Correlation Between Lithia Motors and Goosehead Insurance
Can any of the company-specific risk be diversified away by investing in both Lithia Motors 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 Lithia Motors and Goosehead Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lithia Motors and Goosehead Insurance, you can compare the effects of market volatilities on Lithia Motors 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 Lithia Motors with a short position of Goosehead Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lithia Motors and Goosehead Insurance.
Diversification Opportunities for Lithia Motors and Goosehead Insurance
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lithia and Goosehead is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Lithia Motors and Goosehead Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goosehead Insurance and Lithia Motors 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 Lithia Motors 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 Lithia Motors i.e., Lithia Motors and Goosehead Insurance go up and down completely randomly.
Pair Corralation between Lithia Motors and Goosehead Insurance
Considering the 90-day investment horizon Lithia Motors is expected to under-perform the Goosehead Insurance. But the stock apears to be less risky and, when comparing its historical volatility, Lithia Motors is 1.57 times less risky than Goosehead Insurance. The stock trades about -0.12 of its potential returns per unit of risk. The Goosehead Insurance is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 10,050 in Goosehead Insurance on December 20, 2024 and sell it today you would earn a total of 1,400 from holding Goosehead Insurance or generate 13.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lithia Motors vs. Goosehead Insurance
Performance |
Timeline |
Lithia Motors |
Goosehead Insurance |
Lithia Motors and Goosehead Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lithia Motors and Goosehead Insurance
The main advantage of trading using opposite Lithia Motors and Goosehead Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lithia Motors 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.Lithia Motors vs. Sonic Automotive | Lithia Motors vs. AutoNation | Lithia Motors vs. Asbury Automotive Group | Lithia Motors vs. Penske Automotive Group |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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