The share of systematic hedge fund launches that uses artificial intelligence or machine learning grew overall during the last decade. One percent of fund launches in 2010 used artificial intelligence or machine learning, and the proportion peaked at 24 percent of fund launches in 2018.

The US hedge fund market, a significant segment of the global alternative investment landscape, is projected to experience robust growth over the forecast period (2025-2033). With a 2025 market size estimated at $2.77 trillion (based on global data and US market dominance), a Compound Annual Growth Rate (CAGR) of 6.52% suggests a substantial expansion. This growth is driven by several factors, including increasing institutional investor participation seeking higher returns beyond traditional asset classes, the ongoing development of sophisticated investment strategies like quantitative and data-driven approaches, and a persistent need for diversification within investment portfolios. While regulatory scrutiny and economic uncertainty pose potential constraints, the adaptability of hedge fund managers and their capacity to navigate market volatility are expected to mitigate these risks. Specific strategies like equity, macro, and event-driven approaches continue to attract significant capital, alongside the rising prominence of more specialized niche strategies catering to unique market opportunities. The concentration of major players like Bridgewater Associates and Renaissance Technologies within the US contributes significantly to the market's strength and dynamism. The competitive landscape within the US hedge fund market remains fiercely contested. Established firms consistently refine their strategies and leverage technological advancements to maintain an edge, while emerging managers seek to differentiate themselves through innovative approaches. Geographic concentration, with a significant portion of the market residing in major financial hubs like New York and Connecticut, suggests opportunities for regional expansion and potential diversification into less saturated areas. The ongoing evolution of technology, particularly within artificial intelligence and machine learning, is expected to significantly impact investment strategies and operational efficiencies across the industry, driving further growth and innovation in the coming years. The overall outlook remains optimistic, with the US hedge fund market poised for considerable expansion fueled by evolving investor demands and the inherent resilience of alternative investment strategies. Recent developments include: January 2024: The Palm Beach Hedge Fund Association (PBHFA), the premier trade association for investors and financial professionals in South Florida, and Entoro, a leading boutique finance and investment banking group, announced a strategic partnership to improve deal distribution for hedge funds., October 2022: Divya Nettimi, a former Viking Global Investors portfolio manager who oversaw over USD 4 billion at the Greenwich, Connecticut-based hedge fund firm, became the first woman to launch a hedge fund that has committed more than USD 1 billion.. Key drivers for this market are: Positive Trends in Equity Market is Driving the Market. Potential restraints include: Positive Trends in Equity Market is Driving the Market. Notable trends are: Rise of the Crypto Hedge Funds in United States.

AIML hedge funds, which are hedge funds using artificial intelligence or machine learning, performed better than systematic hedge funds and all hedge funds during the second quarter 2019, but performed the worst during the other quarters of that year. During the third quarter 2019, AIML hedge funds had negative net returns of 2.82 percent, while systematic hedge funds had negative net returns of -0.11 percent. However, AIML hedge funds outperform other hedge funds in the long run.

Quant Fund Market size was valued at USD 16,008.69 Billion in 2023 and is projected to reach USD 31,365.94 Billion by 2031, at a CAGR of 10.09% from 2024 to 2031.

Quant Fund Market Definition

Quant Funds, short for quantitative funds, represent a distinctive category of investment vehicles that rely on advanced mathematical models and algorithmic methodologies for decision-making. These funds operate on a systematic and rule-based approach, utilizing computer-driven algorithms to guide the entire investment process, from asset allocation to stock selection. Unlike traditional actively managed funds, quant funds minimize human intervention and emotional biases in investment decisions, placing a strong emphasis on data-driven analysis and predefined quantitative models.

In the realm of quant funds, fund managers play a pivotal role in crafting and refining the quantitative models that govern investment strategies. Their primary responsibility lies in overseeing the development of algorithms, ensuring their relevance to market conditions, and periodically refining the models to adapt to evolving financial landscapes. However, the day-to-day decision-making process is largely automated, with the algorithms executing buy or sell orders based on predetermined criteria, thereby reducing the impact of subjective judgment and emotional reactions.

AIML hedge funds, which utilize artificial intelligence or machine learning, performed better than other hedge funds in the long run. AIML hedge funds had the lowest average return during 2019, but higher returns than the other over a three-year and five-year perspective.

Lucror Analytics: Proprietary Hedge Funds Data for Credit Quality & Bond Valuation

At Lucror Analytics, we provide cutting-edge corporate data solutions tailored to fixed income professionals and organizations in the financial sector. Our datasets encompass issuer and issue-level credit quality, bond fair value metrics, and proprietary scores designed to offer nuanced, actionable insights into global bond markets that help you stay ahead of the curve. Covering over 3,300 global issuers and over 80,000 bonds, we empower our clients to make data-driven decisions with confidence and precision.

By leveraging our proprietary C-Score, V-Score , and V-Score I models, which utilize CDS and OAS data, we provide unparalleled granularity in credit analysis and valuation. Whether you are a portfolio manager, credit analyst, or institutional investor, Lucror’s data solutions deliver actionable insights to enhance strategies, identify mispricing opportunities, and assess market trends.

What Makes Lucror’s Hedge Funds Data Unique?

Proprietary Credit and Valuation Models Our proprietary C-Score, V-Score, and V-Score I are designed to provide a deeper understanding of credit quality and bond valuation:

C-Score: A composite score (0-100) reflecting an issuer's credit quality based on market pricing signals such as CDS spreads. Responsive to near-real-time market changes, the C-Score offers granular differentiation within and across credit rating categories, helping investors identify mispricing opportunities.

V-Score: Measures the deviation of an issue’s option-adjusted spread (OAS) from the market fair value, indicating whether a bond is overvalued or undervalued relative to the market.

V-Score I: Similar to the V-Score but benchmarked against industry-specific fair value OAS, offering insights into relative valuation within an industry context.

Comprehensive Global Coverage Our datasets cover over 3,300 issuers and 80,000 bonds across global markets, ensuring 90%+ overlap with prominent IG and HY benchmark indices. This extensive coverage provides valuable insights into issuers across sectors and geographies, enabling users to analyze issuer and market dynamics comprehensively.

Data Customization and Flexibility We recognize that different users have unique requirements. Lucror Analytics offers tailored datasets delivered in customizable formats, frequencies, and levels of granularity, ensuring that our data integrates seamlessly into your workflows.

High-Frequency, High-Quality Data Our C-Score, V-Score, and V-Score I models and metrics are updated daily using end-of-day (EOD) data from S&P. This ensures that users have access to current and accurate information, empowering timely and informed decision-making.

How Is the Data Sourced? Lucror Analytics employs a rigorous methodology to source, structure, transform and process data, ensuring reliability and actionable insights:

Proprietary Models: Our scores are derived from proprietary quant algorithms based on CDS spreads, OAS, and other issuer and bond data.

Global Data Partnerships: Our collaborations with S&P and other reputable data providers ensure comprehensive and accurate datasets.

Data Cleaning and Structuring: Advanced processes ensure data integrity, transforming raw inputs into actionable insights.

Primary Use Cases

1. Portfolio Construction & Rebalancing Lucror’s C-Score provides a granular view of issuer credit quality, allowing portfolio managers to evaluate risks and identify mispricing opportunities. With CDS-driven insights and daily updates, clients can incorporate near-real-time issuer/bond movements into their credit assessments.

2. Portfolio Optimization The V-Score and V-Score I allow portfolio managers to identify undervalued or overvalued bonds, supporting strategies that optimize returns relative to credit risk. By benchmarking valuations against market and industry standards, users can uncover potential mean-reversion opportunities and enhance portfolio performance.

3. Risk Management With data updated daily, Lucror’s models provide dynamic insights into market risks. Organizations can use this data to monitor shifts in credit quality, assess valuation anomalies, and adjust exposure proactively.

4. Strategic Decision-Making Our comprehensive datasets enable financial institutions to make informed strategic decisions. Whether it’s assessing the fair value of bonds, analyzing industry-specific credit spreads, or understanding broader market trends, Lucror’s data delivers the depth and accuracy required for success.

Why Choose Lucror Analytics for Hedge Funds Data? Lucror Analytics is committed to providing high-quality, actionable data solutions tailored to the evolving needs of the financial sector. Our unique combination of proprietary models, rigorous sourcing of high-quality data, and customizable delivery ensures that users have the insights they need to make smarter dec...

The Mutual Fund Industry in India Has Seen A Shift in Asset Shares Towards Smaller Cities, Driven by Digital Penetration and Smart Cities. This is Reflected in the Increased Retail Contribution Through Systematic Investment Plans. The Investment Fund Industry, Including Unit Trusts and Hedge Funds, Has Seen Strong Performance, Particularly in Equity Funds. There Has Also Been A Significant Increase in the Value of Assets Held in Money Market Funds, Index Funds, Bond Funds, Real Estate Investment Trusts, Commodity Funds, and Sector Funds.

This data sample illustrates how Consumer Edge data can be used by public investors to track quarterly performance, providing quarterly spend for a set of public tickers and private companies.

Inquire about a CE subscription to perform more complex, near real-time quantitative analysis on public tickers and private brands like: • Analyze transaction-level data to uncover hidden trends, identify emerging consumer preferences, and be the first to anticipate shifts in market forces • Leverage the largest panel with the most history and unprecedented accuracy to inform buy/sell/hold decisions for enhanced ability to capture alpha

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Tracking Quarterly Performance

Problem Understand growth drivers and age demographics of off-price retailers to predict quarterly performance.

Solution Leverage CE Data to monitor off-price retailers traffic growth and age demographics. June 2024: Following another quarter of sales growth, off-price retailers TJX and ROST cited increased traffic and marketability across age demographics as drivers of performance. CE data shows that TJX is growing among the youngest and oldest shoppers, whereas ROST experienced a rise in traffic among the middle-aged cohorts.

Off-price retailer TJX Companies, Inc. (TJX) recently reported US Sales Growth of 5.3%, close to CE Implied Reported Growth of 5.0% and below consensus of 5.6%.

Off-price retailer Ross Stores, Inc (ROST) reported net sales of 8.1%, in line with CE Implied Reported Growth of 8.1% and above consensus of 7.4%.

Clients can utilize CE cohort tools to monitor traffic among different age demographics at off-price retailers such as TJX and ROST.

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors from quant and systematic funds to quantamental and fundamental funds include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets

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Mutual Funds Market Size 2025-2029

The mutual funds market size is forecast to increase by USD 85.5 trillion at a CAGR of 9.9% between 2024 and 2029.

The market, particularly in developing nations, is experiencing significant growth driven by increasing financial literacy, expanding middle class populations, and favorable regulatory environments. This trend is expected to continue as more individuals seek diversified investment opportunities to secure their financial future. However, this market growth comes with its challenges, primarily transaction risks. These risks, including market volatility, liquidity issues, and fraud, can significantly impact investors' confidence and asset values. To capitalize on this market opportunity, companies must prioritize risk management strategies, such as diversification, transparency, and regulatory compliance. Additionally, leveraging technology to streamline transactions, enhance security, and provide real-time information can help build trust and attract investors. Companies that effectively navigate these challenges and provide value-added services will be well-positioned to succeed in the evolving the market landscape.

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

Request Free SampleThe mutual fund industry continues to be a significant player in the global investment landscape, with digital penetration driving growth and accessibility. Systematic investment plans, including mutual funds, have gained popularity among small investors seeking diversified investment opportunities. The mutual fund market encompasses various categories, such as equity funds, money market funds, bond funds, index funds, and hedge funds. Equity strategies dominate the fund portfolio of many investors, reflecting the appeal of stocks for potential capital appreciation. Insurance companies also play a crucial role in the industry, offering investment products to both retail and institutional clients. The investment fund industry has witnessed a in investment, particularly among small fund savers, drawn to the convenience of portfolio management services. Short-term debt funds cater to those seeking lower risk and liquidity. Overall, the mutual fund market is poised for continued expansion, driven by the increasing demand for efficient investment solutions.

How is this Mutual Funds Industry segmented?

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. TypeStock fundsBond fundsMoney market fundsHybrid fundsDistribution ChannelAdvice channelRetirement plan channelInstitutional channelDirect channelSupermarket channelGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalySpainUKAPACAustraliaChinaIndiaSouth AmericaMiddle East and Africa

By Type Insights

The stock funds segment is estimated to witness significant growth during the forecast period.Mutual funds are investment vehicles that pool together funds from various investors to purchase a diversified portfolio of securities, primarily stocks. These funds come in various categories, including equity, income, index, sector, bond, money market, commodity, and fund of funds. Equity funds invest in corporate stocks, with growth funds focusing on high-growth stocks and income funds prioritizing dividend-paying stocks. Index funds mirror a specific market index, while sector funds invest in a particular industry sector. Stock mutual funds can also be categorized based on the size of the companies in which they invest, such as large-cap, mid-cap, and small-cap funds. Institutional and retail investors, including individual investors, financial advisors, and robo-advisors, utilize mutual funds for retirement planning, risk management, and diversification strategies. The mutual fund industry has seen significant growth, driven by digital penetration, systematic investment plans, and the increasing popularity of exchange-traded funds (ETFs) and index funds. The asset base under management (AUM) of the investment fund industry is expected to expand due to the increasing number of demat CDSL and NSDL accounts, SIP accounts, and small town investors. Debt-oriented schemes and sustainable strategy segments, such as ESG Integration Funds, Negative Screening Funds, and Impact Funds, are also gaining popularity. The mutual fund industry is subject to regulatory compliance and tax efficiency, offering investors capital appreciation, liquidity benefits, and professional management. The capital market environment is influenced by factors such as market volatility, equity exposure, fixed income, and long-term returns. Mutual fund providers offer portfolio management services, fair pricing, and various investment plans to cater to different risk tolerances and inve

In 2023, integrated risk management was the leading systematic assessment method used by investment funds worldwide, with 61 percent of funds adopting this approach. It was followed by climate scenario analysis, with nearly half of the funds implementing it. Other methods included sectoral analysis, stress testing, and portfolio testing.

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