Correlation Between Tekla Life and Flaherty Crumrine
Can any of the company-specific risk be diversified away by investing in both Tekla Life and Flaherty Crumrine 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 Tekla Life and Flaherty Crumrine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tekla Life Sciences and Flaherty Crumrine Total, you can compare the effects of market volatilities on Tekla Life and Flaherty Crumrine 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 Tekla Life with a short position of Flaherty Crumrine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tekla Life and Flaherty Crumrine.
Diversification Opportunities for Tekla Life and Flaherty Crumrine
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Tekla and Flaherty is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Tekla Life Sciences and Flaherty Crumrine Total in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flaherty Crumrine Total and Tekla 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 Tekla Life Sciences are associated (or correlated) with Flaherty Crumrine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flaherty Crumrine Total has no effect on the direction of Tekla Life i.e., Tekla Life and Flaherty Crumrine go up and down completely randomly.
Pair Corralation between Tekla Life and Flaherty Crumrine
Considering the 90-day investment horizon Tekla Life Sciences is expected to under-perform the Flaherty Crumrine. In addition to that, Tekla Life is 2.18 times more volatile than Flaherty Crumrine Total. It trades about -0.01 of its total potential returns per unit of risk. Flaherty Crumrine Total is currently generating about 0.04 per unit of volatility. If you would invest 1,649 in Flaherty Crumrine Total on September 2, 2024 and sell it today you would earn a total of 23.00 from holding Flaherty Crumrine Total or generate 1.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tekla Life Sciences vs. Flaherty Crumrine Total
Performance |
Timeline |
Tekla Life Sciences |
Flaherty Crumrine Total |
Tekla Life and Flaherty Crumrine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tekla Life and Flaherty Crumrine
The main advantage of trading using opposite Tekla Life and Flaherty Crumrine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tekla Life position performs unexpectedly, Flaherty Crumrine 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 Flaherty Crumrine will offset losses from the drop in Flaherty Crumrine's long position.Tekla Life vs. Tekla World Healthcare | Tekla Life vs. Tekla Healthcare Opportunities | Tekla Life vs. Royce Value Closed | Tekla Life vs. John Hancock Financial |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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