As of June 17, 2024, the most shorted stock was for, the American holographic technology services provider, MicroCloud Hologram Inc., with 66.64 percent of their total float having been shorted. This is a change from mid-January 2021, when video game retailed GameStop had an incredible 121.07 percent of their available shares in a short position. In effect this means that investors had 'borrowed' more shares (with a future promise to return them) than the total number of shares available for public trading. Owing to this behavior of professional investors, retail investors enacted a campaign to drive up the stock price of Gamestop, leading to losses of billions when investors had to repurchase the stock they had borrowed. At this time, a similar – but less effective – social media campaign was also carried out for the stock price of cinema operator AMC, and the price of silver. What is short selling? Short selling is essentially where an investor bets on a share price falling by: borrowing a number of shares selling these shares while the price is still high; purchasing the same number again once the price falls; then returning the borrowed shares at a profit. Of course, a profit will only be made if the share price does fall; should the share price rise the investor will then need to purchase the shares back at a higher price, and thus incur a loss. Short selling can lead to some very large profits in a short amount of time, with Tesla stock generating over one billion dollars in short sell profits during the first week of March 2020 alone, owing to the financial crash caused by the coronavirus (COVID-19) pandemic. However, owing to the short-term, opportunistic nature of short selling, these returns look less impressive when considered as net profits from short sell positions over the full year. The risks of short selling Short selling carries greater risks than traditional investments, and for this reason financial advisors often recommend against this strategy for ‘retail’ (i.e. non-professional) investors. The reason for this is that losses from short selling are potentially uncapped, whereas losses from traditional investments are limited to the initial cost. For example, if someone purchases 100 dollars of shares, the maximum they can lose is the 100 dollars the spent on those shares. However, say someone borrows 100 dollars of shares instead, betting on the price falling. If these shares are then sold for 100 dollars but the price subsequently rises, the losses could greatly exceed the initial investment should the price rise to, say, 500 dollars. The risks of short selling can be seen by looking again at Tesla, with the company causing the greatest losses over 2020 from short selling at over 40 billion U.S. dollars.

Over the course of 2020, U.S. short sellers generated a net profits of around 1.28 billion U.S. dollars from short selling Exxon Mobil stock. While a very large number, this pales in comparison to the net annual losses of from short selling of over 40 billion U.S. dollars for Tesla stock. Short selling is a process whereby investors effectively borrow a certain number of shares for a period of time, with the aim of selling them when the price is high, then repurchasing at a lower price in order to return them.

Over the course of 2020, U.S. short sellers lost over 40 billion U.S. dollars to shorts of Tesla - a value significantly higher than other companies. While short selling can generate some very large profits in a small amount of time, the practice can also lead to some very large losses should stock prices rise, confounding investors' expectations. Short selling is a process whereby investors effectively borrow a certain number of shares for a period of time, with the aim of selling them when the price is high, then repurchasing at a lower price in order to return them.

In just *** week in March 2020, investors with a short position on Tesla stock were able to generate profits of over *** billion U.S. dollars. From around mid-February 2020, the global coronavirus (COVID-19) pandemic sent global stock markets into a tailspin as entire countries closed down their economy in order to slow the spread of the virus. While the effect on financial markets was catastrophic for many most investors, once class of investor was able to profit handsomely off the disaster - short sellers. Short selling is a process whereby investors effectively borrow a certain number of shares for a period of time, with the aim of selling them when the price is high, then repurchasing at a lower price in order to return them.

Cash-and-Short-Term-Investments Time Series for Weyerhaeuser Company. Weyerhaeuser Company, one of the world's largest private owners of timberlands, began operations in 1900 and today owns or controls approximately 10.4 million acres of timberlands in the U.S., as well as additional public timberlands managed under long-term licenses in Canada. Weyerhaeuser has been a global leader in sustainability for more than a century and manages 100 percent of its timberlands on a fully sustainable basis in compliance with internationally recognized sustainable forestry standards. Weyerhaeuser is also one of the largest manufacturers of wood products in North America and operates additional business lines around product distribution, climate solutions, real estate, and energy and natural resources, among others. In 2024, the company generated $7.1 billion in net sales and employed approximately 9,400 people who serve customers worldwide. Operated as a real estate investment trust, Weyerhaeuser's common stock trades on the New York Stock Exchange under the symbol WY.

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Hedge Fund Market in US Size 2025-2029

The US hedge fund market size is forecast to increase by USD 738 billion at a CAGR of 8.1% between 2024 and 2029.

US Hedge Fund Market is experiencing significant growth due to increasing investor interest in alternative investment options. This trend is driven by the desire for higher returns and risk diversification, leading to a surge in assets under management. Furthermore, technological advancements are transforming the hedge fund industry, enabling companies to offer innovative solutions and improve operational efficiency. However, the market is not without challenges. Regulatory constraints continue to pose significant obstacles, with stringent regulations governing fund operations, investor protection, and transparency.
Compliance with these regulations requires substantial resources and expertise, presenting a significant challenge for hedge fund managers. Companies seeking to capitalize on market opportunities and navigate these challenges effectively must stay informed of regulatory developments and invest in robust compliance frameworks. Additionally, leveraging technology to streamline operations and enhance transparency can help hedge funds remain competitive and meet investor demands.

What will be the Size of the Hedge Fund Market in US during the forecast period?

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US hedge funds market activities and evolving patterns continue to unfold, shaping the industry's landscape. Hedge funds employ various strategies, such as quantitative methods, algorithmic trading, and relative value strategies, to manage risk and generate alpha. Investor relations play a crucial role in attracting and retaining capital from high-net-worth individuals, family offices, pension funds, and institutional investors. Fund of funds and multi-strategy funds offer diversification, while big data analytics and alternative data inform investment decisions. Machine learning and artificial intelligence enhance risk management and performance measurement. Regulatory compliance and transparency are essential components of hedge fund operations, ensuring liquidity and mitigating drawdowns.
Market dynamics are influenced by various factors, including hedge fund leverage, volatility, and capacity. Hedge fund managers must navigate these complexities to deliver competitive returns, employing due diligence and effective fee structures. Hedge fund distribution channels, such as conferences and sales efforts, facilitate access to new investors. The hedge fund market is a continually evolving ecosystem, where technology, regulatory requirements, and investor expectations shape the industry's future. Hedge fund liquidation and exit strategies, performance fees, and risk appetite are critical considerations for hedge fund managers and investors alike. Ultimately, the hedge fund industry's success hinges on its ability to adapt and innovate in a rapidly changing financial landscape.

How is this Hedge Fund in US Industry segmented?

The hedge fund in US industry 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

  Offshore
  Domestic
  Fund of funds


Method

  Long and short equity
  Event driven
  Global macro
  Others


End-user

  Institutional
  Individual


Fund Structure

  Small (
  Medium (USD500M-USD2B)
  Large (>USD2B)


Investor Type

  Institutional
  High-Net-Worth Individuals


Geography

  North America

    US

By Type Insights

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

The offshore segment of the hedge fund market in the US houses funds that are managed or marketed by American firms but are domiciled and operated in offshore jurisdictions. These funds, located in financial centers known for their favorable regulatory environments, tax treatment, and legal infrastructure, offer investors tax efficiency through lower or zero taxation on investment income, capital gains, and distributions. The reduced regulatory burden in offshore jurisdictions enables greater flexibility in fund operations, investment strategies, and disclosure obligations, making offshore hedge funds an appealing choice for tax-conscious investors. Portfolio construction, risk management, and hedge fund allocation strategies are crucial elements for these funds, with relative value and long-short equity strategies commonly employed.

Performance fees and management fees are the primary revenue sources for hedge fund managers, while family offices and institutional investors provide significant hedge fund capital. Regulatory compliance and due diligence are essential for investors, ensuring transparency and performance measurement. Hedge fund research, risk appetite, and investor relat

Russia Financial Investment: Accumulated: Short Term: Stocks and Shares data was reported at 1,540.500 RUB bn in Dec 2018. This records an increase from the previous number of 1,073.900 RUB bn for Sep 2018. Russia Financial Investment: Accumulated: Short Term: Stocks and Shares data is updated quarterly, averaging 46.400 RUB bn from Mar 2000 (Median) to Dec 2018, with 76 observations. The data reached an all-time high of 25,346.000 RUB bn in Jun 2016 and a record low of 4.800 RUB bn in Mar 2001. Russia Financial Investment: Accumulated: Short Term: Stocks and Shares data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OA003: Financial Investment: Accumulated.

Short-Term-Investments Time Series for Top Energy Shanxi Co Ltd. Top Energy Company Ltd.Shanxi engages in the thermal power generation, power transmission, and distribution business in China. The company operates through Thermal Power Generation, Power Grid Distribution, and Other segments. Top Energy Company Ltd.Shanxi was founded in 1992 and is based in Taiyuan, China.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Short/Long Term Stocks: EQT Stock Forecast

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Panama IIP: Assets: OI: OA: OS: Short-Term: Direct Investment Companies data was reported at 100.500 USD mn in Mar 2018. This records an increase from the previous number of 98.100 USD mn for Dec 2017. Panama IIP: Assets: OI: OA: OS: Short-Term: Direct Investment Companies data is updated quarterly, averaging 86.100 USD mn from Mar 2015 (Median) to Mar 2018, with 13 observations. The data reached an all-time high of 100.500 USD mn in Mar 2018 and a record low of 77.500 USD mn in Sep 2015. Panama IIP: Assets: OI: OA: OS: Short-Term: Direct Investment Companies data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.JB006: International Investment Position: BPM6.

Hong Kong Turnover Value: Equities: by HSICS: NASDAQ stocks data was reported at 0.120 HKD mn in Jun 2018. This records an increase from the previous number of 0.000 HKD mn for May 2018. Hong Kong Turnover Value: Equities: by HSICS: NASDAQ stocks data is updated monthly, averaging 0.080 HKD mn from Dec 2004 (Median) to Jun 2018, with 163 observations. The data reached an all-time high of 4.000 HKD mn in Sep 2006 and a record low of 0.000 HKD mn in May 2018. Hong Kong Turnover Value: Equities: by HSICS: NASDAQ stocks data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z007: Main Board: Turnover and Short Selling.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Short/Long Term Stocks: BKNG Stock Forecast

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Short-Term-Debt Time Series for Wells Fargo & Company. Wells Fargo & Company, a financial services company, provides diversified banking, investment, mortgage, and consumer and commercial finance products and services in the United States and internationally. It operates through four segments: Consumer Banking and Lending; Commercial Banking; Corporate and Investment Banking; and Wealth and Investment Management. The Consumer Banking and Lending segment offers diversified financial products and services for consumers and small businesses. Its financial products and services include checking and savings accounts, and credit and debit cards, as well as home, auto, personal, and small business lending services. The Commercial Banking segment provides financial solutions to private, family owned, and certain public companies. Its products and services include banking and credit products across various industry sectors and municipalities, secured lending and lease products, and treasury management services. The Corporate and Investment Banking segment offers a suite of capital markets, banking, and financial products and services, such as corporate banking, investment banking, treasury management, commercial real estate lending and servicing, equity, and fixed income solutions, as well as sales, trading, and research capabilities services to corporate, commercial real estate, government, and institutional clients. The Wealth and Investment Management segment provides personalized wealth management, brokerage, financial planning, lending, private banking, and trust and fiduciary products and services to affluent, high-net worth, and ultra-high-net worth clients. It also operates through financial advisors in brokerage and wealth offices, consumer bank branches, independent offices, and digitally through WellsTrade and Intuitive Investor. Wells Fargo & Company was founded in 1852 and is headquartered in San Francisco, California.

Short-Term-Investments Time Series for KeyCorp. KeyCorp operates as the holding company for KeyBank National Association that provides various retail and commercial banking products and services in the United States. It operates in two segments, Consumer Bank and Commercial Bank. The company offers various deposits and investment products; commercial leasing, investment management, consumer finance; personal finance and financial wellness, lending, student loan refinancing, mortgage and home equity, credit card, treasury, and business advisory; and wealth management and investment services for institutional, non-profit, and high-net-worth clients. It also provides lending, cash management, equipment financing, and commercial mortgage loans; and capital market products and services, such as syndicated finance, debt and equity underwriting, fixed income and equity sales and trading, derivatives, foreign exchange, mergers and acquisition, other advisory, and public finance to large corporate and institutional clients. In addition, the company offers personal and institutional trust custody services, personal financial and planning services, access to mutual funds, treasury services, and international banking services. Further, it provides community development financing, securities underwriting, brokerage, and investment banking services, as well as merchant services. The company was founded in 1849 and is headquartered in Cleveland, Ohio.

China CJ: Short Term Investments data was reported at 29,853.062 RMB th in Jun 2009. This records a decrease from the previous number of 54,246.309 RMB th for Mar 2009. China CJ: Short Term Investments data is updated quarterly, averaging 37,981.580 RMB th from Mar 2008 (Median) to Jun 2009, with 6 observations. The data reached an all-time high of 54,246.309 RMB th in Mar 2009 and a record low of 29,853.062 RMB th in Jun 2009. China CJ: Short Term Investments data remains active status in CEIC and is reported by Chang Jiang Shipping Group Phoenix Company Limited. The data is categorized under World Trend Plus’s Top Company: Shipping: China – Table RP.CT001: Chang Jiang Shipping Group Phoenix Company Limited (CJ): Financial Highlights.

Short-Form Content Studios Market Outlook

According to our latest research, the Global Short-Form Content Studios market size was valued at $8.4 billion in 2024 and is projected to reach $32.1 billion by 2033, expanding at a robust CAGR of 16.2% during the forecast period from 2025 to 2033. The explosive growth of mobile-first video consumption, coupled with the surging popularity of platforms like TikTok, Instagram Reels, and YouTube Shorts, is a major catalyst propelling the global short-form content studios market. As consumer attention spans continue to shrink and demand for snackable, engaging content intensifies, studios specializing in creating high-impact, short-duration videos are experiencing unprecedented demand from brands, media companies, and independent creators worldwide.

Regional Outlook

North America currently holds the largest share in the global short-form content studios market, accounting for approximately 38% of the total market value in 2024. This dominance is attributed to the region's mature digital ecosystem, widespread adoption of high-speed internet, and the presence of leading social media and OTT platforms. The United States, in particular, is a hub for creative talent, advanced production technologies, and innovative content monetization models, which collectively foster a thriving environment for short-form content studios. Additionally, proactive regulatory frameworks and robust intellectual property protections further incentivize investment and innovation in this sector. As a result, North American studios are often at the forefront of global trends, setting benchmarks in both content quality and distribution strategies.

Asia Pacific is emerging as the fastest-growing region in the short-form content studios market, projected to expand at a remarkable CAGR of 20.7% from 2025 to 2033. This surge is primarily fueled by the rapid proliferation of affordable smartphones, increasing internet penetration, and a youthful population with a strong appetite for digital content. Markets such as China, India, and Southeast Asia are witnessing a dramatic rise in user-generated and branded short-form videos, driven by local social platforms and innovative content formats. Investments from global tech giants and local startups are accelerating the development of production capabilities and distribution networks. Moreover, government initiatives to foster digital literacy and support creative industries are further amplifying growth prospects across the region.

In contrast, emerging economies in Latin America, the Middle East, and Africa are experiencing a more gradual adoption of short-form content studios. While there is significant potential due to a large, untapped youth demographic and growing mobile connectivity, challenges such as limited production infrastructure, inconsistent regulatory environments, and lower digital advertising spends hinder rapid growth. Nonetheless, localized content creation tailored to regional languages and cultural nuances is gradually gaining traction, supported by strategic partnerships with global platforms and targeted policy interventions. As these markets continue to address infrastructural and regulatory gaps, they are poised to become important contributors to the global short-form content studios market in the coming years.

Report Scope

Ghana GH: External Debt: DOD: Stocks: Short-Term data was reported at 2.795 USD bn in 2016. This records a decrease from the previous number of 3.302 USD bn for 2015. Ghana GH: External Debt: DOD: Stocks: Short-Term data is updated yearly, averaging 458.726 USD mn from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 3.651 USD bn in 2013 and a record low of 3.073 USD mn in 1976. Ghana GH: External Debt: DOD: Stocks: Short-Term data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ghana – Table GH.World Bank: External Debt: Debt Outstanding, Debt Ratio and Debt Service. Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars.; ; World Bank, International Debt Statistics.; Sum;

Short-Term-Investments Time Series for Mitsui High-tec Inc. Mitsui High-tec, Inc. produces and sells lead frames, precision tools, motor cores, and surface grinders for the electronics, automobile, and industrial machinery industries in Japan, China, and internationally. It operates through three segments: Molds and Machine Tools, Electronic Components, and Electrical Components. The company offers precision tooling/precision parts for motor, leadframes, and other types of tooling products. The company also offers surface grinders; and overhaul and after-sales services. The company was formerly known as Mitsui Mfg. Co., Ltd. and changed its name to Mitsui High-tec, Inc. in May 1984. Mitsui High-tec, Inc. was incorporated in 1934 and is headquartered in Kitakyushu, Japan.

Samoa WS: External Debt: DOD: Stocks: Short-Term data was reported at 0.000 USD mn in 2016. This stayed constant from the previous number of 0.000 USD mn for 2015. Samoa WS: External Debt: DOD: Stocks: Short-Term data is updated yearly, averaging 0.000 USD mn from Dec 1970 (Median) to 2016, with 47 observations. The data reached an all-time high of 1.109 USD mn in 1983 and a record low of 0.000 USD mn in 2016. Samoa WS: External Debt: DOD: Stocks: Short-Term data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Samoa – Table WS.World Bank: External Debt: Debt Outstanding, Debt Ratio and Debt Service. Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars.; ; World Bank, International Debt Statistics.; Sum;

We develop a lottery factor from five commonly utilized lottery measures and find this factor substantially enhances the well-known factor models concerning market anomalies, particularly those related to skewness and value. Our findings emphasize that stocks exhibiting high lottery characteristics display considerable anomaly returns, primarily due to the short position of these stocks rather than their financial distress. Moreover, our research consistently indicates that lottery stocks frequently correlate with low short volume and higher shorting fees. This implies that the preference of retail investors to hold onto lottery stocks results in a reduced supply of these shares available for lending.