PivotalPath Global Macro:Risk Premia Index

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PivotalPath Global Macro: Risk Premia Index

The PivotalPath Global Macro: Risk Premia Hedge Fund Index is an equal weighted index which comprises funds that target absolute returns through long and short positions across various factors and asset classes in the global market landscape. The Index tracks the monthly performance, net of fees in USD, of its constituents with a minimum fund track record of 18 months and a minimum fund AUM of $50mm. The constituents are fixed at the end of each calendar year for the following calendar year.

Download the full monthly series — free with a registered account.

8.1%
Annualised return
10.2%
Annualised volatility
0.68
Sharpe ratio
-24.5%
Maximum drawdown

PivotalPath Global Macro: Risk Premia Index as of August 2026.

Performance

Summary statistics since inception

Annualised return 8.1%
Annualised volatility 10.2%
Sharpe ratio (excess of risk-free) 0.68
Return / volatility (not a Sharpe ratio) 0.80
Maximum drawdown -24.5%
Positive months 63.8%
Best month 9.8%
Worst month -13.9%

Trailing returns — ANNUALISED (periods over one year)

2 years, annualised 10.8%
3 years, annualised 10.8%
5 years, annualised 8.9%
10 years, annualised 4.9%

Cumulative returns — NOT annualised

1 year, cumulative 15.4%
Year to date 11.5%
Month to date 1.6%
Since inception 331.3%

The two tables above use different conventions and are not comparable figure for figure: returns over periods longer than one year are annualised, while one-year, year-to-date, month-to-date and since-inception returns are cumulative.

Behaviour against the S&P 500

Regression against the S&P 500

Since inception Trailing 36 months
Raw Excess
Jensen’s
Raw Excess
Jensen’s
Beta to S&P 500 0.34 0.34 -0.00 -0.00
Alpha, annualised 4.3% 3.4% 11.0% 6.2%
R-squared 0.28 0.28 0.00 0.00
Correlation 0.53 — -0.01 —

Raw regresses reported returns against the benchmark with nothing deducted. Excess subtracts the risk-free rate from both sides first, which is what makes its intercept Jensen’s alpha. The raw intercept still contains the cash return, so it overstates skill by roughly the risk-free rate times (1 − beta).

Are hedge funds correlated? →  ·  Do hedge funds generate alpha? →

Capture — since inception

Upside capture 44.1%
Downside capture 24.8%
Falling benchmark months 74
Mean return, benchmark’s worst 10 -4.3%
Benchmark mean, same 10 months -10.1%

Capture — trailing 36 months

Upside capture 25.1%
Downside capture -31.1%
Falling benchmark months 12
Mean return, benchmark’s worst 10 0.9%
Benchmark mean, same 10 months -2.8%

Do hedge funds protect on the downside? →

Returns by period

Quarterly returns · 2020 to present

Q3 2026 (partial) 3.8%
Q2 2026 1.6%
Q1 2026 5.7%
Q4 2025 1.7%
Q3 2025 4.1%
Q2 2025 -1.6%
Q1 2025 4.7%
Q4 2024 0.9%
Q3 2024 -0.4%
Q2 2024 1.1%
Q1 2024 8.1%
Q4 2023 -0.2%
Q3 2023 4.6%
Q2 2023 2.1%
Q1 2023 1.4%
Q4 2022 2.1%
Q3 2022 -0.6%
Q2 2022 0.8%
Q1 2022 1.8%
Q4 2021 2.4%
Q3 2021 1.0%
Q2 2021 4.0%
Q1 2021 4.6%
Q4 2020 1.7%
Q3 2020 0.7%
Q2 2020 -1.2%
Q1 2020 -12.3%

27 quarters, 2020 to present. Scroll for the full series.

The most recent quarter shown is partial. Cumulative within each quarter, net of fees, in USD.

Calendar-year returns · since inception

2026 (partial) 11.5%
2025 9.1%
2024 9.9%
2023 8.1%
2022 4.2%
2021 12.5%
2020 -11.3%
2019 8.1%
2018 -9.0%
2017 10.5%
2016 6.4%
2015 -1.2%
2014 12.3%
2013 6.8%
2012 17.5%
2011 13.0%
2010 45.0%
2009 26.0%
2008 -13.7%

19 years, since 2008. Scroll for the full series.

The most recent year shown is partial. Cumulative within each year, net of fees, in USD.

Returns by year →

Construction

Weighting
Asset-weighted. An equal-weighted variant is published separately.
Eligibility
Minimum 18-month track record and $50mm AUM, assessed at constituent locking.
Constituent locking
Determined annually, at the end of each calendar year.
Rebalancing
Monthly.
Returns basis
Net of all fees, in USD.
Returns are monthly, net of all fees, in USD. The complete return history is published free under a Creative Commons Attribution licence at github.com/pivotalpath/publicdata. Past performance does not predict future returns.

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