Correlation Between Haleon Plc and SIGA Technologies
Can any of the company-specific risk be diversified away by investing in both Haleon Plc and SIGA Technologies 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 Haleon Plc and SIGA Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Haleon plc and SIGA Technologies, you can compare the effects of market volatilities on Haleon Plc and SIGA Technologies 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 Haleon Plc with a short position of SIGA Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haleon Plc and SIGA Technologies.
Diversification Opportunities for Haleon Plc and SIGA Technologies
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Haleon and SIGA is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Haleon plc and SIGA Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SIGA Technologies and Haleon Plc 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 Haleon plc are associated (or correlated) with SIGA Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SIGA Technologies has no effect on the direction of Haleon Plc i.e., Haleon Plc and SIGA Technologies go up and down completely randomly.
Pair Corralation between Haleon Plc and SIGA Technologies
Considering the 90-day investment horizon Haleon plc is expected to generate 0.56 times more return on investment than SIGA Technologies. However, Haleon plc is 1.79 times less risky than SIGA Technologies. It trades about 0.06 of its potential returns per unit of risk. SIGA Technologies is currently generating about -0.03 per unit of risk. If you would invest 964.00 in Haleon plc on December 27, 2024 and sell it today you would earn a total of 48.00 from holding Haleon plc or generate 4.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Haleon plc vs. SIGA Technologies
Performance |
Timeline |
Haleon plc |
SIGA Technologies |
Haleon Plc and SIGA Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haleon Plc and SIGA Technologies
The main advantage of trading using opposite Haleon Plc and SIGA Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haleon Plc position performs unexpectedly, SIGA Technologies 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 SIGA Technologies will offset losses from the drop in SIGA Technologies' long position.Haleon Plc vs. Teva Pharma Industries | Haleon Plc vs. Bausch Health Companies | Haleon Plc vs. Zoetis Inc | Haleon Plc vs. Takeda Pharmaceutical Co |
SIGA Technologies vs. Elanco Animal Health | SIGA Technologies vs. Esperion Therapeutics | SIGA Technologies vs. China Pharma Holdings | SIGA Technologies vs. Halo Collective |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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