Continue to site >
Trending ETFs

Name

As of 03/27/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

AQR Global Equity Fund

AQGIX | Fund

$10.83

$353 M

2.61%

$0.28

0.84%

Vitals

YTD Return

13.4%

1 yr return

35.8%

3 Yr Avg Return

9.3%

5 Yr Avg Return

11.0%

Net Assets

$353 M

Holdings in Top 10

25.5%

52 WEEK LOW AND HIGH

$10.8
N/A
N/A

Expenses

OPERATING FEES

Expense Ratio 0.84%

SALES FEES

Front Load N/A

Deferred Load N/A

TRADING FEES

Turnover N/A

Redemption Fee N/A


Min Investment

Standard (Taxable)

$5,000,000

IRA

N/A


Fund Classification

Fund Type

Open End Mutual Fund


Name

As of 03/27/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

AQR Global Equity Fund

AQGIX | Fund

$10.83

$353 M

2.61%

$0.28

0.84%

AQGIX - Profile

Distributions

  • YTD Total Return 13.4%
  • 3 Yr Annualized Total Return 9.3%
  • 5 Yr Annualized Total Return 11.0%
  • Capital Gain Distribution Frequency Annually
  • Net Income Ratio 1.28%
DIVIDENDS
  • Dividend Yield 2.6%
  • Dividend Distribution Frequency Annual

Fund Details

  • Legal Name
    AQR Global Equity Fund
  • Fund Family Name
    AQR Funds
  • Inception Date
    Dec 31, 2009
  • Shares Outstanding
    N/A
  • Share Class
    I
  • Currency
    USD
  • Domiciled Country
    US
  • Manager
    John Liew

Fund Description

The Fund seeks to outperform, after expenses, the MSCI World Index (the Global Equity Benchmark) while seeking to control its tracking error relative to this benchmark. While the Adviser expects that the Fund’s targeted annualized forecasted tracking error will typically range between 3-5% relative to the Global Equity Benchmark; the Adviser may, on occasion, tactically target a level of tracking error outside of this range. The actual or realized tracking error level for longer or shorter periods may be materially higher or lower depending on market conditions, sector positioning, securities selection and other factors. Higher tracking error generally indicates higher market risk. Actual or realized tracking error can and will differ from the forecasted or target tracking error described above.Generally, the Fund will invest in instruments of companies located in a number of different countries throughout the world, one of which will be the United States. Under normal circumstances, the Fund will invest at least 40% of its assets in non-U.S. companies. Notwithstanding the previous sentence, if the weighting of non-U.S. companies in the Global Equity Benchmark drops below 45%, the Fund may invest a lower amount in non-U.S. companies, which will normally be such that the minimum level for non-U.S. companies will be 5% below the weighting of non-U.S. companies in the Global Equity Benchmark as of the end of the prior business day (or, if such information is unavailable, the most recently published composition). The Fund will allocate its assets among various regions and countries, including the United States (but in no less than three different countries outside of the U.S.).The Adviser uses a set of value, momentum and other factors to generate an investment portfolio based on the Adviser’s global asset allocation models and security selection procedures. The Adviser believes that a better risk-adjusted return may be achievable by employing a multi-factor strategy that may incorporate value, momentum, and other strategies simultaneously.Value strategies favor securities that appear cheap based on fundamental measures. Examples of value measures include using price-to-earnings and price-to-book ratios for choosing individual equities and countries, and purchasing power parity for choosing currencies.Momentum strategies favor securities with measures of strong recent performance. Examples of momentum measures include simple price momentum for choosing individual equities and countries, and foreign exchange rate momentum for selecting currencies.In addition to these two main strategies, the Adviser may use a number of additional quantitative strategies based on the Adviser’s proprietary research. These may include, but are not limited to, quality strategies (which favor stable companies in good business health, including those with strong profitability and stable earnings) and sentiment strategies (which favor companies favored by high-conviction investors or companies whose management is acting in shareholder-friendly ways).In seeking to achieve its investment objective, the Fund may enter into both “long” and “short” positions in equity indexes and currencies using derivative instruments. The owner of a “long” position in a derivative instrument will benefit from an increase in the price of the underlying investment. The owner of a “short” position in a derivative instrument will benefit from a decrease in the price of the underlying investment.Generally, the Fund will invest at least 80% of its net assets (including any borrowings for investment purposes) in equity and equity-related instruments (including, but not limited to, exchange-traded funds, equity index futures, equity index swaps, swaps on equity index futures, depositary receipts, and real estate investment trusts ("REITs") or REIT-like entities). The Fund will invest in companies with a broad range of market capitalizations. The Fund has no market capitalization constraints. The Fund invests primarily in securities comprising the Global Equity Benchmark and also invests to some extent in securities outside the Global Equity Benchmark which the Adviser deems to have similar investment characteristics to the securities comprising the Global Equity Benchmark. The Fund may invest in or use rights, warrants, equity swaps, financial futures contracts, swaps on futures contracts, forward foreign currency contracts and other types of derivative instruments in seeking to achieve its investment objective. A portion of the Fund’s assets may be held in cash or cash equivalents including, but not limited to, money market instruments, interests in short-term investment funds or shares of money market or short-term bond funds. However, under normal market conditions net economic exposure to the equity markets (i.e. the total value of equity positions plus the net notional value of equity derivatives) will generally equal at least 95% of the Fund’s net assets.The Adviser utilizes portfolio optimization techniques to determine trading activity, taking into account both anticipated transaction costs and potential tax consequences associated with trading each equity instrument.
Read More

AQGIX - Performance

Return Ranking - Trailing

Period AQGIX Return Category Return Low Category Return High Rank in Category (%)
YTD 13.4% -35.6% 29.2% 17.90%
1 Yr 35.8% 17.3% 252.4% 50.00%
3 Yr 9.3%* -3.5% 34.6% 82.36%
5 Yr 11.0%* 0.1% 32.7% 69.66%
10 Yr 7.9%* -6.9% 18.3% 58.07%

* Annualized

Return Ranking - Calendar

Period AQGIX Return Category Return Low Category Return High Rank in Category (%)
2023 15.9% -24.3% 957.1% 66.78%
2022 -17.8% -38.3% 47.1% 52.84%
2021 5.3% -54.2% 0.6% 76.31%
2020 8.1% -76.0% 54.1% 49.19%
2019 20.9% -26.1% 47.8% 89.15%

Total Return Ranking - Trailing

Period AQGIX Return Category Return Low Category Return High Rank in Category (%)
YTD 13.4% -35.6% 29.2% 18.57%
1 Yr 35.8% 11.4% 252.4% 46.14%
3 Yr 9.3%* -3.5% 34.6% 80.29%
5 Yr 11.0%* 0.1% 32.7% 67.92%
10 Yr 7.9%* -6.9% 18.3% 56.03%

* Annualized

Total Return Ranking - Calendar

Period AQGIX Return Category Return Low Category Return High Rank in Category (%)
2023 22.9% -24.3% 957.1% 66.78%
2022 -14.1% -33.1% 47.1% 53.22%
2021 18.2% -44.4% 1.8% 83.04%
2020 9.3% -6.5% 54.1% 30.31%
2019 22.6% -14.4% 47.8% 21.85%

NAV & Total Return History


AQGIX - Holdings

Concentration Analysis

AQGIX Category Low Category High AQGIX % Rank
Net Assets 353 M 199 K 133 B 55.81%
Number of Holdings 727 1 9075 6.72%
Net Assets in Top 10 83 M -18 M 37.6 B 59.14%
Weighting of Top 10 25.50% 9.1% 100.0% 10.53%

Top 10 Holdings

  1. Limited Purpose Cash Investment Fund 7.46%
  2. Apple, Inc. 3.34%
  3. Microsoft Corp. 2.85%
  4. NVIDIA Corp. 2.53%
  5. Amazon.com, Inc. 2.16%
  6. Goldman Sachs Financial Square Funds - Treasury Instruments Fund, Institutional Shares 2.12%
  7. Cisco Systems, Inc. 1.35%
  8. CVS Health Corp. 1.27%
  9. Meta Platforms, Inc., Class A 1.23%
  10. Alphabet, Inc., Class A 1.20%

Asset Allocation

Weighting Return Low Return High AQGIX % Rank
Stocks
85.68% 61.84% 125.47% 32.49%
Cash
13.49% -174.70% 23.12% 99.67%
Other
0.76% -13.98% 19.14% 0.88%
Preferred Stocks
0.07% -0.01% 5.28% 99.89%
Convertible Bonds
0.00% 0.00% 4.46% 73.90%
Bonds
0.00% -1.50% 161.67% 74.56%

Stock Sector Breakdown

Weighting Return Low Return High AQGIX % Rank
Financial Services
18.79% 0.00% 38.42% 73.79%
Technology
18.63% 0.00% 49.87% 21.15%
Healthcare
11.89% 0.00% 35.42% 81.94%
Consumer Cyclical
11.46% 0.00% 40.94% 24.89%
Industrials
9.77% 0.00% 44.06% 33.81%
Energy
9.48% 0.00% 21.15% 55.18%
Consumer Defense
6.08% 0.00% 73.28% 60.68%
Basic Materials
4.96% 0.00% 38.60% 5.73%
Communication Services
4.17% 0.00% 57.66% 83.37%
Utilities
2.84% 0.00% 29.12% 32.27%
Real Estate
1.92% 0.00% 39.48% 35.02%

Stock Geographic Breakdown

Weighting Return Low Return High AQGIX % Rank
US
59.42% 0.13% 103.82% 12.33%
Non US
26.25% 0.58% 99.46% 87.67%

AQGIX - Expenses

Operational Fees

AQGIX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 0.84% 0.01% 44.27% 78.68%
Management Fee 0.60% 0.00% 1.82% 30.85%
12b-1 Fee N/A 0.00% 1.00% 8.26%
Administrative Fee N/A 0.01% 0.76% N/A

Sales Fees

AQGIX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Front Load N/A 2.50% 5.75% N/A
Deferred Load N/A 1.00% 5.00% N/A

Trading Fees

AQGIX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Max Redemption Fee N/A 1.00% 2.00% N/A

Related Fees

Turnover provides investors a proxy for the trading fees incurred by mutual fund managers who frequently adjust position allocations. Higher turnover means higher trading fees.

AQGIX Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Turnover N/A 0.00% 395.00% 86.81%

AQGIX - Distributions

Dividend Yield Analysis

AQGIX Category Low Category High AQGIX % Rank
Dividend Yield 2.61% 0.00% 3.26% 73.30%

Dividend Distribution Analysis

AQGIX Category Low Category High Category Mod
Dividend Distribution Frequency Annual Annually Annually Annually

Net Income Ratio Analysis

AQGIX Category Low Category High AQGIX % Rank
Net Income Ratio 1.28% -4.27% 12.65% 50.00%

Capital Gain Distribution Analysis

AQGIX Category Low Category High Capital Mode
Capital Gain Distribution Frequency Annually Annually Semi-Annually Annually

Distributions History

View More +

AQGIX - Fund Manager Analysis

Managers

John Liew


Start Date

Tenure

Tenure Rank

Dec 31, 2009

12.42

12.4%

Dr. Liew is a Founder and the head of the Global Asset Allocation team at of AQR, overseeing the research, portfolio management and trading associated with that strategy. Prior to AQR, he worked at Goldman, Sachs & Co. as a portfolio manager in the Asset Management Division where he developed and managed quantitative trading strategies. Dr. Liew began his career at Trout Trading, developing quantitative market-neutral stock-selection strategies. Dr Liew has published articles in The Journal of Portfolio Management and Financial Analysts Journal, and has received the Bernstein Fabozzi/Jacobs Levy award and the Graham and Dodd award for his articles. Dr. Liew is a member of the University of Chicago’s Board of Trustees and sits on the university’s investment committee. Dr Liew earned a B.A. in economics, an M.B.A. and a Ph.D. in finance from Chicago.

Clifford Asness


Start Date

Tenure

Tenure Rank

Dec 31, 2009

12.42

12.4%

Dr. Asness is a Founder, Managing Principal and Chief Investment Officer at AQR Capital Management. He is an research notable for its relevance and enduring value to investment professionals. Prior to co-founding AQR Capital Management, he was a Managing Director and Director of Quantitative Research for the Asset Management Division of Goldman, Sachs & Co. Dr. Asness is on the editorial board of The Journal of Portfolio Management, the governing board of the Courant Institute of Mathematical Finance at NYU, the Board of Directors of the Q-Group.

Lars Nielsen


Start Date

Tenure

Tenure Rank

Jan 01, 2020

2.41

2.4%

Nielsen is a Principal of AQR Capital Management. Mr. Nielsen joined AQR in 2000 and currently serves as the co-head of portfolio management, research, risk and trading. He earned a B.Sc. and an M.Sc. in economics from the University of Copenhagen. Prior to joining the Adviser in 2000, he was an Analyst in the Quantitative Research Group of Danske Invest.

Andrea Frazzini


Start Date

Tenure

Tenure Rank

Jan 01, 2020

2.41

2.4%

Andrea Frazzini is a Principal at AQR Capital Management, where he is the Head of our Global Stock Selection team. He is also an Adjunct Professor of Finance at New York University’s Stern School of Business. He has published in top academic journals and won several awards for his research, including the Smith Breeden Award, the Fama-DFA Prize, the BGI Michael Brennan Award, several Bernstein Fabozzi/Jacobs Levy Awards and the PanAgora Crowell Memorial Prize. Prior to joining AQR, Andrea was an associate professor of finance at the University of Chicago’s Graduate School of Business and a Research Associate at the National Bureau of Economic Research. He also served as a consultant for DKR Capital Partners and J.P. Morgan Securities and was on the board of directors of the Center for Research in Security Prices at the University of Chicago. He earned a B.S. in economics from the University of Roma Tre, an M.S. in economics from the London School of Economics and a Ph.D. in economics from Yale University.

Jordan Brooks


Start Date

Tenure

Tenure Rank

Jan 01, 2022

0.41

0.4%

Jordan Brooks is a Principal at AQR Capital Management, where he is the Co-Head of the Macro Strategies Group. In this role, he oversees equity index, fixed income, currency, and risk parity research, and is a portfolio manager for the firm’s risk parity, global macro, and multi-strategy portfolios. Jordan is also a Lecturer in Management at Yale University and an Adjunct Professor of Finance at New York University. He has published numerous articles on fixed income, global macro, and the intersection of asset pricing and macroeconomics. Prior to joining AQR, Jordan was a teaching fellow in the economics department at New York University, and a dissertation intern in the division of monetary affairs at the Federal Reserve Board of Governors and in the capital markets group at the Federal Reserve Bank of New York. Jordan earned a B.A. in economics and mathematics from Boston College, and an M.A. and Ph.D., both in economics, from New York University.

John Huss


Start Date

Tenure

Tenure Rank

Jan 01, 2022

0.41

0.4%

John J. Huss, Principal, rejoined AQR in 2013 and oversees multi-asset class strategies as a researcher and portfolio manager. Mr. Huss rejoined the AQR Capital Management in 2013 and is a portfolio manager for the firm’s World Allocation strategy where he focuses on macroeconomic and portfolio construction research for risk parity and other asset allocation strategies. Prior to rejoining the firm, where he first worked from 2004 to 2008, Mr. Huss was a vice president in RBC’s Global Arbitrage and Trading division and a systematic portfolio manager for Tudor Investment Corp. Mr. Huss earned a B.S. in mathematics from the Massachusetts Institute of Technology.

Tenure Analysis

Category Low Category High Category Average Category Mode
0.01 35.82 6.24 1.25