Correlation Between NYSE Composite and 10X Genomics
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and 10X Genomics 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 NYSE Composite and 10X Genomics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and 10X Genomics, you can compare the effects of market volatilities on NYSE Composite and 10X Genomics 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 NYSE Composite with a short position of 10X Genomics. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and 10X Genomics.
Diversification Opportunities for NYSE Composite and 10X Genomics
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between NYSE and 10X is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and 10X Genomics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 10X Genomics and NYSE Composite 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 NYSE Composite are associated (or correlated) with 10X Genomics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 10X Genomics has no effect on the direction of NYSE Composite i.e., NYSE Composite and 10X Genomics go up and down completely randomly.
Pair Corralation between NYSE Composite and 10X Genomics
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.18 times more return on investment than 10X Genomics. However, NYSE Composite is 5.66 times less risky than 10X Genomics. It trades about 0.11 of its potential returns per unit of risk. 10X Genomics is currently generating about -0.07 per unit of risk. If you would invest 1,583,553 in NYSE Composite on August 28, 2024 and sell it today you would earn a total of 438,483 from holding NYSE Composite or generate 27.69% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. 10X Genomics
Performance |
| Timeline |
NYSE Composite and 10X Genomics Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
10X Genomics
Pair trading matchups for 10X Genomics
Pair Trading with NYSE Composite and 10X Genomics
The main advantage of trading using opposite NYSE Composite and 10X Genomics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, 10X Genomics 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 10X Genomics will offset losses from the drop in 10X Genomics' long position.| NYSE Composite vs. Vita Coco | NYSE Composite vs. Franklin Wireless Corp | NYSE Composite vs. Ambev SA ADR | NYSE Composite vs. Toro Co |
| 10X Genomics vs. Twist Bioscience Corp | 10X Genomics vs. Fate Therapeutics | 10X Genomics vs. Beam Therapeutics | 10X Genomics vs. Veracyte |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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