Correlation Between Stoke Therapeutics and IGM Biosciences
Can any of the company-specific risk be diversified away by investing in both Stoke Therapeutics and IGM Biosciences 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 IGM Biosciences into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stoke Therapeutics and IGM Biosciences, you can compare the effects of market volatilities on Stoke Therapeutics and IGM Biosciences 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 IGM Biosciences. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stoke Therapeutics and IGM Biosciences.
Diversification Opportunities for Stoke Therapeutics and IGM Biosciences
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Stoke and IGM is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Stoke Therapeutics and IGM Biosciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IGM Biosciences 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 IGM Biosciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IGM Biosciences has no effect on the direction of Stoke Therapeutics i.e., Stoke Therapeutics and IGM Biosciences go up and down completely randomly.
Pair Corralation between Stoke Therapeutics and IGM Biosciences
Given the investment horizon of 90 days Stoke Therapeutics is expected to generate 0.34 times more return on investment than IGM Biosciences. However, Stoke Therapeutics is 2.93 times less risky than IGM Biosciences. It trades about 0.0 of its potential returns per unit of risk. IGM Biosciences is currently generating about -0.31 per unit of risk. If you would invest 1,127 in Stoke Therapeutics on November 2, 2024 and sell it today you would lose (28.00) from holding Stoke Therapeutics or give up 2.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Stoke Therapeutics vs. IGM Biosciences
Performance |
Timeline |
Stoke Therapeutics |
IGM Biosciences |
Stoke Therapeutics and IGM Biosciences Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stoke Therapeutics and IGM Biosciences
The main advantage of trading using opposite Stoke Therapeutics and IGM Biosciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stoke Therapeutics position performs unexpectedly, IGM Biosciences 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 IGM Biosciences will offset losses from the drop in IGM Biosciences' long position.Stoke Therapeutics vs. Surrozen | Stoke Therapeutics vs. Armata Pharmaceuticals | Stoke Therapeutics vs. Pasithea Therapeutics Corp | Stoke Therapeutics vs. Aditxt Inc |
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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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