Correlation Between CAC Consumer and Dow Jones
Can any of the company-specific risk be diversified away by investing in both CAC Consumer 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 CAC Consumer and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CAC Consumer Goods and Dow Jones Industrial, you can compare the effects of market volatilities on CAC Consumer 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 CAC Consumer with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of CAC Consumer and Dow Jones.
Diversification Opportunities for CAC Consumer and Dow Jones
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CAC and Dow is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding CAC Consumer Goods 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 CAC Consumer 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 CAC Consumer Goods 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 CAC Consumer i.e., CAC Consumer and Dow Jones go up and down completely randomly.
Pair Corralation between CAC Consumer and Dow Jones
Assuming the 90 days trading horizon CAC Consumer Goods is expected to generate 1.43 times more return on investment than Dow Jones. However, CAC Consumer is 1.43 times more volatile than Dow Jones Industrial. It trades about 0.26 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.23 per unit of risk. If you would invest 467,774 in CAC Consumer Goods on September 27, 2024 and sell it today you would earn a total of 27,739 from holding CAC Consumer Goods or generate 5.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
CAC Consumer Goods vs. Dow Jones Industrial
Performance |
Timeline |
CAC Consumer and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
CAC Consumer Goods
Pair trading matchups for CAC Consumer
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with CAC Consumer and Dow Jones
The main advantage of trading using opposite CAC Consumer and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CAC Consumer 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.CAC Consumer vs. Diagnostic Medical Systems | CAC Consumer vs. Invibes Advertising NV | CAC Consumer vs. Lexibook Linguistic Electronic | CAC Consumer vs. Kaufman Et Broad |
Dow Jones vs. 51Talk Online Education | Dow Jones vs. World Houseware Limited | Dow Jones vs. Beauty Health Co | Dow Jones vs. Acme United |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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