Correlation Between NYSE Composite and Tekla Healthcare
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Tekla Healthcare 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 NYSE Composite and Tekla Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Tekla Healthcare Opportunities, you can compare the effects of market volatilities on NYSE Composite and Tekla Healthcare 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 NYSE Composite with a short position of Tekla Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Tekla Healthcare.
Diversification Opportunities for NYSE Composite and Tekla Healthcare
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between NYSE and Tekla is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Tekla Healthcare Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tekla Healthcare Opp and NYSE Composite 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 NYSE Composite are associated (or correlated) with Tekla Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tekla Healthcare Opp has no effect on the direction of NYSE Composite i.e., NYSE Composite and Tekla Healthcare go up and down completely randomly.
Pair Corralation between NYSE Composite and Tekla Healthcare
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.52 times more return on investment than Tekla Healthcare. However, NYSE Composite is 1.93 times less risky than Tekla Healthcare. It trades about 0.18 of its potential returns per unit of risk. Tekla Healthcare Opportunities is currently generating about -0.32 per unit of risk. If you would invest 1,959,424 in NYSE Composite on August 24, 2024 and sell it today you would earn a total of 52,921 from holding NYSE Composite or generate 2.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Tekla Healthcare Opportunities
Performance |
| Timeline |
NYSE Composite and Tekla Healthcare Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Tekla Healthcare Opportunities
Pair trading matchups for Tekla Healthcare
Pair Trading with NYSE Composite and Tekla Healthcare
The main advantage of trading using opposite NYSE Composite and Tekla Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Tekla Healthcare 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 Tekla Healthcare will offset losses from the drop in Tekla Healthcare's long position.| NYSE Composite vs. Awilco Drilling PLC | NYSE Composite vs. AKITA Drilling | NYSE Composite vs. SunOpta | NYSE Composite vs. Delek Drilling |
| Tekla Healthcare vs. MFS Investment Grade | Tekla Healthcare vs. Eaton Vance National | Tekla Healthcare vs. Blackrock Muniyield Quality | Tekla Healthcare vs. Munivest Fund |
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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