Correlation Between Axsome Therapeutics and Cassava Sciences
Can any of the company-specific risk be diversified away by investing in both Axsome Therapeutics and Cassava 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 Axsome Therapeutics and Cassava Sciences into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Axsome Therapeutics and Cassava Sciences, you can compare the effects of market volatilities on Axsome Therapeutics and Cassava 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 Axsome Therapeutics with a short position of Cassava Sciences. Check out your portfolio center. Please also check ongoing floating volatility patterns of Axsome Therapeutics and Cassava Sciences.
Diversification Opportunities for Axsome Therapeutics and Cassava Sciences
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Axsome and Cassava is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Axsome Therapeutics and Cassava Sciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cassava Sciences and Axsome 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 Axsome Therapeutics are associated (or correlated) with Cassava Sciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cassava Sciences has no effect on the direction of Axsome Therapeutics i.e., Axsome Therapeutics and Cassava Sciences go up and down completely randomly.
Pair Corralation between Axsome Therapeutics and Cassava Sciences
Given the investment horizon of 90 days Axsome Therapeutics is expected to generate 0.14 times more return on investment than Cassava Sciences. However, Axsome Therapeutics is 7.22 times less risky than Cassava Sciences. It trades about 0.18 of its potential returns per unit of risk. Cassava Sciences is currently generating about -0.2 per unit of risk. If you would invest 9,035 in Axsome Therapeutics on August 30, 2024 and sell it today you would earn a total of 930.00 from holding Axsome Therapeutics or generate 10.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Axsome Therapeutics vs. Cassava Sciences
Performance |
| Timeline |
| Axsome Therapeutics |
| Cassava Sciences |
Axsome Therapeutics and Cassava Sciences Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Axsome Therapeutics and Cassava Sciences
The main advantage of trading using opposite Axsome Therapeutics and Cassava Sciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Axsome Therapeutics position performs unexpectedly, Cassava 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 Cassava Sciences will offset losses from the drop in Cassava Sciences' long position.| Axsome Therapeutics vs. Incyte | Axsome Therapeutics vs. Sarepta Therapeutics | Axsome Therapeutics vs. ACADIA Pharmaceuticals | Axsome Therapeutics vs. Viking Therapeutics |
| Cassava Sciences vs. Annovis Bio | Cassava Sciences vs. Axsome Therapeutics | Cassava Sciences vs. Reviva Pharmaceuticals Holdings | Cassava Sciences vs. Seres Therapeutics |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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