Correlation Between Stoke Therapeutics and Teva Pharma
Can any of the company-specific risk be diversified away by investing in both Stoke Therapeutics and Teva Pharma 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 Stoke Therapeutics and Teva Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stoke Therapeutics and Teva Pharma Industries, you can compare the effects of market volatilities on Stoke Therapeutics and Teva Pharma 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 Stoke Therapeutics with a short position of Teva Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stoke Therapeutics and Teva Pharma.
Diversification Opportunities for Stoke Therapeutics and Teva Pharma
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Stoke and Teva is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Stoke Therapeutics and Teva Pharma Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Teva Pharma Industries and Stoke 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 Stoke Therapeutics are associated (or correlated) with Teva Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Teva Pharma Industries has no effect on the direction of Stoke Therapeutics i.e., Stoke Therapeutics and Teva Pharma go up and down completely randomly.
Pair Corralation between Stoke Therapeutics and Teva Pharma
Given the investment horizon of 90 days Stoke Therapeutics is expected to generate 1.15 times more return on investment than Teva Pharma. However, Stoke Therapeutics is 1.15 times more volatile than Teva Pharma Industries. It trades about 0.45 of its potential returns per unit of risk. Teva Pharma Industries is currently generating about -0.29 per unit of risk. If you would invest 896.00 in Stoke Therapeutics on November 9, 2024 and sell it today you would earn a total of 378.00 from holding Stoke Therapeutics or generate 42.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Stoke Therapeutics vs. Teva Pharma Industries
Performance |
Timeline |
Stoke Therapeutics |
Teva Pharma Industries |
Stoke Therapeutics and Teva Pharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stoke Therapeutics and Teva Pharma
The main advantage of trading using opposite Stoke Therapeutics and Teva Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stoke Therapeutics position performs unexpectedly, Teva Pharma 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 Teva Pharma will offset losses from the drop in Teva Pharma's long position.Stoke Therapeutics vs. Adaptimmune Therapeutics Plc | Stoke Therapeutics vs. Black Diamond Therapeutics | Stoke Therapeutics vs. Relay Therapeutics | Stoke Therapeutics vs. Pliant Therapeutics |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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