The benchmark interest rate in Mexico was last recorded at 7.75 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The inflation rate in the United States declined significantly between June 2022 and June 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at *** percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at **** percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to **** percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was ****** percent, up from ****** a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In June 2024, the European Central Bank (ECB) began reducing its fixed interest rate for the first time since 2016, implementing a series of cuts. The rate decreased from 4.5 percent to 3.15 percent by year-end: a 0.25 percentage point cut in June, followed by additional reductions in September, October, and December. The central bank implemented other cuts in the first half of 2025, setting the rate at 2.15 percent in June 2025. This marked a significant shift from the previous rate hike cycle, which began in July 2022 when the ECB raised rates to 0.5 percent and subsequently increased them almost monthly, reaching 4.5 percent by December 2023 - the highest level since the 2007-2008 global financial crisis. How does this ensure liquidity? Banks typically hold only a fraction of their capital in cash, measured by metrics like the Tier 1 capital ratio. Since this ratio is low, banks prefer to allocate most of their capital to revenue-generating loans. When their cash reserves fall too low, banks borrow from the ECB to cover short-term liquidity needs. On the other hand, commercial banks can also deposit excess funds with the ECB at a lower interest rate. Reasons for fluctuations
The ECB’s primary mandate is to maintain price stability. The Euro area inflation rate is, in theory, the key indicator guiding the ECB's actions. When the fixed interest rate is lower, commercial banks are more likely to borrow from the ECB, increasing the money supply and, in turn, driving inflation higher. When inflation rises, the ECB increases the fixed interest rate, which slows borrowing and helps to reduce inflation.

Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their co...

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The data and code in this replication package reproduce all tables, figures, and all numbers that appear in the text in our manuscript "When Interest Rates Go Low, Should Public Debt Go High?". The package consists of two parts. The first part numerically solves the OLG models presented in Section 3 through 5 and generates all of the 10 figures, 6 tables as well as calibrated structural parameters in the paper using Matlab. The second part employs three data sources to compute the calibration targets in Section 5 in the paper using R. The replicator should run each part separately, with the first taking approximately 4-5 hours on an 8-core CPU and the second less than 1 minute.

The interest rate spread describes the difference between the amount of interest a bank receives on the money it lends out and the amount it gives to depositors for leaving their funds with the bank. This spread is at the core of how banks are able to make profits, as they tend to lend at a higher rate than at which they pay for deposits. As global interest rates declined in the early 2000s, so too did the interest rate spread, reflecting the inability of banks to go below the zero lower bound on deposit rates and increased competition among banks to attract customers.

Graph and download economic data for Daily Sterling Overnight Index Average (SONIA) Rate (IUDSOIA) from 1997-01-02 to 2025-08-06 about Sterling, sonia, overnight, average, interest rate, interest, rate, and indexes.

The benchmark interest rate in Poland was last recorded at 5 percent. This dataset provides - Poland Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Savings Bond Value Files dataset is used by developers of bond pricing programs to update their systems with new redemption values for accrual savings bonds (Series E, EE, I & Savings Notes). The core data is the same as the Redemption Tables but there are differences in format, amount of data, and date range. The Savings Bonds Value Files dataset is meant for programmers and developers to read in redemption values without having to first convert PDFs.

This paper models the dynamics of Chinese yuan–denominated long-term interest rate swap yields. It shows that the short-term interest rate exerts a decisive influence on the long-term swap yield after controlling for various macrofinancial variables, such as core inflation, the growth of industrial production, the percent change in the equity price index, and the percentage change in the Chinese yuan exchange rate. The autoregressive distributed lag approach is applied to model the dynamics of the long-term swap yield. The findings reinforce and extend John Maynard Keynes’s conjecture that in advanced countries, as well as emerging market economies such as China, the central bank’s actions have a decisive role in setting the long-term interest rate on government bonds and over-the-counter financial instruments, such as swaps.

Indonesia Core FSI: Deposit Takers: Non-Interest Expenses to Gross Income data was reported at 45.858 Unit in Dec 2024. This records an increase from the previous number of 44.174 Unit for Sep 2024. Indonesia Core FSI: Deposit Takers: Non-Interest Expenses to Gross Income data is updated quarterly, averaging 46.543 Unit from Jun 2005 (Median) to Dec 2024, with 60 observations. The data reached an all-time high of 178,861,155.000 Unit in Dec 2011 and a record low of 40.672 Unit in Mar 2021. Indonesia Core FSI: Deposit Takers: Non-Interest Expenses to Gross Income data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI003: Financial System Statistics: Financial Soundness Indicators.

This table contains 13 series, with data from 1949 (not all combinations necessarily have data for all years). Data are presented for the current month and previous four months. Users can select other time periods that are of interest to them.

The benchmark interest rate in Russia was last recorded at 18 percent. This dataset provides the latest reported value for - Russia Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Chinese economy has undergone a long-term transition reform, but there is still a planned economy characteristic in the financial sector, which is financial repression. Due to the existence of financial repression, China’s actual interest rate level should be lower than the Consumer Price Index (CPI). However, based on official China’s interest rates and CPI, over half of the years China’s actual interest rate remained higher than CPI by our calculation from 1999 to 2022. This is inconsistent with the financial repression that exists in China, and the main reason is the calculation methods of China’s CPI. China’s CPI measurement system originated from the planned economy era, which did not fully consider the rise in housing purchase prices, so the current CPI measurement system can be more realistically presented by taking the rise in housing prices into consider. The core idea of this study is to mining relevant official statistical data and calculate the proportion of Chinese residents’ expenditure on purchasing houses to their total expenditure. By taking the proportion of house purchases as the weight of house price factor, and taking the proportion of other consumption as the weight of official CPI, the Generalized CPI (GCPI) is formulated. The GCPI is then compared with market interest rates to determine the actual interest rate situation in China over the past 20 years. This study has found that if GCPI is used as a measure, China’s real interest rates have been negative for most years since 1999. Chinese residents have suffered the negative effects of financial repression over the past 20 years, and their property income cannot keep up with the actual losses caused by inflation. Therefore, it is believed that China’s CPI calculation method should be adjusted to take into account the rise in housing prices, so China’s actual inflation level could be more accurately reflected. In view of the above, deepening interest rate marketization reform and expand channels for financial investment are the future development goals of China’s financial system.

We investigate the heterogeneous boom and bust patterns across countries that emerge as a result of global shocks. Our analysis sheds light on the emergence of core and periphery countries, and the joint determination of the depth of recessions and tightness of credit across countries. The model implies that interest rates are similar across core and periphery countries in booms, with larger credit and output growth in periphery countries. However, a common global shock that leads to a credit crunch across the globe gives rise to a sharper spike in interest rates and a deeper recession in periphery countries, while a credit flight to the core alleviates the adverse consequences in these countries. We explore the implication of the model about credit spreads, portfolio rebalancing, investment, non-performing debt and concentration of debt ownership during booms and busts, both in the time series and in the cross-section, and connect them to existing stylized facts. We further demonstrate how the anatomy of the global economy evolves as a result of aggregate demand and supply shocks to financing, such as a global saving glut.

Analysis of ‘USA Key Economic Indicators’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/calven22/usa-key-macroeconomic-indicators on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

Domino’s Pizza, like many other restaurant chains, is getting pinched by higher food costs. The company’s chief executive, Richard Allison, anticipates “unprecedented increases” in the company’s food costs, which could jump by 8-10%. He said that is three to four times what the pizza chain would normally expect in a year.

This leads to the paramount issue of inflation which affects every aspects of the economy, from consumer spending, business investment and employment rates to government programs, tax policies, and interest rates. The recent release of consumer inflation data showed prices rose at the fastest pace since 1982. Inflation forecasting is key in the conduct of monetary policy and can be used in many other ways such as preserving asset values. This dataset is a consolidated macroeconomic official statistics from 1981 to 2021, containing data available in month and quarterly format.

Content

The Core Consumer Price Index (ccpi) measures the changes in the price of goods and services, excluding food and energy due to their volatility. It measures price change from the perspective of the consumer. It is a often used to measure changes in purchasing trends and inflation.

Do note there are some null values in the dataset.

Acknowledgements

All data belongs to the U.S. Bureau of Economic Analysis official release, and are retrieved from FRED, Federal Reserve Bank of St. Louis.

Inspiration

What are some noticeable patterns or seasonality of the economy? What are the current trends of the economy? Which indicators has an effect on Core CPI or vice-versa based on predictive power or influence?

Quarterly data and monthly data can be merged with forward-fill or interpolation methods.

What is the forecast of Core CPI in 2022?

--- Original source retains full ownership of the source dataset ---

Revenue growth for the Finance and Insurance sector has varied in recent years, as a result of differing economic trends. The sector plays a vital role in facilitating necessary financial transactions between consumers, businesses and government agencies. The core services provided by operators in this sector include providing insurance products needed by businesses and consumers to legally operate corporations and assets; offering, borrowing and depository services needed to finance new projects and safely save money; and investing to create and preserve investors' assets. A wide range of operators in the sector benefited from improving macroeconomic conditions over the past five years. For example, In 2022, the Fed increased interest rates in an effort to curb historically high inflation. Although higher interest rates increased investment income from fixed-income securities for the finance and insurance sector. Recently in 2024, the Fed cut interest rates as inflationary pressured have eased. Reduced interest rates will enable consumers to borrow money at lower interest rates which will increase loan demand although reduced rates will hinder investment income from fixed-income securities for the sector. The Fed is anticipated to cut rates further in 2025, boosting loan demand but hindering interest income from each loan. In addition, the growing prevalence of emerging technologies such as AI and data analytic tools has streamlined operations and helped reduce operational costs. These tools help industry companies identify trends and potential risks more efficiently. Also the growth of mobile and digital platforms has increased customer satisfaction and accessibility, boosting demand for finance and insurance products and services. Over the past five years, industry revenue grew at a CAGR of 3.8% to $7.4 trillion, including a 2.9% jump in 2025 alone, with profit climbing to 23.6% in the same year. Sector revenue will increase at a CAGR of 2.5% to $8.4 trillion over the five years to 2030. As the economy continues to improve, per capita disposable income is expected to increase. This will likely lead to increased financial activity by consumers, which will likely be processed and facilitated by operators in the sector. The Federal Reserve is also anticipated to cut interest rates further. Reduced interest rates will reduce interest income for operators but will increase the volume of loans. In addition, the acquisition of financial technology start-ups to compete in a changing technological and financial environment will increase.

Loan administration, check cashing and other services endured a volatile landscape amid economic instability, elevated interest rates and sharp swings in core markets. While loan administration services remain a cornerstone to ensure consumers are compliant with repayment terms, considerable volatility amid inflationary spikes altered consumers’ purchasing behaviors. Rising interest rates provided greater revenue growth via higher mortgage and deposit fee revenue streams, although it also harmed individual customers and smaller businesses’ propensity to repay existing mortgages and auto loans. Nonetheless, continuous growth in the national housing market, as exemplified by the 65.2% spike in demand from real estate loans and collateralized debt, provided further boosts toward oversight of mortgages. Steady inclines in national housing prices created more favorable mortgage terms for lenders, bolstering loan service demand. Revenue grew at a CAGR of 1.6% to an estimated $26.8 billion over the past five years, including an anticipated 1.5% boost in 2025 alone. Inclining competition from digital payment services and online money transfer systems has undermined large-scale growth prospects. Check cashing servicers have been particularly harmed by digital proliferation, as prominent platforms such as PayPal, Zelle and Venmo continue to undermine client interest toward the industry. However, the technological pivot is also providing innovative opportunities, particularly among larger banks and loan service administrators looking to minimize dependence on manual labor and bolster profit. Moving forward, the industry is poised to continue growing at a steady pace, albeit mired by competitive threats. Anticipated growth in per capita disposable income and strong consumer confidence will sustain lending activity and demand for loan servicing, as customers will be more willing to take on long-term debts. The potential for interest rate cuts will further incentivize new loan procurement, although this could also harm the industry via reduced returns on mortgage interest and deposit fees. Technological expansion and the prevalent threat of digital payment platforms will remain the biggest barrier to expansive growth, although traditional brick-and-mortar services will remain popular across local markets where client trust will be integral. Revenue is expected to grow at a CAGR of 2.0% to an estimated $29.6 billion through the end of 2030.