Correlation Between Avis Budget and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Avis Budget 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 Avis Budget and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Avis Budget Group and Dow Jones Industrial, you can compare the effects of market volatilities on Avis Budget 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 Avis Budget with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Avis Budget and Dow Jones.
Diversification Opportunities for Avis Budget and Dow Jones
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Avis and Dow is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Avis Budget Group 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 Avis Budget 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 Avis Budget Group 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 Avis Budget i.e., Avis Budget and Dow Jones go up and down completely randomly.
Pair Corralation between Avis Budget and Dow Jones
Assuming the 90 days trading horizon Avis Budget Group is expected to generate 4.96 times more return on investment than Dow Jones. However, Avis Budget is 4.96 times more volatile than Dow Jones Industrial. It trades about 0.18 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of risk. If you would invest 7,041 in Avis Budget Group on September 12, 2024 and sell it today you would earn a total of 3,139 from holding Avis Budget Group or generate 44.58% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Avis Budget Group vs. Dow Jones Industrial
Performance |
| Timeline |
Avis Budget and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Avis Budget Group
Pair trading matchups for Avis Budget
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Avis Budget and Dow Jones
The main advantage of trading using opposite Avis Budget and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Avis Budget 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.| Avis Budget vs. Cornish Metals | Avis Budget vs. Lundin Mining Corp | Avis Budget vs. Atalaya Mining | Avis Budget vs. Anglesey Mining |
| 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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