Correlation Between BRP and Green Brick
Can any of the company-specific risk be diversified away by investing in both BRP 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 BRP and Green Brick into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BRP Inc and Green Brick Partners, you can compare the effects of market volatilities on BRP 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 BRP with a short position of Green Brick. Check out your portfolio center. Please also check ongoing floating volatility patterns of BRP and Green Brick.
Diversification Opportunities for BRP and Green Brick
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BRP and Green is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding BRP Inc 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 BRP 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 BRP Inc 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 BRP i.e., BRP and Green Brick go up and down completely randomly.
Pair Corralation between BRP and Green Brick
Given the investment horizon of 90 days BRP Inc is expected to generate 0.92 times more return on investment than Green Brick. However, BRP Inc is 1.09 times less risky than Green Brick. It trades about -0.09 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 6,059 in BRP Inc on September 22, 2024 and sell it today you would lose (800.00) from holding BRP Inc or give up 13.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BRP Inc vs. Green Brick Partners
Performance |
Timeline |
BRP Inc |
Green Brick Partners |
BRP and Green Brick Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BRP and Green Brick
The main advantage of trading using opposite BRP and Green Brick positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BRP 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.The idea behind BRP Inc and Green Brick Partners pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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