Correlation Between AP Møller and Wilh Wilhelmsen
Can any of the company-specific risk be diversified away by investing in both AP Møller 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 Møller 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 Møller 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 Møller with a short position of Wilh Wilhelmsen. Check out your portfolio center. Please also check ongoing floating volatility patterns of AP Møller and Wilh Wilhelmsen.
Diversification Opportunities for AP Møller and Wilh Wilhelmsen
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DP4B and Wilh is 0.69. 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 Møller 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 Møller i.e., AP Møller and Wilh Wilhelmsen go up and down completely randomly.
Pair Corralation between AP Møller and Wilh Wilhelmsen
Assuming the 90 days trading horizon AP Møller is expected to generate 2.73 times less return on investment than Wilh Wilhelmsen. In addition to that, AP Møller is 1.1 times more volatile than Wilh Wilhelmsen Holding. It trades about 0.03 of its total potential returns per unit of risk. Wilh Wilhelmsen Holding is currently generating about 0.1 per unit of volatility. If you would invest 740.00 in Wilh Wilhelmsen Holding on September 3, 2024 and sell it today you would earn a total of 2,530 from holding Wilh Wilhelmsen Holding or generate 341.89% 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 Møller |
Wilh Wilhelmsen Holding |
AP Møller and Wilh Wilhelmsen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AP Møller and Wilh Wilhelmsen
The main advantage of trading using opposite AP Møller and Wilh Wilhelmsen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AP Møller 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 Møller vs. Thai Beverage Public | AP Møller vs. Titan Machinery | AP Møller vs. Tsingtao Brewery | AP Møller vs. BOSTON BEER A |
Wilh Wilhelmsen vs. NISSIN FOODS HLDGS | Wilh Wilhelmsen vs. TYSON FOODS A | Wilh Wilhelmsen vs. Tyson Foods | Wilh Wilhelmsen vs. PREMIER FOODS |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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