Correlation Between PUMA SE and Dr Martens
Can any of the company-specific risk be diversified away by investing in both PUMA SE and Dr Martens 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 PUMA SE and Dr Martens into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PUMA SE and Dr Martens plc, you can compare the effects of market volatilities on PUMA SE and Dr Martens 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 PUMA SE with a short position of Dr Martens. Check out your portfolio center. Please also check ongoing floating volatility patterns of PUMA SE and Dr Martens.
Diversification Opportunities for PUMA SE and Dr Martens
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between PUMA and DOCMF is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding PUMA SE and Dr Martens plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dr Martens plc and PUMA SE 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 PUMA SE are associated (or correlated) with Dr Martens. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dr Martens plc has no effect on the direction of PUMA SE i.e., PUMA SE and Dr Martens go up and down completely randomly.
Pair Corralation between PUMA SE and Dr Martens
Assuming the 90 days horizon PUMA SE is expected to generate 1.2 times more return on investment than Dr Martens. However, PUMA SE is 1.2 times more volatile than Dr Martens plc. It trades about 0.19 of its potential returns per unit of risk. Dr Martens plc is currently generating about -0.02 per unit of risk. If you would invest 433.00 in PUMA SE on August 25, 2024 and sell it today you would earn a total of 40.00 from holding PUMA SE or generate 9.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PUMA SE vs. Dr Martens plc
Performance |
Timeline |
PUMA SE |
Dr Martens plc |
PUMA SE and Dr Martens Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PUMA SE and Dr Martens
The main advantage of trading using opposite PUMA SE and Dr Martens positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PUMA SE position performs unexpectedly, Dr Martens 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 Dr Martens will offset losses from the drop in Dr Martens' long position.The idea behind PUMA SE and Dr Martens plc pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Dr Martens vs. American Rebel Holdings | Dr Martens vs. Designer Brands | Dr Martens vs. Renewable Energy and | Dr Martens vs. Crocs Inc |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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