The 10-year treasury constant maturity rate in the U.S. is forecast to increase by *** percentage points by 2027, while the 30-year fixed mortgage rate is expected to fall by *** percentage points. From *** percent in 2024, the average 30-year mortgage rate is projected to reach *** percent in 2027.

Interactive chart showing the daily 10 year treasury yield back to 1962. The 10 year treasury is the benchmark used to decide mortgage rates across the U.S. and is the most liquid and widely traded bond in the world.

Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, lenders' stability, and the housing market's overall conditions. The mortgage interest rate in Romania fluctuated during the period under observation, with an upward trend from the second quarter of 2017 onwards. The first quarter of 2023 reached the highest value recorded — 7.85 percent; by the fourth quarter of 2024, it dropped to 6.01 percent.

The Bond Market report segments the industry into By Type (Treasury Bonds, Municipal Bonds, Corporate Bonds, High-Yield Bonds, Mortgage-Backed Securities, and more), By Issuer (Public Sector Issuers, Private Sector Issuers), By Sectors (Government Backed Entities, Financial Corporations, and more), and Geography (North America, Europe, Asia Pacific, South America, Middle East).

The mortgage interest rate in Germany decreased notably between 2013 and 2022, falling below 1.5 percent. This was part of an overall trend of falling mortgage interest rates in Europe. The mortgage interest rate in Germany has since increased to 3.9 percent in the second quarter of 2024. The German mortgage market In Europe, Germany is the second-largest mortgage market, with a total value of mortgages outstanding amounting to over 1.8 trillion euros. Mortgage loans are one of the oldest bank products. Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. Mortgage loans The higher cost of borrowing has a significant effect on the market: While the interest rates were at their lowest, mortgage lending was on the rise. In 2023, when the rates reached a 10-year-high, the quarterly gross mortgage lending fell to the lowest value since 2014. Meanwhile, house prices have also increased substantially in recent years. According to the House Price Index in Germany, between 2015 and 2022, house prices increased by over 60 percent.

An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

The mortgage interest rate in Finland generally decreased between 2014 and 2022, followed by an increase. Factors that influence mortgage interest rates include inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. The mortgage interest rate in Finland decreased to its lowest value of 0.69 percent in the fourth quarter of 2020 as part of an overall trend of falling mortgage interest rates in Europe. The mortgage interest rate has since risen to 4.31 percent by the second quarter of 2024.

The mortgage interest rate in Ireland increased notably in 2023. From **** percent in the fourth quarter of 2022, the rate reached **** percent in the fourth quarter of 2023. In 2024, the rate eased, falling to **** percent in the fourth quarter of the year. This was part of an overall trend of increasing mortgage interest rates in Europe. Factors that influence mortgage interest rates include inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market.

In the last five years, the mortgage lending sector has seen negative growth. During this period, industry turnover fell by an average of 3.8% per year, meaning that it is expected to amount to 6.5 billion euros in 2024. This nevertheless corresponds to an increase of 3.1% compared to the previous year. As in all sectors dedicated to the provision of financial services, industry turnover, which in this sector is made up of interest and commission income, was negatively impacted by the low level of interest rates. However, the mortgage banks were able to hold their own comparatively well on the market thanks to their favourable refinancing options. Thanks to their comparatively low default risk, Pfandbriefe have become increasingly popular with institutional investors such as insurers in recent years.Industry sales in 2024 will be influenced by the recent increases in the key interest rate by the European Central Bank (ECB). The sector can also build on the high demand for real estate in Germany, which is primarily based on ongoing urbanisation and positive economic growth. The ECB resumed its bond-buying programme in 2020 and expanded it during the coronavirus crisis, allowing real estate banks to refinance themselves at favourable conditions. At the same time, the price of Pfandbriefe has risen thanks to the increased demand for them, which has had a positive impact on this sector. Competition in the market for property loans will remain strong in 2024, meaning that price competition is likely to intensify in the current year.IBISWorld expects industry turnover to increase by an average of 3.4% annually over the next five years, so that it is likely to amount to 7.7 billion euros in 2029. Interest income in particular is expected to increase due to rising interest rates on the capital markets. However, commission income is likely to fall over the next five years as price competition continues to intensify. The search for ways to increase efficiency is likely to lead to an increased reduction in the number of employees.

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.

Mortgage Rates: Hot Economic Conjecture Puts the Squeeze on Homebuyers

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

Among the factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. It can be seen that the mortgage interest rate in Hungary decreased overall with some fluctuation until the last quarter of 2021. Following an increase, it reached a value of 8.87 percent as of the second quarter of 2023. This was part of an overall trend of increasing mortgage interest rates in Europe.

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.

What are 30 year mortgage rates?

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

The mortgage interest rate in Ireland increased notably in 2023. From 2.77 percent in the fourth quarter of 2022, the rate reached 4.19 percent in the same quarter of 2023. This was part of an overall trend of increasing mortgage interest rates in Europe. Factors that influence mortgage interest rates include inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market.

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.

Mortgage Rates Soar, Making Homeownership Out of Reach for Many

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 dataset combines data from three sources (a) syndicated loan transactions and loan characteristics (b) bond issuance (c) company information. The transaction data (a) and (b) are matched into (c) using a company level identifier. The data covers a period from 2000 to 2020. The data allows researchers to test the interactions between bond issuances and yields viz loans and loan spreads.

This table contains 71 series, with data starting from 1934 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Rates (71 items: Bank rate; last Tuesday or last Thursday; Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate ...).

In 2022, Portugal overturned the sinking mortgage interest rate it had gone through during the coronavirus (COVID-19) pandemic. The country did not escape from the overall trend of falling mortgage interest rates observed in Europe during the COVID-19 crisis, which positioned national mortgage interest rates at 1.54 percent in the fourth quarter of 2021. Interest rates as a weapon against inflation Even though interest rates are affected by economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market, inflation currently leads the European Central Bank (ECB)’s decisions regarding them. As inflation had been low in Europe since the 2008 financial crisis, the ECB lowered interest rates in an attempt to promote economic growth. However, the economic difficulties brought up by the coronavirus pandemic and the Russian-Ukrainian war have fueled inflation. To counteract this rise, the ECB increased interest rates. Portugal’s abrupt rise in interest rates on new residential loans from 0.83 percent in 2021 to 4.12 percent in 2023 demonstrates the balanced and calculated act between the two financial indices. High interest rates and low mortgage lending Compared to other European nations, Portugal has a low gross residential mortgage lending. In the third and fourth quarters of 2022, mortgage lending decreased in the country due to rising interest rates and worsening economic conditions, but have increased dramatically until 2024. Despite being in a rising trajectory in terms of outstanding residential mortgage lending since the second quarter of 2021, 2023 registered decreasing figures caused by the same economic contingencies. 2024 shows a different trend, however.

Algeria DZ: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data was reported at 5.012 % pa in 2023. This records an increase from the previous number of 5.009 % pa for 2022. Algeria DZ: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data is updated yearly, averaging 6.354 % pa from Dec 1998 (Median) to 2023, with 26 observations. The data reached an all-time high of 7.788 % pa in 2011 and a record low of 0.199 % pa in 2000. Algeria DZ: Risk Premium on Lending: Lending Rate Minus Treasury Bill Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Algeria – Table DZ.World Bank.WDI: Interest Rates. Risk premium on lending is the interest rate charged by banks on loans to private sector customers minus the 'risk free' treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this spread may be negative, indicating that the market considers its best corporate clients to be lower risk than the government. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.;International Monetary Fund, International Financial Statistics database.;;

The mortgage interest rate in Czechia increased between the first quarter of 2017 to its highest in the fourth quarter of 2022. Factors that influence mortgage interest rates are inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market. In the third quarter of 2024, the average mortgage interest rate in Czechia was 5.12 percent. In 2023, Poland and Hungary were among the countries with the highest mortgage interest rates in Europe.

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.