Correlation Between Dr Martens and Samsonite International
Can any of the company-specific risk be diversified away by investing in both Dr Martens and Samsonite International 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 Dr Martens and Samsonite International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dr Martens plc and Samsonite International SA, you can compare the effects of market volatilities on Dr Martens and Samsonite International 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 Dr Martens with a short position of Samsonite International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dr Martens and Samsonite International.
Diversification Opportunities for Dr Martens and Samsonite International
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between DOCMF and Samsonite is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Dr Martens plc and Samsonite International SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsonite International and Dr Martens 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 Dr Martens plc are associated (or correlated) with Samsonite International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsonite International has no effect on the direction of Dr Martens i.e., Dr Martens and Samsonite International go up and down completely randomly.
Pair Corralation between Dr Martens and Samsonite International
Assuming the 90 days horizon Dr Martens plc is expected to generate 0.92 times more return on investment than Samsonite International. However, Dr Martens plc is 1.08 times less risky than Samsonite International. It trades about 0.18 of its potential returns per unit of risk. Samsonite International SA is currently generating about 0.04 per unit of risk. If you would invest 76.00 in Dr Martens plc on May 2, 2025 and sell it today you would earn a total of 38.00 from holding Dr Martens plc or generate 50.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Dr Martens plc vs. Samsonite International SA
Performance |
Timeline |
Dr Martens plc |
Samsonite International |
Dr Martens and Samsonite International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dr Martens and Samsonite International
The main advantage of trading using opposite Dr Martens and Samsonite International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dr Martens position performs unexpectedly, Samsonite International 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 Samsonite International will offset losses from the drop in Samsonite International's long position.Dr Martens vs. American Rebel Holdings | Dr Martens vs. Designer Brands | Dr Martens vs. Renewable Energy and | Dr Martens vs. Crocs Inc |
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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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