Correlation Between Penske Automotive and Kaixin Auto
Can any of the company-specific risk be diversified away by investing in both Penske Automotive and Kaixin Auto 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 Penske Automotive and Kaixin Auto into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Penske Automotive Group and Kaixin Auto Holdings, you can compare the effects of market volatilities on Penske Automotive and Kaixin Auto 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 Penske Automotive with a short position of Kaixin Auto. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penske Automotive and Kaixin Auto.
Diversification Opportunities for Penske Automotive and Kaixin Auto
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Penske and Kaixin is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Penske Automotive Group and Kaixin Auto Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kaixin Auto Holdings and Penske Automotive 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 Penske Automotive Group are associated (or correlated) with Kaixin Auto. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kaixin Auto Holdings has no effect on the direction of Penske Automotive i.e., Penske Automotive and Kaixin Auto go up and down completely randomly.
Pair Corralation between Penske Automotive and Kaixin Auto
Considering the 90-day investment horizon Penske Automotive Group is expected to generate 0.26 times more return on investment than Kaixin Auto. However, Penske Automotive Group is 3.82 times less risky than Kaixin Auto. It trades about 0.0 of its potential returns per unit of risk. Kaixin Auto Holdings is currently generating about -0.07 per unit of risk. If you would invest 15,577 in Penske Automotive Group on December 25, 2024 and sell it today you would lose (146.00) from holding Penske Automotive Group or give up 0.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Penske Automotive Group vs. Kaixin Auto Holdings
Performance |
Timeline |
Penske Automotive |
Kaixin Auto Holdings |
Penske Automotive and Kaixin Auto Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penske Automotive and Kaixin Auto
The main advantage of trading using opposite Penske Automotive and Kaixin Auto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penske Automotive position performs unexpectedly, Kaixin Auto 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 Kaixin Auto will offset losses from the drop in Kaixin Auto's long position.Penske Automotive vs. Group 1 Automotive | Penske Automotive vs. Lithia Motors | Penske Automotive vs. AutoNation | Penske Automotive vs. Asbury 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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