Correlation Between Fate Therapeutics and Biocardia
Can any of the company-specific risk be diversified away by investing in both Fate Therapeutics and Biocardia 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 Fate Therapeutics and Biocardia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fate Therapeutics and Biocardia, you can compare the effects of market volatilities on Fate Therapeutics and Biocardia 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 Fate Therapeutics with a short position of Biocardia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fate Therapeutics and Biocardia.
Diversification Opportunities for Fate Therapeutics and Biocardia
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Fate and Biocardia is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Fate Therapeutics and Biocardia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Biocardia and Fate Therapeutics 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 Fate Therapeutics are associated (or correlated) with Biocardia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Biocardia has no effect on the direction of Fate Therapeutics i.e., Fate Therapeutics and Biocardia go up and down completely randomly.
Pair Corralation between Fate Therapeutics and Biocardia
Given the investment horizon of 90 days Fate Therapeutics is expected to generate 0.6 times more return on investment than Biocardia. However, Fate Therapeutics is 1.66 times less risky than Biocardia. It trades about -0.02 of its potential returns per unit of risk. Biocardia is currently generating about -0.02 per unit of risk. If you would invest 1,017 in Fate Therapeutics on September 23, 2024 and sell it today you would lose (849.00) from holding Fate Therapeutics or give up 83.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Fate Therapeutics vs. Biocardia
Performance |
Timeline |
Fate Therapeutics |
Biocardia |
Fate Therapeutics and Biocardia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fate Therapeutics and Biocardia
The main advantage of trading using opposite Fate Therapeutics and Biocardia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fate Therapeutics position performs unexpectedly, Biocardia 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 Biocardia will offset losses from the drop in Biocardia's long position.Fate Therapeutics vs. Atara Biotherapeutics | Fate Therapeutics vs. Sana Biotechnology | Fate Therapeutics vs. Caribou Biosciences | Fate Therapeutics vs. Arcus Biosciences |
Biocardia vs. Fate Therapeutics | Biocardia vs. Sana Biotechnology | Biocardia vs. Caribou Biosciences | Biocardia vs. Arcus Biosciences |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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