Correlation Between Snap and Ambarella
Can any of the company-specific risk be diversified away by investing in both Snap and Ambarella at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Snap and Ambarella into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snap Inc and Ambarella, you can compare the effects of market volatilities on Snap and Ambarella and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Snap with a short position of Ambarella. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snap and Ambarella.
Diversification Opportunities for Snap and Ambarella
Good diversification
The 3 months correlation between Snap and Ambarella is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Snap Inc and Ambarella in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ambarella and Snap is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Snap Inc are associated (or correlated) with Ambarella. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ambarella has no effect on the direction of Snap i.e., Snap and Ambarella go up and down completely randomly.
Pair Corralation between Snap and Ambarella
Given the investment horizon of 90 days Snap Inc is expected to under-perform the Ambarella. But the stock apears to be less risky and, when comparing its historical volatility, Snap Inc is 1.13 times less risky than Ambarella. The stock trades about -0.07 of its potential returns per unit of risk. The Ambarella is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 6,609 in Ambarella on July 31, 2025 and sell it today you would earn a total of 2,021 from holding Ambarella or generate 30.58% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Snap Inc vs. Ambarella
Performance |
| Timeline |
| Snap Inc |
| Ambarella |
Snap and Ambarella Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snap and Ambarella
The main advantage of trading using opposite Snap and Ambarella positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snap position performs unexpectedly, Ambarella can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ambarella will offset losses from the drop in Ambarella's long position.The idea behind Snap Inc and Ambarella pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Ambarella vs. IPG Photonics | Ambarella vs. Silicon Laboratories | Ambarella vs. FormFactor | Ambarella vs. Quantum Computing |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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