Correlation Between GM and Tri Pointe
Can any of the company-specific risk be diversified away by investing in both GM and Tri Pointe 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 GM and Tri Pointe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Tri Pointe Homes, you can compare the effects of market volatilities on GM and Tri Pointe 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 GM with a short position of Tri Pointe. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Tri Pointe.
Diversification Opportunities for GM and Tri Pointe
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Tri is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Tri Pointe Homes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tri Pointe Homes and GM 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 General Motors are associated (or correlated) with Tri Pointe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tri Pointe Homes has no effect on the direction of GM i.e., GM and Tri Pointe go up and down completely randomly.
Pair Corralation between GM and Tri Pointe
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.05 times more return on investment than Tri Pointe. However, GM is 1.05 times more volatile than Tri Pointe Homes. It trades about -0.01 of its potential returns per unit of risk. Tri Pointe Homes is currently generating about -0.12 per unit of risk. If you would invest 5,404 in General Motors on December 26, 2024 and sell it today you would lose (145.00) from holding General Motors or give up 2.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.36% |
Values | Daily Returns |
General Motors vs. Tri Pointe Homes
Performance |
Timeline |
General Motors |
Tri Pointe Homes |
GM and Tri Pointe Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Tri Pointe
The main advantage of trading using opposite GM and Tri Pointe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Tri Pointe 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 Tri Pointe will offset losses from the drop in Tri Pointe's long position.The idea behind General Motors and Tri Pointe Homes 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.Tri Pointe vs. Scandinavian Tobacco Group | Tri Pointe vs. VIVA WINE GROUP | Tri Pointe vs. Darden Restaurants | Tri Pointe vs. BRIT AMER TOBACCO |
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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