Correlation Between AP Mller and Wilh Wilhelmsen
Can any of the company-specific risk be diversified away by investing in both AP Mller and Wilh Wilhelmsen 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 AP Mller and Wilh Wilhelmsen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AP Mller and Wilh Wilhelmsen Holding, you can compare the effects of market volatilities on AP Mller and Wilh Wilhelmsen 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 AP Mller with a short position of Wilh Wilhelmsen. Check out your portfolio center. Please also check ongoing floating volatility patterns of AP Mller and Wilh Wilhelmsen.
Diversification Opportunities for AP Mller and Wilh Wilhelmsen
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DP4A and Wilh is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding AP Mller and Wilh Wilhelmsen Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wilh Wilhelmsen Holding and AP Mller 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 AP Mller are associated (or correlated) with Wilh Wilhelmsen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wilh Wilhelmsen Holding has no effect on the direction of AP Mller i.e., AP Mller and Wilh Wilhelmsen go up and down completely randomly.
Pair Corralation between AP Mller and Wilh Wilhelmsen
Assuming the 90 days trading horizon AP Mller is expected to generate 3.66 times less return on investment than Wilh Wilhelmsen. In addition to that, AP Mller is 1.04 times more volatile than Wilh Wilhelmsen Holding. It trades about 0.02 of its total potential returns per unit of risk. Wilh Wilhelmsen Holding is currently generating about 0.09 per unit of volatility. If you would invest 791.00 in Wilh Wilhelmsen Holding on September 23, 2024 and sell it today you would earn a total of 2,369 from holding Wilh Wilhelmsen Holding or generate 299.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
AP Mller vs. Wilh Wilhelmsen Holding
Performance |
Timeline |
AP Mller |
Wilh Wilhelmsen Holding |
AP Mller and Wilh Wilhelmsen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AP Mller and Wilh Wilhelmsen
The main advantage of trading using opposite AP Mller and Wilh Wilhelmsen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AP Mller position performs unexpectedly, Wilh Wilhelmsen 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 Wilh Wilhelmsen will offset losses from the drop in Wilh Wilhelmsen's long position.AP Mller vs. AP Mller | AP Mller vs. ZIM Integrated Shipping | AP Mller vs. DFDS AS | AP Mller vs. Pacific Basin Shipping |
Wilh Wilhelmsen vs. AP Mller | Wilh Wilhelmsen vs. AP Mller | Wilh Wilhelmsen vs. ZIM Integrated Shipping | Wilh Wilhelmsen vs. DFDS AS |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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