Correlation Between Lithia Motors and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Lithia Motors and Dow Jones 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 Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lithia Motors and Dow Jones Industrial, you can compare the effects of market volatilities on Lithia Motors and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lithia Motors and Dow Jones.
Diversification Opportunities for Lithia Motors and Dow Jones
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Lithia and Dow is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Lithia Motors and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Lithia Motors i.e., Lithia Motors and Dow Jones go up and down completely randomly.
Pair Corralation between Lithia Motors and Dow Jones
Assuming the 90 days horizon Lithia Motors is expected to under-perform the Dow Jones. In addition to that, Lithia Motors is 2.98 times more volatile than Dow Jones Industrial. It trades about -0.02 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.05 per unit of volatility. If you would invest 4,391,098 in Dow Jones Industrial on September 13, 2024 and sell it today you would earn a total of 23,758 from holding Dow Jones Industrial or generate 0.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Lithia Motors vs. Dow Jones Industrial
Performance |
Timeline |
Lithia Motors and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Lithia Motors
Pair trading matchups for Lithia Motors
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Lithia Motors and Dow Jones
The main advantage of trading using opposite Lithia Motors and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lithia Motors position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Lithia Motors vs. Superior Plus Corp | Lithia Motors vs. SIVERS SEMICONDUCTORS AB | Lithia Motors vs. Norsk Hydro ASA | Lithia Motors vs. Reliance Steel Aluminum |
Dow Jones vs. ChampionX | Dow Jones vs. Highway Holdings Limited | Dow Jones vs. Westinghouse Air Brake | Dow Jones vs. Cementos Pacasmayo SAA |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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