Correlation Between Bionano Genomics and BioLife Sciences
Can any of the company-specific risk be diversified away by investing in both Bionano Genomics and BioLife Sciences 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 Bionano Genomics and BioLife Sciences into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bionano Genomics and BioLife Sciences, you can compare the effects of market volatilities on Bionano Genomics and BioLife Sciences 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 Bionano Genomics with a short position of BioLife Sciences. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bionano Genomics and BioLife Sciences.
Diversification Opportunities for Bionano Genomics and BioLife Sciences
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bionano and BioLife is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bionano Genomics and BioLife Sciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BioLife Sciences and Bionano Genomics 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 Bionano Genomics are associated (or correlated) with BioLife Sciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BioLife Sciences has no effect on the direction of Bionano Genomics i.e., Bionano Genomics and BioLife Sciences go up and down completely randomly.
Pair Corralation between Bionano Genomics and BioLife Sciences
Given the investment horizon of 90 days Bionano Genomics is expected to under-perform the BioLife Sciences. But the stock apears to be less risky and, when comparing its historical volatility, Bionano Genomics is 16.42 times less risky than BioLife Sciences. The stock trades about -0.15 of its potential returns per unit of risk. The BioLife Sciences is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 0.20 in BioLife Sciences on November 2, 2024 and sell it today you would lose (0.19) from holding BioLife Sciences or give up 95.0% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 99.8% |
| Values | Daily Returns |
Bionano Genomics vs. BioLife Sciences
Performance |
| Timeline |
| Bionano Genomics |
| BioLife Sciences |
Bionano Genomics and BioLife Sciences Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bionano Genomics and BioLife Sciences
The main advantage of trading using opposite Bionano Genomics and BioLife Sciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bionano Genomics position performs unexpectedly, BioLife Sciences 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 BioLife Sciences will offset losses from the drop in BioLife Sciences' long position.| Bionano Genomics vs. Intuitive Surgical | Bionano Genomics vs. Innovative Eyewear | Bionano Genomics vs. Stereotaxis | Bionano Genomics vs. Nexgel Inc |
| BioLife Sciences vs. Innerscope Advertising Agency | BioLife Sciences vs. CeCors Inc | BioLife Sciences vs. GlucoTrack | BioLife Sciences vs. Sharps Technology |
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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