Correlation Between Oncology Pharma and Keros Therapeutics
Can any of the company-specific risk be diversified away by investing in both Oncology Pharma and Keros 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 Oncology Pharma and Keros Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oncology Pharma and Keros Therapeutics, you can compare the effects of market volatilities on Oncology Pharma and Keros 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 Oncology Pharma with a short position of Keros Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oncology Pharma and Keros Therapeutics.
Diversification Opportunities for Oncology Pharma and Keros Therapeutics
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Oncology and Keros is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Oncology Pharma and Keros Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Keros Therapeutics and Oncology Pharma 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 Oncology Pharma are associated (or correlated) with Keros Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Keros Therapeutics has no effect on the direction of Oncology Pharma i.e., Oncology Pharma and Keros Therapeutics go up and down completely randomly.
Pair Corralation between Oncology Pharma and Keros Therapeutics
Given the investment horizon of 90 days Oncology Pharma is expected to generate 100.24 times more return on investment than Keros Therapeutics. However, Oncology Pharma is 100.24 times more volatile than Keros Therapeutics. It trades about 0.29 of its potential returns per unit of risk. Keros Therapeutics is currently generating about -0.04 per unit of risk. If you would invest 0.01 in Oncology Pharma on September 2, 2024 and sell it today you would earn a total of 0.00 from holding Oncology Pharma or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Oncology Pharma vs. Keros Therapeutics
Performance |
Timeline |
Oncology Pharma |
Keros Therapeutics |
Oncology Pharma and Keros Therapeutics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oncology Pharma and Keros Therapeutics
The main advantage of trading using opposite Oncology Pharma and Keros Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oncology Pharma position performs unexpectedly, Keros 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 Keros Therapeutics will offset losses from the drop in Keros Therapeutics' long position.Oncology Pharma vs. Regen BioPharma | Oncology Pharma vs. Regen BioPharma | Oncology Pharma vs. Therapeutic Solutions International | Oncology Pharma vs. Alpha Cognition |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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