The Emerging Markets Bond Index (EMBI), commonly known as "riesgo país" in Spanish speaking countries, is a weighted financial benchmark that measures the interest rates paid each day by a selected portfolio of government bonds from emerging countries. It is measured in base points, which reflect the difference between the return rates paid by emerging countries' government bonds and those offered by U.S. Treasury bills. This difference is defined as "spread". Which Latin American country has the highest risk bonds? As of September 19, 2024, Venezuela was the Latin American country with the greatest financial risk and highest expected returns of government bonds, with an EMBI spread of around 254 percent. This means that the annual interest rates paid by Venezuela's sovereign debt titles were estimated to be exponentially higher than those offered by the U.S. Treasury. On the other hand, Brazil's EMBI reached 207 index points at the end of August 2023. In 2023, Venezuela also had the highest average EMBI in Latin America, exceeding 40,000 base points. The impact of COVID-19 on emerging market bonds The economic crisis spawned by the coronavirus pandemic heavily affected the financial market's estimated risks of emerging governmental bonds. For instance, as of June 30, 2020, Argentina's EMBI spread had increased more than four percentage points in comparison to January 30, 2020. All the Latin American economies measured saw a significant increase of the EMBI spread in the first half of the year.

Brazil is Latin America's largest economy based on annual gross domestic product. As of July 2024, Brazil's Emerging Markets Bond Index stood at 228 points, almost 29 points higher than at the same period one year earlier. This index is a weighted capitalization market benchmark that measures the financial returns obtained each day by a selected portfolio of government bonds from emerging countries.The EMBI+, more commonly known as "risco país" in Portuguese, is measured in base points. These show the difference between the return rates paid by emerging countries' government bonds and those offered by the U.S. Treasury. Based on Brazil's EMBI as of October 27, 2020, the annual return rates of Brazilian sovereign debt titles were estimated to be 315 index points higher than those offered by U.S. Treasury bills. This difference is known as "spread".

Graph and download economic data for ICE BofA B & Lower US Emerging Markets Liquid Corporate Plus Index Effective Yield (BAMLEM4RBLLCRPIUSEY) from 2003-12-31 to 2025-06-05 about B Bond Rating, sub-index, emerging markets, liquidity, yield, corporate, interest rate, interest, rate, and USA.

Graph and download economic data for ICE BofA AAA-A Emerging Markets Corporate Plus Index Option-Adjusted Spread (BAMLEM1BRRAAA2ACRPIOAS) from 1998-12-31 to 2025-06-05 about A Bond Rating, sub-index, emerging markets, option-adjusted spread, corporate, and USA.

Graph and download economic data for ICE BofA Emerging Markets Corporate Plus Index Effective Yield (BAMLEMCBPIEY) from 1998-12-31 to 2025-06-06 about emerging markets, yield, corporate, interest rate, interest, rate, indexes, 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.

EDD Morgan Stanley Emerging Markets Domestic Debt Fund Inc. Morgan Stanley Emerging Markets Domestic Debt Fund Inc. Common Stock

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

Bond Index Tester Market Outlook

The global Bond Index Tester market size was valued at approximately $1.2 billion in 2023 and is projected to reach around $2.1 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 6.3% during the forecast period. One of the key growth factors driving this market includes the increasing focus on material testing and quality assurance across various industries. As industries such as mining, construction, and metallurgy strive to maintain high standards of quality and durability, the demand for accurate and reliable bond index testers is anticipated to rise significantly.

Several growth factors contribute to the expanding Bond Index Tester market. First and foremost, the rising investments in infrastructure projects globally have fueled the need for robust material testing equipment. Governments and private sectors are increasingly focusing on ensuring the durability and longevity of infrastructure projects such as roads, bridges, and commercial buildings. This has led to a surge in demand for bond index testers, which are essential for evaluating the hardness and grindability of various construction materials. Additionally, stringent regulatory standards and guidelines related to material quality and safety have further propelled the adoption of bond index testers.

Moreover, advancements in material science and technology have significantly enhanced the efficiency and accuracy of bond index testers. Modern bond index testers are equipped with advanced features such as automated testing processes, real-time data analysis, and improved precision. These technological advancements not only facilitate faster and more accurate testing but also reduce human errors and operational costs. As a result, industries are increasingly inclined towards adopting sophisticated bond index testers to ensure compliance with quality standards and improve overall productivity.

Furthermore, the growing emphasis on sustainability and environmental conservation is another crucial factor driving the bond index tester market. Industries are becoming more conscious of the environmental impact of their operations and are adopting measures to minimize waste and optimize resource utilization. Bond index testers play a vital role in this regard by enabling companies to accurately assess material properties, thereby facilitating the efficient use of resources and minimizing waste generation. This trend is expected to continue driving the demand for bond index testers in the coming years.

In the realm of financial investments, a Convertible Bond Fund offers a unique blend of fixed-income stability and equity growth potential. Convertible bonds are hybrid securities that provide investors with the option to convert their bonds into a predetermined number of shares of the issuing company. This feature allows investors to benefit from the upside potential of the company's stock while still enjoying the fixed interest payments typical of bonds. As the market for bond index testers continues to grow, investors may look towards Convertible Bond Funds as a way to diversify their portfolios, balancing the risks and rewards associated with both equity and fixed-income investments. The increasing interest in such funds is reflective of a broader trend towards more dynamic and flexible investment strategies that cater to varying market conditions and investor preferences.

From a regional perspective, the Asia Pacific region is expected to witness substantial growth in the bond index tester market. The rapid industrialization and urbanization in countries such as China, India, and Japan have created a significant demand for construction materials and, consequently, material testing equipment. Additionally, the presence of numerous manufacturing facilities and research institutes in this region further contributes to the market growth. North America and Europe are also anticipated to experience steady growth due to the increasing focus on infrastructure renovation and the adoption of advanced testing technologies.

Product Type Analysis

The Bond Index Tester market can be segmented based on product type into Manual Bond Index Testers and Automatic Bond Index Testers. Manual bond index testers have traditionally dominated the market due to their lower cost and widespread availability. These testers are ofte

Market Overview: The global bond mutual fund market is projected to experience a CAGR of XX% during the forecast period (2025-2033), reaching a value of USD XXX million by 2033. The market is driven by factors such as increasing demand for fixed income instruments, growing corporate liquidity management requirements, and the need for secure investments in an uncertain economic environment. Moreover, government initiatives aimed at supporting bond markets and the growing popularity of bond index funds have further contributed to market growth. Market Segmentation: The bond mutual fund market is segmented based on application (personal finance, corporate liquidity management, social security fund, etc.), type (pure debt bond fund, ordinary bond fund, convertible bond fund, bond index fund), and region. North America and Asia Pacific are major markets, while Europe and the Middle East & Africa are emerging regions with significant growth potential. Key players include Tianhong Fund, E Fund, China Universal Fund, Vanguard, and Fidelity, among others. The report provides a comprehensive analysis of each market segment, highlighting growth opportunities, challenges, and competitive dynamics.

Graph and download economic data for ICE BofA B & Lower Emerging Markets Corporate Plus Index Option-Adjusted Spread (BAMLEM4BRRBLCRPIOAS) from 1998-12-31 to 2025-06-05 about B Bond Rating, sub-index, emerging markets, option-adjusted spread, corporate, 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.

JPMorgan Emerging Markets; Inv Trust (JMG): Emerging Markets in Turmoil?

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 global capital exchange ecosystem market, valued at $1.06 trillion in 2025, is projected to experience robust growth, driven by increasing global trade, the rise of fintech innovations, and a growing preference for digital trading platforms. The market's Compound Annual Growth Rate (CAGR) of 5.80% from 2025 to 2033 signifies a consistently expanding market opportunity. Key segments, including the primary and secondary markets, contribute significantly to this growth, with the primary market fueled by Initial Public Offerings (IPOs) and other new listings, while the secondary market thrives on the continuous trading of existing securities. The diverse range of stock and bond types (common, preferred, growth, value, defensive stocks; government, corporate, municipal, mortgage bonds) caters to a broad spectrum of investor profiles and risk appetites. Technological advancements, including high-frequency trading algorithms and improved data analytics, are further enhancing market efficiency and liquidity. However, regulatory hurdles, geopolitical uncertainties, and cybersecurity threats remain as potential restraints on market growth. The strong presence of established exchanges like the New York Stock Exchange (NYSE), NASDAQ, and the London Stock Exchange, alongside emerging players in Asia and other regions, contributes to the market's competitive landscape. Regional growth will likely be influenced by economic development, regulatory frameworks, and investor confidence, with North America and Asia Pacific anticipated to maintain leading positions. The future of the capital exchange ecosystem hinges on adaptation and innovation. The increasing integration of blockchain technology and decentralized finance (DeFi) is expected to reshape trading infrastructure and potentially challenge traditional exchange models. Increased regulatory scrutiny globally will likely necessitate further transparency and improved risk management practices by exchanges. Furthermore, the growing prominence of Environmental, Social, and Governance (ESG) investing will influence investment strategies and, consequently, trading activity across various asset classes. The market's future success will depend on its ability to effectively manage risks, embrace technological innovation, and meet the evolving needs of a diverse and increasingly sophisticated investor base. Continued growth is anticipated, driven by both established and emerging markets. Recent developments include: In December 2023, Defiance ETFs, introduced the Defiance Israel Bond ETF (NYSE Arca: CHAI) to facilitate investors' access to the Israeli bond market. CHAI commenced trading on the New York Stock Exchange. The ETF, CHAI, mirrors the MCM (Migdal Capital Markets) BlueStar Israel Bond Index, enabling investors to tap into both Israel government and corporate bonds. This index specifically monitors the performance of bonds, denominated in USD and shekels, issued by either the Israeli government or Israeli corporations., In January 2024, the National Stock Exchange (NSE) saw a 22% rise in its investor base, increasing from 70 million to 85.4 million during the calendar year 2023. This growth highlights the increasing participation of retail investors in the stock market.. Key drivers for this market are: Automating all processes, Regulatory Landscape. Potential restraints include: Automating all processes, Regulatory Landscape. Notable trends are: Increasing Stock Exchanges Index affecting Capital Market Exchange Ecosystem.

The dataset included with this article contains three files describing and defining the sample and variables for VAT impact, and Excel file 1 consists of all raw and filtered data for the variables for the panel data sample. Excel file 2 depicts time-series and cross-sectional data for nonfinancial firms listed on the Saudi market for the second and third quarters of 2019 and the third and fourth quarters of 2020. Excel file 3 presents the raw material of variables used in measuring the company's profitability of the panel data sample

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.

The global bond mutual fund market size is expected to reach USD 15.35 billion by 2033, expanding at a CAGR of 6.3% from 2025 to 2033. Rising interest rates and increasing demand for fixed income investments are key factors driving market growth. Additionally, the growing popularity of index funds and exchange-traded funds (ETFs) is contributing to the market expansion. The market is segmented into various types of bond funds such as pure debt bond funds, ordinary bond funds, convertible bond funds, and bond index funds. Pure debt bond funds are the most popular type, accounting for the largest market share. However, bond index funds are expected to witness the fastest growth due to their low cost and diversification benefits. Key market players include Tianhong Fund, E Fund, China Universal Fund, and Southern Fund. North America and Asia Pacific are expected to remain the dominant regions in the bond mutual fund market, with China being a key growth contributor.

The Bond Index Tester market is experiencing robust growth, projected to reach a market size of $500 million by 2025, with a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is driven by several key factors, including the increasing demand for quality control in various industries such as construction, pharmaceuticals, and packaging. The rising need for standardized testing procedures and the growing adoption of advanced testing methodologies are further fueling market expansion. Technological advancements, such as the integration of automated systems and improved sensor technologies, are also contributing to the market's growth trajectory. The market is segmented based on testing type, application, and geographic location, with significant regional variations driven by differences in regulatory landscapes and industrial development. Key players in this market are constantly striving to enhance their product offerings and expand their geographic reach to capitalize on emerging opportunities. The competitive landscape is characterized by the presence of both established players like Retsch and Grinding Solutions, and emerging companies like Insmart Systems and JKTech. These companies are focusing on strategic partnerships, mergers and acquisitions, and product innovation to maintain a strong market position. However, factors such as high initial investment costs associated with Bond Index Testers and the availability of alternative testing methods could pose challenges to the market's growth in the long term. Despite these restraints, the overall outlook for the Bond Index Tester market remains positive, driven by the sustained demand for reliable and efficient testing solutions across various industrial sectors. Continued advancements in technology and the increasing focus on quality assurance are expected to propel further growth in the years to come. This report provides a detailed analysis of the global Bond Index Tester market, encompassing market size, growth drivers, challenges, key players, and future trends. The market is estimated to be worth $300 million in 2024, projected to reach $450 million by 2030, exhibiting a robust Compound Annual Growth Rate (CAGR). This report leverages extensive primary and secondary research, offering valuable insights for stakeholders in the materials testing and mining industries.

Graph and download economic data for ICE BofA B & Lower US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread (BAMLEM4RBLLCRPIUSOAS) from 2003-12-31 to 2025-06-05 about B Bond Rating, sub-index, emerging markets, liquidity, option-adjusted spread, corporate, 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.

Templeton Emerging Markets (TEMstock): A Global Growth Story

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

Snapshot img

Fixed Income Assets Management Market Size 2025-2029

The fixed income assets management market size is forecast to increase by USD 9.16 tr at a CAGR of 6.3% between 2024 and 2029.

The market is experiencing significant growth, driven by increasing investor interest in fixed income securities as a hedge against market volatility. A key trend in this market is the expansion of bond Exchange-Traded Funds (ETFs), which offer investors liquidity, diversification, and cost savings. However, this market is not without risks. Transactions in fixed income assets involve complexities such as credit risk, interest rate risk, and liquidity risk, which require sophisticated risk management strategies. As global investors seek to capitalize on market opportunities and navigate these challenges effectively, they must stay informed of regulatory changes, market trends, and technological advancements. Companies that can provide innovative solutions for managing fixed income risks and optimizing returns will be well-positioned to succeed in this dynamic market.

What will be the Size of the Fixed Income Assets Management Market during the forecast period?

Request Free SampleThe fixed income assets market in the United States continues to be an essential component of investment portfolios for various official institutions and individual investors. With an expansive market size and growth, fixed income securities encompass various debt instruments, including corporate bonds and government treasuries. Interest rate fluctuations significantly impact this market, influencing investment decisions and affecting the returns from interest payments on these securities. Fixed income Exchange-Traded Funds (ETFs) and index managers have gained popularity due to their cost-effective and diversified investment options. However, the credit market volatility and associated default risk pose challenges for investors. In pursuit of financial goals, investors often choose fixed income funds over equities for their stable dividend income and tax savings benefits. Market risk and investors' risk tolerance are crucial factors in managing fixed income assets. Economic uncertainty and interest rate fluctuations necessitate active management by asset managers, hedge funds, and mutual funds. The fund maturity and investors' financial goals influence the choice between various fixed income securities, such as treasuries and loans. Despite the challenges, the market's direction remains positive, driven by the continuous demand for income-generating investments.

How is this Fixed Income Assets Management Industry segmented?

The fixed income assets management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD tr' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeCoreAlternativeEnd-userEnterprisesIndividualsGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaSouth AmericaMiddle East and Africa

By Type Insights

The core segment is estimated to witness significant growth during the forecast period.The fixed income asset management market encompasses a diverse range of investment vehicles, including index investing, pension funds, official institutions, mutual funds, investment advisory services, and hedge funds. This asset class caters to income holders with varying risk tolerances, offering securities such as municipal bonds, government bonds, and high yield bonds through asset management firms. Institutional investors, insurance companies, and corporations also play significant roles in this sector. Fixed income securities, including Treasuries, municipal bonds, corporate bonds, and debt securities, provide regular interest payments and can offer tax savings, making them attractive for investors with financial goals. However, liquidity issues and credit market volatility can pose challenges. The Federal Reserve's interest rate decisions and economic uncertainty also impact the fixed income market. Asset management firms employ various strategies, such as the core fixed income (CFI) strategy, which invests in a mix of investment-grade fixed-income securities. CFI strategies aim to deliver consistent performance by carefully managing portfolios, considering issuer creditworthiness, maturity, and jurisdiction. Fixed income funds, including government bonds and corporate bonds, offer lower market risk compared to equities. Investors can choose from various investment vehicles, including mutual funds, ETFs, and index funds managed by active managers or index managers. Fixed income ETFs, in particular, provide investors with the benefits of ETFs, such as liquidity and transparency, while offering exposure to the fixed income market. Despite market risks and liquidity issues, the fixed income asset management market continues to be

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Debt statistics provide a detailed picture of debt stocks and flows of developing countries. Data presented as part of the Quarterly External Debt Statistics takes a closer look at the external debt of high-income countries and emerging markets to enable a more complete understanding of global financial flows. The Quarterly Public Sector Debt database provides further data on public sector valuation methods, debt instruments, and clearly defined tiers of debt for central, state and local government, as well as extra-budgetary agencies and funds. Data are gathered from national statistical organizations and central banks as well as by various major multilateral institutions and World Bank staff.