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Strategic Response to Supervisory Coverage:
Evidence from the Syndicated Loan Market∗
Ivan T. Ivanov† Ben Ranish‡ James Wang§
July 2017
Abstract
We study banks’ syndicated lending around an unexpected change in the coverage of amajor supervisory program. Our identification relies on the program change differen-tially affecting otherwise similar syndicated deals. Overall, we find that lending shiftsto reduce the program’s oversight of the riskiest loans. However, we show that thisresult is driven by larger and more leveraged US banks. In contrast, smaller banks– with potentially less internal risk management expertise – take steps to maintainsupervisory coverage of their lending. Our paper has implications for the design ofsupervisory programs, highlighting the importance of disclosure to regulators.
∗We thank Greg Nini, Mitchell Berlin, Phil Dybvig, Matthew Gustafson, Ralf Meisenzahl, Edison Yu,seminar participants at the 2017 Federal Reserve System Applied Micro Conference, The CongressionalResearch Service, Federal Reserve Board, the WashU Corporate Finance Conference, and the 2016 QuantFestfor helpful comments. We thank John Colwell, Robert Cote, and Jaime Jo Perry for helpful discussions onthe SNC Reviews. The views stated herein are those of the authors and are not necessarily the views of theFederal Reserve Board or the Federal Reserve System.†Federal Reserve Board, 20th Street and Constitution Avenue NW, Washington, DC 20551; 202-452-2987;
[email protected].‡Federal Reserve Board, 20th Street and Constitution Avenue NW, Washington, DC 20551; 202-973-6964;
[email protected].§Federal Reserve Board, 20th Street and Constitution Avenue NW, Washington, DC 20551; 202-974-7095;
1 Introduction
Supervisory programs impose costs on banks, yet they may provide banks with significant
benefits. For instance, bank supervisors may provide banks with valuable risk management
expertise. Consistent with this idea, recent research suggests that supervisory attention im-
proves bank performance (e.g. Hirtle, Kovner, and Plosser (2016), Rezende and Wu (2014),
Delis, Staikouras, and Tsoumas (2016), Kandrac and Schlusche (2017), Eisenbach, Lucca,
and Townsend (2017)). However, if banks perceive costs exceeding these benefits, they may
attempt to avoid oversight. This potentially reduces the effectiveness of supervision.
We empirically assess this tradeoff by studying bank lending around an unexpected
change in the coverage of a major syndicated loan supervisory program – the Shared Na-
tional Credit (SNC) Program.1 We find that the largest and most leveraged lenders shift
their lending to reduce oversight of the riskiest deals. Smaller banks, in contrast, shift their
lending in order to maintain their supervisory program coverage. This is consistent with
smaller lenders perceiving positive net benefits from program participation, potentially due
to their more limited credit risk expertise.
In mid 1998, due to the rapid growth of the syndicated lending market, federal regulators
sought to reduce the burden on bank examiners by excluding SNC deals shared by only two
supervised lenders.2 Two lender deals comprised about 22% of the deals in the Program,
but only roughly 5.5% of aggregate commitments size.3
This coverage change gave banks an opportunity to shield deals from SNC oversight by
reducing the number of supervised lenders on a deal to two. We establish that this reduction
in the number of lenders is considerably more feasible for three-lender deals than for deals
1The SNC Program accounted for roughly $2 trillion in outstanding wholesale credit during our periodof study.
2SNC Program coverage is dependent on the number of supervised unaffiliated lenders on a deal. Fromthis point onwards, when we refer to “N lender” deals, we mean syndicated deals with exactly N supervisedunaffiliated lenders.
3During this time period, the SNC Program examined the vast majority of syndicated deals, placingsubstantial burden on supervisory resources. Our understanding of SNC procedures during this time periodis based on discussions with a former SNC Program coordinator and review of program reports.
1
with even just four lenders. Therefore, we expect that negotiations driven by the coverage
change come disproportionately from the population of three-lender deals.4 We then iden-
tify banks’ responses to supervisory oversight with a difference-in-difference estimator which
compares changes in the populations of three- and four-lender deals before and after the
program change.
Our setting helps address the usual challenges of establishing the causal effects of bank
supervision. Changes in supervision often have lengthy public comment periods and are an-
ticipated well in advance. This makes it difficult to establish the appropriate period of time
over which to evaluate policy changes. In our setting, SNC participants were notified with-
out warning of the change only seven months prior to the data collection stage of the 1999
exam. In addition it is usually challenging to find a plausibly exogenous treatment group,
as supervisory actions or programs are typically targeted at financially weaker institutions
or loan exposures (see, e.g. Kiser, Prager, and Scott (2016)). In our setting, the change
in SNC coverage unintentionally “treated” three-lender deals with a viable opportunity to
exit the Program. We show that the “treated” three-lender and “control” four-lender deals
were similar along a number of key dimensions prior to the change. Therefore, it is likely
that outcomes for three- and four-lender deals over our sample period would have followed
similar trends absent the changes in SNC coverage.
We find that three-lender deals exit the SNC Program at a relatively higher rate in the
three years following the change in coverage. The four to five percentage point (or 15%) in-
crease in three-lender deal exit relative to four-lender deal exit rate we find is consistent with
banks restructing deals to avoid oversight. As there may be considerable costs to rapidly
renegotiating deals after the change, the reduction in the three-lender deal population sug-
gests a lower bound on the fraction of deals where banks perceive negative net benefits of
SNC oversight. The increase in the three-lender deal exit rate is statistically significant and
stable across a set of specifications which increasingly relax the strict parallel trends assump-
4It is difficult to construct a reliable deal population using Dealscan, as deal terminations are not observed,and it is challenging to distinguish between renegotiations and new originations (see, Roberts (2015)).
2
tion of our base difference-in-differences specification. We also show a relative decline in the
rate of new three-lender deal originations following the change in coverage.
The increase in three-lender deal exits is much larger within the population of lower rated
“non-pass” credits, where the likely costs of supervisory scrutiny are greater. Using four sep-
arate measures of deal quality, we show that the relative credit quality of three-lender deals
improved significantly following the change in SNC coverage.
We argue that the net benefit to banks of SNC Program oversight should vary across
lenders. Small lenders may be at an informational disadvantage relative to larger lenders
with greater credit risk expertise and may therefore benefit more from supervision.5 In con-
trast, lenders with higher leverage may face a higher likelihood of severe supervisory action
as a result of the SNC Program. When we split our sample by the characteristics of the
syndicate participants, we find that the increase in the exit rates of three-lender deals is
concentrated within deals dominated by larger and more leveraged US lenders. We find no
evidence that the smallest or least leveraged banks, or foreign lenders, are systematically
(re)negotiating deals in order to avoid supervision.6
On the contrary, small lenders may not attempt to shield syndicated lending from SNC
oversight if they view such oversight as beneficial. In fact, small lenders may shift their
syndicated lending away from two-lender deals after the change in coverage into deals that
are still covered by the SNC Program. We find results consistent with such a shift. For
small banks, each additional two-lender deal held before the coverage change predicts that
the bank holds roughly one additional SNC deal after the coverage change. We do not find
this pattern for larger lenders, consistent with our prior results suggesting that it is the
larger lenders that attempt to avoid supervision. Nonetheless, as larger lenders dominate
the market for syndicated loans, strategic avoidance of supervision is more prevalent in the
aggregate.
5In addition, small lenders’ aggregate SNC Program costs may not be high enough to warrant a policyof strategic renegotiation.
6Supervision of foreign lenders is a function of both the bank’s primary home regulator as well as theirUS regulator.
3
We provide several tests of the robustness of our results. First, we use a combination of
both four and five lender syndicated deals as our control group. This trades off a more fully
captured “treatment” of three lender deals against the use of a less similar control group.
Our results are not affected significantly. Next, we consider the possibility that the exit of
three-lender deals could be related to possible disproportionate exit of “opaque” deals in a
weakening economy. To rule this out, we allow trends in exit rates to vary with two proxies
for deal opacity found in the literature: the public/private status of the borrowing company
as well as the share of the deal held by the lead bank (see, e.g., Sufi (2007)). Our results are
not affected significantly by these additional controls.
Our work is related to the literature on the optimal design of bank supervision and regula-
tion. We show evidence that supervisory programs which allow room for strategic avoidance
may be less effective and unintentionally distort the provision of credit. While prior research
supports a strong role for public disclosure in bank oversight (see Barth, Caprio Jr., and
Levine (2004), Beck, Demirguc-Kunt, and Levine (2006)), our findings highlight the benefits
of disclosure to regulators and comprehensive monitoring of the activity of regulated entities.
For example, continued reporting of two lender deals to supervisors could have disciplined
banks’ renegotiations of syndicated deals.
Our paper also contributes to the literature on the effect of supervision on bank risk-
taking and lending. This strand of work finds that supervision and regulatory enforce-
ment actions are associated with large reductions in bank risk-taking (Delis, Staikouras, and
Tsoumas (2016), Delis and Staikouras (2011), Hirtle, Kovner, and Plosser (2016), Ongena,
Popov, and Udell (2013), Rezende and Wu (2014), Kandrac and Schlusche (2017), Gopalan,
Kalda, and Manela (2016)). However, supervision does not appear to reduce bank profitabil-
ity (Hirtle, Kovner, and Plosser (2016), Rezende and Wu (2014)). Our work suggests that
strategic avoidance of supervision undertaken by many banks may reduce its impact. In
contrast, we also provide evidence that some banks, particularly small banks, may actually
prefer to receive some supervisory oversight.
4
2 Institutional Background
2.1 The SNC Program
The Shared National Credit (SNC) Program is an inter-agency agreement among the
three main Federal banking regulators – the Board of Governors of the Federal Reserve
System (FRS), the Federal Deposit Insurance Corporation (FDIC), and the Office of the
Comptroller of the Currency (OCC) – to monitor the credit risk of syndicated bank loans
in a uniform and efficient manner.7 The program, which has been in existence since 1977,
currently requires that supervised institutions report all syndicated loan deals exceeding $20
million that are held by three or more supervised institutions as of the end of each calendar
year. Deals are identified as sets of syndicated credit facilities which are originated at the
same time, to the same borrower, through the same lead bank. Since SNC coverage depends
on the number of supervised unaffiliated lenders on a deal, in the rest of the paper when we
refer to “N-lender deals” we count only the deal’s supervised unaffiliated lenders.
In the spring of each year, examiners from the three regulatory agencies select a sample
of loans from the entire SNC loan portfolio for review. This sample consists of the vast
majority of SNC loans during our period of study, and non-investment grade loans are most
likely to be sampled.8 Banks have a few weeks to update records for the selected loans before
the reviews begin in May. In addition, prior to 2004, the SNC Program included a re-review
of a small number of problematic loans in November of each year.9
During SNC reviews, an interagency team of two to three examiners thoroughly reviews
each sampled loan and then assigns it across five regulatory rating categories: pass, special
mention, substandard, doubtful, and loss. Following the rating process, banks are notified
7SNC Program description and guidelines dated May 5, 1998:https://www.occ.gov/news-issuances/bulletins/1998/bulletin-1998-21.html.
8For example, see 2014 SNC review report:http://www.federalreserve.gov/newsevents/press/bcreg/bcreg20141107a1.pdf. In more recent years, theProgram has selected less than 40% of the entire SNC portfolio for review (see, e.g., Gustafson, Ivanov,and Meisenzahl (2016)).
9More recently, in 2015, the SNC became a semi-annual review.
5
of the ratings (and may request clarifications or appeal the SNC rating decision). This
may alert lenders to loans or portfolios that require more active monitoring. Low ratings
from supervisors impose costs on lenders. Loans rated special mention are subject to closer
scrutiny by regulators in subsequent exams. Ratings of substandard, doubtful, and loss
increase required loan loss reserves and reduce supervisors’ measures of the banks’ asset
quality.10 The examiners’ ratings are then compared with the ratings that were assigned to
the loan by the lead bank in the syndicate using the same regulatory rating scale. If the
bank faces a large volume of downgrades, a matter-requiring-attention (MRA) or matter-
requireing-immediate-attention (MRIA) letter may be issued by the regulators requiring the
bank to undertake actions that could hamper profitability such as adopting more conservative
lending practices. The bank may also receive a lower CAMELS (or CAMEO) rating for poor
(risk) management practices (and lower asset quality). A low CAMELS rating subjects
banks to greater regulatory scrutiny and could even subject the bank to prompt corrective
actions (PCA) under the FDI Act.11
Bank assets not subject to SNC exams may still be examined either as part of an annual
review (at small and community banks) or as part of the ongoing supervisory process. Even
so, additional regulatory scrutiny by a team focused on examining large and complex deals
increases the probability that supervisors find deficiencies. Furthermore, these other non-
SNC reviews are generally more “top down” in nature and less likely to involve detailed
review of individual loans.12
2.2 Costs Associated with the SNC Program
This section provides a simple and rough estimate of the primary cost associated with the
SNC Program for the typical supervised US bank – the temporary loss of capital related to
10Federal Reserve commercial bank examination manual, Sec 2060.1 p1:http://www.federalreserve.gov/boarddocs/supmanual/cbem/cbem.pdf
11https://www.fdic.gov/regulations/laws/rules/2000-4500.html12In the late 1990s and the early 2000s, banks participating in the syndicated loan market were also
subject to “full scope” bank exams conducted by the FRS and the OCC. Our conversations with a formerSNC coordinator indicate that individual loans were not commonly scrutinized in these general exams.
6
increases in allowances for loan losses resulting from the review. Additionally, there are costs
related to administration of the SNC Program (i.e. compliance costs) and costs associated
with supervisory actions resulting from the review that may hamper banks’ profitability.
As further described in Appendix A, we use banks’ internal credit ratings as of May 1997
to estimate the increase in banks’ classified assets resulting from the May 1998 SNC review.
The increase in classified assets corresponds to an increase in supervisor’s expectations of
the banks’ loan losses. In response, banks generally increase their loss reserves, resulting in a
temporary reduction in capital. Greater increases in classified assets are generally predicted
for deals that were assigned worse ratings by the bank.13
Using these estimates of the increases in classified assets associated with the past SNC
review, we find that the median three-lender SNC deal in 1998 has an 11bp expected increase
in loan loss reserves in the following year’s review. For the 90th and 95th percentiles of such
deals, the expected increase is 48bp and 239bp respectively. To convert this into a cost to
the banks, we assume that loss reserve levels are impacted for two years and that banks’
marginal rate of return on equity capital was 10% in the late 1990s.14
With these assumptions, we calculate the expected cost of the SNC Program as the
product of the marginal return of equity capital, the expected increase in loan loss reserves,
and the number of years that loan loss reserves are impacted. We find that the expected cost
of SNC review works out to roughly 2bp for the median three-lender deal, or about 9bp and
45bp for deals at the 90th and 95th percentiles respectively. In dollar terms, the median,
90th, and 95th percentile of such costs for three-lender deal commitments would be roughly
$1,500, $22,000, and $55,000 respectively. Thus, while SNC may not represent much of the
total costs of intermediation on the typical deal, these costs could be significant for higher
risk deals.
13Facilities with the very worst assigned ratings are an exception, as the extent to which the supervisor’srating can be worse is limited.
14The average return on bank equity during this period was about 15%.See https://fred.stlouisfed.org/series/USROE
7
2.3 The 1999 Rule Change
Syndicated lending volume grew significantly through the 1990s despite limited supervi-
sory resources. Federal banking agencies became interested in reducing this growing burden
in a way that did not result in losing coverage of the largest syndicated deals. A compromise,
resulting from interagency discussions that began in mid-1996, was to restrict SNC report-
ing to only those deals syndicated between three or more supervised unaffiliated lenders.
Previously deals between two supervised lenders were also included in SNC reporting. This
change in coverage was an effective way to focus supervisory resources on the larger banks,
which hold larger and more complex deals. For example, in 1997, roughly 10 percent of the
banks where loan reviews were conducted held only two-lender syndicated deals while deals
at these banks accounted for just over 0.1 percent of syndicated lending commitments. A
final recommendation supporting the rule change was made by SNC program coordinators
and approved by senior officers at the Federal agencies at the end of January of 1998. The
change was only made public in May 1998, leaving banks about seven months to incorporate
the rule change before end-of-year syndicated deal holdings were reported for the 1999 SNC
review.15 The coverage change left the $20 million threshold for SNC inclusion unchanged.16
Figure 1 presents a timeline of the change in reporting requirements.
3 Sample Description
Our analyses are based primarily on a supervisory data set which includes the entire
SNC portfolio. These data span from 1993 through the present, but we restrict most of our
analysis to the years surrounding the change in SNC coverage, 1997 through 2001.17 SNC
15SNC Program description and guidelines date May 5, 1998:https://www.occ.gov/news-issuances/bulletins/1998/bulletin-1998-21.html
16It is difficult to use the $20 million deal amount theshold to study SNC avoidance as this thresholdhas not changed, and syndicated deal amounts tend to be concentrated heavily in increments of $5 or $10million.
17We include three years following the the change, but only two prior to the change, as credit ratingsassigned by lead banks are available only from 1997 onwards.
8
data include the identities and deal share for the full set of lenders on each deal including
the identity of each lender’s ultimate parent company and primary federal regulator (if any).
In addition, data include characteristics of each deal, such as loan facility utilization (if the
facility includes a credit line), maturity, purpose, the type of loan, the identity and industry
of the borrower, and the facility-level credit ratings assigned by both the lead bank and
the SNC examiners (whenever the loan is selected for SNC examination). For an additional
source of information on borrower credit quality, we merge in S&P long-term issuer ratings
from Compustat and CapitalIQ.
Table I provides statistics describing the set of deals in the SNC database from 1997
through 2001. Panel A shows the number of deals, borrowers, and lenders that are repre-
sented within the SNC. The number of unique borrowers increases by an average of about
five percent per year, excluding a sharp decline in 1999 which occurs primarily due to the
exclusion of borrowers that have only deals with two supervised lenders. In contrast, the
number of unique lenders increases by approximately 16% per year. This trend reflects the
entry of asset managers to the syndicated loan market. However, at no point in our sample
period does the share of aggregate commitments held by unsupervised lenders exceeds 10%.
Panel B of Table I provides characteristics of SNC deals over this time period. Total
commitment amount in the SNC increases from approximately $1.4 trillion in 1997 to $2.0
trillion in 2001. Prior to the change in SNC reporting requirements in 1998, the 10th and 90th
percentile of SNC deal size was $30 million and $500 million respectively. The median deal
size increases over the period primarily due to the exclusion of generally smaller two-lender
deals. The exclusion of two-lender deals also explains the decrease in the average share of
commitments held by syndicate leads from 1998 to 1999.
Throughout the period, almost all SNC lending is to domestic borrowers and is made
by lenders regulated by the Federal Reserve System (FRS) or Office of Comptroller of the
Currency (OCC). The share of lending by purpose is fairly stable over the sample period.
In contrast, the share of SNC deal commitments utilized increases significantly from about
9
29% in 1997 to 37% in 2001.
Panel C shows that default rates rose over our sample period. This aligns with a down-
ward trend in the credit quality of SNC borrowers, whether measured by classified assets (a
weighted proportion of assets classified as substandard, doubtful, or loss), the rate at which
SNC deals are downgraded by examiners, or imputed credit quality (described in the Ap-
pendix A). The standard deviation of imputed credit quality increases significantly as well,
reflecting a disproportionate increase in the share of poorly-rated SNC deals.
4 Identification Strategy
Lenders renegotiate, retire, and originate deals for many reasons. We isolate the impact
of supervision on lending by comparing two similar groups of syndicated deals, deals with
three and four supervised unaffiliated lenders (“three-lender” deals and “four-lender” deals),
that were unintentionally but differentially affected by the change in SNC coverage. The
change in coverage represented an opportunity to remove deals from SNC through changing
the number of lenders on the deal to two. We first establish that three- and four-lender deals
were similar prior to the change in SNC coverage. We next show that the (re)negotiation
required to make this change was far more feasible for three-lender deals than for deals with
four or more lenders. This was an unintended effect of the coverage change. This similarity
combined with the difference in opportunity to remove deals from SNC coverage, allows
us to identify the causal impact of the coverage change through a difference-in-differences
framework.
Table II provides summary statistics showing that three- and four-lender deals are similar
across a number of dimensions including credit quality, foreign exposure, supervision, and
maturity. Figure 2 provides a histogram of the size of two-, three-, and four-lender deals
prior to the rule change. Four-lender deals tend to be slightly larger, but Figure 2 shows that
there is still substantial overlap in size between three- and four-lender deals. The literature
10
has shown syndicate size to be related to not only diversification motives, but also the degree
of borrower informational asymmetry (Sufi (2007), Lee and Mullineaux (2004), Dennis and
Mullineaux (2000), Jones, Lang, and Nigro (2005), Ivashina (2009)) as well as credit and
liquidity risk (Gatev and Strahan (2009)). Therefore, several of our regression specifications
control for unobserved trends tied to deal size. In Section 5 we show that our results are
robust to this and other sets of controls that we introduce to weaken the strict assumption
that three and four-lender loan outcomes should follow parallel trends in the absence of the
change in SNC coverage.
The change in SNC coverage provides lenders with an opportunity to shield deals from
SNC to the extent that deals can be renegotiated as two-lender deals. Syndicated deals are
renegotiated frequently (see, e.g., Roberts and Sufi (2009), Roberts (2015), Denis and Wang
(2014)), and while a significant number of renegotiations are linked to covenant violations
(see, Smith and Warner (1979); Smith (1993)), the majority occur outside of technical default
and are intended to affect borrower financial flexibility or accomodate changes in borrower
investment opportunities (see, Roberts and Sufi (2009); Nini, Smith, and Sufi (2009); Gilson
and Warner (1998)). Renegotiations often involve a change in the lenders on a deal. For
example, 34% of the three-lender deals in 1997 that survived through 1998 experienced a
change in one or more of the lenders on the deal over the course of the year. We therefore
expect that the opportunity to affect the number of lenders exists for many deals. Further-
more, we expect that it is easier to negotiate a deal from three lenders to two than from
four lenders to two lenders. First, there is a higher coordination cost of structuring and
negotiating deals with larger syndicates (see, Lee and Mullineaux (2004)). Second, renego-
tiating a larger deal into one with two lenders requires taking on additional exposure for the
remaining lenders.
Empirically, the frequency of conversions suggests that it is easier to restructure three-
lender deals into two-lender deals than it is to convert four- or more lender deals into two-
lender deals. Panel A of Table III shows unconditional transition probabilities between
11
syndicates with different numbers of supervised lenders prior to the rule change. The rows
represent the syndicate’s size at time T and the columns represent the size of the same deals
in the following year, T + 1. Prior to the rule change, three-lender deals were approximately
four and a half times more likely than four-lender deals to be renegotiated into two-lender
deals.
In Panel B of Table III, we build on this result using an OLS regression of the prob-
ability of transitioning to a two-lender deal in the following year. We include indicators
for syndicate size in the current year in addition to numerous other deal characteristics.
This regression similarly shows that three-lender deals are significantly more likely to tran-
sition into two-lender deals than deals with greater numbers of lenders are. In addition, the
coefficient estimates of the control variables are largely consistent with expectations. For
example, larger deals are less likely to transition to two-lender deals, while maturing deals
(that usually require renegotiation) and deals where one or more supervised lenders have a
small deal share (which is easier to reallocate) are more likely to transition to two-lender
deals. However, the presence of only three lenders on the deal is by far the most significant
predictor of transitioning into a two lender deal.
Of course, some deals with more than three lenders can become two-lender deals. To the
extent this is true, our estimates capture only part of the full causal effects of the change
in SNC coverage. To capture the treatment effect more fully, Section 6 presents additional
tests in which we expand the “control” group to also include five-lender deals, which appear
yet more difficult to convert to two-lender deals. The tradeoff of including five-lender deals
in the control group is that these are less similar to three-lender deals.
12
5 Results
5.1 Program Coverage and Deal Renegotiation
By excluding two-lender deals from the Program, the change in SNC coverage gave lenders
a feasible opportunity to shield some three-lenders deals from review through deal renego-
tiation and origination. If lenders renegotiate a significant number of three-lender deals to
avoid the SNC, we should expect to see a relative decline in the population of three-lender
deals around the change in coverage.
The top panel of Figure 3 presents the difference between the year-over-year growth rate
of the number of three- and four-lender deals. The dashed line in the figure is negative for
1999 and 2000, indicating that three-lender deals grew at lower rates than four-lender deals
after the rule change. However, the dashed line is an imperfect measure of the actions banks
take to reduce their exposure to the SNC. For example, it could be that a large number of
three-lender deals become five-lender deals, and therefore remain in the SNC. In this case,
the growth rate of three-lender deals may be low, yet it does not reflect avoidance of the
SNC.
The solid line addresses this shortcoming by focusing only on the part of the growth rate
due to new deals and deals that exit the SNC three-plus lender population entirely. We
define SNC exit here and throughout this paper to indicate deals that leave the SNC pop-
ulation under the new coverage rules, either through deal termination or renegotiation into
a deal with fewer than three lenders. We define “exit” in this way in order to be sure that
we measure changes in lending activity rather than changes in a definition.18 The difference
in the one-year-ahead growth rate of three- and four-lender deals due to new deals and deal
exits is approximately negative five percentage points in both 1999 and 2000. This suggests
that in aggregate, lending shifts out of the SNC in response to the change in coverage. There
does not appear to be a big difference in deal growth rates prior to 1999, consistent with the
18If we instead defined exit to mean that the deal no longer appeared in the SNC in the following year,then the exit rate on three-lender deals would rise mechanically following the change in coverage.
13
unexpected nature of the rule change.
The bottom panel of Figure 3 provides the difference in three- and four-lender deal growth
driven by new deals and exit rates separately. For example, in the first year after the rule
change, a lower origination rate for three-lender deals accounted for about a four percentage
point decline in the growth rate of three-lender deals relative to four-lender deals, whereas
a greater exit rate for three-lender deals accounts for about two percentage points of the
difference. This pattern changes in the following two years, when the slower growth rate of
the number of three-lender deals comes primarily from higher exit rates of three-lender deals.
The faster response of originations could relate to lenders’ greater flexibility in determining
terms at origination.
We next estimate difference-in-differences regressions comparing SNC exit rates across
three- and four-lender deals before and after the change in SNC coverage. Since it may take
time for lending to adapt to the coverage change, we use 1999 through 2001 as the “after”
period and 1997 and 1998 as the “before” period. We cluster the standard errors by lead
bank, which generally expands our confidence intervals. This accounts for arbitrary correla-
tions in the variables within deals originated by the same lead lender, which may specialize
in certain types of syndicated lending.
Table IV provides results for our SNC exit regressions. Column (1) includes only the
set of difference-in-differences variables — indicators for the “after” period, the “treated”
three-member deals, and the interaction of these two variables. Identification here requires
that three- and four-lender deal exit rates would have changed by the same amount if not for
the change in SNC coverage. The estimated coefficient on the interaction term in column (1)
shows that the difference between the exit rate of three and four-lender SNC deals increased
by about four percentage points after SNC program coverage changed (p-value of about
0.07). These exits generally reflect credit leaving the SNC program, as opposed to credit
shuffling around within the SNC program.19 Given that the total amount of three-lender
19For 88 percent of borrowers over the period 1999 through 2001, the exiting three lender deal was theironly SNC deal. Over 83 percent of such borrowers had no deals in SNC in the following year.
14
commitments was $96 billion in 1998, we estimate that approximately $4 billion per year
in three-lender commitments exited the SNC program in the years following the change in
reporting requirements.
The top panel of Figure 4 illustrates the data behind this basic difference-in-differences
specification. Exit rates for four-lender deals (as well as for larger deals) tend to decline
following the change in SNC coverage, while exit rates for three-lender deals do not follow
in this decline. As in Figure 3, elevated three-lender deal exit rates appear primarily in the
second year following the change in SNC coverage, which is the first full year that lenders
have to respond to the change in SNC coverage.
The remaining columns in Table IV address concerns that differences in deal exit rates
could be driven by factors affecting renegotiations other than the rule change (see, Roberts
and Sufi (2009); Roberts (2015)). In column (2), we include splines to control for deal ma-
turity and size. We view these as the potentially most critical controls, as deal exit should
clearly be driven by deal maturity, and deal size is the only deal characteristic that arguably
differs significantly between three and four-lender deals. In column (3), we interact the ma-
turity and deal size variables with the “after” indicator to control for possible trends in exit
rates associated with either of these variables. Column (4) adds controls for the minimum
deal share held by a supervised participant and the share of the deal held by non-banks,
both of which may relate to how easily a deal can be removed from SNC reporting.20 In
addition, we include the share of the deal held by the lead bank, the deal utilization rate,
credit quality, origination year, purpose and deal type, and the borrower’s industry. Column
(5) adds a lead bank fixed effect, which is also interacted with the “after” dummy. This
final specification controls for differences in the level or trend in exit rates across different
lead banks. This could be an important control if, for example, banks that disproportion-
ately held three lender deals were leaving the syndicated lending market over this period.
20If one lender has a small share of deal, other lenders need not bear much additional risk in the transitionto a two-lender deal. Similarly, if non-banks have a significant share of the deal, there may be a larger bodyof lenders willing to hold the share originally allocated to one of the supervised lenders.
15
Appendix A describes all of our variables in greater detail.
Across our specifications, our estimates indicate that the difference between the exit rate
of three- and four-lender SNC deals increased by about four to five percentage points after the
change. The stability of our estimates across varying set of controls gives us some confidence
that our results are not driven by omitted variation. Assuming that few four-lender deals
were renegotiated as two-lender deals, this result implies that banks responded to the rule
change by renegotiating or terminating about four to five percent of three-lender deals per
year. While this may not represent a large fraction of three-lender deals, some three-lender
deals may be difficult to renegotiate in a short time frame and, importantly, the incentive to
shield deals from SNC may not be uniformly strong for all lenders or deals.
The incentive to shield deals that were previously rated “non pass” from the SNC Pro-
gram may be significantly greater than the incentive to shield “pass” rated deals. Downgrades
applied to non-pass deals result in disproportionate reductions in the bank’s asset quality
measures and increases in loss reserves, and these deals are the most likely to receive heavy
scrutiny. In Table V, we repeat the regression in column (5) of Table IV separately for the
population of pass and non-pass deals. Within the population of non-pass deals, which rep-
resent roughly 10% of all deals, we find that three-lender deal exit rates increase by almost
17 percentage points, as compared to only about 4 percentage points for pass rated deals.
The disproportionate exit of lower quality three-lender deals affects the credit quality
of syndicated deals reviewed in the SNC Program. We now further explore the impact of
the coverage change on deal quality before studying how the coverage change affected the
lending of different types of lenders.
5.2 Program Coverage and Deal Quality
The SNC review frequently results in downgrades of banks’ loan risk ratings (see Ivanov
and Wang (2017)). Downgrades lead to potential increases in loan loss reserves and reduc-
tions in capital, and occur more frequently for lower credit quality deals. In addition, the
16
CAMELS ratings of banks that have a high fraction of low quality deals or downgrades may
suffer. Therefore, as suggested by Table V, lenders might focus efforts on keeping lower
quality deals out of the SNC Program. Since renegotiation or origination of deals outside
of SNC is most feasible for would be three-lender deals, we expect that the relative credit
quality of three-lender deals in the Program to rise after the change in coverage.
The middle and bottom panels of Figure 4 show a very simple test of this hypothesis.
The middle panel shows that even though the share of three-lender deals with pass ratings
is similar to that of four-lender deals in 1998, it is about three to four percentage points
higher after the change in coverage.21 The bottom panel shows that four-lender deals had
(imputed) credit quality about one quarter of a rating notch better than three-lender deals
prior to the coverage change. However, after the change, three-lender deals improved in
quality and had higher resulting credit quality.22
Table VI compares the credit quality of SNC deals using four different measures of credit
quality. All four regressions use controls similar to those in column (5) of Table IV, although
without controls for deal quality. In column (1), our dependent variable is a dummy variable
equal to one where the deal is assigned a Pass SNC rating. We find that three-lender deals
are 2.3 percentage points more likely to have a Pass SNC rating after the rule change. Sim-
ilarly, column (2) of our regression results indicate that the credit quality of the three-lender
deal population improved by about a third of a rating notch in terms of imputed S&P credit
ratings. In columns (3) and (4), our dependent variables are estimates of the increase in the
classified asset share (which drives loan loss reserves) and probability of loan downgrade.23
These represent expected costs associated with the examination of deals of different credit
quality. Consistent with previous results, we find that the expected increases in classified
asset share and the probability of loan downgrades also decrease for three-lender deals rela-
tive to four lender deals after the coverage change. Expected increases in loan loss reserves
21Over the period 1993 through 1996, the share of three and four lender deals rated pass is very similar;1997, where three-lender deals have a significantly higher pass share, is an outlier relative to previous years.
22Section 7 provides a description of imputed credit quality and our other variables.23These estimates are calibrated with pre-1998 data and described further in Appendix A.
17
on three-lender loans decline by about 13bp relative to a cross-sectional mean of 37bp, and
the probability of exam downgrade declines by about 56bp relative to a cross-sectional mean
of 2.8%. Similar to Table IV, these results do not change significantly when we reduce the
set of control variables.
5.3 Deal Renegotiation by Lender Type
The benefits of supervisory oversight and the costs associated with the SNC Program
vary across lenders. In this section of our analysis, we sort deals into groups with lenders
that are differently motivated to removing deals from the SNC.
In our sample, an average of about 40% of a syndicated deal is held by foreign lenders.
It is not clear that these lenders face similar consequences of SNC examination. While the
Foreign Bank Supervision Enhancement Act of 1991 has made on-going supervision activities
such as full scope on-site bank exams more uniform between foreign and domestic institu-
tions,24 the costs of supervision programs are usually determined at the parent-company
level.25 This means that the cost of US oversight to foreign banks may be determined pri-
marily by their primary home regulator.
In Panel A of Table VII, we partition our sample by the fraction of the deal held by
domestic institutions using three thresholds (33%, 50%, and 66%). Within each partition,
we estimate our SNC exit regressions from column (5) of Table IV, which include our full
set of control variables. Only three-lender deals held mostly by domestic lenders experience
higher exit rates after the change in reporting requirements. We find no evidence of SNC
avoidance within deals held primarily by foreign lenders. Due to this result, we focus the
remainder of this section on those deals held only by US lenders.
Next, we look at whether deals dominated by larger SNC lenders are more likely to be
strategically renegotiated to avoid SNC. Smaller lenders, with less in-house credit risk ex-
24See https://fraser.stlouisfed.org/files/docs/publications/FRB/pages/1990-1994/33097 1990-1994.pdf25http://www.nortonrosefulbright.com/knowledge/technical-resources/banking-reform/supervision-of-
international-bank-branches—a-global-analysis/united-states.
18
pertise, may benefit more from the supervisory expertise offered through the review of loans.
In addition, for small SNC lenders, the aggregate costs imposed by the SNC Program may
not be large enough to warrant attention or strategic action.26
Panel B of Table VII presents our difference-in-differences specification from column (5)
of Table IV separately for deals in which more or less than half of the deal is held by super-
vised participants with more than either $10, $15, or $20 billion in SNC assets. We show
that the impact of the coverage change is positive and significant for deals held primarily by
institutions with more than $10 billion in SNC assets and virtually zero for those deals held
primarily by smaller SNC lenders. Our estimates are similar when defining large lenders
as those having more than $15 billion in SNC, but above that threshold, additional size
does not appear to matter. As only around two percent of US lenders have more than $10
billion in SNC commitments, yet represent the majority of US lenders’ commitments for the
majority of deals, these results suggest that strategic renegotiations are driven by a small
minority of lenders.
Finally, we look at whether deals dominated by highly leveraged SNC lenders are more
likely to be strategically renegotiated. Leveraged institutions may face greater supervisory
scrutiny and may be closer to binding capital requirements or adverse supervisory actions
such as MRA or MRIAs. Panel C of Table VII runs our difference-in-differences specification
from column (5) of Table IV over sets of deals held by more and less leveraged supervised
institutions. The impact on the exit rate of three-lender deals appears to decrease monoton-
ically as bank leverage falls (and leverage ratio rises). However, given that larger institutions
typically operate closer to the regulatory limits of capital ratios, it is difficult to separate
the effect of size and leverage.27
26For example, imagine a lender has a $1 billion SNC portfolio. Perhaps $10 to $50 million of this exposurecould be renegotiated to avoid SNC review, as it is not feasible to renegotiate most of the portfolio into two-lender deals. Of this amount, the expected increase in loan loss reserves resulting from the exam might beabout one percent, reducing capital by perhaps two years earlier than otherwise, and forgoing a 10% returnon equity. This lender’s maximum benefit would be approximately $10 to $50 million x 0.01 x 2 x 0.1 =$20,000 to $100,000, which may not be large enough to be a priority for the institution.
27In addition, the larger and more leveraged lenders could be the ones with greater exposure to the Russianfinancial crisis of 1998 as described in Chava and Purnandam (2011).
19
Table VII illustrates that deals held mostly by larger, leveraged, US lenders dispropor-
tionately leave SNC. Large lenders dominate the syndicated lending market, explaining why
the overall impact of the coverage change is to reduce SNC coverage, particularly for lower
quality deals. However, small lenders may prefer to remain in the SNC Program. Syndi-
cate lead lenders have little incentive to offer high quality deal participations to small banks,
which have limited capacity to participate in deals and thereby generate revenue for the lead.
Therefore, small banks’ relatively limited credit risk expertise puts them at a disadvantage.
Supervisory oversight reduces this informational asymmetry by providing small banks access
to credit risk experts who observe the entire syndicated loan market.
We cannot learn about very small lenders’ incentives by studying deal outcomes as few
SNC deals are majority held by small lenders. Instead, we look at how syndicated lending
activity shifts at the lender level. Lenders who wish to maintain their involvement with SNC
need to shift their syndicated lending from two-lender to three-plus lender deals after the
change in coverage. We cannot directly observe this shift, as we do not observe two-lender
deals after the change. However, if lenders attempt to shift from two to three-plus lender
deals, then we expect that the number of two-lender deals in 1998 should help predict three-
plus lender deals in 1999.
In Table VIII we test this by running a Feasible GLS regression of the number of (three-
plus lender) SNC deals held by each US bank in 1999 on the number of three-plus lender
SNC deals held by the bank in 1998 as well as the number of two-lender SNC deals held by
the bank in 1998.28 We interact the number of two-lender deals in 1998 with a dummy for
large SNC lenders (more than $10 billion in aggregate SNC deals in 1998) to allow large and
small lenders to engage differently in this deal shifting.
The results of this lender level regression are in Table VIII. For small banks, each
additional two-lender deal held before the coverage change predicts roughly an additional
28Residuals are far larger in magnitude for larger lenders, so we address the extreme heteroskedasticity byusing Feasible GLS instead of OLS, where results are driven almost entirely by the largest few lenders. FGLSresults in much lower regression weights for large syndicated lenders, but does not assign disproportionatelylarge weights to any set of lenders.
20
three-plus lender SNC deal after the coverage change; the coefficient of interest is insignif-
icantly different from one. This test supports the idea that small lenders might in general
prefer to have supervisory review of their syndicated lending. In contrast, for larger lenders,
having more two-lender deals in 1998 does not predict having less/greater three-lender deals
in 1999.
6 Robustness
6.1 Alternative Control Group
As discussed in Section 4, our difference-in-differences analysis uses four-lender deals as a
control group. We implicitly assume that lenders are unable to renegotiate four-lender deals
into two (or fewer) lender deals. To the extent that four-lender deals are renegotiable, and
thus “partially treated,” we underestimate the full impact of the change in SNC coverage. In
fact, Table III shows that even prior to the rule change four-lender deals transition to two-
lender deals with some small probability. To reduce any understatement of the treatment
effect, we run our a version of our regressions with five-lender deals included in the control
group. The drawback of this test is that five-lender deals are less similar to three-lender
deals, reducing our comfort in the parallel trends assumption underlying the difference-in-
differences estimation.
Specifically, column (1) of Table IX replicates the exit results from column (5) of Table
IV with the alternative definition of the control group. We estimate a very similar impact to
the one we found previously — a four percentage points increase in exit rates for three-lender
deals following the change in reporting requirements. Similarly, in columns (2) through (5)
of Table IX, we replicate the results of Table VI using the alternative control group and
find similar results. These findings are consistent with a treatment effect, specifically deal
renegotiation activity, that is concentrated in the population of three-lender deals.
21
6.2 Additional Controls for Deal Opacity
Borrower opacity increases the cost of gathering the information desired before entering
into a lending relationship. Therefore, we might expect greater opacity for deals with fewer
lenders. If, in addition, banks reduced their exposure to opaque borrowers as economic
conditions weakened, then lending trends related to deal opacity might offer an alternative
explanation for our findings. To address this concern, we adapt our regression to allow for
deals with different levels of opacity to experience different trends in deal exit rates and
quality. Following the literature (Sufi (2007)), we use both the share of the deal held by the
lead bank and an indicator variable for public status as our measures of opacity.29
Column (1) of Table X shows results from our set of SNC exit regressions using the
additional controls for deal opacity. Coefficients on the interactions of lead share and public
suggest that trends in SNC exit rates are not related to deal opacity over our sample period.
Similary, our estimates of SNC avoidance, based on the relative increase in the exit rate of
three-lender deals, change little from Table IV. However, the statistical significance of the
estimates weakens, as lead share is systematically higher for three-lender deals.
Columns (2) through (5) of Table X adds these controls for deal opacity to the regressions
of deal quality measures from Table VI. As above, trends in deal quality over our sample
period are not significantly related to deal opacity, and we find a similar improvement in the
relative quality of three-lender deals.
7 Concluding Remarks
This paper studies banks’ response to a change in coverage of the primary supervisory
program (SNC) overseeing the syndicated loan market. We use a difference-in-differences
approach that relies on comparing three-lender deals – more “easily” renegotiated into two-
lender deals – with otherwise similar four-lender deals. On average, we find evidence that
29About 30% of deals in our sample are extended to public firms.
22
syndicated lending shifts out of the SNC as a result of the coverage change due to avoidance
incentives. Surviving three-lender deals are of higher quality, implying that the incentive to
avoid supervision is stronger for riskier deals where the potential costs of regulatory review
are greatest. We also show that avoidance is concentrated among deals held by larger, more
leveraged domestic lenders that may have higher SNC Program costs.
We also find evidence consistent with banks perceiving net benefits from supervision.
Smaller banks, with less sophisticated internal risk management practices and facing greater
informational asymmetries on syndicates with larger leads, shift their lending to remain
within the SNC. Our results are robust to a battery of additional tests including alternative
control samples, alternative measures of credit risk, and several sets of control variables.
Our research informs the design of supervisory programs, suggesting that banks do use
coverage criteria to shield risky practices from oversight. These results suggest benefits
of continued regulatory disclosure. Specifically, continued reporting of two lender deals
to supervisors could have disciplined banks’ renegotiations of syndicated deals. We also
highlight supervision’s role in mitigating informational asymmetries that may exist between
lenders. Our results suggest that this aspect of supervision is seen as beneficial by smaller
lenders.
23
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Appendix A - Variable Definitions
Lead Share is the share of the deal amount that is held by the lead bank(s) on the deal
syndicate. The lead bank is defined at the parent company level.
Min Share is the share of the deal amount that is held by the supervised topholder with
the smallest deal participation.
Nonbank Share is the share of the deal amount that is held by non-bank investors.
Deal Size Splines are cubic splines constructed from the deal commitment dollar amount
(in millions of USD).
Maturity Splines are cubic splines constructed from deal maturity (in months).
Utilization Ratio is the deal amount that has been utilized by the borrower divided by
the total deal commitment amount. This variable takes the value of one for deals with only
term loans.
Loan Type Shares is the share of each deal composed by term loans, revolvers, or other
loans.
Loan Purpose Shares is the share of each deal issued for working capital, refinanc-
ing/debt consolidation, or acquisition purposes.
Pass Rating is a dummy equal to one where the deal is rated 100% pass according to
the supervisory rating scale (see below).
Supervisory Rating Scale: This is a five grade scale defined as follows from best to
worst rating: 1) Pass—a loan facility defined to be in a good credit standing, 2) Special
Mention—a loan facility with some credit weaknesses that could result in deterioration of
loan repayment prospects, 3) Substandard—a loan facility with well-defined credit weak-
nesses that could result in some losses for the bank if these weaknesses are not corrected,
4) Doubtful—a loan facility with the problems described in the Substandard category with
additional deficiencies that make successful collection highly unlikely, and 5) Loss—a loan
facility that is considered non-collectable and should be charged-off. Both lead banks and
SNC examiners allocate deals across these five ratings, with weights across these categories
26
always adding up to one for each deal (e.g. a deal may be rated 80% pass, 10% special
mention, and 10% substandard).
SNCRatings: This is the rating distribution assigned to each deal by the set of three
SNC examiners under the supervisory rating scale (see above). Deals with positive allocation
to grades below special mention are sometimes referred to as criticized.
Lead Bank Internal Credit Ratings Categories: these are deal-level indicators for the
internal credit ratings grade a lead banks has assigned to a given deals under the internal
rating system of the respective lead bank.
Imputed Credit Quality: We convert external agency ratings from Standard and Poor’s
to a cardinal scale ranging from 0 (Default) to 21 (AAA). The imputed credit quality equals
the average Standard and Poor’s cardinal rating assigned to deals with the same lead bank
and lead bank internal rating (see above). For example, suppose that 50% of deals with
a rating of “4+” from lead bank X have contemporaneous Standard and Poor’s ratings as
follows: 20% A- (16), 20% BBB+ (15), and 10% BBB (14). Then, the imputed credit quality
for grade “4+” at bank X equals (20%∗16+20%∗15+10%∗14)/(20%+20%+10%) = 15.2.
Estimated Incr Reserves: Supervisory expectations for loan loss reserves are based on
examiners’ ratings and are required to be at least 100% of the deal amount rated loss, plus
50% of the amount rated doubtful, and 20% of the amount rated substandard (i.e. the
classified share of the asset). When examiner supervisory ratings are lower than the lead
banks’ internal ratings mapped to the supervisory scale, then increased loan loss reserves
typically result. We run a regression to predict the increase in loss reserves that result from
the 1997 SNC exam, using lead banks’ ratings (on the supervisory scale), plus a fixed effect
for the lead bank and external rating (or just lead bank if the rating appears for fewer than
100 deals). The fitted value of this regression is our estimate of write-downs that will result
from future SNC exams.
Probability of Downgrade: A deal is considered downgraded if at least some portion of
the deal receives a lower examiner rating (on the supervisory rating scale) than lead bank
27
rating (also on the supervisory rating scale). We run a regression to predict the probability of
downgrade in the 1997 SNC exam, using lead banks’ ratings (on the supervisory scale), plus
a fixed effect for the lead bank and external rating (or just lead bank if the rating appears
for fewer than 100 deals). The fitted value of this regression is our estimated probability of
downgrade in future SNC exams.
Lead Bank Fixed Effects: these are indicators for the different lead banks in our sam-
ple defined at the top holder level.
Industry Groups: these are borrower-level deal shares associated with each of the 24
industry groups defined in the SNC collection. In almost all cases each borrower is defined
by lead banks to belong to a single industry, and the industry deal share equals either zero
or one. In the rare case of different leads on the deal reporting the borrower to belong to
different industries, we define a fraction of the deal to belong to each industry (proportional
to the share of the deal that each lead bank has agented).
Y ear F ixed Effects: these are indicators for the year of each deal observation.
Origination Y ear F ixed Effects: these are indicators for the year of deal origination
for each deal observation.
28
Janu
ary
1999
—Su
mm
ary
info
r-m
aon
on
elig
ible
synd
icat
ed
deal
s in
agen
t ban
ks’ p
orol
io a
t th
e en
d of
the
year
are
subm
ied
to
supe
rviso
rs.
May
199
8—Su
perv
isors
no
fy
bank
s of c
hang
es to
the
elig
ibili
ty
crite
ria in
the
1999
SN
C ex
am .
Also
, 199
8 SN
C ex
am st
arts
.
Mid
Apr
il to
Ear
ly M
ay 1
999—
Bank
s pro
vide
cur
rent
info
r-m
aon
on
sele
cted
dea
ls.
Late
Mar
ch/E
arly
Apr
il 19
99—
Supe
rviso
rs re
ques
t det
aile
d in
for-
ma
on o
n de
als s
elec
ted
for r
evie
w
in th
e 19
99 S
NC
exam
.
Early
May
19
99—
1999
SN
C ex
am
star
ts.
Augu
st 1
998
Febr
uary
199
9 N
ovem
ber 1
998
Fig
ure
1:
Tim
elin
eof
Ru
leC
han
ge
Th
isti
mel
ine
rela
tes
ann
oun
cem
ents
ofth
ech
ange
inS
NC
rep
ort
ing
requ
irem
ents
toth
e1998
and
1999
SN
Cex
amsc
hed
ule
.
29
0.0
1.0
2.0
3
20 80 140 200Deal Size ($ millions)
Two lenders Three lendersFour lenders
Figure 2: Deal Size Densities This figure separately plots the kernel density of the size (thetotal committed dollar amount) of two, three, and four lender deals in the 1998 SNC. Deals below$20 million in total commitments are not part of SNC.
30
SNC coveragechanges
-.1-.0
50
.05
.1D
iffer
ence
in th
ree
and
four
lend
er d
eal g
row
th
1997 1998 1999 2000 2001
Total New and exiting deals
SNC coveragechanges
-.08
-.06
-.04
-.02
0.0
2D
iffer
ence
in th
ree
and
four
lend
er d
eal g
row
th
1997 1998 1999 2000 2001
New and exiting deals New dealsExiting deals
Figure 3: Difference in Three- and Four-Lender Deal Growth. This top plot shows thedifference in growth rates of the number of three- and four-lender deals. The solid line capturesonly the part of the difference in growth rates that is due to new SNC deals or exiting SNC deals(i.e. ignores deal growth due to changes in the number of lenders on deals remaining within SNC).This bottom plot decomposes this into the difference in growth rates attributed separately to newSNC deals and exiting SNC deals. Series in the bottom plot are de-meaned by their average overthe 1997-1998 (i.e. pre-reporting requirement change) period.
31
SNC coveragechanges
.3.3
5.4
.45
Dea
l exi
t rat
e
1997 1998 1999 2000 2001
Three-lender deals Four-lender deals
(a) SNC Deal Exit Rate
SNC coveragechanges
.8.8
5.9
.95
Pass
Rat
ed S
hare
1997 1998 1999 2000 2001
(b) Share Pass Rated
SNC coveragechanges
11.5
1212
.513
Impu
ted
Cred
it Q
ualit
y
1997 1998 1999 2000 2001
(c) Imputed Credit Quality
Figure 4: Trends in Outcomes for Three- and Four-Lender Deals. The top, middle, andbottom plots show the exit rates, pass rated share, and imputed credit quality rating respectively ofthree- and four-lender SNC deals over the period 1997 through 2001. The dotted lines in each plotindicate the average of the given variable before and after the change in SNC Program coverage.
32
Table I: Summary Statistics This table presents yearly statistics on the number of lenders anddeals by number of (supervised) lenders (Panel A), deal characteristics (Panel B), and credit quality(Panel C).
Panel A: Number of Lenders
1997 1998 1999 2000 2001
Number of
Two (supervised) lender deals 1,486 1,631
Three ... 1,137 1,193 1,178 1,173 1,186
Four ... 773 818 834 888 893
Five ... 588 639 687 700 709
Six+ ... 2,655 3,076 3,317 3,568 3,564
Borrowers 5,873 6,506 5,365 5,610 5,643
Lenders 1,084 1,321 1,541 1,991 1,977
Supervised lenders 707 782 784 1,014 935
Panel B: Deal Characteristics
1997 1998 1999 2000 2001
Total commitments ($ billions) 1,425 1,724 1,806 1,932 2,033
Median deal size ($ millions) 83 92 125 130 134
10th percentile 29 30 40 41 40
90th percentile 430 500 600 650 650
Share of Commitments Held by
Syndicate leads 0.177 0.17 0.145 0.141 0.146
Domestic entities 0.477 0.508 0.524 0.541 0.538
Supervised entities 0.967 0.952 0.937 0.914 0.903
FRS supervised entities 0.609 0.561 0.538 0.514 0.514
OCC supervised entities 0.336 0.367 0.376 0.374 0.361
Share of Commitments
Utilized 0.294 0.322 0.343 0.359 0.373
Exiting SNC 0.347 0.347 0.286 0.308 0.297
Maturing in exam year 0.142 0.135 0.133 0.153 0.174
To US borrowers 0.98 0.968 0.958 0.956 0.955
Borrowed for working capital 0.406 0.413 0.415 0.43 0.404
Borrowed for financing 0.139 0.147 0.154 0.151 0.139
Borrowed for acquisitions 0.019 0.017 0.015 0.012 0.011
Panel C: Credit Quality and Conditions
1997 1998 1999 2000 2001
Moody’s default rate 0.009 0.016 0.028 0.037 0.051
Classified asset share 0.004 0.003 0.005 0.01 0.018
Share downgraded in SNC 0.01 0.014 0.021 0.027 0.038
Average imputed credit quality (2) 14.184 13.938 14.118 13.934 13.722
StDev imputed credit quality 2.981 2.949 3.229 3.349 3.449
33
Table II: Summary Statistics by Number of Supervised Lenders Sharing the Deal(1998 SNC exam). This table presents summary statistics similar to Table I, by the number ofsupervised lenders on the deal. Data covers deals in the 1998 SNC exam, the year immediatelybefore the change in SNC reporting requirements became effective.
Two Three Four Five Six+Number of
Deals 1,631 1,193 818 639 3,076Borrowers 1,551 1,156 790 618 2,743Lenders 358 381 378 395 1,133Supervised lenders 214 228 240 229 696
Total commitments ($ billions) 96 84 82 80 1,381Median deal size ($ millions) 40 51 70 99 22710th percentile 23 28 30 42 7590th percentile 100 125 155 200 1000Share of Commitments Held by
Syndicate leads 0.569 0.418 0.35 0.298 0.109Domestic entities 0.581 0.606 0.602 0.598 0.486Supervised entities 0.935 0.939 0.95 0.932 0.955FRS supervised entities 0.476 0.469 0.486 0.488 0.581OCC supervised entities 0.434 0.443 0.447 0.424 0.35Other supervised entities 0.025 0.028 0.018 0.02 0.023
Share of CommitmentsUtilized 0.448 0.486 0.404 0.42 0.292Exiting SNC 0.38 0.361 0.33 0.332Maturing in exam year 0.175 0.139 0.16 0.125 0.107Older than five years 0.151 0.159 0.123 0.154 0.084To US borrowers 0.953 0.961 0.952 0.974 0.97Borrowed for working capital 0.506 0.541 0.446 0.475 0.393Borrowed for financing 0.157 0.17 0.272 0.187 0.135Borrowed for acquisitions 0.068 0.044 0.033 0.053 0.009
Credit Quality and ConditionsClassified asset share 0.006 0.007 0.008 0.006 0.003Share downgraded in SNC 0.03 0.027 0.032 0.021 0.01Average imputed credit quality 13.037 12.979 12.900 13.270 14.137StDev imputed credit quality 3.275 3.065 3.243 3.085 2.858
34
Table III: Transitions Between the Number of (Supervised) Lenders, 1993-1997. PanelA of this table shows unconditional transition probabilities between syndicates with different num-bers of supervised lenders prior to the rule change. The rows represent the number of supervisedlenders at time T and the columns represent the number of supervised lenders for the same dealsin the following year, T + 1. In Panel B, we estimate an OLS regression of the probability oftransitioning to a two-lender deal in the following year (using sample from 1993 to 1997). Theregression includes indicators for the previous number of supervised lenders, and accounts for ahost of controls and fixed effects. All variables are defined in Appendix A. Standard errors arepresented in parentheses and statistical significance is denoted as follows: *p < 0.10, **p < 0.05,***p < 0.01.
Panel A: Lender Size
Lenders at T + 1
N 2 3 4 5 6+ Exit
Len
der
sat
T
2 1,323 0.5803 0.0462 0.0148 0.0057 0.0071 0.34583 1,035 0.0458 0.5623 0.0433 0.0162 0.0174 0.31494 728 0.0099 0.0583 0.5517 0.0451 0.0300 0.30515 511 0.0039 0.0153 0.0725 0.5131 0.0854 0.3098
Panel B: Lender Size
Transition to Two
Coeff. SEThree Lenders 0.079*** (0.006)Four Lenders 0.016*** (0.005)Five Lenders 0.002 (0.005)Log(Additional Lenders) −0.004 (0.003)Matures in Exam Y ear 0.012*** (0.004)Maturity −0.000 (0.000)Log(Deal Size) −0.005*** (0.002)Lead Share −0.003 (0.012)Min Share −0.174*** (0.027)Nonbank Share 0.001 (0.016)Utilization Ratio −0.008** (0.003)
Adjusted R-Squared 0.042Observations 15,263SNC Ratings Y ESDeal Purpose & Type FE Y ESIndustry FE Y ES
35
Table IV: Main Results: Deal Exit Each column represents coefficients from an OLS regressionof deal exit (defined as termination or transition to fewer than three lenders) on the indicatedvariables. Specification (1) contains the minimal set of variables required for difference-in-differencesidentification, while columns to the right incrementally introduce control variables. All variablesare defined in Appendix A. Standard errors are clustered at the lead bank level, and presented inparentheses. Statistical significance is denoted as follows: *p < 0.10, **p < 0.05, ***p < 0.01.
Deal Exit
(1) (2) (3) (4) (5)Treated (Three Lender) 0.028 0.004 0.002 0.026 0.018
(0.019) (0.019) (0.019) (0.021) (0.022)Treated X After 1998 0.042* 0.044* 0.045** 0.049** 0.050**
(0.023) (0.022) (0.023) (0.022) (0.022)Matures in Exam Y ear 0.169*** 0.125*** 0.055** 0.063***
(0.016) (0.022) (0.024) (0.024)Matures... X After 1998 0.072** 0.075** 0.070**
(0.032) (0.030) (0.030)Lead Share −0.080 −0.029
(0.064) (0.067)Min Share −0.249*** −0.170*
(0.088) (0.101)Nonbank Share 0.158*** 0.133**
(0.054) (0.063)Utilization Ratio 0.015 0.005
(0.016) (0.017)
Adjusted R-Squared 0.004 0.039 0.040 0.068 0.090Observations 9,811 9,811 9,811 9,811 9,811Year FE YES YES YES YES YESDeal Size & Maturity Splines NO YES YES YES YES...Interacted with After Dummy NO NO YES YES YESSNC Ratings NO NO NO YES YESOrigination Year FE NO NO NO YES YESDeal Purpose & Type FE NO NO NO YES YESIndustry FE NO NO NO YES YESLead Bank FE NO NO NO NO YES...Interacted with After Dummy NO NO NO NO YES
36
Table V: Deal Exit: For Pass and Non-Pass Deals Each column represents coefficients froman OLS regression of deal exit (defined as termination or transition to fewer than three lenders) onthe same control variables used in column (5) of Table IV. Column (1) restricts the sample to dealsrated “pass” in the previous SNC review, while column (2) instead uses the sample of “non-pass”rated SNC deals. All variables are defined in Appendix A. Standard errors are clustered at the leadbank level, and presented in parentheses. Statistical significance is denoted as follows: *p < 0.10,**p < 0.05, ***p < 0.01.
Deal Exit
(1) (2)Pass Non-pass
Treated (Three Lender) 0.022 −0.084(0.024) (0.076)
Treated X After 1998 0.041* 0.168**(0.023) (0.080)
Matures in Exam Y ear 0.066** 0.069(0.028) (0.077)
Matures... X After 1998 0.075** −0.034(0.031) (0.100)
Lead Share −0.023 0.122(0.073) (0.200)
Min Share −0.164 0.449(0.109) (0.438)
Non−bank Share 0.167** 0.174(0.067) (0.173)
Nonbank Share 0.001 −0.058(0.017) (0.093)
Adjusted R-Squared 0.080 0.150Observations 8,977 834Year FE YES YESDeal Size & Maturity Splines YES YES...Interacted with After Dummy YES YESSNC Ratings YES YESOrigination Year FE YES YESDeal Purpose & Type FE YES YESIndustry FE YES YESLead Bank FE YES YES...Interacted with After Dummy YES YES
37
Table VI: Main Results: Deal Quality This table estimates regressions of measures of dealquality on the variables indicated in the table and controls. The measures of deal quality are (1)whether the deal has a pass rating (PassRating) (2) the imputed (cardinal) external credit ratingof the borrower (ImpQual), (3) the estimated increase in loss reserves resulting from the examtimes 100 (E(IncrReserves)), and (4) the estimated probability that the examiner downgradesthe deal times 100 (Prob(Downgrade)). All variables are defined in Appendix A. Standard errorsare clustered at the lead bank level, and presented in parentheses. Statistical significance is denotedas follows: *p < 0.10, **p < 0.05, ***p < 0.01.
Pass Rating Imp Qual E(IncrReserves) Prob(Downgrade)
Mean 0.898 12.116 0.369 2.801
Standard Deviation 3.108 0.968 5.320
(1) (2) (3) (4)Treated (Three Lender) 0.013 0.095 0.012 −0.016
(0.011) (0.124) (0.058) (0.300)Treated X After 1998 0.023** 0.343*** −0.127** −0.560**
(0.011) (0.129) (0.049) (0.266)Matures in Exam Y ear −0.038** −0.379** 0.202*** 1.071***
(0.016) (0.152) (0.061) (0.370)Matures... X After 1998 0.048* 0.496** −0.193** −0.843*
(0.025) (0.217) (0.078) (0.460)Lead Share −0.089** −0.955** 0.370*** 1.910**
(0.036) (0.421) (0.137) (0.820)Min Share 0.018 −0.036 0.121 0.136
(0.064) (0.779) (0.262) (1.321)Nonbank Share −0.326*** −4.080*** 1.274*** 6.982***
(0.048) (0.587) (0.187) (1.120)Utilization Ratio −0.146*** −1.282*** 0.387*** 2.152***
(0.012) (0.162) (0.048) (0.299)
Adjusted R-Squared 0.132 0.442 0.166 0.166Observations 10,072 8,326 8,086 8,086Lead, Min, Nonbank Share, Utilization YES YES YES YESYear FE YES YES YES YESDeal Size & Maturity Splines YES YES YES YES...Interacted with After Dummy YES YES YES YESOrigination Year FE YES YES YES YESDeal Purpose & Type FE YES YES YES YESIndustry FE YES YES YES YESLead Bank FE YES YES YES YES...Interacted with After Dummy YES YES YES YES
38
Table VII: Deal Exit: Partitions by Type of Lenders on Deal This table shows regressionresults that split the full sample in column (5) of Table IV. In Panel A, we partition deals based onwhether at most (or more than) 33%, 50%, or 66% of the deal is held by domestic institutions. InPanels B and C, we use the subsample of deals held only by domestic institutions. In Panel B, wepartition these deals by whether at least half of the deal commitment is held by SNC participantswith at least (or less than) $10, $15, or $20 billion in aggregate SNC commitments. In Panel C, wepartition these deals by whether at least half of the deal commitment is held by SNC participantswith leverage ratios below (or above) 7.0, 7.5, or 8.0%. All variables are defined in AppendixA. Standard errors are presented in parentheses and statistical significance is denoted as follows:*p < 0.10, **p < 0.05, ***p < 0.01.
Panel A: Domestic Share
Deal Exit
≤ 0.33 >0.33 ≤ 0.5 >0.5 ≤ 0.66 >0.66
(1) (2) (3) (4) (5) (6)
Treated (Three Lender) 0.029 0.012 0.036 0.015 0.029 0.012
(0.035) (0.025) (0.036) (0.025) (0.031) (0.026)
Treated X After 1998 0.002 0.057** 0.017 0.058** 0.022 0.067***
(0.040) (0.026) (0.035) (0.024) (0.031) (0.025)
Matures in Exam Y ear 0.030 0.081*** 0.055 0.081*** 0.025 0.109***
(0.056) (0.028) (0.048) (0.031) (0.039) (0.037)
Matures... X After 1998 0.143** 0.043 0.088 0.048 0.114** 0.024
(0.070) (0.034) (0.063) (0.037) (0.052) (0.043)
Adjusted R-Squared 0.116 0.085 0.096 0.089 0.092 0.092
Observations 2,158 7,653 3,308 6,503 4,275 5,536
Panel B: Lender Size
Deal Exit
<$10B >$10B <$15B >$15B <$20B >$20B
(1) (2) (3) (4) (5) (6)
Treated (Three Lender) 0.088 −0.015 0.048 0.008 0.021 0.002
(0.074) (0.047) (0.064) (0.043) (0.055) (0.051)
Treated X After 1998 −0.008 0.112** 0.005 0.084 0.073 0.079
(0.097) (0.046) (0.074) (0.051) (0.061) (0.053)
Matures in Exam Y ear 0.173 0.142** 0.135 0.144** 0.166** 0.084
(0.107) (0.068) (0.086) (0.071) (0.078) (0.083)
Matures... X After 1998 0.049 0.023 0.077 −0.006 0.068 0.038
(0.157) (0.084) (0.117) (0.089) (0.109) (0.100)
Adjusted R-Squared 0.152 0.085 0.127 0.088 0.116 0.093
Observations 731 2,113 1,068 1,776 1,306 1,538
39
Panel C: Lender Leverage
Deal Exit
<7.0% >7.0% <7.5% >7.5% <8.0% >8.0%
(1) (2) (3) (4) (5) (6)
Treated (Three Lender) 0.081 0.033 −0.010 0.047 0.008 0.043
(0.099) (0.043) (0.089) (0.051) (0.054) (0.072)
Treated X After 1998 0.245* 0.020 0.170** −0.007 0.100* 0.077
(0.144) (0.042) (0.072) (0.053) (0.052) (0.081)
Matures in Exam Y ear 0.065 0.143** 0.147 0.100 0.213** 0.029
(0.211) (0.066) (0.102) (0.070) (0.094) (0.077)
Matures... X After 1998 0.305 −0.018 0.102 −0.042 −0.049 0.127
(0.202) (0.081) (0.113) (0.095) (0.118) (0.107)
Adjusted R-Squared 0.122 0.102 0.090 0.107 0.110 0.097
Observations 446 2,817 1,231 2,032 2,126 1,137
40
Table VIII: Lending Shifts of Small and Large Banks This table shows the result of FeasibleGLS regressions of the number of three-plus lender SNC deals each US bank holds in 1999 (afterthe change in SNC coverage) on the number of deals that bank holds in 1998 interacted with adummy for large lenders (more than $10 billion in aggregate SNC commitments in 1998). At eachiteration of the FGLS procedure, the same set of control variables is used to estimate the errorvariance associated with the observation (bank). All variables are defined in Appendix A. Standarderrors are clustered at the lead bank level, and presented in parentheses. Statistical significance isdenoted as follows: *p < 0.10, **p < 0.05, ***p < 0.01.
(1) (2)# 3-lender deals in 1999
# 3-lender deals in 1998 1.214*** 1.212***(0.037) (0.033)
# 2-lender deals in 1998 1.240*** 1.139***(0.264) (0.256)
Large Lender 7.245 5.716(27.993) (24.924)
Large Lender × 2-lender deals in 1998 −1.895*** −1.824***(0.556) (0.586)
Log(Assets) 0.244**(0.097)
Constant −0.160 −1.981***(0.165) (0.589)
Adjusted R-Squared 0.965 0.966Observations 200 200
41
Tab
leIX
:D
eal
Qu
ality
an
dE
xit
:A
ltern
ati
ve
Contr
ol
Gro
up
Th
ista
ble
rep
rod
uce
sth
ere
gres
sion
inco
lum
n(5
)of
Tab
leIV
an
dth
ere
gres
sion
sin
Tab
leV
Iw
hil
eu
sin
gb
oth
fou
r-an
dfi
ve-
len
der
syn
dic
ates
asa
contr
olgr
oup
.A
llva
riab
les
are
defi
ned
inA
pp
end
ixA
.S
tan
dar
der
rors
are
pre
sente
din
par
enth
eses
and
stat
isti
cal
sign
ifica
nce
isd
enot
edas
foll
ows:
*p<
0.10,
**p<
0.0
5,
***p<
0.01.
DealExit
Pass
Rating
ImpQual
E(IncrReserves
)Prob(Dow
ngrade)
Mean
0.34
60.
896
12.1
370.
380
2.86
0
Standard
Deviation
3.10
90.
987
5.40
5
(1)
(2)
(3)
(4)
(5)
Treated
(ThreeLen
der
)0.
030
0.01
30.
153
0.01
40.
024
(0.0
20)
(0.0
11)
(0.1
18)
(0.0
49)
(0.2
58)
TreatedX
After
1998
0.03
7*0.
024*
*0.
200*
−0.
110*
*−
0.53
2**
(0.0
19)
(0.0
11)
(0.1
17)
(0.0
43)
(0.2
32)
Maturesin
Exam
Year
0.06
7***
−0.
034*
**−
0.24
0*0.
173*
**0.
879*
**(0
.022
)(0
.013
)(0
.121
)(0
.055
)(0
.330
)M
atures...X
After
1998
0.07
4***
0.04
4**
0.35
7*−
0.18
5***
−0.
764*
(0.0
26)
(0.0
19)
(0.1
85)
(0.0
70)
(0.3
89)
Adju
sted
R-S
quar
ed0.
095
0.13
00.
436
0.16
40.
168
Obse
rvat
ions
12,9
4113
,394
11,1
6710
,794
10,7
94L
ead,
Min
,N
onban
kShar
e,U
tiliza
tion
YE
SY
ES
YE
SY
ES
YE
SY
ear
FE
YE
SY
ES
YE
SY
ES
YE
SSN
CR
atin
gsY
ES
NO
NO
NO
NO
Dea
lSiz
e&
Mat
uri
tySplines
YE
SY
ES
YE
SY
ES
YE
S...I
nte
ract
edw
ith
Aft
erD
um
my
YE
SY
ES
YE
SY
ES
YE
SO
rigi
nat
ion
Yea
rF
EY
ES
YE
SY
ES
YE
SY
ES
Dea
lP
urp
ose
&T
yp
eF
EY
ES
YE
SY
ES
YE
SY
ES
Indust
ryF
EY
ES
YE
SY
ES
YE
SY
ES
Lea
dB
ank
FE
YE
SY
ES
YE
SY
ES
YE
S...I
nte
ract
edw
ith
Aft
erD
um
my
YE
SY
ES
YE
SY
ES
YE
S
42
Tab
leX
:D
ealE
xit
an
dQ
uality
:D
ealO
pacit
yT
his
tab
lere
pro
du
ces
the
regr
essi
onin
colu
mn
(5)
of
Tab
leIV
an
dth
ere
gre
ssio
ns
inT
able
VI
incl
ud
ing
add
itio
nal
mea
sure
sof
dea
lop
acit
ysu
chas
LeadShare
andPublic
–b
orro
wer
pub
lic
statu
s.A
llva
riab
les
are
defi
ned
inA
pp
end
ixA
.S
tan
dar
der
rors
are
pre
sente
din
par
enth
eses
and
stat
isti
cal
sign
ifica
nce
isd
enot
edas
foll
ows:
*p<
0.10,
**p<
0.05,
***p<
0.01
.
DealExit
Pass
Rating
ImpQual
E(IncrReserves
)Prob(Dow
ngrade)
Mean
0.35
90.
898
12.1
160.
369
2.80
1
Standard
Deviation
3.10
80.
968
5.32
0
(1)
(2)
(3)
(4)
(5)
Treated
(ThreeLen
der
)0.
021
0.01
40.
087
0.00
0−
0.08
6(0
.024
)(0
.011
)(0
.132
)(0
.054
)(0
.283
)TreatedX
After
1998
0.04
5*0.
021*
0.36
4***−
0.11
0**
−0.
462*
(0.0
26)
(0.0
11)
(0.1
37)
(0.0
48)
(0.2
69)
Maturesin
Exam
Year
0.06
2***−
0.03
8**
−0.
369*
*0.
199*
**1.
053*
**(0
.023
)(0
.017
)(0
.154
)(0
.062
)(0
.370
)M
atures...X
After
1998
0.07
0**
0.04
7*0.
493*
*−
0.18
7**
−0.
811*
(0.0
30)
(0.0
25)
(0.2
20)
(0.0
77)
(0.4
56)
LeadShare
−0.
060
−0.
099*
*−
0.82
10.
512*
**2.
728*
**(0
.077
)(0
.046
)(0
.585
)(0
.173
)(1
.015
)LeadShare
XAfter
1998
0.05
20.
016
−0.
219
−0.
185
−1.
063
(0.0
89)
(0.0
58)
(0.6
84)
(0.1
97)
(1.1
91)
Public
0.00
70.
013
0.17
2−
0.04
9−
0.26
2(0
.017
)(0
.010
)(0
.121
)(0
.035
)(0
.170
)Public
XAfter
1998
−0.
004
−0.
033*
*−
0.07
00.
079
0.43
8(0
.024
)(0
.016
)(0
.133
)(0
.055
)(0
.309
)
Adju
sted
R-S
quar
ed0.
090
0.13
20.
442
0.16
60.
166
Obse
rvat
ions
9,81
110
,072
8,32
68,
086
8,08
6L
ead,
Min
,N
onban
kShar
e,U
tiliza
tion
YE
SY
ES
YE
SY
ES
YE
SSN
CR
atin
gsY
ES
NO
NO
NO
NO
Dea
lSiz
e&
Mat
uri
tySplines
YE
SY
ES
YE
SY
ES
YE
S...I
nte
ract
edw
ith
Aft
erD
um
my
YE
SY
ES
YE
SY
ES
YE
SY
ear,
Ori
ginat
ion
Yea
rF
EY
ES
YE
SY
ES
YE
SY
ES
Dea
lP
urp
ose
&T
yp
eF
EY
ES
YE
SY
ES
YE
SY
ES
Indust
ryF
EY
ES
YE
SY
ES
YE
SY
ES
Lea
dB
ank
FE
YE
SY
ES
YE
SY
ES
YE
S...I
nte
ract
edw
ith
Aft
erD
um
my
YE
SY
ES
YE
SY
ES
YE
S
43