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Interestratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
1
Interest ratesettingbyuniversalbanks and
the monetarypolicytransmissionmechanismintheeuro area
Gabe de Bondt, Benoît Mojon and Natacha Valla*
6 November 2002
Preliminary Draft
Abstract
This paper empirically analyses the pass-through of changes in market interest rates to retail bank
interest rates ineuroarea countries. The results confirm earlier findings that retail bank rates adjust
sluggishly to market rates. Differences inthe degree of this pass-through persisted after the
introduction of the euro, both across the five segments of the retail bank markets analysed and across
the ten euroarea countries considered. First, the sluggishness is not generally due to an ability of
“universal” banks to fund loans by deposits rather than securities. Second, estimation results of linear
and state dependent error correction models show that retail bank interest rates adjust to changes in
funding (lending rates) or opportunity costs (deposit rates), which are approximated by a weighted
average of short and long-term market interest rates. Furthermore, it is found that the introduction of
the euro has speed up the adjustment of retail bank interest rates to market interest rates. One possible
factor behind this evolution is inthe evolution could be related to competitive forces inthe different
segments of the retail bank market.
Keywords: retail bank interest rates; market interest rates; euroarea countries
JEL classification: E43; G21
European Central Bank, Kaiserstrasse 29, D-60311, Frankfurt am Main, GERMANY. E-mail addresses:
gabe.de_bondt@ecb.int, benoit.mojon@ecb.int, and natacha.valla@ecb.int. We thank Jesper Berg, Francesco
Drudi, Michael Ehrmann and Oreste Tristani for their reflexions on a previous draft, Hans-Joachim Klockers for his
comments and Rasmus Pilegaard for excellent data assistance. All views expressed are those of the authors alone and do not
necessarily reflect those of the ECB or the Eurosystem.
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
2
1. Introduction
The level of interest rates is one of the main determinants of savings and investment decisions. When
making these decisions, euroarea households and firms are mainly confronted with retail bank interest
rates. In 2000, the amounts outstanding of loans to non-financial corporations of theeuroarea were
seven times as large as debt securities. Moreover, traditionally deposits are larger than money mutual
funds (Agresti and Claessens, 2002; ECB’s Report on Financial Structures, 2002). It is also clear that
the response of bank retail rates to changes intheinterest rates on the refinancing operations
controlled bythe central bank is a major link inthetransmission of the ECB monetary policy.
A growing literature has shown the sluggishness of retail banksinterest rates intheeuro area. As
shown in Table 1 (reproduced from De Bondt 2002), the complete pass-through from changes in the
money market rates to retail bank rates takes at least several months
1
. These results are usually based
on reduced form regressions of retail bank rates on the money market rate. While this modelling
approach provides a good summary evaluation of this sluggishness, it falls short of explaining its
determinants. To remedy this gap, this paper estimates semi-structural equations of interestrate setting
by euroarea banks, which we see as being in their majority “universal”.
2
Our study covers five
categories of euroarea retail bank rates, four loans (short-term and long-term loans to firms,
mortgages and consumer credit), and one time deposits interest rates. We use time series of retail rates
and market rates from ten of the twelve euroarea countries as well as for the euro-area aggregate.
“Universal” banks, which we define by opposition to “specialised” banks, should in principle enjoy
economies of scope. In particular, the rates on loans granted byuniversal institutions may depend on
the cost of raising deposits rather than issuing securities. Such a deposit-based funding of loan
activities could imply that retail bank rates remain little responsive to market conditions once deposit
rates are accounted for. On the contrary, specialised banks without branches collecting deposits would
set their retail loan rates on the basis of their market-based funding.
Within our framework, this ability of continental European banks to avoid market funding using
deposits instead is one possible explanation for the retail rates sluggishness.
1
This is in sharp contrast with the U.S., where, as shown in Sellon (2001), the spread between the prime lending rateand the
federal funds rate has been constant, implying a complete instantaneous pass-through, for nearly a decade.
2
Indeed, banksintheeuroarea benefit from a very broad range of authorised operations. This became formally true with the
second European Banking Directive (1989), which formalised a tendency that had already emerged earlier on in key euro
area countries. The functional separation of banking activities indeed gradually disappeared since the mid-1970s: 1974 in
Spain, 1975 in Belgium, 1989 for the Netherlands, 1984 in France, 1990 in Italy. Moreover, in Germany and Austria,
universal banking had been the grounding principle of banking activities ever since the beginning of the 20th century.
Overall, there is a long tradition of universal banking across euroarea countries. We note that universal banking may
refer not only to household lending, deposit-taking and investment financing, but also brokerage, equity holding,
portfolio management and trading. Moreover, the multiplication of mergers and acquisitions has led to the creation of
conglomerates involving banks, insurance and securities companies that have strengthened theuniversal character of
European banks (see Cybo-Ottone and Murgia (2000)). However, given the scope of our paper, we shall stick to a
“narrow” definition of universal banking and refer to the set of “traditional” retail banking activities.
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
3
Another explanation for the sluggishness of retail bank rates is that funding costs are not entirely
indexed to the money market rate. First, banks may try to limit interestrate risk on long-term loans by
increasing the maturity of the funding of such loans. Second, inthe presence of adjustment/menu
costs, uncertainty about the persistence of changes in money market rates may induce banks to define
a target retail rate as a function of long-term rates, as a smooth indicator of future changes in money
market rates.
Our initial tests reject the idea that retail bank rates on deposits have, conditionally on the level of
market interest rates, a significant influence on retail bank rates on loans. We then show that the
dynamics of each retail bank interestrate can be specified separately within an error correction model
(ECM). Inthe long run, banks set their retail prices in line with their marginal costs, i.e. the funding
costs of loans andthe opportunity costs of deposits. Both the funding and opportunity costs are
modeled as a weighted average of the three-month money market rate (MMR) andthe 10-year
government bond yield (BR). This way, the marginal cost of retail bank instruments are more
accurately captured than in previous studies, which typically examined only the short-term market
interest rate. Nevertheless, it can not be ruled-out that our empirical findings are distorted by maturity
mismatches or yield curve effects, since it is unclear whether our freely estimated weighted average of
the short and long-term interest rates have a comparable maturity with the underlying retail bank
instrument.
3
Inthe short run, changes in retail bank rates depend on changes inthe MMR andin the
BR and on the deviation from the long-run equilibrium relationship between the retail bank interest
rate and short- and long-term interest rates.
The stability of the baseline linear ECM before and after the introduction of theeuro is then tested and
we assess whether more general state dependent models are preferable to the linear specification. A
break in January 1999 is found inthe estimated linear ECM in about half of the cases. One possible
explanation for this break may be associated to the evolution of the competitive forces inthe different
segments of the retail bank market since the introduction of the euro. For instance, the time deposit
and mortgage markets have seen some new entrants, in particular internet banks. In addition, for non-
financial corporations, non-bank sources of finance, in particular debt securities, have increased in
recent years (De Bondt, 2002c).
This paper has three key contributions. First, it shows that the sluggishness inthe response of retail
rates to market rates is not due to the possibility of banks to fund their loans through the issuance of
deposits. Second, it shows that retail bank interest rates ineuroarea countries adjust to changes in
marginal funding or opportunity costs, approximated by a weighted average of short and long-term
3
At theeuroarea level De Bondt (2002a) examines the adjustment of retail bank interest rates to market interest rates with a
comparable maturity.
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
4
interest rates. The weight of market rates inthe equilibrium target of retail bank rates, which has been
largely ignored inthe literature on the pass-through, is found to be an important factor behind the
sluggishness of the response of bank rates to market rates. Third, we find that in a large number of
national retail markets, the introduction of theeuro has affected bank pricing.
The paper is structured as follows. Section 2 presents available evidence on interest rates pass-through
process in individual euroarea countries. The theoretical model of bank pricing is presented in section
3. Section 4 provides an overview of the data. Section 5 discusses the empirical results and Section 6
concludes.
2. The pass-through to retail bank interest rates: literature review(s)
While recent studies on the retail bank interestrate pass-through stress the sluggishness in the
adjustment of retail bank rates, they usually do not provide explanations for it. Against this
background, we discuss how the complementarities across bank’s activities can explain the lack of
responsiveness of bank rates to market conditions.
2.1. An incomplete interestrate pass through in individual euroarea countries
Table 1 summarises the main findings of interestrate pass-through studies performed for individual
euro area countries. All studies show cross-country differences intheinterestrate pass-through,
although no clear pattern in those differences seems to emerge .
Studies from the mid-1990s broadly show that changes in official and/or money market rates are not
fully reflected in short-term bank lending rates to enterprises after three months, but that the pass-
through is higher inthe long term (BIS, 1994, Cottarelli and Kourelis, 1994, and Borio and Fritz
1995). Recent cross-country studies by Kleimeier and Sander (2000 and 2002), Donnay and Degryse
(2001), Toolsema et al. (2001), and Heinemann and Schüller (2002) confirm this finding. Hofmann
(2000) and Mojon (2000) also find short-term sluggishness in short-term bank lending rates to
enterprises, but assume a priori a complete long-term pass-through.
As regards long-term bank lending rates to enterprises and households, all studies, except BIS (1994),
typically show that the pass-through tends to be less complete than for short-term bank lending rates to
enterprises. This finding may be driven bythe fact that the funding costs are approximated by money
market interest rates, which may not always be the most appropriate marginal funding costs, in
particular for long-term loans to enterprises and mortgages.
Furthermore, changes inand convergence of financial structures among euroarea countries is a
potential determinant of theinterestrate pass-through. For instance, Mojon (2000) concludes that
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
5
deregulation has significantly affected theinterestrate pass-through process for deposits, but not for
loans.
2.2. Bank studies on theinterestrate pass-through
The industrial organisation literature typically examines the link between bank interestrate margins
and the market structure of the banking system using bank data. (Hannan and Berger, 1991, Neumark
and Sharpe, 1992, Angbazo, 1997, Hannan, 1997, Wong, 1997, and Corvoisier and Gropp, 2001). The
main lesson of these banking structure studies is that the pricing behaviour of banks may depend on
the degree of competition and contestability inthe different segments of the retail bank market. For
instance, Corvoisier and Gropp (2001) conclude that for demand deposits and loans increasing bank
concentration in individual euroarea countries during the years 1993–1999 may have resulted in less
competitive pricing by banks, whereas for savings and time deposits the opposite seem to be the case.
2.3 Loans pricing byuniversal banks
The vast empirical literature that has tested the existence of economies of scope is largely
inconclusive. However, the complementarities across bank activities can explain the sluggishness of
retail bank rates.
One factor of retail bank rate sluggishness that has not received much attention is the ability of banks
to exploit the complementarity of their activity. In a universal banking environment, the way banks set
retail interest rates pertains to the general - and overall inconclusive - debate on complementarities and
scope in banking. A widespread belief suggests that banks tend to expand the scope (and possibly
scale) of their activities because of the allegedly increased competition in traditional banking
activities
4
. Unfortunately, the economic benefits from expanding scope seem are not overwhelmingly
echoed inthe data (Berger et al 1993). The enormous literature estimating costs and production
functions of banks remains relatively inconclusive on the issue (see the survey in Clark (1988) and
Altunbas (2001) and Bikker (2001)). Regressing three different measures of bank profits on bank-
4
Because they need to improve their cost efficiencies to operate more effectively, scale expansion would be justified. In
parallel, by squeezing margins, tougher competition would force banks to seek profits outside familiar territories. This
argument, however, is not strongly supported empirically. In addition, cost efficiency arguments suppose a focus on
“core” competencies. They are therefore difficult to reconcile with scope expansion (Hamel and Prahalad (1990)). A
more appealing argument relates to the strategic benefits that may arise from increasing scope (and size). Milbourn, Boot
and Thakor (1999) suggest that banks may enlarge the scope of their activities because it enhances the reputation of their
management and/or increases the wealth of shareholders. In addition, strategic benefits may also arise if (i) current
operations are sufficiently profitable to finance the fixed costs associated with scope expansion, (ii) uncertainty about the
core competencies required to successfully run new operations is sufficiently high, and (iii) expected competition in the
prospective market is low enough so as to make the effort worthwile. By stressing the role of informational uncertainty
and learning for a wider scope to be optimal, this argument suggests that unless very specific conditions are met, it does
not pay, on average, to be diversified. See also Berger. and Humphrey (2000) and, for European studies, Altunbas (2001)
and Bikker (2001).
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
6
specific and country specific variables, Steinherr (1994) singles out the significantly larger influence
of costs, competition and regulation on the profits of universalbanks relative to those of specialised
institutions. However, those results do not say much on the disaggregation of those three factors by
activity.
Overall, estimating complementarities and economies of scope is subject to a range of practical
problems. Among the issues identified in Berger, Hunter and Timme (1993), two are of direct interest
to us. First, data on specialized banks are scarce. This issue is particularly fierce when using a narrow
definition of universal banking as we do here. In particular, banksintheeuroarea tend to produce the
entire array of retail banking outputs.
5
Second, the data used to evaluate economies of scale
correspond to a point which is far from the efficiency frontier. In that sense, scope economies may be
mistaken for X-efficiencies.
6
However, for our purpose, the prevalence of universalbanksintheeuroarea may affect the
transmission of market interest rates to retail banking conditions even if economies of scope are not
large. In particular, the multi-business nature of universalbanks may help them to manage interest rate
risk and dampen the effect of fluctuations in market conditions. To that respect, specialized institutions
may either add a portfolio of liquid securities and/or recourse to money market instruments and central
bank liquidity. Universalbanks have another option. As they handle both loans and deposits, they may
in principle shelter lending activities from market conditions not only by spreading risk across loan
markets segments, but also by “using deposits” as an input to producing loans. By doing so, banks
should buffer the impact of market conditions on retail loans rates, and create a causal link from
deposit rates to lending rates.
The question as to whether deposits are inputs or outputs for universalbanks has been raised in the
intermediation literature. On the one hand, they have been considered as inputs for the production of
loans, i.e. as a source of liquidity, which is then redistributed under various maturities to agents in
need of financing. Alternatively, we may argue that deposits are also an output, as retail banks are
service producers to depositors. Without clinching the matter, Sealey and Lindley (1977) view
deposits as an intermediate input which is produced bybanks (they offer means of payments and a
remuneration to depositors), and then used inthe production of loans. Hughes and Mester (1993a, b)
estimate a variable cost function with a fixed level of deposits. Their estimate of this function’s
derivative with respect to deposits being negative, they conclude that deposits are inputs. The “user
cost methodology” proposed by Hancock (1991) is also insightful. Hancock regresses bank profits on
5
They all tend to be away from the zero-output, which creates extrapolation problems.
6
The relevant literature suggests that there has been a systematic bias in earlier measures of scope and scale economies for
banking activities, because this distance from the efficiency frontier, and to some extent the risk attitude of banks’
managers, were both overlooked (Hughes and Mester (1993a, b)). The cost and revenue efficiency of evolving financial
institutions has also been empirically investigated ,see e.g. , Berger, Hunter and Timme (1993).
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
7
the real balances of all items of its balance sheet without earmarking loans and deposits as being ex
ante outputs or inputs. The input/output distinction emerges endogenously from the sign of the
regression coefficients. Positive estimates correspond to outputs, while negative estimates correspond
to inputs. She finds that loans and deposits are outputs, while cash (time deposits and borrowed
money) is an input.
As a result, retail interest rates in loans markets may depend on retail pricing for deposits, a
phenomenon less likely to emerge when banks are specialised. Hence it appears that the dominance of
universal banking intheeuroarea could be a factor for the sluggishness of retail bank rates.
3. A model of bank pricing
From a static point of view, the links between market and retail interest rates has an immediate
interpretation in terms of bank profit maximizing and pricing. An equilibrium relationship between
retail and market rates may be obtained in a simple static Monti-Klein bank where banks hold money
market instruments and longer term assets.
7
A “universal” bank with some monopoly power chooses
the volumes of loans L and deposits D that maximise its profits given by
[1] ),( LDCDrBrMrLr
d
b
s
l
−−++=π
C(.) is a well behaved cost function. M is the bank’s net position on the interbank market and B its net
longer term assets holdings (“bonds”) which, given mandatory reserve requirements a, satisfy the
balance sheet condition:
[2] (1- a)D – L = M+B
s
r and
b
r are theinterest rates prevailing inthe money and bonds markets. They are taken as given by
the bank. Money market instruments and bonds are held with proportions k and (1-k), that is
[3] M = k [(1- a) D + L]
[4] B=(1-k)[(1- a) D + L]
Rewriting profits accordingly, the first order conditions for the supply of loans andthe demand for
deposits yield a pricing rule for each market i (i = deposits, various loans), for given inverse demand
and supply functions )(Lr
l
and )(Dr
d
:
7
More elaborate profit-maximizing oligopoly models have exploited large detailed datasets, see Steinherr and Huveneers
(1994).
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
8
1
]
1
1][')1([]5[
−
−+−+=
i
ibsi
Crkkrr
ε
where
i
ε represents the price elasticity of the demand for loans (i =loans) andthe supply of deposits
(i=deposits).
Under perfect competition with complete information, ∞→
i
ε , price equals marginal cost and its
derivative with respect to marginal costs equals one. This derivative typically falls below one when the
demand for loans (supply of deposits) is not fully elastic with respect to the bank lending (deposit)
rate, or if banks have some degree of market power (Laudadio, 1987). A wide range of factors
influences market power. Entry into the banking sector may be restricted by regulatory agencies,
thereby creating room for monopoly power and administrated pricing (Niggle, 1987). Market power
and an inelastic demand for retail bank products may also result from the existence of switching costs
(Klemperer, 1987, and Sharpe, 1997) or asymmetric information costs. The former is expected to be
particularly relevant for bank deposit rates andthe later for bank lending rates. Moreover, beyond the
static framework of the model, bank rates may fluctuate around the target rate presented in Equation
[5] because of adjustment costs.
Overall, the resulting pricing equation [5] highlights the key role played by long term rates when the
longer term assets held bybanks are taken into account when they maximise profits. [5] states that
retail rates are set as a weighted average of market interest rates, corrected for market structure and
banking costs.
The interdependence between the deposit and lending activities in which a universal bank is involved
appears via the cost structure of banking activities. If the markets for deposits or loans are segmented,
the properties of the cost function determine whether developments in one market have an impact on
retail rates in other markets. In particular, the cost function is defined on both deposits and loans and
should not be separable in those arguments for a bank engaging simultaneously in various lending and
deposit markets. In particular, the equilibrium volume of deposits chosen bythe bank will depend on
the rate prevailing in that market, so that the marginal cost of loans in [5] can be explicitly written as
)),((' LrDC
dl
and is in general not a linear function of
d
r .
8
While in [5] the relationship between
lending rates and market rates is linear, the impact of
d
r on
l
r is going to be linear only inthe specific
case where '
d
C is itself a linear function of
d
r , i.e. if BArC
dd
+=' where A and B may be functions
of quantities and cost parameters. As a consequence, we concentrate on a linear specification including
both market rates but leaving deposit rates out of the information set.
9
This is coherent with the fact
8
It would be linear for example with a quadratic cost function and a linear demand for deposits.
9
This step is warranted bythe results of Granger causality tests presented below, suggesting that A=0.
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
9
that a baseline Monti-Klein bank considers retail interest rates to be independent from each other
across markets.
4. Data
National retail bank markets provide independent observations to investigate bank pricing. Indeed,
these markets remain segmented in spite of the institutional changes andthe market consolidation that
financial intermediaries went through inthe last two decades. In contrast to the increasing integration
of securities markets and wholesale finance services across countries (Pagano et al. 2002), the
consolidation of the banking sector took mostly place within national borders. This national
segmentation explains, among other factors, why the pass-through of changes in market interest rates
to retail bank interest rates is different across euroarea countries (see Table 1)
10
.
The analysis is carried out on 46 retail interestrate series for all euroarea member states except
Luxembourg and Greece, theeuroareaandthe associated MMR and BR. All series have a monthly
frequency - except for France, where the model is estimated on quarterly data - and are available from
the ECB national retail interestrate database.
11
They correspond to five main financial instruments that
reflect different segments of the banking sector. They include interest rates on short (10 series) and
long-term (6 series) loans to firms, mortgages to households (10 series), consumer credit (7 series) and
time deposits (9 series). One should note that from January 1999, the MMR is the EURIBOR for all
countries.
Each of those five categories may differ across countries by their main characteristics, namely habitat,
maturity, the average size of each transaction, and risk. The rates on short-term loans are reported,
when specified, for maturities ranging from up to three months (Spain) to up to 18 months (Italy).
Long-term loans to enterprises refer to investment credit of over one year. Consumer loans include
overdrafts (e.g. Ireland), but usually correspond to a weighted-average of short-term credit lines,
personal loans, and longer-term installment credit. Housing and mortgage loans typically have a
longer maturity, specified over 18 months (Italy) to three (Spain) to five years (Germany, Portugal).
Finally, we restrict our analysis of deposits to theinterestrate on time deposits, which are the only
deposit rates that are available for a large enough number of countries.
We estimate the models on sample periods that excludes the turbulent years of the early 1990s, when
interest rates have been quite volatile, as they had to respond to a number of shocks, notably exchange
10
It is worth stressing that, while the levels of retail bank rates, and their spread with respect to market rates are not directly
comparable, the pass-through from market rates to retail bank rates is more comparable.
11
The series we use and a detailed description of their characteristics is available at www.ecb.int.
Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuro area
10
rate crises. This clearly appears in Charts 1 and 2. For most countries, the ERM crises of the early
nineties led either to out-liers (Ireland, Belgium, France, Italy) or to periods of high volatility of
market rates (Spain, Portugal, Finland). We trust that such turbulence can never take place in EMU.
Hence, for these countries, the sample period of estimation starts in 1994:4. For Germany and the
Netherlands the estimation sample starts in 1991:1. In Austria, which also was part of the core ERM,
the estimation starts in 1995:7 because retail bank rates are not available before.
12
Nevertheless, it can
not be excluded that our results are distorted by a change in yield curve effects.
Two final observations on the data are worth noting. First, Charts 1 to 4 indicate a clear downward
trend in all the market and retail bank interest rates inthe period prior to EMU. In addition to the
upturn, which took place after April 1999, the other main episode of rising interest rates corresponds
to the winter 1994 crash on bond markets which was triggered bythe February 1994 increase in the
Fed funds rate. Second, the well-known hierarchy inthe mark-ups across retail bank markets, i.e.
largest on consumer credit, lowest on mortgages with loans to firms in between, is widely observed
across countries.
5. Empirical estimations
5.1 Do lending rates depend on market rates?
The first step in our empirical analysis is to check whether banks insulate lending rates from market
conditions thanks to the funds collected as deposits. We look at this issue by investigating the extent to
which deposit rates have a predictive power with respect to lending rates. For that purpose, we
implement Fisher tests on the coefficients of market rates and deposit rates in equations of lending
rates such as:
∑ ∑∑∑∑
=
=
−
=
−−
=
−
=
−
+++++=
n
i
t
n
i
iti
n
i
itiiti
n
i
iti
n
i
itit
brmmrddxx
1
1
1
1
1
22212211 εγγββα
where x, mmr, br, d1, d2 are retail loan rate, the short-term and long-term market rates, interest rates
on deposits (time deposits, savings accounts or current accounts depending on the country), while
i
l is
alternatively theinterestrate on loans to firms (short and long), consumption credit and mortgages.
We test which interestrate Granger causes each of our four lending rates.
Results shown in Table 2 reveal that deposit rates are not relevant for interest rates on loans in a clear
majority of cases (25 out of 32 across the four types of loans). The 7 observations where the lags of at
least one deposit rate are relevant are concentrated in Austria (all markets but mortgages) and to some
extent in Belgium. In terms of markets, cases are concentrated in loans to firms, both short and long.
12
Inthe case of France where our data is quarterly, however, the full sample is extended to 1991:1 – 2001:4 (1998:1 onwards
for the EMU-sample).
[...]... concentration and retail interest rates, ECB Working Paper, 72 Cottarelli, C and A Kourelis, 1994, Financial structure, bank lending rates, andthetransmissionmechanism of monetary policy, IMF Staff Papers, 41, 4, 587-623 Cybo-Ottone, A and M Murgia, 2000, Mergers and Shareholder Wealth inin European Banking, Journal of Banking and Finance 24, pp 831-859 19 Interestratesettingbyuniversalbanksandthe transmission. .. rates and credit rationing: an application of unit root testing and error correction modelling, Applied Economics, 31, 267-277 Wong, K.P., 1997, On the determinants of bank interest margins under credit and interest rate risks, Journal of Banking and Finance, 21, 2, 251-271 21 Interestratesettingbyuniversalbanksandthetransmissionmechanismintheeuroarea Appendix on state dependent pricing... attributed to theuniversal nature of banking sectors in continental Europe, but rather to a longer term view of their “equilibrium” funding and opportunity costs related to their balance sheets 18 Interestratesettingbyuniversalbanksandthetransmissionmechanismintheeuroarea References (to be completed) Agresti and Claessens, 2002, mimeo ECB Altunbas, Y., 2001, Efficiency in European banking, European... direct interpretation as meaningful economic relations, and identifying restrictions have to be imposed To our view, imposing such restrictions would be too strong 12 Interestratesettingbyuniversalbanksandthetransmissionmechanismintheeuroarea Equation [6] relates the changes inthe retail rate to its own lags, the changes inthe long andthe shortterm market rates andthe error-correction term... patterns The immediate, i.e within one-month pass-through, from short and long-term market interestrate changes to retail bank interest rates differs across retail bank products, as shown by Charts 8 On the 14 Interestratesettingbyuniversalbanksandthetransmissionmechanismintheeuroarea corporate side, banks adjust their short-term loan rates more sluggishly than longer-term loans rates (on.. .Interest ratesettingbyuniversalbanksandthetransmissionmechanismintheeuroareaBy contrast to this very occasional relevance of deposit rates, the coefficients for short and/ or long term market rates contain quasi systematically valid information for lending rates On the basis of those properties, we vastly reject the buffer role of deposits for the pricing of loans and consider that banks. .. sheet 11 Interestratesettingbyuniversalbanksandthetransmissionmechanismintheeuroarea This mark-up is related to the multiplicative term [1 − 1 −1 ] in equation (5) Given the various εi maturities of the supplied financial instruments, those conditions are reflected by both short and longterm market interest rates In addition to be intuitive, the specification is appropriate to discriminate... Interest rate setting byuniversalbanksandthetransmissionmechanismintheeuroarea markets in Spain, Finland and Portugal For time deposit rates, the error-correction coefficients are found to vary between 20% and 50%, with the exception of Austria andthe Netherlands where the adjustment to equilibrium is slower Did EMU have an impact on the pass-through? (i) Assessing stability To assess the stability... within the US Similar type of results for European national retail bank markets were discussed in section 2 The effects of structural features of European national retail bank markets on bank’s pricing will be further investigated in a follow up to this paper 13 Interest rate setting byuniversalbanksandthetransmissionmechanismintheeuroarea 1999 The equation is then fit separately for the. .. downs turns 22 Interestratesettingbyuniversalbanksandthetransmissionmechanismintheeuroarea asymmetry inthe error correction mechanism2 2 ρ takes one of two values depending on whether the deviation from equilibrium term is positive or negative – that is, depending on whether the retail interest rate is above or below its long-run equilibrium value for given market rates The estimated relation . Interest rate setting by universal banks and the transmission mechanism in the euro area
1
Interest rate setting by universal banks and
the monetary policy. credit
Interest rate setting by universal banks and the transmission mechanism in the euro area
16
markets in Spain, Finland and Portugal. For time deposit rates,