and profitable offer. Moreover, if the rates offered to the high type decrease, then profits will decrease (the competitive fringe will not match the offers since expected profits for them conditional on the signal are negative), while if the rates increase the competitive fringe will profitably undercut them.

Borrower carries no debt. :

The insider offers \(r_{I2}(L,s)=\hat {r}_{I2}(L)\), when i = L and regardless of the outsiders’ signal. The outsiders also offer \(r_{O2}(s)=\hat {r}_{I2}(L)\), no matter what signal they receive. When i = H, and assuming that the monopoly interest rate for the inside lender when it lends to the high type is higher than \(\hat {r}_{O2}(\ell )\), the insider offers \(r_{I2}(H,s)=\hat {r}_{O2}(s)\), s = ,h. Following a similar logic as in the previous case, no player has an incentive to deviate.

1.4 A.4 Proof of Lemma 2

We totally differentiate (A.1) with respect to b1 and r1, by noting that equilibrium interest rates in period 2 for the low type are independent of b1 and r1, while for the high type the rate for old debt is given by (4.10). We need to compute the effect of b1 on the second-period rate for the old debt the high type will pay. Using (4.10) we obtain

$$\frac{dr^{o}_{I2}(H,s)}{db_{1}}=-\frac{(u(b^{*}_{2}(r_{I2}^{n}(H,s)))-u(b^{*}_{2}(\hat{r}_{O2}(s))))p(s)- (1+\overline{r})(b^{*}_{2}(r_{I2}^{n}(H,s))p(s)-b^{*}_{2}(\hat{r}_{O2}(s))p_{H})}{p(s)p_{H}(b_{1}^{*}(r_{1}))^{2}(1+r_{1})}.$$
(A.5)

From the proof of Proposition 1, the above term is negative. Let

$$A(s)\equiv (u(b^{*}_{2}(r_{I2}^{n}(H,s)))-u(b^{*}_{2}(\hat{r}_{O2}(s))))p(s)- (1+\overline{r})(b^{*}_{2}(r_{I2}^{n}(H,s))p(s)-b^{*}_{2}(\hat{r}_{O2}(s))p_{H}).$$

We substitute (A.5), (4.10) and the equilibrium second-period rate for existing debt for the L types into the borrower’s first-order condition for b1, (A.1), also noting that the secondperiod rate on old debt for the low type is not a function of b1. This yields

$$\begin{array}{@{}rcl@{}} &&u^{\prime }\left(b_{1}\right) -(1+r_{1}) \bar{p}\\ &-&\delta\left(1-\bar{p}\right) (1+r_{1})\Big(\mu p_{H}\Big\{\frac{1+\phi}{2}\left(1+\frac{1+\overline{r}-p(h)}{p(h)}+\frac{A(h)}{p(h)p_{H}b_{1}^{*}(r_{1})(1+r_{1})}\right)+\\ &&\frac{1-\phi}{2}\left(1+\frac{1+\overline{r}-p(\ell)}{p(\ell)}+\frac{A(\ell)}{p(\ell)p_{H}b_{1}^{*}(r_{1})(1+r_{1})}\right)\Big\}+(1-\mu)p_{L}\left(1+\frac{1+\bar{r}-p_{L}}{p_{L}} \right)\Big)\\ &+&\delta(1-\overline{p})b_{1}(1+r_{1})\left(\mu p_{H}\left\{\frac{1+\phi}{2}\frac{A(h)}{p(h)p_{H}(b_{1}^{*}(r_{1}))^{2}(1+r_{1})}+\frac{1-\phi}{2}\frac{A(\ell)}{p(\ell)p_{H}(b_{1}^{*}(r_{1}))^{2}(1+r_{1})}\right\}\right)=0\Rightarrow\\ &&u^{\prime }\left(b_{1}\right) -(1+r_{1}) \bar{p}-\delta\left(1-\bar{p}\right)(1+r_{1})(1+\bar{r})\left[\mu\underbrace{p_{H}\left\{\frac{1+\phi}{2p(h)}+\frac{1-\phi}{2p(\ell)}\right\}}_{X(\phi)}+(1-\mu)\right]=0. \end{array}$$
(A.6)

As r1 affects the first-order condition negatively and the utility function u(⋅) is concave, it follows easily that \(db^{*}_{1}/dr_{1}<0\).

The X(ϕ) term in (A.6) captures the inside lender’s informational advantage, and it ranges monotonically from 1 when ϕ = 1 (no informational advantage) to \(p_{H}/\bar {p}>1\) when ϕ = 0 (maximum informational advantage). Finally, it is easy to show that the term in the brackets in (A.6) is inverse U-shaped in μ, suggesting that the highest uncertainty, and hence market power for the inside lenders, is for intermediate μ’s.

1.5 A.5 Proof of Proposition 2

First, we account for the outsider signal uncertainty. Using the second-period equilibrium interest rates (see Proposition 1), the expected profits of the insider in the second period, if the borrower is of high type, using (4.4) and (4.5), are

$$E\pi_{I2}(H;d\neq 0)=\pi_{I2}(d\neq 0,h)\frac{1+\phi}{2}+\pi_{I2}(d\neq 0,\ell)\frac{1-\phi}{2},$$

where, using the rates from Proposition 1

$$\begin{array}{@{}rcl@{}} &&\pi_{I2}(d\neq 0,s)=\frac{(p_{H}-p(s))(1+\overline{r})b^{*}_{1}(r_{1})(1+r_{1})}{p(s)}\\ &+&\frac{(u(b^{*}_{2}(r_{I2}^{n}(H,s)))-u(b^{*}_{2}(\hat{r}_{O2}(s))))p(s)-(1+\overline{r})(b^{*}_{2}(r_{I2}^{n}(H,s))p(s)-b^{*}_{2}(\hat{r}_{O2}(s))p_{H})}{p(s)}\geq 0 \end{array}$$
(A.7)

andFootnote 58

$$\begin{array}{@{}rcl@{}} E\pi_{I2}(H;d=0)&=&\pi_{I2}(d=0,h)\frac{1+\phi}{2}+\pi_{I2}(d=0,\ell)\frac{1-\phi}{2}\\ &=&\frac{1+\phi}{2}\left(\left(\hat{r}_{O2}(h)-\bar{r}\right) p_{H}-\left(1-p_{H}\right)\left(1+\bar{r}\right)\right)b^{*}_{2}(\hat{r}_{O2}(h))\\ &&+\frac{1-\phi}{2}\left(\left(\hat{r}_{O2}(l)-\bar{r}\right) p_{H}-\left(1-p_{H}\right)\left(1+\bar{r}\right)\right)b^{*}_{2}(\hat{r}_{O2}(l))\\ &=&\frac{(1-\mu)(p_{H}-p_{L})(1+\overline{r})(1-\phi^{2})b^{*}_{2}(\hat{r}_{O2}(h))}{2\left(p_{H}\mu(1+\phi)+p_{L}(1-\mu)(1-\phi)\right)}\\ &&+\frac{(1-\mu)(p_{H}-p_{L})(1+\overline{r})(1-\phi^{2})b^{*}_{2}(\hat{r}_{O2}(\ell))}{2\left(p_{H}\mu(1-\phi)+p_{L}(1-\mu)(1+\phi)\right)}\geq 0. \end{array}$$
(A.8)

When the borrower is of the low type (high risk), profits are EπI2(L) = 0, regardless of the level of debt.

Second, we account for the uncertainty over the true probability pi and the level of debt d1. Therefore, second-period expected profits are given by

$$E\pi_{I2}=\mu\left[p_{H} E\pi_{I2}(H;d=0)+(1-p_{H})E\pi_{I2}(H;d\neq 0)\right]\geq 0.$$
(A.9)

The representative lender’s expected profits at the beginning of period 1 are

$$E\pi=\left((r_{1}-\overline{r})\overline{p}-(1-\overline{p})(1+\overline{r})\right)b^{\ast}_{1}+\delta E\pi_{I2}.$$

Because borrowers are ex-ante identical and lenders are homogeneous, competition in the first period will drive expected profits down to zero. The first period equilibrium interest rate \(r_{1}^{\ast }\) must satisfy Eπ = 0, which yields

$$r^{*}_{1}=\frac{1+\overline{r}-\overline{p}}{\overline{p}}-\frac{\delta E\pi_{I2}}{\overline{p}b^{*}_{1}(r^{*}_{1})}.$$
(A.10)

Note that: i) EπI2(H; d = 0) does not depend on r1, ii) EπI2(H; d≠ 0) is increasing in r1 and iii) \(db^{*}_{1}(r_{1})/dr_{1}<0\) (see Lemma 2). Therefore, the term \(\delta E\pi _{I2}/(\overline {p}b^{*}_{1}(r_{1}))\) is increasing in r1. So, the right-hand side of (A.10) is decreasing in r1. This implies that there exists a unique \(r^{*}_{1}\) (not necessarily positive) that makes Eπ zero.

Next, we examine the effect of ϕ on \(r^{*}_{1}\). It is clear that as ϕ increases, the informational advantage of the insider over the outsiders diminishes and second-period expected profits decrease. Also, from (A.6), it follows that b1 increases as ϕ increases, holding r1 fixed. This implies that as ϕ increases, the RHS of (A.10) increases as well and hence \(r_{1}^{*}\) increases.

1.6 A.6 Proof of Proposition 4

Second-period expected profits for the inside lender will be positive. Therefore, first-period rate \(r^{reg}_{1}\) must be less that \((1+\overline {r}-\overline {p})/\overline {p}\); otherwise first-period profits are also positive, which contradicts the fact that overall expected profits must be zero in equilibrium. Hence, the following ranking holds

$$r^{reg}_{1}<\frac{1+\overline{r}-\overline{p}}{\overline{p}}<\frac{1+\overline{r}-p(\ell)}{p(\ell)}<\frac{1+\overline{r}-p_{L}}{p_{L}}.$$
(A.11)

We use \(\tilde {r}\) to denote the second-period rates under regulation. In what follows, we assume that the borrower carries debt into the second period. Otherwise, the regulation does not affect the equilibrium described in Propositions 1 and 2.

Low type. :

From (A.11), the break-even rate for the low type, \(\hat {r}_{I2}(L)\equiv (1+\overline {r}-p_{L})/p_{L}\), is higher than the first-period rate, \(r^{reg}_{1}\). The inside lender is constrained by the regulation not to raise the second-period rate for existing debt from \(r^{reg}_{1}\). Thus, in equilibrium, the insider offers \(\tilde {r}^{o}_{I2}(L,s)=r_{1}^{reg}\) for existing debt and

$$\tilde{r}^{n}_{I2}(L,s)=\frac{1+\overline{r}-p_{L}}{p_{L}}+\frac{b_{1}(1+r_{1}^{reg})\left(1+\overline{r}-p_{L}(1+r_{1}^{reg})\right)}{p_{L}b_{2}},$$
(A.12)

s = ,h, for new debt so that expected profits are zero.Footnote 59 Denote the utility to the borrower by U2(L). The outside lenders have an advantage over the insider and can offer to the borrower strictly higher utility than U2(L), while their expected profits are zero. This follows from Lemma 1, which demonstrates that the rate for new debt that maximizes the surplus in the lender-borrower relationship is \(\hat {r}_{I2}(L)\equiv (1+\overline {r}-p_{L})/p_{L}\). The rate on existing debt simply transfers surplus between the two parties. Due to regulation, the insider offers a rate on new debt that is higher than the efficient rate, \(\tilde {r}^{n}_{I2}(L,s)>\hat {r}_{I2}(L)\). In equilibrium, the outsiders offer \(\tilde {r}^{n}_{O2}(s)=\tilde {r}^{o}_{O2}(s)=\hat {r}_{I2}(L)\), s = ,h, which provides to the borrower strictly higher utility than the insiderFootnote 60 (but the same as in the unregulated case) while, due to Bertrand-type competition, make zero expected profits.

In sum, regulation has no effect on the second-period equilibrium rates offered to the low type (same as in Proposition 1). Also, all lenders make zero expected profits, as in the unregulated case. The only effect regulation has is that it induces the low type to switch lenders. The low type, however, is as well off as he was prior to regulation (assuming switching is costless). This is true as long as no high type switches lenders, so the outsiders are certain that they are lending to the low types.

High type. :

The rate for existing debt prior to regulation is given by (4.10). It follows from (A.11) that regulation is certainly binding for the insider when i = H and s = , that is, \(r_{1}^{reg}\) is below \(r^{o}_{I2}(H,\ell )\), the rate the insider offers under no regulation to the H type when the marker’s signal is . It may or may not be below \(r^{o}_{I2}(H,h)\), depending on the informational asymmetry ϕ.Footnote 61

We assume that \(r_{1}^{reg}>\hat {r}_{I2}(H)\equiv (1+\bar {r}-p_{H})/p_{H}\), which guarantees strictly positive expected profits of the inside lenders when they lend to the high types. Hence, no high-type borrower switches lenders. This assumption is confirmed by the numerical example of Section B and is certainly true for high ϕ. In what follows, we assume that \(r_{1}^{reg}<r^{o}_{I2}(H,h)<r^{o}_{I2}(H,\ell )\), but the arguments do not change if \(r_{1}^{reg}>r^{o}_{I2}(H,h)\).

In equilibrium, the insider makes interest rate offers to the borrower for existing and new debt so that, if the outsiders were to match the borrower’s utility, their profits would be zero (the same as when they lend to the low type exclusively). Since the outsiders face no constraints, a deviator’s offer for new debt would be equal to \(\hat {r}_{O2}(s)\), s = ,h and for old debt greater than or equal to \(\hat {r}_{O2}(s)\), s = ,h. To ensure that there does not exist a profitable deviation on part of the outsiders, when regulation is binding, the rate the insider offers for new debt should match the expected utility the borrower obtains if he borrows from an outsider instead at the zero-profit-for-an-outsider deviation rates \(\hat {r}_{O2}(s)\), s = ,h, and it is given (implicitly) byFootnote 62

$$\begin{array}{@{}rcl@{}} \tilde{r}_{I2}^{n}(H,s)&=&-1+\left(\frac{(1+\hat{r}_{O2}(s))(1+r_{1}^{reg})}{b^{*}_{2}(\tilde{r}_{I2}^{n}(H,s))}-\frac{(1+r_{1}^{reg})^{2}}{b^{*}_{2}(\tilde{r}_{I2}^{n}(H,s))}\right)b^{*}_{1}\\ &&+\frac{u(b^{*}_{2}(\tilde{r}_{I2}^{n}(H,s)))- u(b^{*}_{2}(\hat{r}_{O2}(s)))}{b^{*}_{2}(\tilde{r}_{I2}^{n}(H,s))p_{H}}+\frac{b^{*}_{2}(\hat{r}_{O2}(s))(1+\hat{r}_{O2})}{b^{*}_{2}(\tilde{r}_{I2}^{n}(H,s))p(H)}. \end{array}$$
(A.13)

Due to the insider’s inability to raise the rate on old debt from \(r_{1}^{reg}\), the rate on new debt can be higher than the efficient rate.Footnote 63 Given that the inside lender can no longer offer the efficient rate for new debt and the borrower’s utility stays the same between the two regimes (determined by the outsiders’ potential offers), it follows that the inside lender is worse off under the regulation in the second period, that is, \(E\pi _{I2}^{reg}(H;d\neq 0)\leq E\pi _{I2}(H;d\neq 0)\), where EπI2(H; d≠ 0) was derived when we analyzed the unregulated equilibrium.

Combining the case of positive second-period debt we just examined with that of no debt, the expected profits in the second period for the inside lender are

$$E\pi_{I2}^{reg}=\mu\left[p_{H} E\pi_{I2}(H;d=0)+(1-p_{H})E\pi_{I2}^{reg}(H;d\neq 0)\right]>0.$$

Analogous to the unregulated case, see (A.10), the first-period equilibrium rate must satisfy

$$r^{reg}_{1}=\frac{1+\overline{r}-\overline{p}}{\overline{p}}-\frac{\delta E\pi_{I2}^{reg}}{\overline{p}b^{*}_{1}(r^{reg}_{1})}.$$
(A.14)

The \(\delta E\pi _{I2}^{reg}/(\overline {p}b_{1}^{\ast }(r^{reg}_{1}))\) term decreases as \(r_{1}^{reg}\) decreases. As we argued previously, the numerator decreases, while the denominator increases, \(db^{*}_{1}(r_{1}^{reg})/dr_{1}^{reg}<0\), as we show next. First, we differentiate (4.3) with respect to b1 taking into account that b1 affects the rates for new borrowing in period 2, as it is demonstrated by (A.13). This yields

$$\begin{array}{@{}rcl@{}} &&u^{\prime }\left(b_{1}\right) -(1+r^{reg}_{1}) \bar{p}-\delta\left(1-\bar{p}\right) (1+r^{reg}_{1})\left[\left(\mu p_{H}\left(1+R^{o}_{j2}\left(H\right) \right)+ (1-\mu)p_{L}\left(1+R^{o}_{j2}\left(L\right) \right)\right)\right]\\ &-&\delta(1-\overline{p})\left(\mu p_{H}\frac{\partial R^{n}_{j2}(H)}{\partial b_{1}}b^{*}_{2}(p_{H})\right)=0. \end{array}$$

Using the equilibrium rates and how (A.13) responds to changes in b1, we obtain

$$\begin{array}{@{}rcl@{}} &&u^{\prime }\left(b_{1}\right) -(1+r^{reg}_{1}) \bar{p}-\delta\left(1-\bar{p}\right) \left[\left(\mu p_{H}(1+r_{1}^{reg})^{2}\right)+ (1-\mu)(1+\overline{r})(1+r_{1}^{reg})\right]\\ &-&\delta(1-\overline{p})\mu p_{H}\left(\frac{1+\phi}{2}\left(\frac{(1+\overline{r})(1+r_{1}^{reg})}{b^{*}_{2}(r_{1}^{reg})p(h)}-\frac{(1+r_{1}^{reg})^{2}}{b^{*}_{2}(r_{1}^{reg})}\right)b^{*}_{2}(r_{1}^{reg})\right)\\ &-&\delta(1-\overline{p})\mu p_{H}\left(\frac{1-\phi}{2} \left(\frac{(1+\overline{r})(1+r_{1}^{reg})}{b^{*}_{2}(r_{1}^{reg})p(\ell)}-\frac{(1+r_{1}^{reg})^{2}}{b^{*}_{2}(r_{1}^{reg})}\right)b^{*}_{2}(r_{1}^{reg})\right)=0\Rightarrow\\ &&u^{\prime }\left(b_{1}\right) -(1+r^{reg}_{1}) \bar{p}\\ &-&\delta\left(1-\bar{p}\right)(1+\overline{r})(1+r_{1}^{reg})\left(\frac{1+\phi}{2}\frac{\mu p_{H}}{p(h)}+\frac{1-\phi}{2}\frac{\mu p_{H}}{p(\ell)}+ (1-\mu)\right)=0. \end{array}$$
(A.15)

Using (A.15), we can derive \(db^{*}_{1}/dr_{1}^{reg}\)

$$\frac{db^{*}_{1}}{dr^{reg}_{1}}=\frac{\bar{p}+\delta\left(1-\bar{p}\right)(1+\overline{r})\left(\frac{1+\phi}{2}\frac{\mu p_{H}}{p(h)}+\frac{1-\phi}{2}\frac{\mu p_{H}}{p(\ell)}\right)}{u^{\prime\prime}(b_{1})}<0.$$

Thus, the RHS of (A.14) is increasing as \(r_{1}^{reg}\) decreases. Therefore, there exists a unique \(r^{reg}_{1}\) that satisfies the equilibrium condition (A.14).

How does the regulated equilibrium first-period rate compare with that in the unregulated equilibrium? Because \(E\pi _{I2}\geq E\pi _{I2}^{reg}\), the equilibrium interest rate under regulation is higher than the first-period rate under no regulation.

1.7 A.7 Proof of Proposition 5

The first-order condition of (C.1) with respect to b2 is

$$\begin{array}{@{}rcl@{}} &&u^{\prime}(b_{2})-p_{i}C^{nd}f(C^{nd})\frac{dC^{nd}}{db_{2}}+p_{i}C^{nd}f(C^{nd})\frac{dC^{nd}}{db_{2}}-p_{i}\frac{dC^{nd}}{db_{2}}(1-F(C^{nd}))=0\\ &&\Rightarrow u^{\prime}(b_{2})-p_{i}(1+r^{n/nd})(1-F(C^{nd}))=0. \end{array}$$
(A.16)

Let \(b_{2}^{nd}(r^{n/nd})\) denote the solution to the borrower’s optimization problem. The effect of the interest rate on the amount borrowed is (where the superscript of r is suppressed)

$$\frac{db^{nd}_{2}}{dr}=\frac{p_{i}\left((1-F(C^{nd}))-(1+r)f(C^{nd})b_{2}\right)}{u^{\prime\prime}(b_{2})+p_{i}(1+r)^{2}f(C^{nd})}.$$

The denominator must be negative (from the second order condition). The numerator is positive if and only if

$$b_{2}<\frac{1-F(C^{nd})}{(1+r)f(C^{nd})}.$$
(A.17)

If we assume that F(⋅) satisfies the monotone hazard rate (MHR) property, then the RHS of (A.17) is decreasing in b2, because Cnd is increasing in b2. When b2 = 0, the above inequality is satisfied, but for some b2, it may not. At that point, demand for credit will become upward sloping. So there may exist a b2, denoted by \(\overline {b}\) that satisfies the above expression with equality, such that beyond this level db2/dr > 0. We want to rule out this possibility. This is what we do next.

From the first-order condition of the borrower’s problem, see (A.16), the following expression must be satisfied

$$p_{i}=\frac{u^{\prime}(b_{2})}{(1+r)(1-F(C^{nd}))}.$$
(A.18)

We substitute the above into the borrower’s second-order condition

$$\begin{array}{@{}rcl@{}} &&u^{\prime\prime}(b_{2})+\frac{u^{\prime}(b_{2})}{(1+r)(1-F(C^{nd}))}(1+r)^{2}f(C^{nd})<0\Rightarrow u^{\prime\prime}(b_{2})+\frac{u^{\prime}(b_{2})(1+r)f(C^{nd})}{(1-F(C^{nd}))}<0\\ &&\Rightarrow-\frac{u^{\prime\prime}(b_{2})}{u^{\prime}(b_{2})}>\frac{(1+r)f(C^{nd})}{1-F(C^{nd})}. \end{array}$$
(A.19)

If the above condition is satisfied, then the borrower’s utility function is concave at the point where the first-order condition is satisfied. This suggests that for every interest rate there is a unique (interior) level of borrowing that maximizes utility. The LHS of (A.19) is the Arrow-Pratt coefficient of absolute risk aversion, which – given our assumption – is decreasing in b2. On the other hand, the RHS is increasing in b2 given that F(⋅) satisfies the MHR property. Furthermore, we assume that the inequality (A.19) is strictly satisfied at b2 = 0.Footnote 64 It follows that there must exist a unique b2 > 0 that satisfies (A.19) with equality. For b2’s higher than this threshold, whenever the first-order condition is satisfied, the borrower’s utility function is convex. Moreover, from that point on, the expected utility of the borrower is monotonically increasing in b2. The probability of default is very high and the borrower chooses to borrow a lot knowing that default is almost certain. In sum, the borrower’s expected utility may exhibit a sideways “S”-shape with a unique interior maximum.Footnote 65

Let \(\overline {B}\) be the level of borrowing that attains the same expected utility as the interior maximum, see Fig. 10. The lender, to prevent the borrower from borrowing too much and then defaulting, will impose a credit limit somewhere to the right of the point that satisfies the first-order condition for the interior maximum and to the left of \(\overline {B}\). If \({\Gamma }\leq (1+r)\overline {B}\), then the probability of default is 1 when borrowing exceeds \(\overline {B}\). Hence, a lender will never find it optimal to set a credit limit that exceeds \(\overline {B}\), as this will induce a certain default. Therefore, the first-order condition as given by (A.16) characterizes the borrower’s decision. When the probability of default is exogenously given, as we have assumed up to this section, a credit limit is not needed, since the borrower’s utility assumes a unique interior maximum.

Further, we assume that the Arrow-Pratt degree of relative risk aversion for u(⋅) does not exceed one

$$-\frac{u^{\prime\prime}(b_{2})b_{2}}{u^{\prime}(b_{2})}\leq 1.$$

This, together with (A.19), imply

$$\frac{1}{b_{2}}\geq-\frac{u^{\prime\prime}(b_{2})}{u^{\prime}(b_{2})}>\frac{(1+r)f(C^{nd})}{1-F(C^{nd})}.$$

Therefore, (A.17) is satisfied. Demand for credit is downward sloping, when the solution to a borrower’s utility maximization problem is interior (i.e., credit limit is not binding). Moreover, given our assumption \({\Gamma }\leq (1+r)\overline {B}\), the credit limit is not binding.

Now suppose the borrower carries debt from the first period. The first-order condition of (C.2) with respect to b2 is

$$\begin{array}{@{}rcl@{}} &&u^{\prime}(b_{2})-p_{i}C^{d}f(C^{d})\frac{dC^{d}}{db_{2}}+p_{i}C^{d}f(C^{nd})\frac{dC^{d}}{db_{2}}-p_{i}\frac{dC^{d}}{db_{2}}(1-F(C^{d}))=0\\ &&\Rightarrow u^{\prime}(b_{2})-p_{i}(1+r^{n/d})(1-F(C^{d}))=0. \end{array}$$
(A.20)

Let \({b_{2}^{d}}(r^{n/d},r^{o})\) denote the solution to the borrower’s optimization problem. It follows easily, by comparing (A.16) with (A.20), that \({b_{2}^{d}}\geq b_{2}^{nd}\) if the interest rates on new debt are the same. This is because default is more likely when the consumer carries debt, which makes borrowing in the second period cheaper. The effect of interest rates on the amount borrowed is

$$\begin{array}{@{}rcl@{}} \frac{d{b_{2}^{d}}}{dr^{n/d}}&=&\frac{p_{i}\left((1-F(C^{d}))-(1+r^{n/d})f(C^{d})b_{2}\right)}{u^{\prime\prime}(b_{2})+p_{i}(1+r^{n/d})^{2}f(C^{d})}\\ \frac{d{b_{2}^{d}}}{dr^{o}}&=&\frac{p_{i}\left((1-F(C^{d}))-(1+r^{n/d})f(C^{d})b_{1}(1+r_{1})\right)}{u^{\prime\prime}(b_{2})+p_{i}(1+r^{n})^{2}f(C^{d})}. \end{array}$$
(A.21)

Both rn/d and ro affect second-period borrowing. The rate on old debt affects new borrowing because it affects the default probability. As in the case of no debt, db2/drn/d is negative provided that the borrower’s utility has an Arrow-Pratt degree of relative risk aversion is not greater than one. For db2/dro to be negative, it must be that b1(1 + r1) is low enough.

1.8 A.8 Proof of Lemma 3

The break-even rates must (implicitly) satisfyFootnote 66

$$\hat{r}^{n/d}=\frac{1+\overline{r}-p_{i}(1-F(C^{d}))}{p_{i}(1-F(C^{d}))} \text{ and } \hat{r}^{o}=\frac{1+\overline{r}-p_{i}(1-F(C^{d}))}{p_{i}(1-F(C^{d}))}.$$
(A.22)

These rates resemble the break-even interest rates from the case of exogenous default (see (4.6)) but are modified to account for the probability of no default (1 − F(⋅)).

The first-order condition with respect to rn/d is

$$\begin{array}{@{}rcl@{}} &&\frac{d{\pi^{d}_{2}}}{dr^{n/d}}=\\ &&p_{i}(1-F(C^{d}))b_{2}-p_{i}f(C^{d})\left((1+r^{n/d}){b_{2}^{d}}+(1+r^{o})(1+r_{1})b_{1}\right)\left(b_{2}+(1+r^{n/d})\frac{db_{2}}{dr^{n/d}}\right)\\ &+&p_{i}(1-F(C^{d}))(1+r^{n/d})\frac{db_{2}}{dr^{n/d}}-(1+\overline{r})\frac{db_{2}}{dr^{n/d}}=0. \end{array}$$

The first-order condition with respect to ro is

$$\begin{array}{@{}rcl@{}} &&\frac{d\pi^{d}_2}{dr^{o}}=\\ &&p_i(1-F(C^d))(1+r_1)b_1-p_if(C^d)\left((1+r^{n/d})b_2^d+(1+r^o)(1+r_1)b_1\right)\left(b_1(1+r_1)+(1+r^{n/d})\frac{db_2}{dr^o}\right)\\ &+&p_i(1-F(C^d))(1+r^{n/d})\frac{db_2}{dr^o}-(1+\overline{r})\frac{db_2}{dr^o}=0. \end{array}$$

Let’s now turn to the borrower’s utility. Using (C.2), we can derive the (absolute) marginal rate of substitution between old and new interest rates, dro/drn, using the envelope theorem, and holding expected utility constant (indifference curve). This yields

$$\frac{dr^{o}}{dr^{n/d}}=\frac{b^{*}_{2}}{b_{1}(1+r_{1})}.$$

The iso-profit of the lender has slope (using Cd ≡ (1 + rn/d)b2 + (1 + ro)b1(1 + r1))

$$\begin{array}{@{}rcl@{}} &&\frac{dr^{o}}{dr^{n}}=\frac{d\pi/dr^{n/d}}{d\pi/dr^{o}}=\\ &&\frac{(p_{i}(1-F(C^{d}))-p_{i}f(C^{d})C^{d})b_{2}+\left(p_{i}(1-F(C^{d}))(1+r^{n/d})-(1+\overline{r})-p_{i}f(C^{d})C^{d}\right)\frac{db_{2}}{dr^{n/d}}}{(p_{i}(1-F(C^{d}))-p_{i}f(C^{d})C^{d})b_{1}(1+r_{1})+\left(p_{i}(1-F(C^{d}))(1+r^{/d}n)-(1+\overline{r})-p_{i}f(C^{d})C^{d}\right)\frac{db_{2}}{dr^{o}}}. \end{array}$$

If rn/d satisfies

$$r^{n/d}=\frac{1+\overline{r}-p_{i}(1-F(C^{d}))}{p_{i}(1-F(C^{d}))}+\frac{f(C^{d})C^{d}}{1-F(C^{d})},$$
(A.23)

then the slope of the iso-profit equals the slope of the indifference curve. The interest rates associated with this tangency maximize borrower utility subject to a constant lender profit constraint. The idea is similar to the one used in the proof of Lemma 1 and uses the fact we state in Proposition 5 that demand for credit is downward sloping.

Observe that the rate implied by (A.23) is higher than the break-even rate for new borrowing implied by (A.22). Therefore, for the lender to break even, the rate on existing debt must decrease, suggesting that the efficient break-even rates must satisfy

$$\tilde{r}^{n/d}=\frac{1+\overline{r}-p_{i}(1-F(C^{d}))}{p_{i}(1-F(C^{d}))}+\frac{f(C^{d})C^{d}}{1-F(C^{d})} \text{ and } \tilde{r}^{o}<\frac{1+\overline{r}-p_{i}(1-F(C^{d}))}{p_{i}(1-F(C^{d}))}.$$

Appendix B: A Numerical Example

We assume a CRRA utility function \(u(b_{t})=\frac {b_{t}^{1-\gamma }}{1-\gamma }\), t = 1, 2. We choose the parameter values so that the equilibrium interest rates are reasonably close to what is observed in real data. We set γ = 1/2, μ = 0.3, pH = 0.95, pL = 0.85, \(\overline {r}=0.02\), and δ = 0.8.

Figure 5 depicts the unregulated equilibrium second- and first-period rates, see Propositions 1 and 2.

Fig. 5
figure 5

Equilibrium second- and first-period interest rates as a function of the outsiders’ signal accuracy ϕ, the borrower’s type i = H,L, the outsiders’ signal s = h,, and the level of debt, d = 0 or d≠ 0

Figure 6 depicts the first- and second-period equilibrium and first-best borrowing. First-period equilibrium borrowing can be above or below what a social planner prefers, depending on the extent of the informational asymmetry. In the second period, while the social planner prefers smoothing of borrowing across types the market equilibrium does not deliver it. In addition, there is underborrowing relative to the first best. When ϕ = 1, and hence the inside lenders have no market power, the equilibrium borrowing in the second period is at the first-best levels,Footnote 67 but there is still inefficiency in period 1 borrowing. As we discuss in Section 4.3, this is because the social planner solution may imply negative profit for the lenders.

Fig. 6
figure 6

Equilibrium (*) versus the first-best (fb) borrowing (b) in periods 1 and 2 as a function of the outsiders’ signal accuracy ϕ, the borrower’s type i = H,L, the outsiders’ signal s = h, and the level of debt, d = 0 or d≠ 0

Figure 7 plots the regulated first-period rate, \(r_{1}^{reg}\), together with the equilibrium, \(r_{1}^{\ast }\), and the first-best, \(r_{1}^{fb}\), first-period rates, for all values of ϕ.

Fig. 7
figure 7

The first-period rates: \(r_{1}^{\ast }\) under no regulation, \(r_{1}^{reg}\) under regulation and \(r_{1}^{fb}=\frac {1+\overline {r}-\overline {p}}{\overline {p}}\), the first-best first-period rate. For ϕ less than (approximately) 0.81, the regulation is binding for the H type regardless of the outsiders’ signal, i.e., \(r_{1}^{reg}<r_{I2}^{o}(H,h,d\neq 0)<r_{I2}^{o}(H,\ell ,d\neq 0)\). For ϕ > 0.81, \(r_{1}^{reg}\) is higher than \(r^{o}_{I2}(H,h,d\neq 0)\) and therefore the regulation does not bind for the H type when s = h. In this case, the inside lender switches to the unregulated equilibrium rates

Borrowers pay a higher first-period rate but a lower rate on existing borrowing carried over in period 2 under regulation than in the unregulated equilibrium. As Fig. 8 illustrates, the overall effect of regulation on first-period borrowing is negative. Less first-period borrowing can be social welfare enhancing or damaging depending on the value of ϕ. Second-period borrowing for the H types who carry debt under regulation falls below the first best, since the rate on new debt under regulation is higher than the efficient rate. Moreover, these rates, as it can be seen from (A.13), depend on s and therefore regulation also introduces variability in the borrowing of the H types in period 2. Finally, as we know, regulation increases the deadweight loss, see Fig. 9.

Fig. 8
figure 8

Borrowers borrow less in the first period under regulation than no regulation

Fig. 9
figure 9

Total welfare comparisons: Regulation exacerbates the inefficiency relative to the unregulated equilibrium. When there is no asymmetric information between the inside and the outside lenders, ϕ = 1, then total welfare is the same between the regulated and the unregulated equilibrium

Appendix C: Endogenous default / moral hazard and Switching costs

The purpose of this section is to demonstrate that our main results do not change qualitatively when we allow the borrower to decide whether to default or not, when his income is high, or when the borrowers incur a cost to switch lenders.

1.1 C.1 Endogenous default / moral hazard

In the presence of potential moral hazard, lenders impose non-binding credit limits and the equilibrium interest rate in the second period on new borrowing can be lower than the rate on existing debt. Given the complexity of the problem, we focus on the second period, taking first-period interest rate and amount borrowed as given.

1.1.1 C.2 Borrower’s problem

Borrower i in period 2, who borrows from lender j, chooses b2 to maximize his second-period expected utility. After he chooses b2 the cost of bankruptcy c is a random draw from a distribution F(c) on [0,Γ] with mean \(\overline {c}\). We assume that F(⋅) satisfies the monotone hazard rate (MHR) property.Footnote 68 The borrower, after observing the cost of default and given that his income is not zero, decides whether to default or not. The second-period utility of the borrower is given as follows

$$\begin{array}{@{}rcl@{}} U_{2}=\left\{ \begin{array}{llll} u\left(b_{2}\right)-\left(1+r^{n/d} \right)b_{2}-\left(1+r^{o} \right)b_{1}\left(1+r_{1} \right)\text{,} & \text{ if } d=b_{1}(1+r_{1}) \text{ and no default} \\ u\left(b_{2}\right)-c\text{,} & \text{ if } d=b_{1}(1+r_{1}) \text{ and default} \\ u\left(b_{2}\right) -\left(1+r^{n/nd} \right) b_{2}\text{ ,} & \text{ if } d=0 \text{ and no default}\\ u\left(b_{2}\right) -c\text{ ,} & \text{ if } d=0 \text{ and default,} \end{array} \right. \end{array}$$

where n/d in the superscript of r stands for new (borrowing)/debt, while n/nd stands for new (borrowing)/ no debt. We assume that u(b2) exhibits a (weakly) decreasing Arrow-Pratt degree of absolute risk aversion and has a degree of relative risk aversion that is less than one.Footnote 69

If the borrower carries debt from the first period, and assuming that his income realization is high, he chooses to default if and only if the cost of default is low, that is, c ≤ (1 + rn/d)b2 + (1 + ro)b1(1 + r1), where ro is the interest rate for old debt. Let Cd ≡ (1 + rn/d)b2 + (1 + ro)b1(1 + r1). So, the probability of default is \(F\left (C^{d}\right )\). If the borrower does not carry debt from the first period, he chooses to default if and only if c ≤ (1 + rn/nd)b2. Let Cnd ≡ (1 + rn/nd)b2. The probability of default is F(Cnd).

The borrower’s expected utility if he carries no debt from the first period, where now we also account for the high income realization probability pi, isFootnote 70

$$U^{nd}_{2}=u(b_{2})-p_{i}{\int}_{0}^{C^{nd}}cf(c)dc-p_{i}C^{nd}{\int}_{C^{nd}}^{\infty}f(c)dc-(1-p_{i})\overline{c},$$
(C.1)

while if the borrower carries debt from the first period his expected utility is

$${U^{d}_{2}}=u(b_{2})-p_{i}{\int}_{0}^{C^{d}}cf(c)dc-p_{i}C^{d}{\int}_{C^{d}}^{\infty}f(c)dc-(1-p_{i})\overline{c}.$$
(C.2)

Finally, we assume that the upper bound of the support of the cost of default distribution Γ is below a threshold, that is defined in the proof of Proposition 5.Footnote 71

The following proposition summarizes the results from the borrower’s utility maximization problem.

Proposition 5

The borrower’s expected utility exhibits a sideways “S” shape, see Fig. 10. The lender will set a nonbinding credit limit to the left of \(\overline {B}\) to prevent the borrower from borrowing a lot and then defaulting with certainty. There exists a unique interior level of borrowing that maximizes expected utility, and the demand for credit is downward sloping with respect to the interest rate.

Fig. 10
figure 10

Second-period expected utility as a function of the amount borrowed. If the credit limit is set below \(\overline {B}\), then it is not binding. The borrower in this case will opt for the interior maximum

1.1.2 C.3 Lenders’ problem

We now turn to the lenders’ profit maximization problem. We begin by assuming that the borrower carries debt into the second period. The expected profit function of the lender in period 2 is

$$\begin{array}{@{}rcl@{}} {\pi_{2}^{d}}&=&p_{i}(1-F(C^{d}))\left((1+r^{n/d}){b_{2}^{d}}+(1+r^{o})(1+r_{1})b_{1}\right)-(1+\overline{r})({b_{2}^{d}}+(1+r_{1})b_{1})\\ &=&(p_{i}(1-F(C^{d}))(1+r^{n/d})-(1+\overline{r}))b_{2}+(p_{i}(1-F(C^{d}))(1+r^{o})-(1+\overline{r}))(b_{1}(1+r_{1})). \end{array}$$

The following Lemma, which is the extension of Lemma 1 to the endogenous default case, summarizes the results from the lender’s second-period problem.

Lemma 3

If the borrower carries debt into the second period, the second-period interest rates for old (o) and new (n) debt that maximize the borrower’s expected utility subject to lender j making zero expected profit are:

$$\tilde{r}^{n/d}=\frac{1+\overline{r}-p_{i}(1-F(C^{d}))}{p_{i}(1-F(C^{d}))}+\frac{f(C^{d})C^{d}}{1-F(C^{d})} \text{ and } \tilde{r}^{o}<\frac{1+\overline{r}-p_{i}(1-F(C^{d}))}{p_{i}(1-F(C^{d}))}.$$
(C.3)

The rate on new borrowing is higher than the rate on existing debt.

The rate on new borrowing is the efficient rate and balances optimally the following effects (assuming the rate decreases): A higher b2 increases the cost according to the cost of funds \(\overline {r}\), it increases the profit to the lender in case of repayment (which happens with probability pi(1 − F(⋅))), and increases the probability of default according to the hazard rate f(⋅)/(1 − F(⋅)). From (C.3), it is clear that the rate on new debt must be higher than the rate on existing debt. The difference with the efficient rate in the case of exogenous default, see Lemma Eq. 1, is that when default is endogenous the efficient rate increases by an amount equal to the hazard rate to optimally induce the borrower to borrow less.

In sum, when we allow for moral hazard and endogenous default, we can obtain, in equilibrium, a reversal in the ranking of the interest rates between old and new debt, relative to when default is exogenous.Footnote 72 In addition, a nonbinding credit limit arises in equilibrium.Footnote 73 However, the main results and insights we derived with exogenous default will hold here qualitatively, at least for the second period, (i.e., holding r1 and b1 fixed). All one has to do is to redefine all the key break-even interest rates from the main analysis, see (4.9), by adding to them the term that accounts for the hazard rate, f(⋅)/(1 − F(⋅)), and define the probability of repayment as pi(1 − F(⋅)) instead of pi. The regulation then will force the inside lender to increase the rate on new borrowing, as it would in the case of exogenous default. In other words, the intuition from Fig. 1, and the switching behavior of borrowers in particular, can be readily extended to the case of endogenous default.

1.2 C.4 Switching costs

We lay out an intuition about how switching fixed costs, borrowers incur when in the second period switch from an inside lender to an outsider, should affect the regulated and the unregulated equilibrium. Our purpose with this extension is to argue that it is straightforward to add this kind of friction to our benchmark model.

Suppose borrowers incur a common fixed cost τ > 0 of switching lenders in the second period. Let’s start with the unregulated equilibrium. The offers of the outsiders in the second period are still determined by the Bertrand-type competition among them and so they will not be affected. Moreover, all the rate offers of the inside lender, as given in Proposition 1, will increase by τ, so the inside lender now earns rents from the low types as well. This suggests that second period profits are higher than when τ = 0 and so the first period rate will be lower. Thus, the regulation is more binding for the inside lender than in the absence of switching costs.

Since all rates the inside lender offers in equilibrium increase uniformly by τ, the inside lender still earns higher rents from the high types than the low types and so has more room to maneuver post regulation. If the switching cost is low enough, then only the low types will switch, as in the main analysis. Borrowers incur the cost of switching but the switching cost is already included in the rate offers of the insider, so switching caused by the regulation does not create any additional deadweight loss. But the deadweight loss due to regulation, identified in the main analysis with zero switching costs, remains. In sum, switching costs represent a transfer from the borrowers to the inside lenders in the second period that is competed away in the first period. Regulation has the effects described in Proposition 4.

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Hong, S., Hunt, R.M. & Serfes, K. Dynamic Pricing of Credit Cards and the Effects of Regulation. J Financ Serv Res 64, 81–131 (2023). https://doi.org/10.1007/s10693-022-00385-0

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