CANG vs GIFT: Correlation
Cango Inc. Class A (CANG) and Giftify, Inc. (GIFT) show a negative relationship: their 3-year correlation of weekly returns is -0.19.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CANG and GIFT?
Across a 3-year window, the weekly returns of CANG and GIFT correlate at -0.19, negative, meaning they tend to move in opposite directions. The relationship has been stable: the 1-year correlation (-0.26) sits close to the 3-year figure. Stretching to 5 years gives -0.13, with an annualized covariance of -1142.6 %².
GIFT is close to the least connected end of CANG's tracked universe, ranking #9 of 11. The last year tells two different stories: GIFT led by 69.4 percentage points, -89.4% for CANG against -20.0% for GIFT.
How is this computed?
Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.
CANG vs GIFT: side by side
| CANG (Cango Inc. Class A) | GIFT (Giftify, Inc.) | |
|---|---|---|
| 1-year return | -89.4% | -20.0% |
| 5-year return | -60.9% | -65.3% |
| Volatility (ann.) | 84.7% | 70.2% |
| Beta vs S&P 500 | 1.14 | 0.42 |
| Max drawdown (3Y) | -96.5% | -83.5% |
| Market cap | $0.1B | – |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | CANG | GIFT |
|---|---|---|
| 2022 | +36.2% | +135.8% |
| 2023 | -22.1% | +182.7% |
| 2024 | +331.4% | -72.7% |
| 2025 | -31.8% | +0.9% |
| 2026 | -82.7% | -25.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CANG and GIFT good diversifiers for each other?
Yes: at -0.19, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between CANG and GIFT?
Using weekly returns as of 2026-08-27: -0.19 over 3 years, with -0.26 over the last year and -0.13 over 5 years.
Is GIFT a good diversifier for CANG?
Yes: at -0.19, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.19 mean?
Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.
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Related comparisons
Hubs: CANG correlations · GIFT correlations
