Graph and download economic data for CBOE 10-Year Treasury Note Volatility Futures (DISCONTINUED) (VXTYN) from 2003-01-02 to 2020-05-15 about notes, volatility, stock market, 10-year, Treasury, and USA.

Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-09-04 about VIX, volatility, stock market, and USA.

View a 10-year yield estimated from the average yields of a variety of Treasury securities with different maturities derived from the Treasury yield curve.

Dataset

This dataset was created by CHAUDHARY MUHAMMAD QASIM AKRAM

Contents

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.

Bond Fund Sales Market Outlook

The bond fund sales market size was valued at approximately USD 10 trillion in 2023 and is projected to reach around USD 15 trillion by 2032, growing at a compound annual growth rate (CAGR) of 4.5%. This growth is primarily driven by increasing investor demand for stable and diversified income streams amidst global economic uncertainties. The market size expansion is fostered by factors such as an aging global population seeking more conservative investment options, heightened volatility in equity markets, and favorable regulatory changes supporting bond fund investments.

One of the primary growth factors for the bond fund sales market is the demographic shift towards an aging population, particularly in developed regions such as North America and Europe. As more individuals approach retirement age, there is a heightened need for investment products that offer steady income with reduced risk exposure. Bond funds, known for their relatively stable returns and lower volatility compared to equity funds, serve as an attractive option for this demographic. Additionally, the increasing life expectancy rates globally are pushing retirees to seek long-term investment solutions that can provide consistent income streams over extended periods.

Another significant growth driver is the evolving regulatory landscape that favors bond investments. Governments and financial regulatory bodies in various regions are implementing rules and guidelines that promote transparency and investor protection in the bond markets. These regulatory changes increase investor confidence and make bond funds more appealing to both retail and institutional investors. Furthermore, the introduction of green bonds and other socially responsible investment (SRI) products within the bond fund market is drawing interest from a growing segment of environmentally and socially conscious investors.

Technological advancements and the proliferation of digital investment platforms are also contributing to the growth of the bond fund sales market. Online platforms and robo-advisors are making it easier for retail investors to access and manage bond fund investments with lower fees and greater convenience. These platforms provide investors with tools and resources to make informed investment decisions, thereby increasing the participation rate of individual investors in the bond market. This digital transformation is democratizing access to bond funds and expanding the market's reach across various investor segments.

Regionally, the bond fund sales market exhibits diverse growth patterns. North America and Europe are expected to maintain their dominance due to their mature financial markets and high levels of investor awareness and engagement. However, the Asia-Pacific region is anticipated to exhibit the highest CAGR during the forecast period, driven by rapid economic growth, rising disposable incomes, and increasing investor sophistication. Latin America and the Middle East & Africa regions are also witnessing growing interest in bond funds, albeit at a slower pace, as these markets gradually develop and integrate into the global financial system.

Fund Type Analysis

Government bond funds are a cornerstone of the bond fund market, offering investors a relatively low-risk investment option backed by government securities. These funds have been traditionally appealing to risk-averse investors, including retirees and conservative institutional investors. The demand for government bond funds is amplified during periods of economic uncertainty, as they are perceived as safe havens. The increasing issuance of government bonds to finance fiscal stimulus and infrastructure projects globally is also contributing to the growth of this segment. Moreover, central banks' policies, such as quantitative easing, have increased the liquidity and attractiveness of these bonds.

Corporate bond funds represent a significant portion of the bond fund market, providing higher yields compared to government bonds, albeit with increased risk. These funds invest in bonds issued by corporations to finance their operations and expansions. The corporate bond market is highly dynamic, with companies frequently entering and exiting the market based on their financing needs and credit ratings. The growth of this segment is supported by strong corporate earnings and favorable economic conditions that enhance companies' ability to service their debt. Additionally, the trend towards globalization and cross-border investments is expanding the market for corporate bond funds.

Dataset Description: 34-year Daily Stock Data (1990-2024)

Context and Inspiration

This dataset captures historical financial market data and macroeconomic indicators spanning over three decades, from 1990 onwards. It is designed for financial analysis, time series forecasting, and exploring relationships between market volatility, stock indices, and macroeconomic factors. This dataset is particularly relevant for researchers, data scientists, and enthusiasts interested in studying: - Volatility forecasting (VIX) - Stock market trends (S&P 500, DJIA, HSI) - Macroeconomic influences on markets (joblessness, interest rates, etc.) - The effect of geopolitical and economic uncertainty (EPU, GPRD)

Sources

The data has been aggregated from a mix of historical financial records and publicly available macroeconomic datasets: - VIX (Volatility Index): Chicago Board Options Exchange (CBOE). - Stock Indices (S&P 500, DJIA, HSI): Yahoo Finance and historical financial databases. - Volume Data: Extracted from official exchange reports. - Macroeconomic Indicators: Bureau of Economic Analysis (BEA), Federal Reserve, and other public records. - Uncertainty Metrics (EPU, GPRD): Economic Policy Uncertainty Index and Global Policy Uncertainty Database.

Columns

1. dt: Date of observation in YYYY-MM-DD format.
2. vix: VIX (Volatility Index), a measure of expected market volatility.
3. sp500: S&P 500 index value, a benchmark of the U.S. stock market.
4. sp500_volume: Daily trading volume for the S&P 500.
5. djia: Dow Jones Industrial Average (DJIA), another key U.S. market index.
6. djia_volume: Daily trading volume for the DJIA.
7. hsi: Hang Seng Index, representing the Hong Kong stock market.
8. ads: Aruoba-Diebold-Scotti (ADS) Business Conditions Index, reflecting U.S. economic activity.
9. us3m: U.S. Treasury 3-month bond yield, a short-term interest rate proxy.
10. joblessness: U.S. unemployment rate, reported as quartiles (1 represents lowest quartile and so on).
11. epu: Economic Policy Uncertainty Index, quantifying policy-related economic uncertainty.
12. GPRD: Geopolitical Risk Index (Daily), measuring geopolitical risk levels.
13. prev_day: Previous day’s S&P 500 closing value, added for lag-based time series analysis.

Key Features

• Cross-Market Analysis: Compare U.S. markets (S&P 500, DJIA) with international benchmarks like HSI.
• Macroeconomic Insights: Assess how external factors like joblessness, interest rates, and economic uncertainty affect markets.
• Temporal Scope: Longitudinal data facilitates trend analysis and machine learning model training.

Potential Use Cases

• Forecasting market indices using machine learning or statistical models.
• Building volatility trading strategies with VIX Futures.
• Economic research on relationships between policy uncertainty and market behavior.
• Educational material for financial data visualization and analysis tutorials.

Feel free to use this dataset for academic, research, or personal projects.

Daily corporate bond returns for Euroarea, US and emerging markets

Treasury Management System (TMS) Market Outlook 2032

The global treasury management system (TMS) market size was USD 4.76 Billion in 2023 and is projected to reach USD 7.65 Billion by 2032, expanding at a CAGR of 12.6% during 2024–2032. The market growth is attributed to enhanced efficiency, operational control, and growth in cloud technology.



The growing significance of treasury management systems (TMS) has become increasingly evident in financial management. The ever-increasing complexity of the global financial landscape necessitates corporations to optimize their financial operations. The adoption of TMS offers an array of benefits including enhanced cash visibility, better control over financial risks, improved financial decision-making, and increased operational efficiencies that improve the overall financial health of an organization.

The fast-paced business-world requires organizations to be proactive in managing their financial positions, and TMS provides access to real-time financial data, thus enabling companies to be flexible and nimble. Additionally, regulatory changes combined with the volatility in the global financial markets compel corporations to automate their treasury functions to ensure compliance and manage risks effectively.



Cloud-based TMS solutions are increasingly deployed as digital transformation escalates. This trend is attributable to the scalability, lower total cost of ownership, quick deployment capabilities, and the need for minimal involvement of IT resources associated with cloud-based TMS solutions. Moreover, the advent of innovative technologies such as predictive analytics, artificial intelligence, and Blockchain, further offers untapped opportunities for the industry players.

Impact of Artificial Intelligence (AI) on the Treasury Management System (TMS)Market

Artificial Intelligence has a significant impact on the treasury management system (TMS) market. Integration of AI capabilities into TMS results in streamlined processes in treasury departments- predominantly in the realms of decision-making, risk management, and predictive analysis. "https://dataintelo.com/report/artificial-intelligence-market" style="color:#0563c1; " target="_blank"><span style="tex

Data and code for: Time-Varying Causality between Bond and Oil Markets of the United States: Evidence from Over One and Half Centuries of Data

This study utilizes a local projections framework to analyze the macroeconomic and finan-cial market repercussions of an unanticipated increase in U.S. corporate bond spreads. Spe-cifically, it quantifies the effects of a one percentage point rise in the excess bond premium, as defined by Gilchrist and Zakrajšek (2012), on key real economic indicators using quarter-ly data, while also assessing the corresponding responses of stock prices and exchange rates on a monthly basis. The resulting impulse response functions reveal that a shock to corporate bond spreads exerts a statistically significant negative impact on economic activity and stock prices, while concurrently leading to an appreciation of the U.S. dollar. Further analysis, achieved by dividing the sample into two distinct periods, demonstrates that the adverse ef-fects of financial shocks on real GDP post-1995 are less pronounced but exhibit greater per-sistence. Additionally, an increase in stock price volatility suggests that widening bond spreads may themselves contribute to heightened uncertainty. The findings further under-score the U.S. dollar's role as a safe haven and highlight the potential of U.S. financial shocks to propagate global uncertainty.

South African monthly The FTSE/JSE All Share Index data was procured from Bloomberg and the nominal effective exchange rate (NEER) from South African Reserve Bank (SARB) database, where the data has been seasonally adjusted specifying 2015 as the base year. Volatility measures in these markets are generated through a multivaraite EGARCH model in the WinRATS software. South African monthly consumer price index (CPI) data was procured from the International Monetary Fund’s International Financial Statistics (IFS) database, where the data has been seasonally adjusted, specifying 2010 as the base year. The inflation rate is constructed by taking the year-on-year changes in the monthly CPI figures. Inflation uncertainty was generated through the GARCH model in Eviews software. The following South African macroeconomic variables were procured from the SARB: real industrial production (IP), which is used as a proxy for real GDP, real investment (I), real consumption (C), inflation (CPI), broad money (M3), the 3-month treasury bill rate (TB3) and the policy rate (R), a measure of U.S. EPU developed by Baker et al. (2016) to account for global developments available at http://www.policyuncertainty.com/us_monthly.html.

Convertible Bond Market Outlook

The global convertible bond market size was valued at approximately USD 300 billion in 2023 and is projected to reach around USD 500 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.5% during the forecast period. This growth can be attributed to several factors, including increased demand for hybrid financial instruments that offer both debt and equity characteristics, favorable regulatory environments, and the continued search for higher yield investment opportunities amidst low interest rate scenarios globally.

One of the primary growth drivers for the convertible bond market is the increasing volatility in the equity markets, which has driven investors to seek instruments that offer both downside protection and upside potential. Convertible bonds, with their embedded equity options, provide a unique investment vehicle that meets these needs. Additionally, corporations have found convertible bonds to be an attractive financing option due to lower coupon rates compared to traditional bonds and the ability to convert debt into equity, which can be beneficial in managing their capital structure.

Another significant factor fueling the market's growth is the continuous innovation and customization of convertible bond structures. Financial institutions are developing new types of convertible bonds, such as contingent convertibles (CoCo bonds), which are designed to convert into equity under specific conditions. These innovations address the diverse needs of issuers and investors, enhancing the market's appeal and contributing to its expansion. Furthermore, the regulatory environment in key financial markets has been supportive of convertible bond issuance, providing a conducive framework for growth.

Moreover, the ongoing low-interest-rate environment in many developed economies has been a critical driver of the convertible bond market. Investors, in search of yield, are increasingly drawn to convertible bonds due to their potential for higher returns compared to traditional fixed-income securities. This trend is expected to continue as central banks maintain accommodative monetary policies, thereby supporting the demand for convertible bonds.

Regionally, North America holds the largest share of the global convertible bond market, driven by a robust financial infrastructure and a high level of corporate activity. However, Asia Pacific is anticipated to witness the fastest growth during the forecast period, fueled by increasing adoption of convertible bonds by corporations in emerging markets such as China and India. The dynamic economic environment in these countries, coupled with regulatory reforms aimed at deepening capital markets, is likely to boost the demand for convertible bonds.

Type Analysis

The convertible bond market can be segmented by type into Vanilla Convertible Bonds, Mandatory Convertible Bonds, Reverse Convertible Bonds, and Contingent Convertible Bonds. Vanilla convertible bonds are the most traditional form, offering straightforward conversion terms. Issuers favor these due to their simplicity and established market acceptance. The demand for vanilla convertibles is primarily driven by their balanced risk-reward profile, offering investors both fixed-income and equity upside potential, making them attractive in volatile market conditions.

Mandatory convertible bonds, on the other hand, require conversion into equity at a predetermined date. These bonds are particularly appealing to companies looking to raise equity capital without immediate dilution of existing shareholders. The structured conversion terms provide a predictable path for equity issuance, which can be advantageous for financial planning. Investors are drawn to mandatory convertibles for their higher yields compared to vanilla bonds, compensating for the mandatory conversion feature.

Reverse convertible bonds are more complex instruments that offer higher coupon rates but come with the risk of converting into equity if the underlying stock falls below a certain price. These bonds are typically used by sophisticated investors willing to take on additional risk for higher returns. Issuers benefit from lower costs compared to traditional debt, while investors benefit from attractive yields and potential equity participation. However, the inherent risk profile limits their appeal to risk-tolerant market participants.

Contingent convertible bonds (CoCo bonds) are designed to convert into equity under specific conditions, such as when a company&#0

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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 a crucial component of

Real-Time Treasury Platform Market Outlook

According to our latest research, the global real-time treasury platform market size reached USD 5.2 billion in 2024, exhibiting robust momentum with a compound annual growth rate (CAGR) of 11.4% during the forecast period. This market is projected to attain a value of USD 13.6 billion by 2033, driven by the increasing adoption of digital treasury solutions, the rising demand for real-time cash visibility, and the imperative for enhanced risk management across global enterprises. As per our in-depth analysis, the market’s expansion is primarily fueled by the rapid digital transformation initiatives undertaken by both large enterprises and SMEs, coupled with the proliferation of cloud-based solutions that offer scalability, flexibility, and cost efficiency.

One of the most significant growth factors for the real-time treasury platform market is the escalating need for real-time cash and liquidity management. In an era marked by global economic volatility and heightened market uncertainties, organizations are prioritizing the optimization of their treasury operations. Real-time treasury platforms empower finance teams with instant access to cash positions and liquidity forecasts, enabling informed decision-making and efficient allocation of working capital. This capability is especially critical for multinational corporations that operate across multiple jurisdictions and currencies, as it allows for seamless cash pooling, intercompany funding, and effective risk mitigation. The integration of advanced analytics and artificial intelligence (AI) into these platforms further enhances their value proposition by providing predictive insights and scenario modeling, thereby facilitating proactive treasury management.

Another key driver propelling the market is the stringent regulatory landscape governing corporate treasury functions. Regulatory mandates such as Basel III, the Dodd-Frank Act, and the European Market Infrastructure Regulation (EMIR) have heightened the need for transparency, compliance, and auditability in financial transactions. Real-time treasury platforms are designed to address these regulatory requirements by offering automated compliance checks, real-time monitoring of transactions, and comprehensive audit trails. These platforms also enable organizations to adhere to evolving standards related to anti-money laundering (AML), know your customer (KYC), and payment security, reducing the risk of non-compliance and associated penalties. As regulatory scrutiny intensifies globally, the adoption of advanced treasury management solutions is expected to witness sustained growth.

The increasing prevalence of cyber threats and financial fraud is also a pivotal growth factor for the real-time treasury platform market. With the digitization of financial processes, treasury departments are becoming prime targets for cybercriminals seeking to exploit vulnerabilities in payment workflows and cash management systems. Real-time treasury platforms address these challenges by incorporating robust security features such as multi-factor authentication, end-to-end encryption, and real-time fraud detection mechanisms. These platforms not only safeguard sensitive financial data but also enable organizations to respond swiftly to suspicious activities, thereby minimizing the risk of financial losses. The convergence of cybersecurity and treasury management is expected to drive further innovation and investment in this market.

From a regional perspective, North America currently dominates the real-time treasury platform market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The strong presence of multinational corporations, advanced IT infrastructure, and a mature financial ecosystem in North America have contributed to the widespread adoption of real-time treasury solutions. Europe is witnessing significant growth due to the increasing regulatory pressures and the need for efficient cross-border payment management. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rapid economic expansion, digital transformation initiatives, and the proliferation of cloud-based treasury platforms among SMEs. Latin America and the Middle East & Africa are also experiencing steady adoption, albeit at a comparatively moderate pace, as enterprises in these regions gradually embrace digital treasury solutions to enhance operational efficiency and competitiveness.

Component

ABSTRACT The aim of this paper is to investigate the performance of low-volatility portfolio strategies representing risk aversion after the 2008 global financial crisis. Five investment portfolios were built by taking into consideration the weight distribution criteria defined by the inverse of the standard deviation of assets, the natural logarithm and exponential of these values, as well as the minimum variance and tangent portfolios, based on the S&P 500 futures index, dollar futures index, US government long-term bond (10-year Treasury Bond) and gold futures. The design of the strategies used both twelve- and thirty-month rolling windows for the standard deviation and conditional volatility estimates. Mean return of portfolio, risk through standard deviation, Sharpe index, and risk-adjusted return were calculated for evaluation purposes. Results have evidenced that, together, risk-based portfolios using 12-month rolling window or conditional volatility were superior to the tangent portfolio, as well as that the minimum variance portfolio was competitive to other alternatives. The main contribution of the current study lies in the fact that risk aversion was relevant to portfolios’ performance in the post-crisis period.

Graph and download economic data for ICE BofA US Corporate Index Option-Adjusted Spread (BAMLC0A0CM) from 1996-12-31 to 2025-09-04 about option-adjusted spread, corporate, and USA.