# CLSE ETF vs the S&P 500: Returns, Risk and Crash History

> Convergence Long/Short Equity ETF (market value $365 million): how it compared with the S&P 500, how it behaved in every crash since 2008, its risk‑adjusted returns. Returns to Oct 30, 2026.

Source: https://www.exent.ai/etfs/clse · Reviewed by David, Senior Analyst, Exent · Published Nov 11, 2026 · Updated Nov 11, 2026

## Key takeaways

- CLSE returned +108.3% over the 3 years to Oct 30, 2026 versus +87.4% for the S&P 500: it beat the index.
- Its 3-year Sharpe ratio was 1.77 against 1.43 for the S&P 500.
- Its deepest crisis drawdown was −14.5% in the 2025 tariff selloff (S&P 500: −19.0%).
- Five‑year volatility was 13.8% and beta 0.78.

## Did CLSE beat the S&P 500?

Over the 3 years to Oct 30, 2026, Convergence Long/Short Equity ETF (CLSE) returned **+108.3%** including dividends, versus **+87.4%** for the S&P 500 (SPY). It beat the index by 20.9 percentage points, or +27.7% a year against +23.3%.

| Period | CLSE | S&P 500 | CLSE per year | S&P 500 per year | Result |
| --- | --- | --- | --- | --- | --- |
| 1 year | +23.5% | +12.0% | +23.5% | +12.0% | Beat |
| 3 years | +108.3% | +87.4% | +27.7% | +23.3% | Beat |

Total return with dividends reinvested, from month-end prices to Oct 30, 2026. Beating the index on raw return is only half the story: the next section adjusts for the risk taken. See also [how to beat the S&P 500](https://www.exent.ai/beat-the-market).

## CLSE returns by year vs the S&P 500

CLSE beat the S&P 500 in 2 of the 3 full calendar years shown.

| Year | CLSE | S&P 500 | Difference |
| --- | --- | --- | --- |
| 2026 (to Oct 30, 2026) | +19.9% | +11.7% | +8.2% |
| 2025 | +20.4% | +17.7% | +2.7% |
| 2024 | +35.5% | +24.9% | +10.6% |
| 2023 | +17.6% | +26.2% | −8.6% |

## CLSE risk-adjusted returns: Sharpe, Sortino and volatility

Over 3 years, CLSE had a Sharpe ratio of **1.77** against 1.43 for the S&P 500, so it earned more return per unit of risk than the index. Its annualized volatility was 11.9% and its beta 0.78: it tended to move about 0.8× as much as the market.

| Metric | CLSE | S&P 500 |
| --- | --- | --- |
| Annual return | +27.7% | +23.3% |
| Volatility (annualized) | 11.9% | 12.3% |
| Sharpe ratio | 1.77 | 1.43 |
| Sortino ratio | 4.35 | 3.02 |
| Max drawdown (month-end) | −7.4% | −7.6% |
| Beta to the S&P 500 | 0.78 | 1.00 |

[Sharpe](https://www.exent.ai/learn/sharpe-ratio) divides return above cash by total volatility; [Sortino](https://www.exent.ai/learn/sortino-ratio) counts only downside volatility. Both use monthly returns and the 1–3 month T‑bill ETF (BIL) as the risk‑free rate.

## How CLSE behaved in past crashes

CLSE’s deepest fall in the crises below was **−14.5%** in the 2025 tariff selloff, against −19.0% for the S&P 500. The last column turns that into money: what a $100,000 position would have lost from peak to trough.

| Crisis | CLSE | S&P 500 | Loss on $100,000 |
| --- | --- | --- | --- |
| 2025 tariff selloff | −14.5% | −19.0% | −$14,460 |

| Window | CLSE max drawdown |
| --- | --- |
| Last 1 year | −9.3% |
| Last 3 years | −16.4% |
| Last 5 years | −16.4% |
| Last 10 years | −16.6% |

Peak‑to‑trough declines from daily prices inside each crisis window. A crash replay does not predict the next crisis; it shows how much room a holding needs. Run the same replay on a whole portfolio with the [crash test](https://www.exent.ai/tools/crash-test).

## What moves with CLSE, and what doesn’t

Correlation runs from −1 (moves opposite) to +1 (moves in lockstep). Over the last 36 months of monthly returns, CLSE’s correlation with the S&P 500 was **0.80**, with the Nasdaq‑100 0.82, with long Treasuries (TLT) 0.06 and with gold (GLD) −0.01.

| Least correlated large caps | Correlation | Most correlated large caps | Correlation |
| --- | --- | --- | --- |
|  | −0.36 |  | 0.73 |
|  | −0.36 |  | 0.66 |
|  | −0.32 |  | 0.66 |
|  | −0.27 |  | 0.63 |
|  | −0.26 |  | 0.62 |

Holdings that are highly correlated behave like one position in a selloff. See [how to find hidden overlap](https://www.exent.ai/resources/is-my-portfolio-diversified).

## What does CLSE hold?

As of Oct 20, 2026, CLSE held **164 positions**; its 10 largest made up **32.0%** of the fund. The largest was NVDA (NVIDIA Corporation) at 5.96%.

| Holding | Name | Weight |
| --- | --- | --- |
| [NVDA](https://www.exent.ai/stocks/nvda) | NVIDIA Corporation | 5.96% |
| [GOOGL](https://www.exent.ai/stocks/googl) | Alphabet Inc. | 3.78% |
| [AMZN](https://www.exent.ai/stocks/amzn) | Amazon.com, Inc. | 3.38% |
| [GOOG](https://www.exent.ai/stocks/googl) | Alphabet Inc | 3.28% |
| [MU](https://www.exent.ai/stocks/mu) | Micron Technology, Inc. | 3.20% |
| [AAPL](https://www.exent.ai/stocks/aapl) | Apple Inc. | 2.83% |
| [AVGO](https://www.exent.ai/stocks/avgo) | Broadcom Inc. | 2.62% |
| [AMD](https://www.exent.ai/stocks/amd) | Advanced Micro Devices, Inc. | 2.49% |
| [META](https://www.exent.ai/stocks/meta) | Meta Platforms, Inc. | 2.28% |
| [FTNT](https://www.exent.ai/stocks/ftnt) | Fortinet, Inc. | 2.17% |

From the fund’s latest published holdings. Overlap by weight adds up, for every stock both funds hold, the smaller of its two weights: 100% would mean the same portfolio. [How much do VOO, QQQ and VTI overlap?](https://www.exent.ai/resources/etf-overlap-voo-qqq-vti)

## The right benchmark for CLSE

Exent matches every holding to the index with the most similar risk. For CLSE that is **SPY** (the S&P 500). Comparing a holding with an index that carries very different risk makes good results look bad and risky ones look clever. Read [why the S&P 500 is the wrong benchmark for most portfolios](https://www.exent.ai/resources/why-the-sp-500-is-the-wrong-benchmark).

## Other popular ETFs

| Ticker | Name | 5‑year return | Volatility (5y) |
| --- | --- | --- | --- |
|  | Vanguard Total Stock Market Index Fund ETF Shares | +68.1% | 17.4% |
|  | Vanguard S&P 500 ETF | +76.5% | 16.8% |
|  | iShares Core S&P 500 ETF | +76.5% | 16.9% |
|  | State Street SPDR S&P 500 ETF Trust | +75.9% | 17.0% |
|  | SPDR S&P 500 ETF Trust | +78.6% | 20.8% |
|  | Vanguard Total Intl Stock Idx Fund | +47.5% | 16.0% |
|  | Invesco QQQ Trust | +84.3% | 22.3% |
|  | Vanguard Growth Index Fund ETF Shares | +66.9% | 22.2% |

## Data and methodology

Returns are total returns from month‑end adjusted closing prices (dividends reinvested) through Oct 30, 2026. Crisis drawdowns and trailing maximum drawdowns use daily prices. Analyst coverage counts ratings published in the last 12 months, shown with a 30‑day delay. Full method: [Exent methodology](https://www.exent.ai/methodology).

Holdings and weights are the fund’s latest published holdings; ETF overlap compares those holdings stock by stock.

Past performance does not guarantee future results. Historical figures are calculated by Exent from market data and are for education only; they are not investment advice or a recommendation to buy or sell any security.

## See what CLSE does to your own portfolio

1. Upload a screenshot of your holdings (or a CSV, Excel, PDF or Google Sheet); no brokerage login.
2. Exent replays your whole portfolio, CLSE included, through the 2008, 2018, 2020, 2022 and 2025 selloffs and shows which holdings drive the losses.
3. It finds holdings that move together with CLSE and compares your portfolio with a risk‑matched benchmark, Sharpe and Sortino included.
4. Use the what‑if simulator to change weights and see the effect before you trade.

Exent is our product: [Exent portfolio check](https://www.exent.ai/portfolio)

## Frequently asked questions

### What is CLSE’s Sharpe ratio?

Over the 3 years to Oct 30, 2026, CLSE’s Sharpe ratio was 1.77 and its Sortino ratio 4.35, versus 1.43 and 3.02 for the S&P 500.

### Is CLSE a volatile ETF?

CLSE’s 5‑year annualized volatility was 13.8%, lower than the S&P 500’s 17.0%, with a beta of 0.78.

### What is least correlated with CLSE?

Among large US stocks, the lowest correlations with CLSE over the last 36 months were COP (−0.36), XOM (−0.36), GILD (−0.32). Its correlation with long Treasuries (TLT) was 0.06 and with gold (GLD) −0.01.

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Educational content, not investment advice. Past performance does not guarantee future results.
