Correlation Between Sellas Life and Predictive Oncology
Can any of the company-specific risk be diversified away by investing in both Sellas Life and Predictive Oncology 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 Sellas Life and Predictive Oncology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sellas Life Sciences and Predictive Oncology, you can compare the effects of market volatilities on Sellas Life and Predictive Oncology 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 Sellas Life with a short position of Predictive Oncology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sellas Life and Predictive Oncology.
Diversification Opportunities for Sellas Life and Predictive Oncology
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sellas and Predictive is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Sellas Life Sciences and Predictive Oncology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Predictive Oncology and Sellas Life 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 Sellas Life Sciences are associated (or correlated) with Predictive Oncology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Predictive Oncology has no effect on the direction of Sellas Life i.e., Sellas Life and Predictive Oncology go up and down completely randomly.
Pair Corralation between Sellas Life and Predictive Oncology
Considering the 90-day investment horizon Sellas Life Sciences is expected to generate 1.52 times more return on investment than Predictive Oncology. However, Sellas Life is 1.52 times more volatile than Predictive Oncology. It trades about 0.03 of its potential returns per unit of risk. Predictive Oncology is currently generating about -0.16 per unit of risk. If you would invest 162.00 in Sellas Life Sciences on May 1, 2025 and sell it today you would earn a total of 4.00 from holding Sellas Life Sciences or generate 2.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sellas Life Sciences vs. Predictive Oncology
Performance |
Timeline |
Sellas Life Sciences |
Predictive Oncology |
Sellas Life and Predictive Oncology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sellas Life and Predictive Oncology
The main advantage of trading using opposite Sellas Life and Predictive Oncology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sellas Life position performs unexpectedly, Predictive Oncology 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 Predictive Oncology will offset losses from the drop in Predictive Oncology's long position.Sellas Life vs. Greenwich Lifesciences | Sellas Life vs. Reviva Pharmaceuticals Holdings | Sellas Life vs. Immutep Ltd ADR | Sellas Life vs. Anavex Life Sciences |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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