Correlation Between Green Brick and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Green Brick and Dow Jones 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 Green Brick and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Green Brick Partners and Dow Jones Industrial, you can compare the effects of market volatilities on Green Brick and Dow Jones 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 Green Brick with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Green Brick and Dow Jones.
Diversification Opportunities for Green Brick and Dow Jones
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Green and Dow is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Green Brick Partners and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Green Brick 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 Green Brick Partners are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Green Brick i.e., Green Brick and Dow Jones go up and down completely randomly.
Pair Corralation between Green Brick and Dow Jones
Given the investment horizon of 90 days Green Brick Partners is expected to under-perform the Dow Jones. In addition to that, Green Brick is 3.03 times more volatile than Dow Jones Industrial. It trades about -0.21 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.04 per unit of volatility. If you would invest 4,212,465 in Dow Jones Industrial on September 22, 2024 and sell it today you would earn a total of 71,561 from holding Dow Jones Industrial or generate 1.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Green Brick Partners vs. Dow Jones Industrial
Performance |
Timeline |
Green Brick and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Green Brick Partners
Pair trading matchups for Green Brick
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Green Brick and Dow Jones
The main advantage of trading using opposite Green Brick and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Green Brick position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Green Brick vs. Arhaus Inc | Green Brick vs. Floor Decor Holdings | Green Brick vs. Kingfisher plc | Green Brick vs. Haverty Furniture Companies |
Dow Jones vs. Hurco Companies | Dow Jones vs. Sabre Corpo | Dow Jones vs. Glacier Bancorp | Dow Jones vs. Barings BDC |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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