Correlation Between Christian Dior and Stradim Espace
Can any of the company-specific risk be diversified away by investing in both Christian Dior and Stradim Espace 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 Christian Dior and Stradim Espace into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Christian Dior SE and Stradim Espace Finances, you can compare the effects of market volatilities on Christian Dior and Stradim Espace 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 Christian Dior with a short position of Stradim Espace. Check out your portfolio center. Please also check ongoing floating volatility patterns of Christian Dior and Stradim Espace.
Diversification Opportunities for Christian Dior and Stradim Espace
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Christian and Stradim is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Christian Dior SE and Stradim Espace Finances in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stradim Espace Finances and Christian Dior 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 Christian Dior SE are associated (or correlated) with Stradim Espace. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stradim Espace Finances has no effect on the direction of Christian Dior i.e., Christian Dior and Stradim Espace go up and down completely randomly.
Pair Corralation between Christian Dior and Stradim Espace
Assuming the 90 days trading horizon Christian Dior is expected to generate 1.16 times less return on investment than Stradim Espace. But when comparing it to its historical volatility, Christian Dior SE is 3.21 times less risky than Stradim Espace. It trades about 0.29 of its potential returns per unit of risk. Stradim Espace Finances is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 515.00 in Stradim Espace Finances on September 23, 2024 and sell it today you would earn a total of 45.00 from holding Stradim Espace Finances or generate 8.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Christian Dior SE vs. Stradim Espace Finances
Performance |
Timeline |
Christian Dior SE |
Stradim Espace Finances |
Christian Dior and Stradim Espace Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Christian Dior and Stradim Espace
The main advantage of trading using opposite Christian Dior and Stradim Espace positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Christian Dior position performs unexpectedly, Stradim Espace 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 Stradim Espace will offset losses from the drop in Stradim Espace's long position.Christian Dior vs. Hermes International SCA | Christian Dior vs. Kering SA | Christian Dior vs. LOreal SA | Christian Dior vs. Pernod Ricard SA |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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