Correlation Between Keros Therapeutics and Traws Pharma
Can any of the company-specific risk be diversified away by investing in both Keros Therapeutics and Traws 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 Keros Therapeutics and Traws Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Keros Therapeutics and Traws Pharma, you can compare the effects of market volatilities on Keros Therapeutics and Traws 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 Keros Therapeutics with a short position of Traws Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Keros Therapeutics and Traws Pharma.
Diversification Opportunities for Keros Therapeutics and Traws Pharma
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Keros and Traws is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Keros Therapeutics and Traws Pharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Traws Pharma and Keros 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 Keros Therapeutics are associated (or correlated) with Traws Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Traws Pharma has no effect on the direction of Keros Therapeutics i.e., Keros Therapeutics and Traws Pharma go up and down completely randomly.
Pair Corralation between Keros Therapeutics and Traws Pharma
Given the investment horizon of 90 days Keros Therapeutics is expected to under-perform the Traws Pharma. But the stock apears to be less risky and, when comparing its historical volatility, Keros Therapeutics is 1.8 times less risky than Traws Pharma. The stock trades about 0.0 of its potential returns per unit of risk. The Traws Pharma is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,951 in Traws Pharma on October 4, 2024 and sell it today you would lose (1,084) from holding Traws Pharma or give up 55.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Keros Therapeutics vs. Traws Pharma
Performance |
Timeline |
Keros Therapeutics |
Traws Pharma |
Keros Therapeutics and Traws Pharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Keros Therapeutics and Traws Pharma
The main advantage of trading using opposite Keros Therapeutics and Traws Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Keros Therapeutics position performs unexpectedly, Traws 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 Traws Pharma will offset losses from the drop in Traws Pharma's long position.Keros Therapeutics vs. Ideaya Biosciences | Keros Therapeutics vs. AnaptysBio | Keros Therapeutics vs. MeiraGTx Holdings PLC | Keros Therapeutics vs. Janux 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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