Correlation Between Cytek Biosciences and STRATA Skin
Can any of the company-specific risk be diversified away by investing in both Cytek Biosciences and STRATA Skin 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 Cytek Biosciences and STRATA Skin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cytek Biosciences and STRATA Skin Sciences, you can compare the effects of market volatilities on Cytek Biosciences and STRATA Skin 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 Cytek Biosciences with a short position of STRATA Skin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cytek Biosciences and STRATA Skin.
Diversification Opportunities for Cytek Biosciences and STRATA Skin
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Cytek and STRATA is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Cytek Biosciences and STRATA Skin Sciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STRATA Skin Sciences and Cytek Biosciences 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 Cytek Biosciences are associated (or correlated) with STRATA Skin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STRATA Skin Sciences has no effect on the direction of Cytek Biosciences i.e., Cytek Biosciences and STRATA Skin go up and down completely randomly.
Pair Corralation between Cytek Biosciences and STRATA Skin
Given the investment horizon of 90 days Cytek Biosciences is expected to generate 1.37 times more return on investment than STRATA Skin. However, Cytek Biosciences is 1.37 times more volatile than STRATA Skin Sciences. It trades about 0.21 of its potential returns per unit of risk. STRATA Skin Sciences is currently generating about -0.22 per unit of risk. If you would invest 249.00 in Cytek Biosciences on May 28, 2025 and sell it today you would earn a total of 162.00 from holding Cytek Biosciences or generate 65.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cytek Biosciences vs. STRATA Skin Sciences
Performance |
Timeline |
Cytek Biosciences |
STRATA Skin Sciences |
Cytek Biosciences and STRATA Skin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cytek Biosciences and STRATA Skin
The main advantage of trading using opposite Cytek Biosciences and STRATA Skin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cytek Biosciences position performs unexpectedly, STRATA Skin 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 STRATA Skin will offset losses from the drop in STRATA Skin's long position.Cytek Biosciences vs. MaxCyte | Cytek Biosciences vs. Sight Sciences | Cytek Biosciences vs. CVRx Inc | Cytek Biosciences vs. Neuropace |
STRATA Skin vs. Elutia Inc | STRATA Skin vs. Ainos Inc | STRATA Skin vs. SurModics | STRATA Skin vs. LENSAR Inc |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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