Correlation Between Kura Oncology and Sarepta Therapeutics
Can any of the company-specific risk be diversified away by investing in both Kura Oncology and Sarepta Therapeutics 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 Kura Oncology and Sarepta Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kura Oncology and Sarepta Therapeutics, you can compare the effects of market volatilities on Kura Oncology and Sarepta Therapeutics 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 Kura Oncology with a short position of Sarepta Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kura Oncology and Sarepta Therapeutics.
Diversification Opportunities for Kura Oncology and Sarepta Therapeutics
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kura and Sarepta is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Kura Oncology and Sarepta Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sarepta Therapeutics and Kura Oncology 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 Kura Oncology are associated (or correlated) with Sarepta Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sarepta Therapeutics has no effect on the direction of Kura Oncology i.e., Kura Oncology and Sarepta Therapeutics go up and down completely randomly.
Pair Corralation between Kura Oncology and Sarepta Therapeutics
Given the investment horizon of 90 days Kura Oncology is expected to under-perform the Sarepta Therapeutics. In addition to that, Kura Oncology is 2.03 times more volatile than Sarepta Therapeutics. It trades about -0.15 of its total potential returns per unit of risk. Sarepta Therapeutics is currently generating about -0.03 per unit of volatility. If you would invest 13,891 in Sarepta Therapeutics on August 28, 2024 and sell it today you would lose (841.00) from holding Sarepta Therapeutics or give up 6.05% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kura Oncology vs. Sarepta Therapeutics
Performance |
| Timeline |
| Kura Oncology |
| Sarepta Therapeutics |
Kura Oncology and Sarepta Therapeutics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kura Oncology and Sarepta Therapeutics
The main advantage of trading using opposite Kura Oncology and Sarepta Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kura Oncology position performs unexpectedly, Sarepta Therapeutics 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 Sarepta Therapeutics will offset losses from the drop in Sarepta Therapeutics' long position.| Kura Oncology vs. Eliem Therapeutics | Kura Oncology vs. Scpharmaceuticals | Kura Oncology vs. Milestone Pharmaceuticals | Kura Oncology vs. Seres Therapeutics |
| Sarepta Therapeutics vs. Krystal Biotech | Sarepta Therapeutics vs. PTC Therapeutics | Sarepta Therapeutics vs. Iovance Biotherapeutics | Sarepta Therapeutics vs. Madrigal Pharmaceuticals |
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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