Correlation Between NYSE Composite and Blue Lagoon
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Blue Lagoon 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 Blue Lagoon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Blue Lagoon Resources, you can compare the effects of market volatilities on NYSE Composite and Blue Lagoon 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 Blue Lagoon. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Blue Lagoon.
Diversification Opportunities for NYSE Composite and Blue Lagoon
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between NYSE and Blue is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Blue Lagoon Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blue Lagoon Resources 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 Blue Lagoon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blue Lagoon Resources has no effect on the direction of NYSE Composite i.e., NYSE Composite and Blue Lagoon go up and down completely randomly.
Pair Corralation between NYSE Composite and Blue Lagoon
Assuming the 90 days trading horizon NYSE Composite is expected to generate 82.61 times less return on investment than Blue Lagoon. But when comparing it to its historical volatility, NYSE Composite is 13.81 times less risky than Blue Lagoon. It trades about 0.02 of its potential returns per unit of risk. Blue Lagoon Resources is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 9.90 in Blue Lagoon Resources on December 28, 2024 and sell it today you would earn a total of 9.10 from holding Blue Lagoon Resources or generate 91.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.36% |
Values | Daily Returns |
NYSE Composite vs. Blue Lagoon Resources
Performance |
Timeline |
NYSE Composite and Blue Lagoon Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Blue Lagoon Resources
Pair trading matchups for Blue Lagoon
Pair Trading with NYSE Composite and Blue Lagoon
The main advantage of trading using opposite NYSE Composite and Blue Lagoon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Blue Lagoon 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 Blue Lagoon will offset losses from the drop in Blue Lagoon's long position.NYSE Composite vs. Melco Resorts Entertainment | NYSE Composite vs. SLR Investment Corp | NYSE Composite vs. Stepstone Group | NYSE Composite vs. Greentown Management Holdings |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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