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FEDERAL RESERVE BANK OF CLEVELAND
11 31
Bank Mergersand
Deposit InterestRate Rigidity
Valeriya Dinger
Working papers of the Federal Reserve Bank of Cleveland are preliminary materials circulated to
stimulate discussion and critical comment on research in progress. They may not have been subject to the
formal editorial review accorded offi cial Federal Reserve Bank of Cleveland publications. The views stated
herein are those of the authors and are not necessarily those of the Federal Reserve Bank of Cleveland or of
the Board of Governors of the Federal Reserve System.
Working papers are available on the Cleveland Fed’s website at:
www.clevelandfed.org/research.
Working Paper 11-31
December 2011
Bank MergersandDepositInterestRate Rigidity
Valeriya Dinger
In this paper I revisit the debate on the impact of bankand market characteris-
tics on the rigidity of retail bankinterest rates. Whereas existing research in this
area has been exclusively concerned with static measures of bankand market
structure, I adopt a dynamic approach which explores the rigidity effects of the
changes of bankand market structure generated by bank mergers. I fi nd that bank
mergers signifi cantly affect the frequency of changes to deposit rates. In par-
ticular, the probability of adjusting deposit rates in response to shocks in money
market rates signifi cantly drops after mergers that involve large target banks and
after mergers that generate a substantial geographical expansion of bank opera-
tions. These effects, however, materialize only after a “transition” period charac-
terized by very frequent changes of the deposit rates.
Key words: bank mergers, bank market structure, interestrate dynamics, hazard
rate.
JEL codes: G21, L11.
Valeriya Dinger is at the University of Osnabrueck, and she can be reached at Ro-
landstr. 8, 49069 Osnabrueck, Germany, 49 5419693398 (phone), 49 5419692769
(fax), or valeriya.dinger@uni-osnabrueck.de. The empirical analysis presented in
this paper was performed during the author’s tenure at the Federal Reserve Bank
of Cleveland as a visiting scholar. The author thanks Ben R. Craig for sharing
insights and data and James Thomson and Jürgen von Hagen for useful comments
on earlier versions. Financial support by the Deutsche Forschungs-gemeinschaft
(Research Grant DI 1426/2-1) is gratefully acknowledged.
2
1. Introduction
It is a well established fact in the empirical banking literature that bank retail interest rates
change only infrequently and react with a substantial delay to monetary policy rate changes.
This infrequency of retail interestrate changes has been recognized as an important
determinant of the pace of the monetary policy transmission process (Hannan and Berger,
1991). As a result a growing theoretical and in particular empirical literature has focused on
the exploration of the determinants of the frequency of bank retail loan anddeposit products’
repricing.
The theoretical foundation of the analysis of bank retail interestrate rigidity’s determinants
follows the tradition of adjustment costs theories of price dynamics (Sheshinski and Weiss,
1977, Rotemberg and Saloner, 1987). These theories argue that the decision of a firm to
change its price (or a bank to change its retail rates) is driven by the trade-off between the
costs of adjusting the price and the costs of deviating from a typically unobservable optimal
price. In this framework bankand market structure characteristics, such as bank size,
geographical scope, distribution of market shares, can significantly affect the probability of
retail interestrate changes since they affect both the adjustment costs and the optimal price.
Empirical research supports these theoretical insights by finding a statistically and
economically significant impact of variables such as market concentration, bank size, etc. on
the probability of changing bank retail interest rates (Hannan and Berger 1991, Mester and
Sounders 1995, Craig and Dinger 2010). Existent empirical research, however, has only been
focused on a static view of bankand market structure and ignores the information contained
in their dynamics.
The static view of bankand market structure involves two substantial risks for the validity of
the empirical results. Identification is threatened, on the one hand, by omitted variable biases
since a number of bankand market characteristics which possibly affect the frequency of
adjusting retail interest rates eventually remain unobservable. On the other hand, the fact that
3
bank and market structure variables are potentially endogenous with respect to the price
dynamics of the banks endangers the consistency of the empirical results.
In this paper I address these shortcomings of existing research and adopt a dynamic
perspective of bankand market structure. In particular, I explore the effects of bankmergers
as a major source of bankand market structure dynamics on the frequency of changing retail
deposit rates. The information contained in bankmergers is especially valuable since it allows
the empirical examination of the impact of substantial changes in key bankand market
structure characteristics, such as the size of the banks, the number of markets it serves and the
change of market concentration in each of the markets. A major advantage of studying
mergers in this context is the fact that the exact timing of reasonably exogenous bankand
market characteristics’ changes
1
The effect of bankmergers on the frequency of changing retail deposit rates is examined by
duration model estimations. In the framework of the duration model approach I estimate the
ceteris paribus effects of the time distance from a bank merger as well as of the merger
characteristics -such as the change in bank size, the change of the number of markets and the
change of market share- on the conditional probability of a bank changing its deposit rates.
is known, so that the identification of the empirical effects of
these bankand market characteristics’ on bank pricing behavior is feasible after controlling
for a transition period around the merger date.
I start the analysis by comparing the hazard functions of changing retail deposit rates between
banks which have recently undergone a merger and the rest of the sample banks using
standard Kaplan-Meier non-parametric hazard function estimates. Next, I proceed to
estimating the semi-parametric Cox hazard functions including time dummies measuring the
time distance to the latest merger as well as proxies for the bankand market structure changes
generated by the merger as covariates along with control measures such as the magnitude and
the changes of monetary policy and market interest rates.
1
Although bankmergers can be endogeneous with respect to market structure, I focus and explore here their
exogeneity with respect to the frequency of changing retail bankinterest rates.
4
The estimations employ a comprehensive dataset combining weekly information about retail
deposit rates offered by roughly 600 US banks for a period of almost a decade (1997-2006)
with data about the corresponding bankand local market characteristics. A complete list of
bank mergers in and around this time period is matched to the interestrate data. The resulting
sample covers banks with a wide range of variation in size, geographical scope and local
market shares and reflects their interestrate setting policy in more than 160 local markets
defined as metropolitan statistical areas (MSAs). The focus on deposit rather than loan
interest rates is driven not only by the better availability of depositrate data but also by the
fact that deposits are the more homogenous products of the banks less affected by credit risk
considerations which cannot convincingly be controlled for.
The results of the estimations show that bankmergers significantly affect the duration of bank
retail deposit rates. In the first post-merger year merging banks tend to change their retail
deposit rates at a higher frequency than non-merging banks, suggesting that the merger
induces a process of transition toward a new retail rate dynamics. During the second post-
merger year the frequency of changing retail deposit rates of merging banks does not
significantly differ from that of non-merging banks. A systematically higher duration of
deposit rates of merged banks becomes statistically significant only after two years following
the merger. Among the characteristics of the merger, the frequency of changing deposit rates
is particularly affected by the size of the target bank as well as by the change in the number of
local markets where the bank operates. The increase in market share is shown to have
ambiguous effects depending on the degree of local market concentration.
These results contribute to the literature in several dimensions. First, they confirm in a
dynamic context with strengthened identification the impact of bankand market features on
deposit raterigidity found in studies where market structure is viewed in a static way.
Next, the results uncover the importance of mergers for bankdepositrate dynamics. They are
related to the literature on the effects of bankmergers on bankinterestrate setting behavior
5
which has so far been exclusively focused the level of retail interest rates (Hannan and Prager,
1998; Focarelli and Panetta, 2003; Craig and Dinger, 2009). The evidence presented here
shows that mergers not only affect the long-term interestrate level but are also important for
understanding the dynamics of the adjustment towards this level. Observed difference in
deposit rates between merging and non-merging banks can, therefore, be explained by both
differences in the optimal depositrate but also in the timing of adjustments towards this long-
term optimum. The peculiarities of depositrate dynamics around bankmergers also underline
the risks associated with using only static measures of bankand market structure when
analyzing their effect on bankinterestrate setting behavior. If such an empirical analysis is
applied to periods with substantial empirical importance of bank mergers, the results can be
driven by the transition itself rather than be the long-term optimum interestrate setting policy
of the banks.
In sum, the evidence presented in this paper suggests, on the one hand, that a substantial
change in retail rate dynamics can be expected a few years after bank mergers. On the other
hand, this evidence illustrates that the retail rate dynamics directly after the mergers can show
a seeming flexibility in the interestrate setting unrelated to the long-term effect of bankand
market characteristics. This result concerning the short-term “transition” effects of mergers on
the frequency of “price” changes represents a novel contribution to the broader price
dynamics literature which has to my knowledge so far ignored the eclectic dynamics of the
frequency of price changes around firm mergers.
The rest of the paper is structured as follows. Section 2 presents the data and defines the
measures of retail interestrate durations employed in the duration models. Section 3 shows
some stylized facts about the effect of mergers on the probability of changing deposit rates
and compares the hazard functions of changing retail deposit rates between merging and non-
merging banks. Section 4 presents the results of the hazard function estimation, and Section 5
concludes.
6
2. Data Sources and measurement issues
Data Sources
The empirical estimation presented in the following sections is based upon a unique dataset
that combines weekly information on the retail deposit rates offered by 624 U.S. banks in 164
local markets (defined as MSAs) with the full list of bankmergers in the US in the time
period 1992-2006. The retail depositrate data are drawn from Bankrate Monitor’s reports.
They encompass a total of 1738 bank-market groups for the period starting on September 19,
1997, and ending on July 21, 2006. The merger data is drawn from the Supervisory Master
File of Bank Mergers and Acquisitions and indicates that 121 of the banks for which interest
rate information is available have in the examined period been involved in mergers as
acquirers. The deposit rates reported show a substantial variation not only across time but also
across banks and across local markets. In particular, deposit rates offered by multimarket
banks in different local market vary substantially. This variation which has been described in
detail in earlier studies (Craig and Dinger, 2009 and Craig and Dinger, 2010) is a signal of
banks’ reaction to local market competitive conditions. Because of the interestrate variation
across markets I use the interestrate observations reported on the bank-market level. By
doing so, I employ both the cross-market and cross-bank variation in depositrate dynamics
for the identification of bankand local market characteristics’ impact.
As already mentioned in the introduction I focus on deposit rates only. This focus on deposit
rates admittedly limits the scope of the analysis by leaving aside loan rate dynamics which
plays a key role in the monetary transmission process. It does, however, enables a focus on
the price setting behavior of the banks without concerns of customers’ credit risk.
Among the broad range of retail deposit rates reported by Bankrate Monitor (checking
accounts, money market deposit accounts and certificates of deposits with a maturity of three
months to up to five years) I concentrate on checking account and money market deposit
7
account (MMDA) rates, since these are the retail deposit rates with a substantial degree of
rigidity for which the duration of the rates is a key determinant of the retail rate dynamics
2
In addition to the retail depositrateand merger data, the dataset includes a broad range of
control variables for individual banks from the Quarterly Reports of Conditions and Income
(call reports). These are at a quarterly frequency. I also include control variables for the local
markets. The source of the local market controls is the Summary of Deposits, and these data
are available only at an annual frequency.
.
Defining spells and durations
The duration analysis presented in the following two sections requires a measure of deposit
rate durations. For this purpose I first track for each bankand market the duration of retail
interest rates by setting the definitions of the individual quote lines anddepositrate spells. I
define the quote-line
i,j,p
as the set of deposit rates offered by bank i in local market j for
deposit product p. The depositrate spell is defined as a subsection of the quote line for which
the depositrate goes unchanged. The definition of the depositrate spells assumes that if the
same interestrate is reported in two consecutive weeks, it has not changed between
observations. I define the number of weeks for which the interestrate goes unchanged as the
duration of the interestrate spell.
To avoid left censoring I include only spells for which the exact starting date (the week for
which this particular rate was offered for the first time) can be identified. That is, for each
bank-market I exclude all observations before the rate changes for the first time. A spell ends
with either a change of the interestrate or with an exit of the bank-market unit from the
observed sample. In the latter case the issue of right censoring arises. To deal with this issue I
only include spells for which the end date is identifiable. BankRate Monitor reports rates
offered by smaller banks only if the quoted rate deviates from the rate quoted in the preceding
week. To control for this I assume that an interestrate spell “survives” through the weeks
2
See Table 1 and Table 2 for illustrations of checking and MMDA rate (relative) rigidities.
8
until the next observation is reported (if the next reported rate is in week t, I assume the rate
has “survived” until week t-1). However, a few instances are present in our sample in which
the bank-market unit exits the sample for a longer period (up two a few years) and re-enters
the sample again. In this case, the assumption that observations are missing only because no
change in the interestrate is observed is too strong. I control for this by treating an unreported
rate as an unchanged rate only if the period of missing observations is less than 52 weeks
3,4
Table 1: Number of spells and number of time changes reversed within four weeks
.
Product
total number
of spells
total number
of
uncensored
spells
number of
"sales" with
one week
duration
number of
"sales" with 2
weeks
duration
number of
"sales" with 3
weeks
duration
number of
"sales" with 4
weeks
duration
deposits
cheching account 8084 5714 628 149 107 70
MMDA 14433 11814 1600 240 257 103
Source: Own calculations based on BankRate Monitor data
An important measurement issue is the treatment of temporary depositrate changes (the
equivalent of sales in the price rigidity literature). Since temporary changes are an important
component of a bank’s depositrate setting policy I consider a temporary depositrate change
as a “failure” of the spell. As illustrated in Table 1, which presents summary information on
the number of spells defined with the procedure described above as well as information on the
number of temporary changes with different durations, temporary depositrate changes are
common. However, the number of temporary depositrate changes reversed within only one
week is substantially larger than the number of temporary changes with a longer duration
suggesting that a substantial portion of the one week “temporary changes” are might not
reflect changes of the depositrate but rather misreporting. Since I cannot disentangle potential
reporting errors from temporary depositrate changes, the estimations presented in the next
3
I did a few robustness checks here. For example, for the checking account rates our approach identifies 204
spells for which the rate was not observed for a few weeks but reappeared with a changed value within 52 weeks.
If I account only for rates that reappear within 26 weeks, I identify 191 spells. If I impose no cut-off point with
regard to the number of weeks a price was not observed, the result is a total of 311 spells.
4
The spell definition procedure here is similar to the one presented in Craig and Dinger (2010).
[...]... interestrate adjustment process the examination of the interestrate duration and its determinants is of key importance for understanding interestrate dynamics 3 Bank mergers and the probability of changing bank retail interest rates I start the empirical examination of the effect of bankmergers on depositraterigidity by exploring the difference in the duration of depositrate spells between banks... Adjustment and Aggregate Investment Dynamics, Brookings Papers on Economic Activity 2 , Macroeconomics, 1-54 Craig, B And V Dinger (2009): Bank Mergers and the Dynamics of DepositInterest Rates, Journal of Financial Services Research 2009, Vol 36 (2-3): 111-133 Craig, B And V Dinger (2010): A Microeconometric Investigation into BankInterestRate Rigidity, Federal Reserve Bank of Cleveland Working... the effect of mergers in highly and less concentrated deposit markets In particular, in less concentrated markets the rigidity enhancing effect of bankmergers materializes immediately after the merger The transition period with higher depositrate flexibility during the first year of the merger seems to characterize mostly the interestrate setting behavior of banks in highly concentrated markets... results illustrate how the effects of bankmergers on interestraterigidity differ across markets with different concentration levels They also suggest that the rigidity impact of market characteristics is potentially non-linear and interrelated to premerger market features 5 Conclusion It has long been known that bank market structure affects the rigidity of bankinterest rates (Hannan and Berger,... effect and show that changes in bankand market structure characteristics generated by bankmergers substantially affect the retail rate dynamics of merging banks In particular, the empirical examination is concentrated on the effect of changes in key bank characteristics (such as banks size, market share and number of geographical markets) generated by the merger on the probability to adjust retail deposit. .. illustrating the basic relations between bank mergers and deposit raterigidity is unapt for the identification of the channels and determinants of a merger’s impact on retail interestraterigidity In this section I extend the analysis and focus on the impact of various dimensions of bankmergers on the frequency of adjusting bank retail interest rates For this purpose I estimate a proportional Cox... 4 Bank mergers, bankand market structure changes and the hazard of changing the retail interest rates The Kaplan-Meier non-parametric estimates of the hazard function presented in Section 3 indicate a significant effect of mergers on the frequency of changing bank retail interest rates The simple univariate Kaplan-Meier framework although suitable for illustrating the basic relations between bank mergers. .. bankand market characteristics The estimated coefficients of the time dummies confirm the pattern of retail raterigidity dynamics around the merger date documented in Section 3 After controlling for market interestrate dynamics and various merger, bankand market characteristics I still find that the frequency of changing both the checking account rateand the MMDA is significantly affected by bank. .. average absolute value of the deposit change in weeks where the change is non-zero Average rate is the average depositrate throughout the sample and average change relative to average rate is the ratio of the absolute value of the average change to the average rate The lumpiness of depositrate adjustments is illustrated in Table 2 not only by the low frequency of depositrate changes but also by the... merger and banks which have not For this purpose I compare the Kaplan-Meier estimations of the hazard function of changing the depositrate for the subsamples of banks which have undergone a recent merger to those of banks which have not recently been merging In particular, I compare the hazard of changing the retail deposit rates (checking account and MMDA rates) between merging and non-merging banks . RESERVE BANK OF CLEVELAND
11 31
Bank Mergers and
Deposit Interest Rate Rigidity
Valeriya Dinger
Working papers of the Federal Reserve Bank of Cleveland are.
3. Bank mergers and the probability of changing bank retail interest rates
I start the empirical examination of the effect of bank mergers on deposit rate