RDP 2023-05: The Impact of Interest Rates on Bank Profitability: A Retrospective Assessment Using New Cross-country Bank-level Data 5. Data Description
June 2023
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The current project is conducted under the auspices of the IBRN, a network of central bank researchers who focus on global banking. To examine the impact of interest rates on banks' profitability, we rely on confidential bank-level data. Each country's data are only available to subject matter experts from that country's central bank and we rely on the expert judgement of each contributor to construct the most appropriate sample for their jurisdiction.
Details of the sample for each country are provided in Table 1. Around 1,500 banks across the 10 jurisdictions are examined, with a bank broadly defined as an institution whose business is to receive deposits and/or close substitutes and grant credits or invest in securities on their own account. Most jurisdictions use data at a quarterly frequency, although some use semiannual and annual data. Seven countries use unconsolidated banking data, with the decision to rely on consolidated versus unconsolidated data left to subject matter experts from each central bank. While most data series start in the early 2000s or earlier, for Sweden they start only in 2010.
AUS(a) | CAN | CHL | CZE | FRA | DEU | NOR | POL | SWE | CHE | |
---|---|---|---|---|---|---|---|---|---|---|
Start date | 2003 | 1994 | 2004 | 2002 | 2000 | 2000 | 2000 | 2000 | 2010 | 2000 |
Frequency | QoQ | QoQ | QoQ | QoQ | HoH | YoY | YoY | QoQ | YoY | YoY |
No of banks | 181 | 76 | 13 | 21 | 562 | 203 | 221 | 23 | 56 | 104 |
No of time periods | 68 | 104 | 62 | 72 | 40 | 20 | 20 | 80 | 10 | 20 |
Consolidation | C | C | UC | UC | UC | UC | UC | UC | C | C |
Low-rate threshold | 2.0 | 1.2 | 2.8 | 0.5 | 1.2 | 1.2 | 1.6 | 1.9 | 0.9 | 0.2 |
Negative rates | No | No | No | No | Yes | Yes | No | No | Yes | Yes |
Windsorisation (%) | 1 | 1 | 1 | 1 | 10 | 1 | 0.5 | 1 | 5 | 1 |
Notes: International Monetary Fund country abbreviations: AUS: Australia; CAN: Canada; CHL:
Chile; CZE: Czech Republic; FRA: France; DEU: Germany; NOR: Norway; POL: Poland; SWE: Sweden;
CHE: Switzerland. Source: Contributing central banks |
Table 2 provides a full list of variables used in our analysis. Unlike previous studies, our definition of a ‘low-rate environment’ is country-specific, defined as the 25th percentile of each country's historical rate distribution. In choosing the most appropriate time period over which to define ‘low’ rates we again rely on our participating subject matter experts, with the sample period not necessarily the same as that shown in Table 1. The low-rate threshold for each central bank is plotted in Figure 1.
Term | Definition |
---|---|
Panel A: Dependent variables | |
Return on assets (ROA) | The ratio of net income expressed as a percentage of average total assets (ATA). |
Net interest margin (NIM) | The ratio of net interest income (NII) expressed as a percentage of average interest earning assets (AEA). NII includes gross interest and dividend income minus total interest expense. AEA is the sum of total loans, total securities, investments in property and earning assets not otherwise categorised, including non-current assets held for sale which are not loans. |
Non-interest income (Non-II) | The ratio of Non-II expressed as a percentage of ATA. Non-II is the value of operating income from continuing operations for the reporting period, excluding the value of interest income and interest expense. |
Loan-loss provisions (LLP)(a) | The ratio of LLPs (or impairment expenses) to cover non-performing loans expressed as a percentage of ATA. This is a flow item from the income statement. |
Panel B: Variables of interest | |
Short-term interest rate | Three-month interbank rate. |
Spread | Difference between the 10-year sovereign bond yield and the 3-month interest rate. |
Low-rate dummy variable | Equal to 1 when the 3-month interbank rate is in the first quartile of the country-specific historical rate distribution. |
Lower-for-longer variable | The number of consecutive years that a country's 3-month interest rate is in the ‘low’ period. |
Large bank dummy(b) | Equal to 1 if the bank is in the group of global banks that made the main G-SIB assessment sample. |
Panel C: Baseline bank controls | |
Deposits over liabilities | The ratio of deposits and short-term funding (STF) expressed as a percentage of total liabilities. Deposits and STF include total customer deposits, deposits from banks, money market instruments, certificates of deposit and other deposits. |
Liquid assets over total assets | The ratio of cash, liquid assets and securities expressed as a percentage of ATA. Securities include reverse repos and cash collateral, trading securities, all in-the-money trading derivatives and derivatives recognised for hedging (less the value of netting arrangements), available for sale securities, held to maturity securities, at-equity investments, and other securities. |
Equity ratio | The ratio of total equity expressed as a percentage of ATA. Total equity includes common equity, non-controlling interest, securities revaluation reserves, foreign exchange revaluation reserves, and other revaluation reserves. |
Panel D: Baseline macro controls | |
Real GDP growth | Year-on-year growth in real GDP. |
CPI growth | Year-on-year inflation. |
Housing price growth | Year-on-year growth in housing prices (apartments and houses). |
Notes: (a) Canada uses the stock of provisions. Source: Contributing central banks |
Trends in profitability for the mean and median banking systems in the sample are plotted in Figure 2. Despite the broad-based decline in short-term interest rates over the sample, on average across the countries examined in this paper, banks' ROAs were largely unchanged over the sample, although volatile around the financial crisis in 2008. By contrast, the median NIM has been declining over the past decade, consistent with the decline in policy rates. For both the NIM and ROA the median is more volatile than the mean, suggesting there is substantial heterogeneity in country experiences.
For a cursory and preliminary look at the association between changes in interest rates and profitability, Figures 3 and 4 plot the period-to-period change in NIMs and ROAs against the change in interest rates for the mean bank in all countries. There appears to be a positive association between changes in interest rates and banks' NIMs; however, there is no equivalent relationship for banks' ROAs. This preliminary evidence, along with the trends presented in Figure 2, is consistent with the idea that banks' may have shielded the impact of lower rates on overall profitability by increasing fee-based business and reducing costs. This notwithstanding, these bivariate associations fail to control for a host of relevant factors, including country and bank fixed effects as well as other relevant balance sheet controls, motivating our much more careful assessment of these relationships in the next section.