The benchmark interest rate in Canada was last recorded at 2.75 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Forecast: Bank Lending Interest Rate in Canada 2022 - 2026 Discover more data with ReportLinker!

The benchmark interest rate in China was last recorded at 3 percent. This dataset provides the latest reported value for - China Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Canada Interest Rate.

Key information about Canada Long Term Interest Rate

• Canada Government Benchmark Bonds Yield: Month End: 10 Years was reported at 2.90 % pa in Feb 2025, compared with 3.07 % pa in the previous month.
• Canada Long Term Interest Rate data is updated monthly, available from Jan 1993 to Feb 2025.
• The data reached an all-time high of 9.28 % pa in Jun 1994 and a record low of 0.46 % pa in Jul 2020.
• Long Term Interest Rate is reported by reported by Bank of Canada.

• In the latest reports, Canada Short Term Interest Rate: Month End: Treasury Bills Yield: 3 Months was reported at 2.82 % pa in Feb 2025.
• The cash rate (Policy Rate: Month End: Overnight Target Rate) was set at 3.00 % pa in Feb 2025.
• Canada Exchange Rate against USD averaged 1.33 (USD/CAD) in Jun 2023.

Canada's inflation rate experienced significant fluctuations from 2018 to 2025. Inflation peaked at *** percent in June 2022 before steadily declining to *** percent by December 2024. In early 2025, inflation began to increase again, rising to *** percent in February, and dropping to *** percent in March. In response to rising inflation between 2020 and 2022, the Bank of Canada implemented aggressive interest rate hikes. The bank rate reached a maximum of **** percent in July 2023 and remained stable until June 2024. As inflationary pressures eased in the second half of 2024, the central bank reduced interest rates to *** percent in December 2024. In 2025, the bank rate witnessed two cuts, standing at ***** percent in May 2025. This pattern reflected broader global economic trends, with most advanced and emerging economies experiencing similar inflationary challenges and monetary policy adjustments. Global context of inflation and interest rates The Canadian experience aligns with the broader international trend of central banks raising policy rates to combat inflation. Between 2021 and 2023, nearly all advanced and emerging economies increased their central bank rates. However, a shift occurred in the latter half of 2024, with many countries, including Canada, beginning to lower rates. This change suggests a new phase in the global economic cycle and monetary policy approach. Notably, among surveyed countries, Russia maintained the highest interest rate in early 2025, while Japan had the lowest rate. Comparison with the United States The United States experienced a similar trajectory in inflation and interest rates. U.S. inflation peaked at *** percent in June 2022, slightly higher than Canada's peak. The Federal Reserve responded with a series of rate hikes, reaching **** percent in August 2023. This rate remained unchanged until September 2024, when the first cut since September 2021 was implemented. In contrast, Canada's bank rate peaked at **** percent and began decreasing earlier, with cuts in June and July 2024. These differences highlight the nuanced approaches of central banks in managing their respective economies amid global inflationary pressures.

Canada Conventional Mortgage: 5 Years: Weekly data was reported at 6.490 % pa in 07 May 2025. This stayed constant from the previous number of 6.490 % pa for 30 Apr 2025. Canada Conventional Mortgage: 5 Years: Weekly data is updated weekly, averaging 5.700 % pa from Jan 2000 (Median) to 07 May 2025, with 1323 observations. The data reached an all-time high of 8.750 % pa in 31 May 2000 and a record low of 4.640 % pa in 12 Jul 2017. Canada Conventional Mortgage: 5 Years: Weekly data remains active status in CEIC and is reported by Bank of Canada. The data is categorized under Global Database’s Canada – Table CA.M005: Conventional Mortgage Rate. [COVID-19-IMPACT]

Key information about Canada Short Term Interest Rate

• Canada Short Term Interest Rate: Month End: Treasury Bills Yield: 3 Months was reported at 2.82 % pa in Feb 2025, compared with 2.85 % pa in the previous month.
• Canada Short Term Interest Rate data is updated monthly, available from Jan 1993 to Feb 2025.
• The data reached an all-time high of 8.30 % pa in Mar 1995 and a record low of 0.06 % pa in Nov 2021.
• Short Term Interest Rate is reported by reported by Bank of Canada.

• In the latest reports, Canada Government Benchmark Bonds Yield: Month End: 10 Years was reported at 2.90 % pa in Feb 2025.
• The cash rate (Policy Rate: Month End: Overnight Target Rate) was set at 3.00 % pa in Feb 2025.
• Canada Exchange Rate against USD averaged 1.33 (USD/CAD) in Jun 2023.

In May 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In early 2025, Russia maintained the highest interest rate at 20 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at -0.1 percent in May 2025. In contrast, Russia maintained a high inflation rate of 9.9 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

RY:TSX Royal Bank of Canada

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Deposit Interest Rate in Canada remained unchanged at 4.91 percent on Wednesday April 10. This dataset includes a chart with historical data for Deposit Interest Rate in Canada.

China Central Bank Benchmark Interest Rate: Loan to FI: 1 Year data was reported at 3.500 % pa in 18 May 2025. This stayed constant from the previous number of 3.500 % pa for 17 May 2025. China Central Bank Benchmark Interest Rate: Loan to FI: 1 Year data is updated daily, averaging 3.500 % pa from Jan 1987 (Median) to 18 May 2025, with 14018 observations. The data reached an all-time high of 3.850 % pa in 23 Oct 2015 and a record low of 3.500 % pa in 18 May 2025. China Central Bank Benchmark Interest Rate: Loan to FI: 1 Year data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under High Frequency Database’s Lending Rates – Table CN.MA: Rediscount and Lending Rate.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Boston Omaha: A Sustainable Investment? (BOC)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Key information about Canada Policy Rate

• Canada cash rate (Policy Rate: Month End: Overnight Target Rate) was set at 3.00 % pa in Feb 2025, compared with 3.00 % pa in the previous Jan 2025.
• Canada Policy Rate averaged 2.50 % pa and is updated monthly, available from Dec 1992 to Feb 2025.
• The data reached an all-time high of 8.13 % pa in Feb 1995 and a record low of 0.25 % pa in Feb 2022.

• In the latest reports, Canada Short Term Interest Rate: Month End: Treasury Bills Yield: 3 Months was reported at 2.85 % pa in Jan 2025.
• Its Long Term Interest Rate (Government Benchmark Bonds Yield: Month End: 10 Years) was reported at 3.07 % pa in Jan 2025.
• Canada Exchange Rate against USD averaged 1.33 (USD/CAD) in Jun 2023.
• Its Real Effective Exchange Rate was 88.39 in Dec 2024.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

(BOC) Boston Omaha: A Portfolio Diversification Play?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Blue Owl Capital (BOC) Stock Forecast: Owl's Eyes On The Prize

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Bank Lending Rate in Canada remained unchanged at 4.95 percent in June. This dataset provides - Canada Prime Lending Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Rates have been trending downward in Canada for the last five years. The ebbs and flows are caused by changes in Canada’s bond yields (driven by Canadians economic developments and international rate movements, particularly U.S. rate fluctuations) and the overnight rate (which is set by the Bank of Canada). As of August 2022, there has been a 225 bps increase in the prime rate, since beginning of year 2022, from 2.45% to 4.70% as of Aug 24th 2022. The following are the historical conventional mortgage rates offered by the 6 major chartered banks in Canada in the past 20 years.

The industry closely follows global economic performance since demand for loans is heavily influenced by business and consumer confidence as well as the level of activity that requires financing. The strong global economic performance fueled by the United States and emerging markets, such as China and South East Asia, are expected to improve from increased aggregate private investment, which has supported loan origination. Although Global Commercial Banks revenue has lagged at a CAGR of 0.1% to $2.9 trillion over the past five years, including an estimated drop of 0.2% in 2024 alone. Strong performance in the United States and China for most of the last five years has bolstered economic activity. Low interest rates at the onset of the period have fomented loan origination, primarily from businesses taking advantage of the opportunity and individuals taking out residential mortgages. This low interest rate environment has hurt industry profit, which has supported efforts to consolidate operations. The interest rate environment has reversed due to rising inflation. This is anticipated to increase industry profit towards the end of the period. Industry revenue is expected to grow as the global economy continues to recover from the volatile economic environment at the onset of the period and tighten its monetary policy. In addition, interest rates are expected to be cut further at the onset of the outlook period has inflation continues to ease. Strong economic performance in emerging markets is anticipated to foment growth of commercial banking activity in various countries and aid faster revenue growth over the next five years. But geopolitical tensions are expected to ramp up and pose an important threat to growth. Global commercial banks revenue is expected to climb at a CAGR of 3.0% to $3.3 trillion over the five years to 2029.