Correlation Between Goosehead Insurance and Whirlpool
Can any of the company-specific risk be diversified away by investing in both Goosehead Insurance and Whirlpool 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 Goosehead Insurance and Whirlpool into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goosehead Insurance and Whirlpool, you can compare the effects of market volatilities on Goosehead Insurance and Whirlpool 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 Goosehead Insurance with a short position of Whirlpool. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goosehead Insurance and Whirlpool.
Diversification Opportunities for Goosehead Insurance and Whirlpool
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Goosehead and Whirlpool is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Goosehead Insurance and Whirlpool in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Whirlpool and Goosehead Insurance 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 Goosehead Insurance are associated (or correlated) with Whirlpool. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Whirlpool has no effect on the direction of Goosehead Insurance i.e., Goosehead Insurance and Whirlpool go up and down completely randomly.
Pair Corralation between Goosehead Insurance and Whirlpool
Assuming the 90 days trading horizon Goosehead Insurance is expected to generate 1.06 times more return on investment than Whirlpool. However, Goosehead Insurance is 1.06 times more volatile than Whirlpool. It trades about 0.23 of its potential returns per unit of risk. Whirlpool is currently generating about 0.19 per unit of risk. If you would invest 7,770 in Goosehead Insurance on September 16, 2024 and sell it today you would earn a total of 3,330 from holding Goosehead Insurance or generate 42.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.48% |
Values | Daily Returns |
Goosehead Insurance vs. Whirlpool
Performance |
Timeline |
Goosehead Insurance |
Whirlpool |
Goosehead Insurance and Whirlpool Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goosehead Insurance and Whirlpool
The main advantage of trading using opposite Goosehead Insurance and Whirlpool positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goosehead Insurance position performs unexpectedly, Whirlpool 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 Whirlpool will offset losses from the drop in Whirlpool's long position.Goosehead Insurance vs. Apple Inc | Goosehead Insurance vs. Apple Inc | Goosehead Insurance vs. Apple Inc | Goosehead Insurance vs. Apple Inc |
Whirlpool vs. Goosehead Insurance | Whirlpool vs. DXC Technology Co | Whirlpool vs. The Hanover Insurance | Whirlpool vs. HANOVER INSURANCE |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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