Correlation Between SIGA Technologies and Lantheus Holdings
Can any of the company-specific risk be diversified away by investing in both SIGA Technologies and Lantheus Holdings 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 SIGA Technologies and Lantheus Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SIGA Technologies and Lantheus Holdings, you can compare the effects of market volatilities on SIGA Technologies and Lantheus Holdings 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 SIGA Technologies with a short position of Lantheus Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of SIGA Technologies and Lantheus Holdings.
Diversification Opportunities for SIGA Technologies and Lantheus Holdings
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between SIGA and Lantheus is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding SIGA Technologies and Lantheus Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lantheus Holdings and SIGA Technologies 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 SIGA Technologies are associated (or correlated) with Lantheus Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lantheus Holdings has no effect on the direction of SIGA Technologies i.e., SIGA Technologies and Lantheus Holdings go up and down completely randomly.
Pair Corralation between SIGA Technologies and Lantheus Holdings
Given the investment horizon of 90 days SIGA Technologies is expected to generate 1.02 times less return on investment than Lantheus Holdings. In addition to that, SIGA Technologies is 1.08 times more volatile than Lantheus Holdings. It trades about 0.03 of its total potential returns per unit of risk. Lantheus Holdings is currently generating about 0.03 per unit of volatility. If you would invest 7,075 in Lantheus Holdings on December 1, 2024 and sell it today you would earn a total of 2,307 from holding Lantheus Holdings or generate 32.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SIGA Technologies vs. Lantheus Holdings
Performance |
Timeline |
SIGA Technologies |
Lantheus Holdings |
SIGA Technologies and Lantheus Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SIGA Technologies and Lantheus Holdings
The main advantage of trading using opposite SIGA Technologies and Lantheus Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SIGA Technologies position performs unexpectedly, Lantheus Holdings 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 Lantheus Holdings will offset losses from the drop in Lantheus Holdings' long position.SIGA Technologies vs. Elanco Animal Health | SIGA Technologies vs. Esperion Therapeutics | SIGA Technologies vs. China Pharma Holdings | SIGA Technologies vs. Halo Collective |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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