Correlation Between AmTrust Financial and Sellas Life
Can any of the company-specific risk be diversified away by investing in both AmTrust Financial and Sellas Life 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 AmTrust Financial and Sellas Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AmTrust Financial Services and Sellas Life Sciences, you can compare the effects of market volatilities on AmTrust Financial and Sellas Life 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 AmTrust Financial with a short position of Sellas Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of AmTrust Financial and Sellas Life.
Diversification Opportunities for AmTrust Financial and Sellas Life
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between AmTrust and Sellas is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding AmTrust Financial Services and Sellas Life Sciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sellas Life Sciences and AmTrust Financial 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 AmTrust Financial Services are associated (or correlated) with Sellas Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sellas Life Sciences has no effect on the direction of AmTrust Financial i.e., AmTrust Financial and Sellas Life go up and down completely randomly.
Pair Corralation between AmTrust Financial and Sellas Life
Assuming the 90 days horizon AmTrust Financial Services is expected to generate 0.55 times more return on investment than Sellas Life. However, AmTrust Financial Services is 1.82 times less risky than Sellas Life. It trades about 0.05 of its potential returns per unit of risk. Sellas Life Sciences is currently generating about -0.04 per unit of risk. If you would invest 1,273 in AmTrust Financial Services on September 23, 2024 and sell it today you would earn a total of 122.00 from holding AmTrust Financial Services or generate 9.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AmTrust Financial Services vs. Sellas Life Sciences
Performance |
Timeline |
AmTrust Financial |
Sellas Life Sciences |
AmTrust Financial and Sellas Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AmTrust Financial and Sellas Life
The main advantage of trading using opposite AmTrust Financial and Sellas Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AmTrust Financial position performs unexpectedly, Sellas Life 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 Sellas Life will offset losses from the drop in Sellas Life's long position.AmTrust Financial vs. AmTrust Financial Services | AmTrust Financial vs. AmTrust Financial Services | AmTrust Financial vs. AmTrust Financial Services | AmTrust Financial vs. AmTrust Financial Services |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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