96 datasets found
  1. What are 30 year mortgage rates? (Forecast)

    • kappasignal.com
    Updated May 13, 2023
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    KappaSignal (2023). What are 30 year mortgage rates? (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/what-are-30-year-mortgage-rates.html
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    Dataset updated
    May 13, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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

  2. Average mortgage interest rates in the UK 2000-2025, by month and type

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Average mortgage interest rates in the UK 2000-2025, by month and type [Dataset]. https://www.statista.com/statistics/386301/uk-average-mortgage-interest-rates/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2000 - May 2025
    Area covered
    United Kingdom
    Description

    Mortgage rates increased at a record pace in 2022, with the 10-year fixed mortgage rate doubling between March 2022 and December 2022. With inflation increasing, the Bank of England introduced several bank rate hikes, resulting in higher mortgage rates. In May 2025, the average 10-year fixed rate interest rate reached **** percent. As borrowing costs get higher, demand for housing is expected to decrease, leading to declining market sentiment and slower house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold declined in 2023, reaching just above *** million. Despite the number of transactions falling, this figure was higher than the period before the COVID-19 pandemic. The falling transaction volume also impacted mortgage borrowing. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans fell year-on-year for five straight quarters in a row. How are higher mortgages affecting homebuyers? Homeowners with a mortgage loan usually lock in a fixed rate deal for two to ten years, meaning that after this period runs out, they need to renegotiate the terms of the loan. Many of the mortgages outstanding were taken out during the period of record-low mortgage rates and have since faced notable increases in their monthly repayment. About **** million homeowners are projected to see their deal expire by the end of 2026. About *** million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026.

  3. Mortgage Interest Rate Survey Transition Index

    • catalog.data.gov
    Updated Mar 7, 2025
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    Federal Housing Finance Agency (2025). Mortgage Interest Rate Survey Transition Index [Dataset]. https://catalog.data.gov/dataset/mortgage-interest-rate-survey-transition-index
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    Dataset updated
    Mar 7, 2025
    Dataset provided by
    Federal Housing Finance Agencyhttps://www.fhfa.gov/
    Description

    In May 29, 2019, FHFA published its final Monthly Interest Rate Survey (MIRS), due to dwindling participation by financial institutions. MIRS had provided information on a monthly basis on interest rates, loan terms, and house prices by property type (all, new, previously occupied); by loan type (fixed- or adjustable-rate), and by lender type (savings associations, mortgage companies, commercial banks and savings banks); as well as information on 15-year and 30-year, fixed-rate loans. Additionally, MIRS provided quarterly information on conventional loans by major metropolitan area and by Federal Home Loan Bank district, and was used to compile FHFA’s monthly adjustable-rate mortgage index entitled the “National Average Contract Mortgage Rate for the Purchase of Previously Occupied Homes by Combined Lenders,” also known as the ARM Index.

  4. F

    Interest Rates and Price Indexes; Contract Rate on 30-Year, Fixed-Rate...

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
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    (2025). Interest Rates and Price Indexes; Contract Rate on 30-Year, Fixed-Rate Conventional One-to-Four-Family Residential Mortgage Commitments, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL073165103Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Interest Rates and Price Indexes; Contract Rate on 30-Year, Fixed-Rate Conventional One-to-Four-Family Residential Mortgage Commitments, Level (BOGZ1FL073165103Q) from Q1 1971 to Q1 2025 about mortgage, liabilities, interest rate, interest, housing, rate, price index, indexes, price, and USA.

  5. Residential mortgage interest rate in Germany 2015-2025, by mortgage type...

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Residential mortgage interest rate in Germany 2015-2025, by mortgage type and month [Dataset]. https://www.statista.com/statistics/1231989/residential-mortgage-rate-germany-by-mortgage-term/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Mar 2025
    Area covered
    Germany
    Description

    After a period of record-low mortgage interest rates, the cost of mortgage borrowing in Germany surged in 2022. In 2019, mortgage rates declined notably, falling as low as **** percent in December 2020. This downward trend reversed in 2021, as mortgage rates started to gradually pick up. Five-to-ten-year mortgage loans had the lowest rates in March 2025 at **** percent, while floating rate mortgages up to one year were the most expensive at **** percent. Mortgages with over **-year fixed period – the most popular loan type among homebuyers — had an interest rate of **** percent. Why did mortgage rates in Germany increase? In 2022, the annual inflation rate in Germany experienced a swift rise, prompting the central bank to raise interest rates to counter this surge. The European Central Bank (ECB) is responsible for determining Germany's central bank interest rate. In July 2022, following a prolonged period of stability, the average interest rates in Germany began a steady rise, which persisted consistently thereafter.  This increase is intended to stabilize prices, but it also means higher borrowing costs for those seeking mortgages. Downturn in Germany's home loan borrowing From 2022 onward, the gross residential mortgage lending in Germany fell dramatically. Besides the higher interest rates, the downturn can be explained by the slowed pace of economic growth, which makes individuals and businesses more cautious about big investments such as buying a home. Additionally, the German housing market suffers a chronic undersupply, meaning that homebuyers often struggle to find an affordable home to purchase.

  6. F

    Interest Rates and Price Indexes; Contract Rate on 30-Year, Fixed-Rate...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    Interest Rates and Price Indexes; Contract Rate on 30-Year, Fixed-Rate Conventional One-to-Four-Family Residential Mortgage Commitments, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL073165103A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Interest Rates and Price Indexes; Contract Rate on 30-Year, Fixed-Rate Conventional One-to-Four-Family Residential Mortgage Commitments, Level (BOGZ1FL073165103A) from 1971 to 2024 about mortgage, liabilities, interest rate, interest, housing, rate, price index, indexes, price, and USA.

  7. L

    Latin America Home Mortgage Finance Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 26, 2025
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    Market Report Analytics (2025). Latin America Home Mortgage Finance Market Report [Dataset]. https://www.marketreportanalytics.com/reports/latin-america-home-mortgage-finance-market-99382
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global, Latin America
    Variables measured
    Market Size
    Description

    The Latin American home mortgage finance market, valued at approximately $XX million in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 3.00% from 2025 to 2033. This growth is fueled by several key drivers, including increasing urbanization, rising disposable incomes across various socioeconomic segments, and government initiatives aimed at boosting homeownership rates. Furthermore, the expansion of the formal financial sector and the availability of innovative mortgage products, such as adjustable-rate mortgages catering to diverse financial profiles, contribute to market expansion. However, economic volatility in certain Latin American nations and fluctuating interest rates pose significant challenges. The market is segmented by mortgage type (fixed-rate and adjustable-rate), loan tenure (ranging from under 5 years to over 25 years), and geography, with Brazil, Chile, Colombia, and Peru representing significant market shares. Competition is intense, with major players including Caixa Economica Federal, Banco do Brasil, Itaú, Bradesco, Santander, and others vying for market dominance. The market's future trajectory hinges on managing economic instability, maintaining affordable interest rates, and continuing to improve access to credit for a broader range of borrowers. The segment analysis reveals that fixed-rate mortgages currently dominate the market, though adjustable-rate mortgages are gaining traction due to their flexibility. Longer-tenure mortgages (11-24 years and 25-30 years) are increasingly popular as borrowers seek more manageable monthly payments. Geographically, Brazil holds the largest market share, reflecting its substantial population and relatively developed financial sector. However, Chile, Colombia, and Peru are showing promising growth potential, driven by improving economic conditions and increased government support for housing initiatives. The Rest of Latin America segment offers considerable untapped potential. Continued economic development and infrastructure improvements in these regions will be instrumental in further propelling market growth in the coming years. A focus on financial literacy and responsible lending practices will be essential for sustainable market development and to mitigate potential risks associated with rapid expansion. Recent developments include: In August 2022, Two new mortgage fintech start-ups emerged in Latin America: Toperty launched in Colombia and Saturn5 is about to launch in Mexico. Toperty offers to purchase a customer's new house outright and provides a payment schedule that allows the customer to purchase the house while renting it from the business. Saturn5 wants to give its clients the skills and resources they need to buy a house on their own., In August 2022, During a conference call on August 5, Brazilian lender Banco Bradesco SA startled analysts by reporting an increase in default rates in the second quarter of 2022. The average 90-day nonperforming loan ratio for Bradesco, the second-largest private bank in Latin America, increased by 30 basis points. Delinquency in the overall portfolio increased to 3.5% from 2.5% and 3.2%, respectively, in the first quarter.. Notable trends are: Increase in Economic Growth and GDP per capita.

  8. CFPB Mortgage Delinquency Data

    • openicpsr.org
    delimited
    Updated Feb 22, 2025
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    Consumer Finance Protection Bureau (2025). CFPB Mortgage Delinquency Data [Dataset]. http://doi.org/10.3886/E220503V1
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    delimitedAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset provided by
    Consumer Financial Protection Bureauhttp://www.consumerfinance.gov/
    Authors
    Consumer Finance Protection Bureau
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundWhere the data come fromThe Mortgage Performance Trends data come from the NMDB, a joint project we’ve undertaken with the Federal Housing Finance Agency (FHFA). For more information, visit the NMDB program page .The core data in the NMDB come from data maintained by one of the top three nationwide credit repositories. The NMDB has a nationally representative, 5 percent sample of all outstanding, closed-end, first-lien, 1–4 family residential mortgages.The data and analyses presented herein are the sole product of the CFPB. Use of information downloaded from our website, and any alteration or representation regarding such information by a party, is the responsibility of such party.Why the data matterMortgage delinquency rates reflect the health of the mortgage market, and the health of the overall economy.The 30–89 mortgage delinquency rate is a measure of early stage delinquencies. It generally captures borrowers that have missed one or two payments. This rate can be an early indicator of mortgage market health. However, this rate is seasonally volatile and sensitive to temporary economic shocks.The 90–day delinquency rate is a measure of serious delinquencies. It generally captures borrowers that have missed three or more payments. This rate measures more severe economic distress.PrivacyThe Mortgage Performance Trends data have many protections in place to protect personal identity. Before the CFPB or the FHFA receive any data for the NMDB, all records are stripped of information that might reveal a consumer’s identity, such as names, addresses, and Social Security numbers. All data shown are aggregated by state, metropolitan statistical area, or county.

  9. Real Estate Loans & Collateralized Debt in the US - Market Research Report...

    • ibisworld.com
    Updated Feb 15, 2025
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    IBISWorld (2025). Real Estate Loans & Collateralized Debt in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/real-estate-loans-collateralized-debt-industry/
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The industry is composed of non-depository institutions that conduct primary and secondary market lending. Operators in this industry include government agencies in addition to non-agency issuers of mortgage-related securities. Through 2025, rising per capita disposable income and low levels of unemployment helped fuel the increase in primary and secondary market sales of collateralized debt. Nonetheless, due to the pandemic and the sharp contraction in economic activity in 2020, revenue gains were limited, but have climbed as the economy has normalized and interest rates shot up to tackle rampant inflation. However, in 2024 the Federal Reserve cut interest rates as inflationary pressures eased and is expected to be cut further in 2025. Overall, these trends, along with volatility in the real estate market, have caused revenue to slump at a CAGR of 1.5% to $485.0 billion over the past five years, including an expected decline of 1.1% in 2025 alone. The high interest rate environment has hindered real estate loan demand and caused industry profit to shrink to 11.6% of revenue in 2025. Higher access to credit and higher disposable income have fueled primary market lending over much of the past five years, increasing the variety and volume of loans to be securitized and sold in secondary markets. An additional boon for institutions has been an increase in interest rates in the latter part of the period, which raised interest income as the spread between short- and long-term interest rates increased. These macroeconomic factors, combined with changing risk appetite and regulation in the secondary markets, have resurrected collateralized debt trading since the middle of the period. Although the FED cut interest rates in 2024, this will reduce interest income for the industry but increase loan demand. Although institutions are poised to benefit from a strong economic recovery as inflationary pressures ease, relatively steady rates of homeownership, coupled with declines in the 30-year mortgage rate, are expected to damage the primary market through 2030. Shaky demand from commercial banking and uncertainty surrounding inflationary pressures will influence institutions' decisions on whether or not to sell mortgage-backed securities and commercial loans to secondary markets. These trends are expected to cause revenue to decline at a CAGR of 0.8% to $466.9 billion over the five years to 2030.

  10. Mortgage delinquency rate in the U.S. 2000-2025, by quarter

    • statista.com
    • ai-chatbox.pro
    Updated May 27, 2025
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    Statista (2025). Mortgage delinquency rate in the U.S. 2000-2025, by quarter [Dataset]. https://www.statista.com/statistics/205959/us-mortage-delinquency-rates-since-1990/
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Following the drastic increase directly after the COVID-19 pandemic, the delinquency rate started to gradually decline, falling below *** percent in the second quarter of 2023. In the second half of 2023, the delinquency rate picked up, but remained stable throughout 2024. In the first quarter of 2025, **** percent of mortgage loans were delinquent. That was significantly lower than the **** percent during the onset of the COVID-19 pandemic in 2020 or the peak of *** percent during the subprime mortgage crisis of 2007-2010. What does the mortgage delinquency rate tell us? The mortgage delinquency rate is the share of the total number of mortgaged home loans in the U.S. where payment is overdue by 30 days or more. Many borrowers eventually manage to service their loan, though, as indicated by the markedly lower foreclosure rates. Total home mortgage debt in the U.S. stood at almost ** trillion U.S. dollars in 2024. Not all mortgage loans are made equal ‘Subprime’ loans, being targeted at high-risk borrowers and generally coupled with higher interest rates to compensate for the risk. These loans have far higher delinquency rates than conventional loans. Defaulting on such loans was one of the triggers for the 2007-2010 financial crisis, with subprime delinquency rates reaching almost ** percent around this time. These higher delinquency rates translate into higher foreclosure rates, which peaked at just under ** percent of all subprime mortgages in 2011.

  11. Historical mortgage rates in the Netherlands 2003-2024, by mortgage term

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Historical mortgage rates in the Netherlands 2003-2024, by mortgage term [Dataset]. https://www.statista.com/statistics/596336/interest-rate-for-new-mortgages-in-the-netherlands/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Netherlands
    Description

    Mortgage rates in the Netherlands increased sharply in 2022 and 2023, after declining gradually between 2008 and 2021. In December 2022, the average interest rate for new mortgage loans stood at **** percent, and by the end of 2023, it had risen to **** percent. The 10-year interest rate was the lowest, at **** percent; the floating and less than one-year interest rates amounted to **** and **** percent, respectively. In early 2024, mortgage rates decreased notably. Are mortgage rates in the Netherlands different from those in other European countries? When comparing this ranking to data that covers multiple European countries, the Netherlands’ mortgage rate was similar to the rates found in Spain, the United Kingdom, and Sweden. It was, however, a lot lower than the rates in Eastern Europe. Hungary and Romania, for example, had some of the highest mortgage rates. For more information on the European mortgage market and how much the countries differ from each other, please visit this dedicated research page. How big is the mortgage market in the Netherlands? The Netherlands has overall seen an increase in the number of mortgage loans sold and is regarded as one of the countries with the highest mortgage debt in Europe. The reason behind this is that Dutch homeowners were able to for many years to deduct interest paid from pre-tax income (a system known in the Netherlands as hypotheekrenteaftrek). Total mortgage debt of Dutch households has been increasing year-on-year since 2013.

  12. Mortgage Rates By Banks in Canada

    • rates.ca
    Updated Jul 24, 2024
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    RATESDOTCA (2024). Mortgage Rates By Banks in Canada [Dataset]. https://rates.ca/mortgage-rates
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    Dataset updated
    Jul 24, 2024
    Dataset provided by
    RATESDOTCA Group Ltd.
    Authors
    RATESDOTCA
    Time period covered
    2001 - 2023
    Area covered
    Canada
    Variables measured
    Mortgage rates
    Description

    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.

  13. G

    Mortgage credit interest rate around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Aug 3, 2018
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    Globalen LLC (2018). Mortgage credit interest rate around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/mortgage_interest_rate/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Aug 3, 2018
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    World
    Description

    The mortgage credit interest rate is the average interest rate on mortgage loan products offered to individuals and households by the commercial banks in the country. The mortgage credit is a loan used to finance the purchase of real estate. The table shows the latest available data from the national authorities as well as the values from three months ago and one year ago. The data are updated continuously.

  14. m

    Latin America Home Mortgage Finance Market Size & Share Analysis - Industry...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 9, 2023
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    Mordor Intelligence (2023). Latin America Home Mortgage Finance Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/latin-america-home-mortgage-finance-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Latin America
    Description

    The Latin America Home Mortgage Finance Market is segmented by type (Fixed-rate Mortgage, Adjustable-rate Mortgage), by Tenure (Up to 5 Years, 6 - 10 Years, 11 - 24 Years, and 25 - 30 Years), and by Geography (Brazil, Chile, Peru, Colombia, and the Rest of Latin America). The report offers market size and forecasts for Latin America Home Mortgage Finance Market in value (USD Billion) for all the above segments.

  15. m

    Brazil Home Loan Market Size & Share Analysis - Industry Research Report -...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Oct 12, 2023
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    Brazil Home Loan Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/brazil-home-loan-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 12, 2023
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Brazil
    Description

    The Brazil Home Loan Market is segmented By Source (Bank and Housing Finance Companies), By Interest Rate (Fixed Rate and Floating Rate), and By Tenure (Up to 5 Years, 6 - 10 Years, 11 - 24 Years, and 25 - 30 Years). The report offers market size and forecasts in value (USD) for all the above segments.

  16. ICE US ICE U.S. Jumbo 30-year Fixed Mortgage Rate Lock Weighted APR Index...

    • databento.com
    csv, dbn, json
    Updated Dec 23, 2018
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    Databento (2018). ICE US ICE U.S. Jumbo 30-year Fixed Mortgage Rate Lock Weighted APR Index Futures (30J) - Real-time and Historical Data [Dataset]. https://databento.com/catalog/ifus/IFUS.IMPACT/futures/30J
    Explore at:
    csv, json, dbnAvailable download formats
    Dataset updated
    Dec 23, 2018
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Dec 23, 2018 - Present
    Area covered
    Worldwide
    Description

    Browse ICE U.S. Jumbo 30-year Fixed Mortgage Rate Lock Weighted APR Index Futures (30J) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

    ICE Futures US iMpact is the primary data feed for ICE Futures US and covers the majority of trading in agricultural commodities, including sugar, coffee, cotton, and cocoa futures and options. This comprehensive market data feed also includes financial products such as equity indexes, currencies, and US Treasury futures contracts. The dataset provides complete market depth information across all listed outrights, spreads, options, and options combinations for every expiration month. ICE Futures US represents one of the most significant exchanges for US-based agricultural and financial derivatives, offering essential price discovery and risk management tools for global market participants.

    Asset class: Futures, Options

    Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

    Supported data encodings: DBN, CSV, JSON (Learn more)

    Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics (Learn more)

    Resolution: Immediate publication, nanosecond-resolution timestamps

  17. J

    Japan Mortgage/Loan Brokers Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 21, 2025
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    Market Report Analytics (2025). Japan Mortgage/Loan Brokers Market Report [Dataset]. https://www.marketreportanalytics.com/reports/japan-mortgageloan-brokers-market-99584
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Japan
    Variables measured
    Market Size
    Description

    The Japan Mortgage/Loan Brokers Market, valued at ¥5.20 billion in 2025, is projected to experience steady growth with a Compound Annual Growth Rate (CAGR) of 3.92% from 2025 to 2033. This growth is driven primarily by increasing urbanization, a rising young population entering the housing market, and government initiatives aimed at boosting homeownership. Low interest rates in recent years have also stimulated mortgage demand. However, fluctuating economic conditions and potential regulatory changes pose challenges. The market is segmented by mortgage loan type (conventional, jumbo, government-insured, and others), loan terms (15, 20, and 30-year mortgages, and others), interest rates (fixed and adjustable), and provider (primary and secondary lenders). Major players include prominent Japanese financial institutions like the Bank of Japan, Bank of China (with significant operations in Japan), Suruga Bank, SMBC Trust Bank, Shinsei Bank, and several international banks with a presence in the Japanese market. The market's future trajectory will likely depend on the effectiveness of government policies supporting homeownership, the stability of the Japanese economy, and the adaptability of brokers to evolving technological advancements in financial services. Competition among brokers is expected to intensify, pushing for innovation in services and digital platforms to attract customers. The dominance of established financial institutions in the market highlights the need for smaller brokers to establish strong partnerships or differentiate themselves through specialized services. While the 30-year mortgage remains a significant segment, growing awareness of financial prudence and shorter-term financial goals could lead to increased demand for 15 and 20-year mortgage options. The increasing adoption of online platforms and fintech solutions is also anticipated to transform how mortgage brokerage services are delivered, potentially impacting the operational models of traditional players. Analyzing trends in interest rates and their correlation with overall market growth will be crucial for predicting future market performance. The impact of macroeconomic factors, such as inflation and unemployment, will also play a significant role in influencing mortgage demand and consequently, the growth of the brokerage market. Recent developments include: In March 2024, Leading Japanese online stocks broker Matsui Stocks Co., Ltd. established a partnership with global fintech firm Broadridge Financial Solutions, Inc. to boost its stock lending business via Broadridge's cloud-based SaaS post-trade processing technology., In July 2023, Mitsubishi UFJ Financial Group and Morgan Stanley expanded their 15-year-old partnership. At their joint brokerage operations, the Japanese and American institutions have decided to work together more closely on forex trading, as well as on researching and selling Japanese stocks to institutional investors.. Key drivers for this market are: Increase in demand for Financial Home Loan Solutions, Increased Accessibility to Loan Broker Services. Potential restraints include: Increase in demand for Financial Home Loan Solutions, Increased Accessibility to Loan Broker Services. Notable trends are: Consistent level of interest rate and Increasing Real Estate price affecting Japan's Mortgage/Loan Broker Market..

  18. I

    India Home Mortgage Finance Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 26, 2025
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    Market Report Analytics (2025). India Home Mortgage Finance Market Report [Dataset]. https://www.marketreportanalytics.com/reports/india-home-mortgage-finance-market-99532
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    India
    Variables measured
    Market Size
    Description

    The Indian home mortgage finance market is experiencing robust growth, fueled by a burgeoning middle class, increasing urbanization, and supportive government policies aimed at affordable housing. With a Compound Annual Growth Rate (CAGR) exceeding 7% from 2019-2033, the market presents significant opportunities for investors and lenders. The market is segmented by source (banks and Housing Finance Companies or HFCs), interest rate type (fixed and floating), and loan tenure (ranging from less than 5 years to over 25 years). While banks hold a substantial market share, HFCs are playing an increasingly important role, particularly in catering to specific segments and underserved populations. The demand for longer-tenure loans is also growing, reflecting evolving consumer preferences and affordability considerations. Key drivers include government initiatives promoting homeownership, reduced interest rates during certain periods, and the ongoing expansion of the organized financial sector. However, challenges remain, including economic fluctuations, credit risk assessment, and potential regulatory changes that may impact lending practices. The competitive landscape involves both large established players like HDFC, LIC Housing Finance, and Indiabulls Housing Finance, as well as smaller, more niche players catering to specific geographic regions or customer demographics. The market's continued expansion is largely contingent upon sustained economic growth and the continued accessibility of credit. The forecast for the Indian home mortgage finance market indicates strong growth through 2033, driven by favorable demographics and sustained infrastructure development. The ongoing development of the digital lending space offers further opportunities for innovation and market penetration, streamlining processes and reaching a wider range of borrowers. Effective risk management strategies will be crucial for lenders navigating the evolving market dynamics. Government policies aimed at improving financial inclusion and affordable housing remain crucial for long-term growth. Analyzing market segments, such as the rising popularity of fixed-rate mortgages against the inherent volatility of floating-rate mortgages, offers valuable insight into changing consumer behavior and lender strategies. The strategic focus on various tenure options (5 years, 6-10 years, 11-24 years, 25-30 years) showcases the diverse needs and financial planning horizons of Indian homebuyers. Overall, the Indian home mortgage market is poised for considerable expansion, provided economic conditions remain stable and government support continues. Recent developments include: November 2022: Tata Capital Housing Finance, a Tata Capital subsidiary, intends to push into the home loan market significantly. To do so, it is looking for the capital of INR 3,000 crore from the National Housing Bank and intends to raise INR 1,000 crore through bonds. Both retail and real estate developers are expected to be eligible for financing from the organization., October 2022: Private sector lender HDFC Bank will complete its planned merger with Housing Development Finance Corp. Ltd by the first quarter of FY24 instead of the original target of the third quarter.. Notable trends are: Availability of Affordable Housing in India is Driving the Market Growth.

  19. A New Index to Measure U.S. Financial Conditions

    • catalog.data.gov
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). A New Index to Measure U.S. Financial Conditions [Dataset]. https://catalog.data.gov/dataset/a-new-index-to-measure-u-s-financial-conditions
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Federal Reserve Board of Governors
    Description

    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.

  20. I

    India Home Mortgage Finance Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 8, 2025
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    Data Insights Market (2025). India Home Mortgage Finance Market Report [Dataset]. https://www.datainsightsmarket.com/reports/india-home-mortgage-finance-market-19603
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    India
    Variables measured
    Market Size
    Description

    The Indian home mortgage finance market is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 7% from 2025 to 2033. This expansion is fueled by several key drivers. Firstly, a burgeoning middle class with increasing disposable incomes and aspirations for homeownership is significantly boosting demand. Secondly, supportive government policies aimed at affordable housing initiatives and infrastructure development are creating a favorable environment for market expansion. Government schemes like Pradhan Mantri Awas Yojana (PMAY) have been instrumental in driving demand, especially in the affordable housing segment. Thirdly, the increasing availability of diverse financing options, including both fixed and floating interest rate mortgages across various tenures, caters to a wider range of borrower needs and preferences. Finally, the presence of numerous established players and emerging fintech companies is fostering competition, leading to improved services and customer experience. However, the market isn't without challenges. Interest rate fluctuations pose a significant risk, impacting affordability and potentially dampening demand during periods of high interest rates. Furthermore, regulatory changes and stringent lending norms can affect the ease of accessing home loans. Despite these restraints, the long-term outlook for the Indian home mortgage finance market remains positive, driven by underlying demographic trends and sustained economic growth. The segment breakdown reveals a strong demand across various tenures, with a considerable portion likely concentrated in the 6-10 year and 11-24 year categories, reflecting the preferences of a diverse borrower base. The major players, including HDFC, LIC Housing Finance, and others, are well-positioned to capitalize on this growth, although competition is intensifying. This comprehensive report provides an in-depth analysis of the India home mortgage finance market, covering the period from 2019 to 2033. With a base year of 2025 and an estimated year of 2025, the report offers valuable insights into market trends, growth drivers, challenges, and future prospects. The study encompasses key segments like housing finance companies (HFCs) and banks, analyzing various loan interest rates (fixed and floating), and loan tenures (up to 5 years, 6-10 years, 11-24 years, and 25-30 years). The report's findings are crucial for investors, lenders, developers, and anyone involved in or interested in the booming Indian real estate sector. Recent developments include: November 2022: Tata Capital Housing Finance, a Tata Capital subsidiary, intends to push into the home loan market significantly. To do so, it is looking for the capital of INR 3,000 crore from the National Housing Bank and intends to raise INR 1,000 crore through bonds. Both retail and real estate developers are expected to be eligible for financing from the organization., October 2022: Private sector lender HDFC Bank will complete its planned merger with Housing Development Finance Corp. Ltd by the first quarter of FY24 instead of the original target of the third quarter.. Notable trends are: Availability of Affordable Housing in India is Driving the Market Growth.

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KappaSignal (2023). What are 30 year mortgage rates? (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/what-are-30-year-mortgage-rates.html
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What are 30 year mortgage rates? (Forecast)

Explore at:
Dataset updated
May 13, 2023
Dataset authored and provided by
KappaSignal
License

https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

Description

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

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