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AQR LSE Fusion Fund Class I (QLFIX)
Performance
Return for Risk
Dividends
Drawdowns
Volatility

Fund Info

Issuer
AQR
Inception Date
Jun 25, 2025
Category
Long-Short
Leveraged
1x (No leverage)
Index Tracked
No Index (Active)
Distribution Policy
Distributing
Asset Class
Alternatives

Share Price Chart


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Performance

Performance Chart

The chart shows the growth of an initial investment of $10,000 in AQR LSE Fusion Fund Class I, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends.


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S&P 500 Index

Returns By Period


AQR LSE Fusion Fund Class I

1D
0.38%
1M
-8.81%
YTD
-13.13%
6M
1Y
3Y*
5Y*
10Y*

Benchmark (S&P 500 Index)

1D
2.91%
1M
-5.09%
YTD
-4.63%
6M
-2.39%
1Y
16.33%
3Y*
16.69%
5Y*
10.18%
10Y*
12.16%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Monthly Returns

Based on dividend-adjusted daily data since Nov 6, 2025, QLFIX's average daily return is -0.08%, while the average monthly return is -1.38%.

Historically, 40% of months were positive and 60% were negative. The best month was Dec 2025 with a return of +3.9%, while the worst month was Mar 2026 at -8.8%. The longest winning streak lasted 2 consecutive months, and the longest losing streak was 3 months.

On a daily basis, QLFIX closed higher 51% of trading days. The best single day was Nov 10, 2025 with a return of +2.2%, while the worst single day was Feb 3, 2026 at -2.5%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026-4.24%-0.52%-8.81%-13.13%
20252.75%3.93%6.78%

Benchmark Metrics

AQR LSE Fusion Fund Class I has an annualized alpha of -1.34%, beta of 0.98, and R² of 0.66 versus S&P 500 Index. Calculated based on daily prices since November 07, 2025.

  • This fund participated in 67.42% of S&P 500 Index downside but only -63.37% of its upside — more exposed to losses than it benefited from rallies.
  • With beta of 0.98 and R² of 0.66, this fund moves broadly in line with S&P 500 Index — much of its variation is explained by market exposure rather than independent behavior.

Alpha
-1.34%
Beta
0.98
0.66
Upside Capture
-63.37%
Downside Capture
67.42%

Expense Ratio

QLFIX has a high expense ratio of 6.30%, indicating above-average management fees.


Return for Risk

Return / Risk — by metrics

The table below present risk-adjusted performance metrics for AQR LSE Fusion Fund Class I (QLFIX) and compare them to a chosen benchmark (S&P 500 Index).


Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

Dividends

Dividend History

AQR LSE Fusion Fund Class I provided a 0.25% dividend yield over the last twelve months, with an annual payout of $0.03 per share.


0.21%$0.00$0.01$0.01$0.02$0.02$0.032025
Dividends
Dividend Yield
PeriodTTM2025
Dividend$0.03$0.03

Dividend yield

0.25%0.21%

Monthly Dividends

The table displays the monthly dividend distributions for AQR LSE Fusion Fund Class I. The dividends shown in the table have been adjusted to account for any splits that may have occurred.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
2026$0.00$0.00$0.00$0.00
2025$0.03$0.03

Drawdowns

Drawdowns Chart

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.


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Worst Drawdowns

The table below displays the maximum drawdowns of the AQR LSE Fusion Fund Class I. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the AQR LSE Fusion Fund Class I was 14.53%, occurring on Mar 27, 2026. The portfolio has not yet recovered.

The current AQR LSE Fusion Fund Class I drawdown is 14.20%.


Depth

Start

To Bottom

Bottom

To Recover

End

Total

-14.53%Dec 29, 202562Mar 27, 2026
-3.61%Nov 13, 20256Nov 20, 20255Dec 2, 202511
-0.79%Dec 12, 20253Dec 17, 20251Dec 19, 20254
-0.34%Dec 3, 20251Dec 3, 20251Dec 4, 20252
-0.09%Nov 7, 20251Nov 7, 20251Nov 10, 20252

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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