Correlation Between Fortress Biotech and Eyenovia
Can any of the company-specific risk be diversified away by investing in both Fortress Biotech and Eyenovia 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 Fortress Biotech and Eyenovia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fortress Biotech Pref and Eyenovia, you can compare the effects of market volatilities on Fortress Biotech and Eyenovia 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 Fortress Biotech with a short position of Eyenovia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fortress Biotech and Eyenovia.
Diversification Opportunities for Fortress Biotech and Eyenovia
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Fortress and Eyenovia is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Fortress Biotech Pref and Eyenovia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eyenovia and Fortress Biotech 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 Fortress Biotech Pref are associated (or correlated) with Eyenovia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eyenovia has no effect on the direction of Fortress Biotech i.e., Fortress Biotech and Eyenovia go up and down completely randomly.
Pair Corralation between Fortress Biotech and Eyenovia
Assuming the 90 days horizon Fortress Biotech Pref is expected to generate 0.28 times more return on investment than Eyenovia. However, Fortress Biotech Pref is 3.54 times less risky than Eyenovia. It trades about 0.03 of its potential returns per unit of risk. Eyenovia is currently generating about -0.19 per unit of risk. If you would invest 655.00 in Fortress Biotech Pref on December 23, 2024 and sell it today you would earn a total of 19.00 from holding Fortress Biotech Pref or generate 2.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fortress Biotech Pref vs. Eyenovia
Performance |
Timeline |
Fortress Biotech Pref |
Eyenovia |
Fortress Biotech and Eyenovia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fortress Biotech and Eyenovia
The main advantage of trading using opposite Fortress Biotech and Eyenovia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fortress Biotech position performs unexpectedly, Eyenovia 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 Eyenovia will offset losses from the drop in Eyenovia's long position.Fortress Biotech vs. Checkpoint Therapeutics | Fortress Biotech vs. Mustang Bio | Fortress Biotech vs. Reviva Pharmaceuticals Holdings | Fortress Biotech vs. Kodiak Sciences |
Eyenovia vs. Reviva Pharmaceuticals Holdings | Eyenovia vs. Cidara Therapeutics | Eyenovia vs. Fortress Biotech | Eyenovia vs. Reviva Pharmaceuticals Holdings |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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