Graph and download economic data for Moody's Seasoned Baa Corporate Bond Yield (BAA) from Jan 1919 to Sep 2025 about Baa, bonds, corporate, yield, interest rate, interest, rate, and USA.

Graph and download economic data for 20-Year 2-1/2% Treasury Inflation-Indexed Bond, Due 1/15/2029 (DTP20J29) from 2010-01-04 to 2025-10-03 about 20-year, TIPS, bonds, Treasury, interest rate, interest, real, rate, and USA.

The yield on Germany 10Y Bond Yield eased to 2.70% on October 2, 2025, marking a 0.01 percentage points decrease from the previous session. Over the past month, the yield has fallen by 0.04 points, though it remains 0.56 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Germany 10-Year Bond Yield - values, historical data, forecasts and news - updated on October of 2025.

The yield on United Kingdom 10Y Bond Yield eased to 4.70% on October 3, 2025, marking a 0.02 percentage points decrease from the previous session. Over the past month, the yield has fallen by 0.03 points, though it remains 0.56 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. UK 10 Year Gilt Bond Yield - values, historical data, forecasts and news - updated on October of 2025.

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Fixed Income Asset Management Market Outlook

The global fixed income asset management market size was valued at approximately USD 5.7 trillion in 2023 and is projected to grow to USD 9.3 trillion by 2032, expanding at a compound annual growth rate (CAGR) of 5.5% over the forecast period. The growth of this market is primarily driven by the increasing demand for stable and predictable returns in an uncertain economic environment.

One of the significant growth factors for the fixed income asset management market is the aging global population. As more individuals approach retirement age, the demand for fixed income investments that offer stable returns and lower risk compared to equities is increasing. Retirees and near-retirees often prioritize capital preservation and income generation, which fixed income products are well-suited to provide. This demographic trend is particularly prominent in developed countries but is also becoming more relevant in emerging markets as their populations age and accumulate wealth.

Another crucial growth driver is the rising interest rate environment. As central banks around the world shift towards tightening monetary policies to combat inflation, interest rates are gradually increasing. Higher interest rates make newly issued bonds more attractive to investors due to their higher yields. This situation creates opportunities for fixed income asset managers to attract new investments and cater to clients looking for better returns in a higher interest rate environment. Additionally, higher yields can enhance the overall performance of fixed income portfolios, making them more appealing to both institutional and retail investors.

The increasing complexity and diversity of fixed income products is also contributing to market growth. The fixed income market has evolved to include a wide range of instruments beyond traditional government and corporate bonds. Products such as mortgage-backed securities, municipal bonds, and various structured financial instruments offer different risk-return profiles and investment opportunities. This diversification allows asset managers to tailor portfolios to meet specific client needs and preferences, thereby attracting a broader investor base. The development of innovative fixed income products continues to drive growth in this market by expanding the range of investment options available.

In the realm of private equity, the PE Fund Management Fee plays a crucial role in shaping the investment landscape. These fees are typically charged by fund managers to cover the operational costs of managing the fund, including research, administration, and portfolio management. The structure of these fees can vary, often comprising a management fee based on the committed capital and a performance fee tied to the fund's returns. Understanding the intricacies of these fees is essential for investors, as they can significantly impact the net returns on their investments. As private equity continues to grow as an asset class, the transparency and justification of management fees are becoming increasingly important to investors seeking to maximize their returns while ensuring alignment of interests with fund managers.

From a regional perspective, North America remains the largest market for fixed income asset management, driven by the presence of a well-established financial industry, a large pool of institutional investors, and a high level of individual wealth. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period. Rapid economic growth, increasing financial literacy, and a burgeoning middle class are driving demand for fixed income investments in countries such as China and India. Additionally, regulatory reforms aimed at developing local bond markets and attracting foreign investment are further propelling the market in this region.

Asset Type Analysis

The fixed income asset management market can be categorized by asset type into government bonds, corporate bonds, municipal bonds, mortgage-backed securities, and others. Each of these asset types offers unique characteristics and appeals to different segments of investors, contributing to the overall growth and diversification of the market.

Government bonds are one of the most significant segments in the fixed income market. Issued by national governments, these bonds are considered low-risk investments due to the backing of the issuing g

We identify Treasury supply shocks using auction data, interpreting changes in futures prices around announcements as shocks to expected supply. We isolate the component of futures price variations pertaining to U.S. Treasury announcements between 1998 and 2020. We study how supply affects financial markets through local projections, using shocks as instruments. We show that increases in Treasury supply cause an upward shift of the yield curve fueled partly by a higher term premium. Stock prices decline, volatility climbs and corporate bond yields increase. The risk premium rises, the equity premium falls, inflation expectations soar and the liquidity premium decreases.

Graph and download economic data for 30-Year 3-7/8% Treasury Inflation-Indexed Bond, Due 4/15/2029 (DTP30A29) from 1999-04-09 to 2025-10-02 about fees, TIPS, 30-year, bonds, Treasury, interest rate, interest, real, rate, and USA.

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.

iShares Interest Rate Hedged Corporate Bond ETF: A Shelter from Interest Rate Storms?

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

Graph and download economic data for 30-Year 0.250% Treasury Inflation-Indexed Bond, Due 02/15/2050 (DTP30F50) from 2020-02-25 to 2025-10-01 about TIPS, 30-year, bonds, Treasury, interest rate, interest, rate, and USA.

The number of defaults on corporate bonds rated high ratings.

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.

iShares iBoxx $ Investment Grade Corporate Bond ETF: A Bond for All Seasons?

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 table contains 39 series, with data for starting from 1991 (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 item: Canada); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).

The Fixed Income ETF market, encompassing a diverse range of investment strategies, experienced significant growth between 2019 and 2024. While precise figures are unavailable, industry trends suggest a substantial market size in 2025, likely exceeding $1 trillion, driven by increasing investor demand for diversification, lower expense ratios compared to actively managed funds, and the ease of access offered by exchange-traded structures. Major players like Vanguard, BlackRock, and PIMCO dominate the market share, benefiting from their established brand reputation, extensive product offerings, and robust distribution networks. The market's growth trajectory is projected to continue throughout the forecast period (2025-2033), though at a potentially moderated CAGR compared to previous years, influenced by fluctuating interest rates and macroeconomic uncertainties. The increasing complexity of the global financial landscape, coupled with growing regulatory scrutiny, could present challenges for market expansion. Segmentation within the market is substantial, ranging from government bonds to corporate debt, emerging markets, and specialized strategies like high-yield or municipal bonds. Growth drivers include the pursuit of yield in a low-interest-rate environment, the appeal of passive investment strategies for retail and institutional investors, and the rising adoption of ETFs within retirement plans and other investment vehicles. However, restraints include potential market volatility due to economic downturns, the impact of rising inflation on fixed-income returns, and competition from other investment products like mutual funds. Regional variations are expected, with North America and Europe continuing to hold significant market share, although Asia-Pacific and other emerging markets are anticipated to witness accelerated growth in the coming years driven by increasing financial market sophistication and infrastructure development. This growth is projected to be fueled by an increasing number of sophisticated investors seeking efficient access to global fixed-income markets. The market’s future evolution hinges on factors such as interest rate changes, global economic stability, and the continuing evolution of investor preferences towards passive investment solutions.

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.

Blackrock Yield: A Corporate High? (HYT)

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

Regression results of effort of rating agencies.

The yield on India 10Y Bond Yield eased to 6.51% on October 3, 2025, marking a 0.02 percentage points decrease from the previous session. Over the past month, the yield has fallen by 0.01 points and is 0.31 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. India 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on October of 2025.

Regression results of rating defaults.

Regression results of rating downgrades.

The description of variables.