Graph and download economic data for Rest of the World; Foreign Direct Investment in U.S.: Equity; Asset (Market Value), Level (BOGZ1FL263092141A) from 1945 to 2024 about FDI, market value, equity, assets, and USA.

The present dataset stems from the collection in October 2021, through an academic access to the Twitter API, of all tweets ever published that mention any term belonging to a manually defined set of English keywords relevant to the topic of impact investing (II): namely, {impactinvest*, impactbond*, impactfinance, socialfinance, #impinv, #socialimpactbonds}. We gathered a total of 1.89 million “relevant tweets”, published between 2007 and 2021, corresponding to 299 thousand unique users. We then reduced this volume and focused on accounts that were sufficiently active on the topic, or had a minimal audience, in order to capture actual participants to the II social world.

Main associated publications. • Chiapello, E., Roth, C. (in press, to appear in May 2025) Socio-genesis of the impact investing world in France. In: Balsiger, P., Burnier, P., Kabouche, N. (eds) Varieties of Impact Investing. Bristol University Press; ISBN 978-1529238167 — [editor version] • Mangold, L., Roth, C. (in press) Quantifying metadata-structure relationships in networks using description length. Nature Communications Physics — [open-access version: arxiv:2311.18705] • Lobbé, Q., Roth, C.. Mangold, L. (submitted) Chronoblox: Chronophotographic Sequential Graph Visualization — [open-access version: arxiv:2405.07506]

VC investors remain the largest investment group in AI companies in 2025 with ** percent share. Incubator investment saw a significant spike in the first quarter of 2025 but dropped considerably in the next quarters.

The ************ consecutive investment goal among retail investors worldwide was investing for retirement. While the number of investors prioritizing retirement did drop by ***** percent from 2018, retirement was still a priority for roughly **** of all retail investors surveyed.

Graph and download economic data for Rest of the World; Foreign Corporate Equities Including Foreign Investment Fund Shares; Liability, Transactions (BOGZ1FA263164100A) from 1946 to 2024 about foreign, equity, transactions, liabilities, and investment.

A list of the top 50 Capital World Investors holdings showing which stocks are owned by Capital World Investors's hedge fund.

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Mutual Funds Market Size 2025-2029

The mutual funds market size is valued to increase USD 85.5 trillion, at a CAGR of 9.9% from 2024 to 2029. Market liquidity will drive the mutual funds market.

Major Market Trends & Insights

North America dominated the market and accounted for a 52% growth during the forecast period.
By Type - Stock funds segment was valued at USD 50.80 trillion in 2023
By Distribution Channel - Advice channel segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 151.38 trillion
Market Future Opportunities: USD 85.50 trillion
CAGR : 9.9%
North America: Largest market in 2023

Market Summary

The market represents a dynamic and ever-evolving financial landscape, characterized by continuous growth and innovation. With core technologies such as artificial intelligence and machine learning increasingly shaping investment strategies, mutual funds have become a preferred choice for individual and institutional investors alike. According to recent reports, mutual fund assets under management globally reached an impressive 61.8 trillion USD as of 2021, underscoring the market's substantial size and influence. However, the market is not without challenges. Transaction risks, regulatory compliance, and competition from alternative investment vehicles remain significant hurdles.
Despite these challenges, opportunities abound, particularly in developing nations where mutual fund adoption rates have been on the rise. For instance, mutual fund assets in Asia Pacific grew by 15.3% in 2020, outpacing the global average. As market liquidity continues to improve and regulatory frameworks evolve, the market is poised for further expansion and transformation.

What will be the Size of the Mutual Funds Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Mutual Funds Market Segmented and what are the key trends of market segmentation?

The mutual funds industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD trillion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Stock funds
  Bond funds
  Money market funds
  Hybrid funds


Distribution Channel

  Advice channel
  Retirement plan channel
  Institutional channel
  Direct channel
  Supermarket channel


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    Australia
    China
    India


  Rest of World (ROW)

By Type Insights

The stock funds segment is estimated to witness significant growth during the forecast period.

Mutual funds, specifically those investing in stocks, constitute a significant segment of the financial market. These funds exhibit diverse characteristics, catering to various investor preferences. For instance, growth funds prioritize stocks with high growth potential, while income funds focus on securities yielding regular dividends. Index funds mirror a specific market index, such as the S&P 500, and sector funds zero in on a particular industry sector. Share classes within mutual funds differ based on the share of investment. For example, large-cap funds allocate a minimum of 80% of their assets to large-cap companies, which represent the top 100 firms in terms of market capitalization.

Investors can opt for dividend reinvestment plans, enabling them to reinvest their dividends to maximize returns. Tax-efficient investing strategies, such as tax-loss harvesting, help minimize tax liabilities. Bond fund yields and currency exchange risk are essential considerations for investors in bond funds. Risk management strategies, including diversification and asset allocation models, play a crucial role in mitigating potential losses. Fund manager expertise and regulatory compliance frameworks are essential factors for investors. Hedge fund strategies, financial statement audits, actively managed funds, and passive investment strategies all contribute to the evolving mutual fund landscape. Expense ratios, asset allocation models, capital gains distributions, and portfolio rebalancing techniques are essential metrics for evaluating mutual fund performance.

Inflation-adjusted returns and equity fund volatility are crucial for long-term investment planning. Alternative investment funds and exchange-traded funds (ETFs) offer additional investment opportunities, with global diversification benefits and passive investment strategies gaining popularity. Nav calculation methods and passive investment strategies further broaden the scope of mutual fund investments. According to recent studies, stock mutual fund adoption stands at 35%, with expectations of a 21% increase in industry participation over the next five years. Meanwhil

Global fintech investments experienced a substantial increase from 2010 to 2019, reaching their highest point at ***** billion U.S. dollars. In 2020, investments fell sharply to under *** billion U.S. dollars, before recovering strongly in 2021 to exceed *** billion U.S. dollars. Following this 2021 peak, fintech investment levels declined significantly, with 2024 recording the lowest investment value since 2017. Throughout these fluctuations, the ******** consistently attracted the majority of investments, representing over half of the total global investment volume. Fintech revolution: North America lead the charge Fintech refers to innovative startups in the financial sector that leverage modern technology to revolutionize financial services. These companies develop digitally enhanced products, offering widespread access to financial services at lower costs compared to traditional institutions. Their solutions often improve efficiency, accessibility, and user experience in various financial operations. As of 2024, ************* led the global fintech landscape with over ****** fintech businesses, establishing the region as the world's premier hub for financial technology innovation. Which is the largest fintech unicorn in the U.S.? In early 2025, Stripe, a San Francisco-based payment processing services company, led the U.S. fintech unicorn sector with a valuation of ** billion U.S. dollars. This positioned Stripe as the most valuable fintech unicorn in the United States. Following Stripe was Chime, another significant player in the fintech space, valued at ** billion U.S. dollars. The substantial valuations of these companies underscore the growing importance and financial clout of innovative payment and banking solutions in the U.S. financial technology landscape.

United States - Rest of the World; Equity and Investment Fund Shares; Asset (IMA), Level was 36778421.00000 Mil. of $ in April of 2025, according to the United States Federal Reserve. Historically, United States - Rest of the World; Equity and Investment Fund Shares; Asset (IMA), Level reached a record high of 36778421.00000 in April of 2025 and a record low of 4517.00000 in October of 1948. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Rest of the World; Equity and Investment Fund Shares; Asset (IMA), Level - last updated from the United States Federal Reserve on November of 2025.

The "Stock Market Dataset for AI-Driven Prediction and Trading Strategy Optimization" is designed to simulate real-world stock market data for training and evaluating machine learning models. This dataset includes a combination of technical indicators, market metrics, sentiment scores, and macroeconomic factors, providing a comprehensive foundation for developing and testing AI models for stock price prediction and trading strategy optimization.

Key Features Market Metrics:

Open, High, Low, Close Prices: Daily stock price movement. Volume: Represents the trading activity during the day. Technical Indicators:

RSI (Relative Strength Index): A momentum oscillator to measure the speed and change of price movements. MACD (Moving Average Convergence Divergence): An indicator to reveal changes in strength, direction, momentum, and duration of a trend. Bollinger Bands: Upper and lower bands around a stock price to measure volatility. Sentiment Analysis:

Sentiment Score: Simulated sentiment derived from financial news and social media, ranging from -1 (negative) to 1 (positive). Macroeconomic Factors:

GDP Growth: Indicates the overall health and growth of the economy. Inflation Rate: Reflects changes in purchasing power and economic stability. Target Variable:

Buy/Sell Signal: Binary classification (1 = Buy, 0 = Sell) based on price movement thresholds, simulating actionable trading decisions. Use Cases AI Model Training: Ideal for building stock prediction models using LSTM, Gradient Boosting, Random Forest, etc. Trading Strategy Optimization: Enables testing of trading algorithms and strategies in a simulated environment. Sentiment Analysis Research: Useful for understanding how sentiment influences stock movements. Feature Engineering and Selection: Provides a diverse set of features for experimentation with advanced techniques like PCA and LDA. Dataset Highlights Synthetic Yet Realistic: Carefully designed to mimic real-world financial data trends and relationships. Comprehensive Coverage: Includes key indicators and metrics used by traders and analysts. Scalable: Suitable for use in both small-scale academic projects and larger AI-driven trading platforms. Accessible for All Levels: The intuitive structure ensures that even beginners can utilize this dataset for financial machine learning applications. File Format The dataset is provided in CSV format, where:

Rows represent individual trading days. Columns represent features (technical indicators, market metrics, etc.) and the target variable. Acknowledgments This dataset is synthetically generated and is intended for research and educational purposes. It is not based on real market data and should not be used for actual trading.

United States - Rest of the World; Foreign Direct Investment in U.S.; Asset (Market Value), Transactions was 241968.00000 Mil. of $ in April of 2025, according to the United States Federal Reserve. Historically, United States - Rest of the World; Foreign Direct Investment in U.S.; Asset (Market Value), Transactions reached a record high of 956604.00000 in January of 2015 and a record low of -293968.00000 in January of 2014. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Rest of the World; Foreign Direct Investment in U.S.; Asset (Market Value), Transactions - last updated from the United States Federal Reserve on November of 2025.

The average for 2023 based on 55 countries was 267.33 billion U.S. dollars. The highest value was in the USA: 5971.33 billion U.S. dollars and the lowest value was in the Seychelles: 0.45 billion U.S. dollars. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Graph and download economic data for Rest of the World; Foreign Corporate Equities Including Foreign Investment Fund Shares; Liability, Market Value Levels (BOGZ1LM263164100Q) from Q4 1945 to Q2 2025 about market value, foreign, equity, liabilities, and investment.

Japan JP: Foreign Direct Investment Position: Outward: Total: Iran, Islamic Republic Of data was reported at 1,433.676 JPY mn in 2023. This stayed constant from the previous number of 1,433.676 JPY mn for 2022. Japan JP: Foreign Direct Investment Position: Outward: Total: Iran, Islamic Republic Of data is updated yearly, averaging 1,307.296 JPY mn from Dec 2014 (Median) to 2023, with 10 observations. The data reached an all-time high of 1,433.676 JPY mn in 2023 and a record low of 568.538 JPY mn in 2014. Japan JP: Foreign Direct Investment Position: Outward: Total: Iran, Islamic Republic Of data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.FDI: Foreign Direct Investment Position: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the direct investor. FDI financial flows, income flows and positions include, if they exist, resident Special Purpose Entities (SPEs) which cannot be identified separately. Valuation method used for listed inward and outward equity positions: Own funds at book value, Accumulation of FDI equity flows. Valuation method used for unlisted inward and outward equity positions: Own funds at book value, Accumulation of FDI equity flows. Valuation method used for inward and outward debt positions: Nominal value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered . Collective investment institutions are covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

United States - Rest of the World; Equity and Investment Fund Shares Excluding Mutual Fund Shares and Money Market Fund Shares; Liability (IMA), Transactions was 493870.00000 Mil. of $ in April of 2025, according to the United States Federal Reserve. Historically, United States - Rest of the World; Equity and Investment Fund Shares Excluding Mutual Fund Shares and Money Market Fund Shares; Liability (IMA), Transactions reached a record high of 1209817.00000 in January of 2020 and a record low of -687952.00000 in October of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Rest of the World; Equity and Investment Fund Shares Excluding Mutual Fund Shares and Money Market Fund Shares; Liability (IMA), Transactions - last updated from the United States Federal Reserve on November of 2025.

IFC continues to develop new financial products that enable companies to manage risk and broaden their access to foreign and domestic capital markets. Our broad suite of investment services can ease poverty and spur long-term growth by promoting sustainable enterprises, encouraging entrepreneurship, and mobilizing resources that wouldn’t otherwise be available.For project information IFC discloses on a daily basis, please refer to the IFC Disclosure Portal: http://www.ifc.org/disclosure

Graph and download economic data for Rest of the World; Foreign Nonbank Affiliate Other Investment by Holding Companies, Excluding Foreign Deposits; Liability, Level (BOGZ1FL263194715Q) from Q4 1945 to Q2 2025 about nonbank, companies, foreign, liabilities, deposits, World, investment, and USA.

Total-Cashflows-From-Investing-Activities Time Series for Global Payments Inc. Global Payments Inc. provides payment technology and software solutions for card, check, and digital-based payments in the Americas, Europe, and the Asia-Pacific. It operates through two segments, Merchant Solutions and Issuer Solutions. The Merchant Solutions segment offers authorization, settlement and funding, customer support, chargeback resolution, reconciliation and dispute management, terminal rental, sales and deployment, payment security, and consolidated billing and reporting services. This segment also provides an array of enterprise software solutions that streamline business operations of its customers in various vertical markets; and value-added solutions and services, such as point-of-sale software, analytics and customer engagement, payroll and reporting, and human capital management. The Issuer Solutions segment offers solutions that enable financial institutions and retailers to manage their card portfolios through a platform; and commercial payments, accounts payables, and electronic payment alternatives solutions for businesses and governments. It markets its products and services through direct sales force, trade associations, agent and enterprise software providers, referral arrangements with value-added resellers, and independent sales organizations. The company was founded in 1967 and is headquartered in Atlanta, Georgia.

Portfolio Risk Management Software Market size was valued at USD 3.1 Billion in 2023 and is projected to reach USD 12.9 Billion by 2030, growing at a CAGR of 14.3% during the forecasted period 2024 to 2030

Global Portfolio Risk Management Software Market Drivers

Increasing Complexity of Financial Markets: The need for sophisticated portfolio risk management software is driven by the financial markets' increasing complexity, which includes a wide range of investment products, asset classes, and interconnection across the world economy. In volatile market situations, investors and asset managers need advanced tools and analytics to evaluate and reduce risks across their investment portfolios.

Needs for Regulatory Compliance: Financial institutions and investment organizations must improve their risk management processes and transparency in order to comply with strict regulatory mandates and reporting requirements such as Basel III, Solvency II, MiFID II, and the Dodd-Frank Act. Software solutions for portfolio risk management make regulatory compliance easier and enable features like scenario analysis, stress testing, and risk reporting.

Prudent Investing Techniques: The trend toward risk-aware investing techniques like factor investing, tail risk hedging, risk parity, and smart beta emphasizes how crucial it is to manage portfolio risk effectively. With the use of quantitative risk models and optimization strategies made possible by risk management software, investors aim to maximize risk-adjusted returns, reduce downside risk, and control portfolio volatility.

Volatility and Uncertainty in Financial Markets: The requirement for real-time risk monitoring, scenario analysis, and stress testing capabilities provided by portfolio risk management software is driven by increased market volatility, geopolitical instability, and macroeconomic uncertainty. In order to control portfolio performance, investors attempt to evaluate and manage risks associated with systemic events, market shocks, and geopolitical threats.

Put Risk-adjusted Performance First: When assessing investment strategies and portfolio allocations, investors are placing a greater emphasis on risk-adjusted performance metrics including the Sharpe ratio, Sortino ratio, and information ratio. Portfolio risk management software integrates risk metrics with performance attribution and portfolio optimization tools to give investors the ability to track, evaluate, and improve risk-adjusted returns.

The need for ALM, or asset-liability management: Robust asset-liability management (ALM) solutions are necessary for institutional investors, insurance firms, pension funds, and endowments to manage liquidity risk, long-term liabilities, and asset allocation choices. ALM features like cash flow modeling, duration matching, immunization tactics, and liability-driven investing (LDI) approaches are provided by portfolio risk management software.

Technological and analytical advances: The constant progress in data analytics, artificial intelligence (AI), and technology propels innovation in portfolio risk management software. Capabilities for risk modeling, scenario analysis, and decision assistance are improved by features including big data analytics, machine learning, predictive analytics, and natural language processing (NLP).

Cloud-based solutions are in demand: Cloud-based portfolio risk management software solutions being adopted more quickly as cloud computing and software-as-a-service (SaaS) delivery methods gain traction. With web-based interfaces, cloud-based platforms provide scalability, flexibility, and accessibility, allowing users to access analytics and risk management capabilities at any time and from any location.

Emphasis on Enterprise-Wide Risk Management: Businesses want to include risk management procedures into front-, middle-, and back-office operations. By facilitating enterprise-wide risk aggregation, reporting, and governance, portfolio risk management software solutions help enterprises monitor and manage risks holistically across business units and asset classes.