Correlation Between Christian Dior and Swatch Group
Can any of the company-specific risk be diversified away by investing in both Christian Dior and Swatch Group 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 Swatch Group 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 Swatch Group AG, you can compare the effects of market volatilities on Christian Dior and Swatch Group 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 Swatch Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Christian Dior and Swatch Group.
Diversification Opportunities for Christian Dior and Swatch Group
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Christian and Swatch is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Christian Dior SE and Swatch Group AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Swatch Group AG 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 Swatch Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swatch Group AG has no effect on the direction of Christian Dior i.e., Christian Dior and Swatch Group go up and down completely randomly.
Pair Corralation between Christian Dior and Swatch Group
Assuming the 90 days horizon Christian Dior SE is expected to generate 1.44 times more return on investment than Swatch Group. However, Christian Dior is 1.44 times more volatile than Swatch Group AG. It trades about 0.01 of its potential returns per unit of risk. Swatch Group AG is currently generating about -0.03 per unit of risk. If you would invest 66,772 in Christian Dior SE on October 22, 2024 and sell it today you would lose (730.00) from holding Christian Dior SE or give up 1.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.64% |
Values | Daily Returns |
Christian Dior SE vs. Swatch Group AG
Performance |
Timeline |
Christian Dior SE |
Swatch Group AG |
Christian Dior and Swatch Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Christian Dior and Swatch Group
The main advantage of trading using opposite Christian Dior and Swatch Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Christian Dior position performs unexpectedly, Swatch Group 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 Swatch Group will offset losses from the drop in Swatch Group's long position.Christian Dior vs. Chow Tai Fook | Christian Dior vs. Christian Dior SE | Christian Dior vs. Kering SA | Christian Dior vs. Kering SA |
Swatch Group vs. Chow Tai Fook | Swatch Group vs. Christian Dior SE | Swatch Group vs. Kering SA | Swatch Group vs. Christian Dior SE |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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