Correlation Between NYSE Composite and Green Brick
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Green Brick 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 Green Brick into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Green Brick Partners, you can compare the effects of market volatilities on NYSE Composite and Green Brick 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 Green Brick. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Green Brick.
Diversification Opportunities for NYSE Composite and Green Brick
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between NYSE and Green is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Green Brick Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green Brick Partners 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 Green Brick. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green Brick Partners has no effect on the direction of NYSE Composite i.e., NYSE Composite and Green Brick go up and down completely randomly.
Pair Corralation between NYSE Composite and Green Brick
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.26 times more return on investment than Green Brick. However, NYSE Composite is 3.78 times less risky than Green Brick. It trades about -0.04 of its potential returns per unit of risk. Green Brick Partners is currently generating about -0.21 per unit of risk. If you would invest 1,944,543 in NYSE Composite on September 22, 2024 and sell it today you would lose (32,599) from holding NYSE Composite or give up 1.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Green Brick Partners
Performance |
Timeline |
NYSE Composite and Green Brick Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Green Brick Partners
Pair trading matchups for Green Brick
Pair Trading with NYSE Composite and Green Brick
The main advantage of trading using opposite NYSE Composite and Green Brick positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Green Brick 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 Green Brick will offset losses from the drop in Green Brick's long position.NYSE Composite vs. Sweetgreen | NYSE Composite vs. Siriuspoint | NYSE Composite vs. Park Hotels Resorts | NYSE Composite vs. Kura Sushi USA |
Green Brick vs. Arhaus Inc | Green Brick vs. Floor Decor Holdings | Green Brick vs. Kingfisher plc | Green Brick vs. Haverty Furniture Companies |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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