The hedge fund industry boomed in the 1990s, and the value of assets managed by hedge funds worldwide grew steadily until 2007. The value fell markedly the following year because of the financial crisis and did not recover until 2013. In 2023, the value of assets under management (AUM) of hedge funds reached over five trillion U.S. dollars. Which firms dominate the hedge fund industry? The biggest hedge funds in the market typically attain their size by combining exceptional results, a solid track record, and efficient risk management tactics. In 2023, Field Street Capital Management was the biggest hedge fund company, with nearly 298 billion U.S. dollars of assets under management. Some other prominent global hedge funds by AUM include Citadel, Bridgewater Associates, Mariner Investment Group LLC, etc. These industry giants often boast a diverse range of investment strategies and maintain a global presence, which allows them to capitalize on opportunities across diverse sectors and assets. Hedge Funds: What's changing? Hedge funds constantly tweak their investment strategies to keep up with market shifts. The cryptocurrency market introduces a novel asset class that is distinct from traditional financial markets. Therefore, the primary reason behind hedge funds investing in digital assets was to diversify their portfolios. The escalating interest in cryptocurrencies and blockchain technology prompted hedge funds to explore new prospects and risks associated with digital assets. In 2021, the average assets under management of crypto hedge funds more than doubled from the previous year, rising from 24 to 59 million U.S. dollars.

In 2020, alternative data was mainly used as a research tool to help better improve investment decisions among 69 percent of hedge fund managers, who were classified as alternative data market leaders, and 85 percent of the rest of the respondents using it for this particular purpose. Only 23 percent of the alternative data market leaders and 36 percent of the rest of the market used alternative data to help improve risk management and compliance models.

This table shows the aggregate assets and liabilities of hedge funds that file Form PF with the Securities and Exchange Commission. Unlike table B.101.f in the regular Financial Accounts publication, which reports assets and liabilities of domestic hedge funds only, this table presents data on all hedge funds that file Form PF, both domestic and foreign.

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 hedge fund compliance and risk management guide is a book. It was written by Armelle Guizot and published by John Wiley in 2007.

The global hedge fund software market is expected to witness significant growth in the coming years, driven by the increasing adoption of advanced technologies and the need for efficient portfolio management. The market size, valued at USD XXX million in 2025, is projected to expand at a CAGR of XX% during the forecast period of 2025-2033, reaching a valuation of USD XXX million by 2033. This growth is attributed to the rising complexity of investment strategies, the increasing number of hedge funds, and the growing demand for real-time data and analytics. The market is segmented based on application (large enterprises, small and medium-sized enterprises (SMEs)), and deployment type (cloud-based, on-premise). Cloud-based solutions are gaining popularity due to their scalability, cost-effectiveness, and ease of deployment. Key market players include Eze Software, FundCount, Northstar Risk, VestServe, and FXCM. The market is highly competitive, with vendors offering a wide range of solutions to meet the diverse needs of hedge funds. The North American region is expected to dominate the market, followed by Europe and Asia Pacific. Rising demand for advanced risk management and performance monitoring capabilities, coupled with government regulations, is expected to drive growth in these regions. This comprehensive report provides an in-depth analysis of the global hedge fund software market, offering valuable insights into its concentration, characteristics, trends, and key drivers and challenges.

The hedge fund software market has emerged as a vital segment in the financial industry, catering specifically to the unique needs of hedge fund managers and investors. This software encompasses various solutions designed to streamline operations, enhance data management, and improve decision-making processes. With

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Alternative Data Market Size 2025-2029

The alternative data market size is forecast to increase by USD 60.32 billion at a CAGR of 52.5% between 2024 and 2029.

The market is experiencing significant growth due to the increased availability and diversity of data sources. This trend is driven by the rise of alternative data-driven investment strategies, which offer unique insights and opportunities for businesses and investors. However, challenges persist in the form of issues related to data quality and standardization. big data analytics and machine learning help businesses gain insights from vast amounts of data, enabling data-driven innovation and competitive advantage. Data governance, data security, and data ethics are crucial aspects of managing alternative data.
As more data becomes available, ensuring its accuracy and consistency is crucial for effective decision-making. The market analysis report provides an in-depth examination of these factors and their impact on the growth of the market. With the increasing importance of data-driven strategies, staying informed about the latest trends and challenges is essential for businesses looking to remain competitive in today's data-driven economy.

What will be the Size of the Alternative Data Market During the Forecast Period?

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Alternative data, the non-traditional information sourced from various industries and domains, is revolutionizing business landscapes by offering new opportunities for data monetization. This trend is driven by the increasing availability of data from various sources such as credit card transactions, IoT devices, satellite data, social media, and more. Data privacy is a critical consideration in the market. With the increasing focus on data protection regulations, businesses must ensure they comply with stringent data privacy standards. Data storytelling and data-driven financial analysis are essential applications of alternative data, providing valuable insights for businesses to make informed decisions. Data-driven product development and sales prediction are other significant areas where alternative data plays a pivotal role.
Moreover, data management platforms and analytics tools facilitate data integration, data quality, and data visualization, ensuring data accuracy and consistency. Predictive analytics and data-driven risk management help businesses anticipate trends and mitigate risks. Data enrichment and data-as-a-service are emerging business models that enable businesses to access and utilize alternative data. Economic indicators and data-driven operations are other areas where alternative data is transforming business processes.

How is the Alternative Data Market Segmented?

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

Type

  Credit and debit card transactions
  Social media
  Mobile application usage
  Web scrapped data
  Others


End-user

  BFSI
  IT and telecommunication
  Retail
  Others


Geography

  North America

    Canada
    Mexico
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America



  Middle East and Africa

By Type Insights

The credit and debit card transactions segment is estimated to witness significant growth during the forecast period.

Alternative data derived from card and debit card transactions offers valuable insights into consumer spending behaviors and lifestyle choices. This data is essential for market analysts, financial institutions, and businesses seeking to enhance their strategies and customer experiences. The two primary categories of card transactions are credit and debit. Credit card transactions provide information on discretionary spending, luxury purchases, and credit management skills. In contrast, debit card transactions reveal essential spending habits, budgeting strategies, and daily expenses. By analyzing this data using advanced methods, businesses can gain a competitive advantage, understand market trends, and cater to consumer needs effectively. IT & telecommunications companies, hedge funds, and other organizations rely on web scraped data, social and sentiment analysis, and public data to supplement their internal data sources. Adhering to GDPR regulations ensures ethical data usage and compliance.

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The credit and debit card transactions segment was valued at USD 228.40 million in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 56% to the growth of the global market during the forecast period.

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Success.ai’s Private Equity (PE) Funding Data provides reliable, verified access to the contact details of investment professionals, fund managers, analysts, and executives operating in the global private equity landscape. Drawn from over 170 million verified professional profiles, this dataset includes work emails, direct phone numbers, and LinkedIn profiles for key decision-makers in PE firms. Whether you’re seeking new investment opportunities, looking to pitch your services, or building strategic relationships, Success.ai delivers continuously updated and AI-validated data to ensure your outreach is both precise and effective.

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Key Features of the Dataset:

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   • Identify and connect with fund managers, dealmakers, and senior executives overseeing capital allocation, portfolio management, and exit strategies.
   • Engage with professionals who influence investment theses, valuation approaches, and cross-border deals.

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   • Refine outreach by region, deal size, industry preference, fund type, or specific job functions within the PE firm.
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   • Profiles are enriched with actionable data, equipping you with insights to personalize messaging, highlight unique value propositions, and enhance engagement outcomes.

Strategic Use Cases:

1. Deal Origination and Pipeline Building

   • Reach out to PE fund managers and analysts to present investment opportunities, co-investment deals, or M&A prospects.
   • Identify partners receptive to new growth capital deployments, early-stage investments, or strategic acquisitions.

2. Advisory and Professional Services

   • Offer due diligence, valuation, legal, or consulting services directly to decision-makers at private equity firms.
   • Position your expertise to streamline deal execution, portfolio optimization, or exit planning.

3. Fundraising and Investor Relations

   • Connect with IR professionals, placement agents, and fund administrators to discuss fundraising targets, investor outreach strategies, or institutional capital requirements.
   • Engage with professionals managing limited partner relationships, capital calls, and reporting obligations.

4. Market Research and Competitive Intelligence

   • Utilize PE data for comprehensive market analysis, competitor benchmarking, and trend identification.
   • Understand investment patterns, portfolio performance, and sector preferences to refine your business strategies.

Why Choose Success.ai?

1. Best Price Guarantee

   • Secure premium-quality verified data at competitive prices, maximizing the ROI of your outreach and lead-generation efforts.

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3. Data Accuracy with AI Validation

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4. Customizable and Scalable Solutions

   • Adapt datasets to focus on particular geographies, deal sizes, or industry sectors, adjusting as your business needs evolve.

...

Replication data for study of the relationship between hedge fund investments on lobbying spending. Time series data for the United States from 1998-2015. Variables include total money spent on lobbying (in billions), assets under management in hedge funds (in billions), U.S. gross domestic product (in trillions), and U.S. federal budget (in trillions). The data include both the levels of these variables, and their differenced values.

Assets under management include professionally managed assets, which means that managers charge fees for their financial services. In 2021, the value of AUM worldwide amounted to 112.3 trillion U.S. dollars, where North America accounted for almost half of the value.

What is the function of investment managers?

People hire investment managers to manage their wealth, and private wealth management firms strategically invest the assets of their clients, often using financial instruments not available for individual investors, such as hedge funds.

Investment risks

All investments carry risk, regardless of who manages them. Some asset classes, such as money market instruments or bonds, are deemed to be one the safest investments. They are advisable for the investors who seek stable, but not above average long-term gains. The possible high returns from equities, forex market or alternative investments are tempting, but possible losses are much higher than in case of safer instruments.

Thailand Foreign Investment Fund: Total Net Asset: AIA Asset Management data was reported at 22.086 THB bn in Feb 2025. This records an increase from the previous number of 21.925 THB bn for Jan 2025. Thailand Foreign Investment Fund: Total Net Asset: AIA Asset Management data is updated monthly, averaging 8.511 THB bn from Dec 2020 (Median) to Feb 2025, with 40 observations. The data reached an all-time high of 22.086 THB bn in Feb 2025 and a record low of 0.283 THB bn in Dec 2020. Thailand Foreign Investment Fund: Total Net Asset: AIA Asset Management data remains active status in CEIC and is reported by Association of Investment Management Companies. The data is categorized under Global Database’s Thailand – Table TH.Z031: Association of Investment Management Companies: Mutual Funds: Foreign Investment Fund.

Middle Office Outsourcing Market size was valued at USD 8087.59 Million in 2023 and is projected to reach USD 14844.38 Million by 2031, growing at a CAGR of 8.70% from 2024 to 2031.

Key Market Drivers:
Cost Efficiency and Scalability: One of the key reasons for middle office outsourcing is the possibility of cost savings. Outsourcing middle office operations such as risk management, compliance, and trade processing allows businesses to drastically cut operational expenses associated with keeping in-house staff. Outsourcing providers frequently have specialized knowledge and economies of scale allowing them to provide certain services more efficiently.
Access to Advanced Technology and Expertise: Another important factor is having access to cutting-edge technology and specialized knowledge. Middle office operations necessitate complex tools and systems for data management, analytics, and compliance monitoring. Outsourcing providers invest extensively in these technologies allowing their clients to access cutting-edge solutions that would be prohibitively expensive to develop in-house.
Regulatory Compliance and Risk Management: The growing complexity of regulatory regulations is another major driver of middle office outsourcing. Financial organizations face severe rules that necessitate strong compliance and risk management systems. Companies that outsource these services can reduce the risk of non-compliance and the resulting penalties. Outsourcing firms specialize in keeping up with changing rules and have the means to keep their clients compliant.

Thailand Net Assets: CSG: Index Fund data was reported at 5.664 THB bn in Mar 2019. This records an increase from the previous number of 5.657 THB bn for Feb 2019. Thailand Net Assets: CSG: Index Fund data is updated monthly, averaging 9.681 THB bn from Sep 2008 (Median) to Mar 2019, with 127 observations. The data reached an all-time high of 105.733 THB bn in Nov 2011 and a record low of 0.992 THB bn in Feb 2018. Thailand Net Assets: CSG: Index Fund data remains active status in CEIC and is reported by Association of Investment Management Companies. The data is categorized under Global Database’s Thailand – Table TH.Z029: Association of Investment Management Companies: Mutual Funds: By Special Fund Groups.

Thailand Number of Funds: CSG: Capital Protected Fund data was reported at 0.000 Unit in Mar 2019. This stayed constant from the previous number of 0.000 Unit for Feb 2019. Thailand Number of Funds: CSG: Capital Protected Fund data is updated monthly, averaging 0.000 Unit from Sep 2008 (Median) to Mar 2019, with 127 observations. The data reached an all-time high of 0.000 Unit in Mar 2019 and a record low of 0.000 Unit in Mar 2019. Thailand Number of Funds: CSG: Capital Protected Fund data remains active status in CEIC and is reported by Association of Investment Management Companies. The data is categorized under Global Database’s Thailand – Table TH.Z029: Association of Investment Management Companies: Mutual Funds: By Special Fund Groups.

Investment Management Software Analysis Market size was valued at USD 1.09 Billion in 2024 and is projected to reach USD 1.63 Billion by 2031, growing at a CAGR of 5.09% from 2024 to 2031.

Global Investment Management Software Analysis Market Drivers

Increasing Complexity of Investment Portfolios: To properly evaluate, monitor, and optimize investment portfolios, which increasingly comprise a variety of asset classes and international investments, advanced investment management software is required.
Growth in Digital Transition Initiatives: Investment management companies progressively implement technological solutions to optimize operations, improve decision-making, and boost overall efficiency as the financial sector experiences a digital transition.
Demand for Real-Time Data and Analytics: Asset managers and investors need real-time access to market data and analytics. There is a great demand for investment management software that offers precise and timely insights into portfolio performance and market trends.
Increasing Assets Under Management (AUM): The market for investment management software is being pushed by the general increase in assets under management, which is being driven by higher investments from institutional and individual investors.
Transition to Cloud-Based Software: This change provides scalability, flexibility, and accessibility in terms of software solutions. Cloud-based systems are being adopted by investment management organizations to improve system agility, data storage, and communication.
Growing Use of Robotic Advisory Services: The need for investment management software that facilitates automated portfolio management and client interactions is fueled by the growth of robo-advisory services propelled by automation and algorithm-based investing methods.
Focus on Client Relationship Management (CRM): As businesses focus on client relationship management to deliver individualized services and sustain solid client connections, investment management software with comprehensive CRM features is in high demand.

Forecast: Gross Investment in Fund Management Activities Sector in Brazil 2024 - 2028 Discover more data with ReportLinker!

The Trade Management Software Marketsize was valued at USD 1.11 USD Million in 2023 and is projected to reach USD 1.89 USD Million by 2032, exhibiting a CAGR of 7.9 % during the forecast period. Trade Management Software is an application that can be used for improving particular tasks for trading within the most necessary financial markets. It is available in different categories, Some among them are, Order Management System (OMS), Execution Management System (EMS) and Portfolio Management System (PMS). EMS is associated with real-time trading strategies and order execution while OMS covers the placement of orders and tracking of orders. Risk management of portfolios as well as their performance is another area handled by PMS. Some of the common features include, order management capabilities, real-time market data feed, risk management, and reporting. Uses of this software are found in asset management, hedge funds, and more so trading firms, to make trades and also manage their portfolio and meet legal standards. It plays an important role in improving the flow and the decisions of trades within the financial markets. Key drivers for this market are: Rising Demand for Automated Trade Management Systems to Boost Market Growth. Potential restraints include: Organizations Resilient to Change Legacy Systems or Adopt New Technologies. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.