SPEECH
The banking channel of monetary policy
tightening in the euro area
Remarks by Philip R. Lane, Member of the Executive Board of the
ECB, at the Panel Discussion on Banking Solvency and Monetary
Policy, Summer Institute 2023 Macro, Money and Financial Frictions
Workshop
Cambridge, Massachussetss, 12 July 2023
Introduction
1 ]
I will focus in this speech on the banking channel of monetary policy.[ Starting in December 2021 with the
announcement that net purchases under the pandemic emergency purchase programme (PEPP) would
end in March 2022, the ECB has been tightening its monetary policy stance in response to the
extraordinary surge in inflation amid the pandemic shutdowns, supply bottlenecks and, most importantly,
the energy crisis triggered by Russia's unjustified war against Ukraine.
For a given inflation outlook, the appropriate level and duration of a restrictive monetary policy stance
depends on how powerfully and how quickly the economy responds to the tightening of monetary policy. In
view of the predominant role of the banking system in credit provision in the euro area, how banks
respond to monetary policy is a central issue in assessing the strength of the transmission mechanism.
Accordingly, in our data-dependent approach to calibrating monetary policy, assessing the strength of the
banking channel of monetary policy tightening is a first-order task for the ECB.
I will discuss some of the challenges in forming a quantitative assessment of monetary policy transmission
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via the banking channel.[ First, I will briefly review the various channels through which banks affect the
transmission process. Second, I will assess how the considerable amount of monetary policy tightening
injected over the last year is being transmitted in the euro area.
The bank-based transmission of monetary policy
Monetary policy affects investment and consumption decisions by setting the level of market interest rates
and thereby steering borrowing costs across all economic sectors: this is the "cost-of-capital" channel.
When banks pass on changes in the policy rate to their borrowers, the real economy is affected via the
investment and production plans of firms, as well as through the decisions of households to financing
consumption and real estate. Since for many firms and households the interest rates that matter most are
the lending rates and deposit rates set by banks, the pass-through of policy rates to bank lending and
deposit rates is a basic step in monetary policy transmission.
In addition to the transmission via interest rates, there are amplification mechanisms that work via the
cost, the availability, and the quality of credit and that are able to generate relatively large real effects even
with relatively small monetary policy changes. The main amplification mechanisms operating via banks are
the balance sheet channel, the bank lending channel and the risk-taking channel.
The balance-sheet channel of monetary policy predicts that a policy rate hike tends to compress asset
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prices and weaken activity, thus lowering the net worth of borrowers.[ This translates into a reduced
capacity to raise external funding for firms: the increase in the external finance premium faced by
borrowers due to a decline in net worth and pledged collateral decreases spending and investment by
more than what is predicted by a short-term policy rate change in a framework abstracting from the
balance sheet channel. The same channel also affects households whose net worth is closely linked to
house prices. The lower value of collateral during a policy tightening therefore triggers higher credit risk
and tighter credit conditions for both firms and households.
The bank-lending channel focuses on the impact of policy tightening on the supply of bank loans to the
economy. First, the supply of loans offered by banks is adversely affected by monetary policy tightening
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via an increase in bank funding costs.[ Second, borrower-lender agency costs further reduce the
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willingness of banks to lend during periods of higher monetary policy rates or lower economic activity.[
Third, bank balance sheet constraints amplify the contraction in credit availability brought about by policy
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tightening.[ Broadly speaking, higher interest rates increase the opportunity cost of holding the most
liquid assets - overnight deposits - compared with less liquid assets such as term deposits or securities.
Moreover, the unwinding of asset purchases and long-term refinancing operations currently lead to a direct
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decline in the liquidity available to banks, limiting their capacity to supply credit.[
8 ]
The third amplification mechanism is the risk-taking channel of monetary policy.[ This is the channel
through which banks are incentivised to make riskier investments in an environment of lower interest
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rates, which reduces incentives to engage in costly monitoring.[ In addition, asset purchases
programmes extract duration risk from the market, increasing the relative attractiveness of riskier
investments and therefore triggering a portfolio rebalancing that ultimately leads to a reallocation towards
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real investments.[ As such, during the period of highly accommodative monetary policy, this may have
led banks to build up a stock of risky investments. The opposite dynamic may not be operating, as
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declining risk tolerance can lead to a contraction in the supply of credit.[
Each of the components of the banking channel can interact with each other and generate self-reinforcing
mechanisms that further amplify the impact of the initial policy impulse on credit conditions. For instance,
following a monetary policy tightening, decreased bank risk tolerance coupled with weaker borrower net
worth may affect bank profitability and capital and therefore amplify supply constraints via the bank lending
channel. Moreover, general equilibrium effects also interact with the bank lending channel. Strong
economic conditions can provide countervailing factors that attenuate the impact of monetary policy, while
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weak macroeconomic conditions may amplify the strength of monetary policy tightening.[ In particular,
as aggregate demand falls in response to higher interest rates, banks face both lower demand for loans
and a deterioration in borrower credit risk which further weigh on bank balance sheets. These additional
factors may further strengthen the bank lending channel of monetary policy.
This brief review of the role of banks in monetary policy transmission has highlighted that the balance
sheet channel, the bank lending channel, and the risk-taking channel may be relevant in the transmission
of the current hiking cycle. In addition, amongst other mechanisms, the rise in bank funding costs and the
drop in liquidity may lead to a contraction in credit supply, adversely affecting bank-dependent firms and
households. Next, I will review the incoming evidence on the strength of monetary policy transmission via
the banking system during the current tightening cycle.
Measuring the banking channel of monetary policy tightening
I now turn to an assessment of the incoming information on how the banking channel is operating during
the current tightening cycle in the euro area. In June 2022, the ECB announced that it would start to
increase its policy rates from July onwards. However, it had already started unwinding its highly
accommodative monetary policy stance in December 2021, by announcing a step-by-step reduction in the
pace of net asset purchases, which pushed up yields of longer-dated assets from early 2022 onwards.
Against the backdrop of the tightening of monetary policy, the pass-through to bank funding costs has
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(Chart 1).[
proceeded rapidly, most notably for yields on bank bonds Deposit rates contained the rise in
the interest rate expenses of banks during the initial phase of the tightening cycle. This initial sluggishness
was in part driven by an atypical configuration of interest rates during the negative rates period, in which
many banks kept deposit rates higher than the policy rate (Chart 2, right panel). After this initial period,
interest rates on term deposits have followed the policy rate, while the remuneration of overnight deposits
has remained lower. Overall, these patterns were also seen in past periods of positive interest rates
(Chart 2, left panel).
The limited increase in overnight deposit rates has incentivised depositors to rebalance their portfolios
towards time deposits, after the prolonged period of low interest rates and low term premia in which the
opportunity cost of holding overnight deposit had been negligible. Comparing developments in the euro
area and the United States, while the pass-through to overnight deposit rates is limited in both
jurisdictions, the transmission to time deposits has been considerably stronger in the euro area (Chart 2).
Chart 1
Euro area bank funding costs
(percentages)
Sources: ECB (BSI, MIR), IHS Markit iBoxx and ECB calculations.
Notes: Daily bank bond yields. Monthly deposit rates on new business volumes weighted by outstanding amounts.
Composite funding cost, calculated as a weighted average of the cost of deposits and market debt funding, with the
respective outstanding amounts on bank balance sheets used as weights.
The latest observations are 4 July 2023 for bond yields and May 2023 for BSI and MIR.
Chart 2
Deposit rate pass-through in the euro area and the United States
(percentages per annum)
Sources: ECB (MIR, FM), RateWatch, FDIC and ECB calculations.
Notes: US policy rate is the Federal Fund Rate. Left panel: time deposits are the average rate on a 12-month CD with
a minimum of USD10,000. Checking rates are the average rate on a USD 2,500 minimum checking account. Right
panel: time deposits are national rates on 12-month CD for non-jumbo deposits (< USD 100,000). Checking rates are
national rates on non-jumbo deposits. The ECB policy rate is the MRO up to May 2014 and the DFR thereafter.
The latest observations are June 2023 for policy rates and May 2023 for deposit rates.
In addition to the increases in the key policy interest rates, the gradual unwinding of the asset purchase
programme (APP) and the phase-out of targeted longer-term refinancing operations (TLTRO III) have also
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played a role in the transmission of monetary policy through banks.[ In February this year, we moved to
partial reinvestments under the APP before fully ending reinvestments in July. The ensuing decline in
bonds held by the Eurosystem reduces the amount of duration extraction associated with the outstanding
bond portfolio, and thereby increases term premia. The resulting increase in long-term interest rates
pushes up the pricing of bank loans, ultimately increasing lending rates for firms and households. In
addition, the higher yields on bonds increase their attractiveness as an investment for banks, reducing
their incentives to supply loans.
Chart 3
Impact of the ECB's monetary policy asset portfolio and TLTRO III on bank lending
conditions
(net percentages)
Sources: ECB Bank Lending Survey (BLS).
Notes: Chart shows the net percentage of banks reporting that changes in the ECB's monetary policy asset portfolio
and TLTRO III had (a) a positive impact on lending volumes and (b) contributed to an increase in their liquidity over the
relevant six-month period. The final period denotes expectations.
The latest observation for the BLS is the first quarter of 2023.
The phase out of TLTRO III has led banks to partially substitute TLTRO loans with more expensive
sources of funding. While a large share of the voluntary early repayments at the end of last year and early
this year was financed out of outstanding excess liquidity, banks have been more recently raising
alternative funding to cover maturing TLTRO loans, in particular in light of the large amount which matured
in June. The need to replace TLTRO funding requires the issuance of more costly bonds and leads to
greater competition in deposit markets to attract funding. Furthermore, the recalibration of TLTRO in
October 2022 increased the cost of TLTRO borrowing, and restored incentives for voluntary early
repayments. The resulting increase in bank funding costs put upward pressure on lending rates and
downward pressure on credit supply.
Moreover, the winding down of both the TLTROs and the asset purchases has contributed to a rapid
reduction in the central bank excess liquidity available to banks. The combined effect of this outright
reduction in liquidity adds downward pressure on the supply of credit by banks, as already evident in
survey data (Chart 3). In contrast to the expansion phase, banks now report that the ECB monetary policy
asset portfolio and the TLTRO III programme are associated with lower expected lending volumes, as well
as tighter expected credit standards and more restrictive terms and conditions.
Turning to the lending rates for firms, the pass-through of tighter monetary policy to overall financing
conditions has been strong. Higher bank funding costs translated into a strong increase in lending rates to
non-financial corporations, although spreads relative to risk-free rates were somewhat compressed.
Lending rates started to increase in June 2022 ahead of the first ECB rate hike. Compared with past hiking
cycles, the current campaign has seen the most prominent lending rate increase in the euro area - in
terms of both speed and magnitude, also reflecting the unprecedented speed and magnitude of policy rate
increases (Chart 4).
At the same time, loan volumes in the euro area have weakened sharply starting from the end of 2022.
Credit flows have remained stagnant on aggregate for loans and bonds, with some substitution between
the two sources of financing (Chart 5, left panel). The weakening in credit has been stronger than in past
hiking cycles and, while this is partly driven by the unprecedented pace of policy tightening, a model-
based simulation confirms that loan volumes turned around faster than what would have been expected
based on historical regularities, given the path of monetary policy hikes since December 2021 (Chart 5,
right panel).
Chart 4
Lending rates to firms across hiking cycles
(x-axis: years; y-axis: cumulative changes in percentage points)
Sources: ECB (MIR) and ECB calculations.
Notes: The ECB relevant policy rate is the Lombard rate up to December 1998, the MRO up to May 2014 and the
DFR thereafter. t marks the start of each hiking cycle.
The latest observations are May 2023 for lending rates and June 2023 for the policy rate.
Chart 5
Firm debt financing flows and BVAR simulation of changes in lending volumes
(left panel: average monthly flows in EUR billions; right panel: x-axis: years, y-axis: growth rate of credit in deviation
from its growth rate at the start of the cycle (t), in percentage points)
Sources: ECB (BSI, CSEC) and ECB calculations.
Notes: MFI loans are adjusted for sales and securitisation and cash pooling. The seasonal adjustment of the net
issuance of debt securities is not official. Starting months correspond to the month immediately preceding the first hike
or explicit announcement of the hike of the cycle. The dotted line corresponds to a BVAR counterfactual for lending
volumes, taking December 2021 as the last observation and projecting volumes conditional on the path of monetary
policy rates. The type of BVAR used is the one by Altavilla Giannone, and Lenza (2016).
The latest observations are for May 2023.
The current tightening cycle has been broadly synchronised among major advanced economies but the
downturn in lending dynamics has been starker in the euro area than in the United States, despite the later
start of the hiking cycle and smaller magnitude of rate hikes to date (Chart 6, right panel). In both the euro
area and the United States, the weakening of loan volumes was associated with a strong tightening of
credit standards, as reported by banks in the euro area Bank Lending Survey (BLS), and in the US Senior
Loan Officer Opinion Survey (SLOOS) (Chart 6, left panel). This evidence points to tighter loan supply in
both economies. This tightening combines the reversal of previously highly accommodative conditions and
the further shift into more restrictive territory in recent times.
Chart 6
Change in credit standards and corporate loan dynamics for United States and the euro
area
(left panel: net percentages, right panel: left: three-month annualised growth rates, right: percentages per annum)
Sources: Haver analytics and ECB (BLS, BSI).
Notes: Credit standards for the United States correspond to the Senior Loan Officer Opinion Survey on bank lending
practices, net percentage of domestic respondents tightening standards for Commercial and Industrial loans for large
and medium banks. The right panel shows loans and leases of domestically chartered banks for the United States.
The latest observations are for the first quarter of 2023 for credit standards, May 2023 for loans and June 2023 for
rates.
Of course, loan volumes and lending rates are the product of both credit demand and credit supply forces.
Establishing the respective contributions is crucial to understand the underlying sources of credit
fluctuations, even if the underlying credit demand and credit supply schedules are unobservable. While the
evidence from surveys and aggregate data is useful in showing in which direction credit conditions are
travelling more broadly, confounding factors might pose difficulties in interpreting aggregate measures.
Indeed, looking at historical regularities, there is a clear positive correlation between lower bank-level loan
demand and the tightening of credit standards. This is due to several factors. For instance, firms may ask
for fewer loans when their expectations on the economy deteriorate. This may lead to an overestimation of
the role of credit supply if credit demand is not properly estimated. At the same time, banks may informally
discourage their clients from applying for loans and therefore not explicitly reject them. In this case,
considering only the part of credit supply that is not related to credit demand would be an overly
conservative approach that captures only part of the actual change in credit supply.
Increased cost of market-based financing and the phase-out of TLTROs has led to a contraction in bank
credit supply (Chart 7, left panel). Empirical analysis that uses granular data to control for broader
demand conditions and thereby extracts a pure supply shock finds that both the reduction in TLTRO funds
and the increase in bank bond yields lead to a significant reduction in loan supply. Specifically, the
empirical estimates suggest that the decline in TLTRO since the recalibration in October 2022 reduced
quarterly loan growth by about 0.5 percentage points, while the average increase in bank bond yields
since the first rate hike in July 2022 led to a 1.1 percentage point lower quarterly loan growth.
Chart 7
Drivers of loan supply restrictions and Loan Supply Indicator
(left: percentage points, right: index)
Sources: ECB (AnaCredit, iBSI, MOPDB), IHS Markit iBoxx, and ECB calculations.
Notes: Coefficients from a regression of three-months ahead loan supply shocks (as in Amiti and Weinstein 2018), on
TLTRO over assets, and level of bank bond yields, and bank fixed effects and country-time fixed effects. Sample
December 2019 to November 2022. Standard error clustered at the country-time level. The right panel shows the
16 ]
Loan Supply Indicator (LSI) as in Altavilla, Darracq-Paries and Nicoletti (2019) and a smoothed version of it.[
The latest observations are November 2022 for the left chart and the first quarter of 2023 for the LSI.
The role of credit supply can also be isolated by using soft information from surveys. Individual replies to
the Bank Lending Survey can be used to construct a Loan Supply Indicator (LSI) that purges credit
standards from changes in loan demand and prevailing macroeconomic conditions (Chart 7, right panel).
[ 17 ]
This indicator allows us to gauge how much of the observed slowdown in credit conditions is due to
supply effects over and above the impact of monetary policy on credit demand. The indicator shows a
marked contraction in loan supply since the start of the tightening cycle. This shift in loan supply conditions
is even more remarkable in view of the highly accommodative loan supply environment in the years before
the pandemic.
Credit supply restrictions typically lead to a significant drop in real economic activity. Augmenting a macro-
financial empirical model with the LSI indicates that a credit supply shock leading to a 1 percentage point
decline in loan volumes results in a 0.3 percentage point reduction in real GDP (Chart 8). A meta-analysis
shows that this quantification is in line with the results of other empirical studies that use different models
and cover different sample periods and jurisdictions. Overall, the results indicate that a credit supply shock
leads to a contraction in the volume of credit intermediated by banks that in turn generates a substantial
reduction in output, compared to the baseline path.
Chart 8
The impact of credit supply shocks on real GDP
(percentage points)
Sources: Gilchrist, S. and Zakrajšek, E. (2011); Barnett, W. A. and Thomas, R. L. (2014); Mumtaz, H., Pinter, G., and
Theodoridis, K. (2018); Basset, C. et al. (2014); Altavilla, C., Darracq Paries, M., and Nicoletti, G. (2019); Chen, K.,
Higgins, P., and Zha, T. (2021); Gambetti, L. and Musso, A. (2017); Mendicino, C. et al. (2019); Jermann, U. and
Quadrini, V. (2012); Gerali, A. et al. (2010); Darracq Paries, M., Kok Sorensen, C., and Rodriguez-Palenzuela, D.
(2011); World Economic Outlook, IMF (2023); Barauskaitė, I. et al. (2022); Moccero, D. N., Darracq Paries, M., and
[ 18 ]
Maurin, L. (2014); Ciccarelli, M., Maddaloni, A., and Peydro, J.-L. (2015).
Notes: The chart shows the distribution of the impact on real GDP of a credit supply shock across studies. The vertical
line represents the estimate obtained by using the LSI as an external instrument in a Bayesian vector autoregressive
(BVAR) model to quantify the impact of a credit supply shock on real GDP growth. The solid blue line shows the kernel
density of the distribution of 15 estimates, truncated at the minimum and maximum estimate. The x-axis shows the
percentage ppomt decline in GDP cumulated over a three-year horizon of a credit supply shock that reduces loan
growth by 1 percentage point. The median impact across studies is -0.3 percentage point and coincides with the
results of the LSI augmented BVAR.
Factors affecting the strength of the banking channel
Let me now discuss potential factors that in the current environment can either attenuate or amplify the
banking channel of monetary policy, starting with three specific characteristics of this policy cycle.
First, the current tightening consists of both permanent and temporary components. On the one hand, it
involved the unwinding of the extraordinarily supportive monetary policy measures that were in place since
2014 in order to combat chronic below-target inflation and mitigate the downside risks during the
pandemic. In the absence of new shocks that would drive the economy back towards the lower bound, the
policy rate is expected to settle at around two per cent in the medium term and extraordinary measures
such as large-scale quantitative easing and targeted lending programmes are not expected to be re-
introduced. It follows that this normalisation component is expected to be essentially permanent in nature.
On the other hand, the hike of policy rates into restrictive territory during the first half of this year reflects a
more temporary component of the tightening cycle. While the ECB will set policy rates at sufficiently
restrictive levels for sufficiently long to ensure a timely return of inflation to our medium-term two per cent
target, the restrictive component of monetary policy will ultimately be unwound in order to stabilise inflation
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at our target rather than unleashing a subsequent phase of chronically below-target inflation.[ Before the
surge in inflation, it had been widely expected that the "low for long" policy configuration would have
persisted for several more years. Hence, the permanent component of the current tightening cycle might
amplify the banking channel compared to other tightening episodes which only featured a purely cyclical
tightening. In particular, banks may more extensively re-assess credit supply policies in reaction to the
permanent shift in the underlying monetary policy stance.
Second, the current environment of ample liquidity alters the mechanics of the monetary tightening relative
to previous tightening cycles that took place within policy frameworks in which the banking system
operated with a structural liquidity deficit. While the ECB balance sheet is shrinking, the de facto
operational framework for monetary policy is still underpinned by ample liquidity whereby the deposit
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facility rate determines money market conditions.[ The movement of the DFR into positive territory may
induce a "cold potato" effect, in that banks are incentivised to hold on to funds as the DFR is now positive,
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contrasting with the period of negative interest rates.[ At the same time, the significant decline in excess
liquidity as a result of the contraction in the ECB balance sheet may lead to greater heterogeneity in
money market conditions, especially since the distribution of the excess liquidity is uneven across banks.
In turn, this means that the responses to rate hikes are likely to be increasingly heterogeneous across
euro area banks and across member countries, with associated implications for the overall impact of
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monetary policy tightening on the aggregate euro area economy.[
Third, the strength of the banking channel of monetary policy plausibly differs across supply-driven and
demand-driven inflationary episodes. The fading of a temporary demand shock is associated with lower
incomes and output, amplifying the transmission of monetary policy through the banking channel. In
contrast, the fading out of temporary supply shocks boosts incomes and supply capacity. Currently, this is
the case for the reversal of the surge in energy prices, the easing of supply chain bottlenecks, as well as
the post-pandemic re-normalisation of sectoral supply and demand conditions. In one direction, the
unwinding of a temporary supply shock puts downward pressure on inflation, reducing the scale of
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monetary tightening that is required to return inflation to the medium-term target in a timely manner.[ In
the other direction, the recovery in incomes attenuates some of the transmission mechanisms via the
banking sector, which should also be taken into account in the calibration of monetary policy.
We can turn to asking which factors can affect the effectiveness of our monetary policy, through these
various channels. In general, all else equal, there has been a substantial reduction in financial tail risks on
account of the improvements in the balance sheets of firms and households that were generated by
pandemic-related fiscal transfers and the excess savings accumulated during pandemic shutdowns. The
curtailment of tail risks means that monetary policy is more likely to transmit in an orderly manner, rather
than be disrupted by the emergence of systemic financial stress. Indeed, the health of the balance sheets
of euro area firms and households is reflected in the only-limited deterioration in borrower defaults
observed so far in this tightening cycle.
For firms, in addition to the aggregate improvement in balance sheets, relatively high profits over the last
year and elevated liquid holdings could act as possible countervailing factors. However, there is
substantial variation across firms. The data show that the firms with higher profit growth and higher
accumulated cash tend to be those with relatively lower leverage. In other words, the aforementioned
possible mitigating factors would not benefit firms that most need them: highly leveraged firms still remain
exposed to credit tightening. Moreover, the expected moderation of firm profits over time could strengthen
transmission.
In addition, granular data suggest that younger and smaller firms have been disproportionately affected by
the decline in bank lending (Chart 9). Historically, such firms have been the first to suffer contractionary
credit supply shocks. The more substantial contraction of lending dynamics for young and small firms can
be interpreted as an indicator of a broader credit supply tightening, where banks start protecting their
balance sheets against a deterioration of the payment capacity of borrowers. Given the risk of adverse
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selection, banks opt to reduce credit supply volumes rather than simply raise lending rates.[
Furthermore, the finding that smaller firms have seen a larger tightening of credit standards is particularly
relevant in view of the central role that SMEs play in the transmission of monetary policy in the euro area,
particularly through the bank lending channel. Such firms, which account for a large share of employment
in the euro area, tend to be more reliant on banks for lending and thus are more likely to experience
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funding shocks when banks restrict supply.[
Chart 9
Bank loan volumes of fringe firms relative to the total market since the policy hike
(ratios to overall market developments)
Sources: ECB (CSEC, AnaCredit, RIAD), Orbis and ECB calculations. Notes: The chart compares loan rate and
volume dynamics of small and young firms relative to general market movements around the start of the hiking cycle
in July 2022 based on merged AnaCredit-Orbis data. The series are standardised by overall market developments in
rates and volumes, and subsequently to unity at the start of the hiking cycle.
The latest observation is for March 2023.
In assessing the impact of monetary policy tightening on both broader credit risks and the funding
environment, the growing interconnections between non-bank financial intermediaries and the euro area
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banking system require close monitoring.[ These links account for nine percent of total assets and 14
per cent of total liabilities of significant banks in the euro area on average. It follows that shocks to the
non-bank financial sector could increase the credit risks and/or the funding costs of the euro area banking
system. In particular, since higher interest rates broadly reduce the value of assets held by non-bank
financial intermediaries and increase the funding costs of firms that are dependent on market-based
financing, these interconnections represent an important channel through which monetary policy tightening
affects the euro area banking system. Furthermore, since non-banks have become increasingly significant
credit providers in recent years (especially in some market segments), a contraction in credit supply by
non-banks should be incorporated in an overall assessment of monetary transmission, in addition to credit
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supply intermediated by banks.[
On the household side, the changing composition of household balance sheets may affect the strength of
the transmission of monetary tightening via banks. In one direction, gross debt to income ratios, which
measure debt servicing capacity, are now higher than in the 2000 and the 2005 tightening episodes, which
would tend to strengthen transmission (Chart 10). In the other direction, there is a now a higher share of
fixed rate mortgages across the euro area, which could reduce the speed of transmission through the
cash-flow channel. However, looking at how the current rate increases have translated into higher rates on
the stock of mortgages, the difference relative to the past hikes does not seem substantial. In other words,
there is no evidence of a more muted pass-through of higher rates to overall mortgage lending.
In relation to the interconnection between housing markets and the banking channel, residential property
makes up a high portion of household wealth. Data for the first quarter of 2023 show a marked slowdown
in the annual growth rate of nominal house prices for the aggregate euro area and outright nominal price
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declines in some countries.[ Reflecting this, the contribution of changes in real estate asset holdings
towards the growth in household net worth has declined. The adverse impact of declining asset values on
household net worth suggests a more powerful balance sheet channel, with banks more reluctant to offer
mortgages or other credit to home-owning households.
Looking more br