Banks' noninterest income and securities holdings in a low interest rate environment: The case of Italy

Published date01 January 2021
AuthorPhilip Molyneux,Alessio Reghezza,Chiara Torriero,Jonathan Williams
Date01 January 2021
DOIhttp://doi.org/10.1111/eufm.12268
Eur Financ Manag. 2021;27:98119.wileyonlinelibrary.com/journal/eufm98
|
© 2020 John Wiley & Sons Ltd.
DOI: 10.1111/eufm.12268
ORIGINAL ARTICLE
Banks' noninterest income and securities
holdings in a low interest rate environment:
The case of Italy
Philip Molyneux
1
|Alessio Reghezza
2
|Chiara Torriero
3
|
Jonathan Williams
2
1
College of Business Administration,
University of Sharjah, Sharjah, UAE
2
Bangor Business School, Hen Goleg,
Bangor University, Bangor, UK
3
Dipartimento Vigilanza Bancaria e
Finanziaria, Banca d'Italia, Rome, Italy
Correspondence
Chiara Torriero, Dipartimento Vigilanza
Bancaria e Finanziaria, Banca d'Italia, Via
Nazionale 187, 00184 Rome, Italy.
Email: chiara.torriero@bancaditalia.it
Abstract
Using a sample of 440 Italian banks over the period
20072016, we find that low interest rates motivate
banks to expand their fee and commission income and
to restructure their securities portfolios. A granular
breakdown suggests that banks grow noninterest
income in various ways, including portfolio manage-
ment, brokerage and consultancy services and increase
fee income from current account and payment services.
In addition, banks rebalance securities portfolios away
from those held for tradingto securities available for
saleand held to maturity.Our findings allude to
different behavior between large and small banks: while
larger banks increase brokerage, consultancy and
portfolio management services, smaller banks generate
fees from customer current accounts.
KEYWORDS
fee and commission income, Italian banking sector, low interest
rates, securities, unconventional monetary policy
JEL CLASSIFICATION
E43; E44; E52; G21; F4
EUROPEAN
FINANCIAL MANAGEMENT
We thank John Doukas (the editor) and an anonymous referee for their insightful comments and suggestions. Reghezza
acknowledges financial support from the SchiavoneTantazzi family from whom he received a scholarship titled Dott.
Giuseppe Tantazziissued by the Rotary Club Genoa (distretto 2032). The views expressed in this paper are those of the
authors and should not be attributed to the organization they represent.
1|INTRODUCTION
Since the peak of the global financial crisis in 2008 and the ensuing economic downturn, the
European Central Bank (ECB), like other central banks, has implemented a range of un-
conventional monetary policy (UMP) measures to boost national economies. The measures
include nonstandard monetary policies, including largescale asset purchases, quantitative
easing, forward guidance and the negative interest rates policy (NIRP), and the outcome has
been historically low policy and/or official interest rates.
1
This has led policymakers to express
concern at the negative impact on bank margins and profitability (Alessandri & Nelson, 2015;
Molyneux, Reghezza, & Xie, 2019).
2
The impact of low interest rates on bank profitability is ambiguous because low rates lead to
opposite effects on various income statement items (Riksbank, 2016). Ceteris paribus, low policy
rates increase the demand and supply of credit that positively affect bank interest revenues.
Other expansionary monetary policies boost bank reserves, therefore, increasing the quantity of
available funds (Bernanke & Gertler, 1995). The reduced cost of capital can improve creditors'
ability to repay loans and, in turn, lessen loan losses (Altavilla, Boucinha, & Peydro, 2019).
Lower interest rates could generate gains on fixedincome securities,
3
but it depends whether
securities are held for trading, held to maturity or available for sale. For trading book securities,
gains feed directly to the income statement. whereas availableforsale securities are classified
as equity, and the effect of interest rate changes is zero if securities are held to maturity. In low
interest rate environments, banks may decide, on the one hand, to increase securities held for
trading to exploit interest rate cuts and realize gains on their trading portfolios. However,
protracted periods of low interest rates exhaust the possibility of further rate cuts, and this,
concomitantly with compressed margins and profits, may motivate banks to reshuffle their
securities portfolio from held for trading toward available for sale and/or held to maturity.
In low interest rate environments, banks might also try to expand fee and commission
income. Since fees and commissions are earned from a diversified array of services such as
noninterest income derived from transaction and credit services to brokerage and portfolio
management, identifying the link between interest rates and these items can be challenging.
There are two possible channels through which the interest rate environment influences fee
and commission income. Low yields can cause bank customers to demand more professional
services for the purpose of portfolio management (Albertazzi & Gambacorta, 2009). On the
supply side, low interest rates boost asset prices and volumes, which positively impacts fees
directly linked to servicing such business. Furthermore, in a low interest rate environment
banks' incentive to search for yield is stronger (Borio & Zhu, 2012; Rajan, 2006), which
influences banks to sell more services to customers to boost fee and commission income.
1
See; Bowdler and Radia (2012), Chen, Filardo, He, and Zhu (2016), CourThimann and Winkler (2013), Eser and
Schwaab (2016), Gambacorta, Hofmann, and Peersman (2014), Gertler and Karadi (2011), and Heider, Saidi, and
Schepens (2019) for an overview of the UMP literature.
2
Official rates in Italy are set by the ECB. The two main official rates are the marginal lending rate (the rate at which
banks can borrow from the ECB overnight) and the rate on the deposit facility (this is the interest banks receive or
have to pay in times of negative interest rates for depositing money with the ECB overnight). The marginal lending
rate fell from 5.25% in July 2008 to 0.4% by June 2014 and has gradually continued to fall to 0.25% by September 2019.
The deposit facility rate has fallen from 3.25% in July 2008, first went negative at 0.1% in June 2014 and has remained
negative since then, standing at 0.5% by September 2019. The euro interbank rate Euro OverNight Index Average
(EONIA) is the average interest rate for interbank 1day lending in euros. This fell from 3.72% in January in 2008 to
0.079% in January 2015 and has stayed negative (0.451%) up to September 2019.
3
This effect is just temporary. It reflects interest rate changes and disappears when the change is over.
MOLYNEUX ET AL.EUROPEAN
FINANCIAL MANAGEMENT
|
99

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex