Correlation Between CarsalesCom and Goosehead Insurance
Can any of the company-specific risk be diversified away by investing in both CarsalesCom and Goosehead Insurance 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 CarsalesCom and Goosehead Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CarsalesCom and Goosehead Insurance, you can compare the effects of market volatilities on CarsalesCom and Goosehead Insurance 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 CarsalesCom with a short position of Goosehead Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of CarsalesCom and Goosehead Insurance.
Diversification Opportunities for CarsalesCom and Goosehead Insurance
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between CarsalesCom and Goosehead is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding CarsalesCom and Goosehead Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goosehead Insurance and CarsalesCom 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 CarsalesCom are associated (or correlated) with Goosehead Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goosehead Insurance has no effect on the direction of CarsalesCom i.e., CarsalesCom and Goosehead Insurance go up and down completely randomly.
Pair Corralation between CarsalesCom and Goosehead Insurance
Assuming the 90 days horizon CarsalesCom is expected to generate 1.36 times less return on investment than Goosehead Insurance. But when comparing it to its historical volatility, CarsalesCom is 1.63 times less risky than Goosehead Insurance. It trades about 0.48 of its potential returns per unit of risk. Goosehead Insurance is currently generating about 0.4 of returns per unit of risk over similar time horizon. If you would invest 10,000 in Goosehead Insurance on September 1, 2024 and sell it today you would earn a total of 1,960 from holding Goosehead Insurance or generate 19.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
CarsalesCom vs. Goosehead Insurance
Performance |
Timeline |
CarsalesCom |
Goosehead Insurance |
CarsalesCom and Goosehead Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CarsalesCom and Goosehead Insurance
The main advantage of trading using opposite CarsalesCom and Goosehead Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CarsalesCom position performs unexpectedly, Goosehead Insurance 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 Goosehead Insurance will offset losses from the drop in Goosehead Insurance's long position.CarsalesCom vs. Alphabet Class A | CarsalesCom vs. Alphabet Class A | CarsalesCom vs. Meta Platforms | CarsalesCom vs. Tencent 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 Global Correlations module to find global opportunities by holding instruments from different markets.
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