Correlation Between Casino Guichard and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Casino Guichard 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 Casino Guichard and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Casino Guichard Perrachon and Dow Jones Industrial, you can compare the effects of market volatilities on Casino Guichard 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 Casino Guichard with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Casino Guichard and Dow Jones.
Diversification Opportunities for Casino Guichard and Dow Jones
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Casino and Dow is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding Casino Guichard Perrachon 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 Casino Guichard 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 Casino Guichard Perrachon 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 Casino Guichard i.e., Casino Guichard and Dow Jones go up and down completely randomly.
Pair Corralation between Casino Guichard and Dow Jones
Assuming the 90 days horizon Casino Guichard Perrachon is expected to under-perform the Dow Jones. In addition to that, Casino Guichard is 7.17 times more volatile than Dow Jones Industrial. It trades about -0.29 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.19 per unit of volatility. If you would invest 4,097,497 in Dow Jones Industrial on September 4, 2024 and sell it today you would earn a total of 373,056 from holding Dow Jones Industrial or generate 9.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
Casino Guichard Perrachon vs. Dow Jones Industrial
Performance |
Timeline |
Casino Guichard and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Casino Guichard Perrachon
Pair trading matchups for Casino Guichard
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Casino Guichard and Dow Jones
The main advantage of trading using opposite Casino Guichard and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Casino Guichard 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.Casino Guichard vs. Danone SA | Casino Guichard vs. Renault SA | Casino Guichard vs. AXA SA | Casino Guichard vs. Compagnie de Saint Gobain |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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