Correlation Between Shell PLC and Koninklijke Ahold
Can any of the company-specific risk be diversified away by investing in both Shell PLC and Koninklijke Ahold 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 Shell PLC and Koninklijke Ahold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shell PLC and Koninklijke Ahold Delhaize, you can compare the effects of market volatilities on Shell PLC and Koninklijke Ahold 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 Shell PLC with a short position of Koninklijke Ahold. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shell PLC and Koninklijke Ahold.
Diversification Opportunities for Shell PLC and Koninklijke Ahold
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Shell and Koninklijke is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Shell PLC and Koninklijke Ahold Delhaize in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koninklijke Ahold and Shell PLC 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 Shell PLC are associated (or correlated) with Koninklijke Ahold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koninklijke Ahold has no effect on the direction of Shell PLC i.e., Shell PLC and Koninklijke Ahold go up and down completely randomly.
Pair Corralation between Shell PLC and Koninklijke Ahold
Assuming the 90 days trading horizon Shell PLC is expected to under-perform the Koninklijke Ahold. In addition to that, Shell PLC is 1.2 times more volatile than Koninklijke Ahold Delhaize. It trades about -0.03 of its total potential returns per unit of risk. Koninklijke Ahold Delhaize is currently generating about 0.06 per unit of volatility. If you would invest 3,047 in Koninklijke Ahold Delhaize on September 20, 2024 and sell it today you would earn a total of 117.00 from holding Koninklijke Ahold Delhaize or generate 3.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shell PLC vs. Koninklijke Ahold Delhaize
Performance |
Timeline |
Shell PLC |
Koninklijke Ahold |
Shell PLC and Koninklijke Ahold Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shell PLC and Koninklijke Ahold
The main advantage of trading using opposite Shell PLC and Koninklijke Ahold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shell PLC position performs unexpectedly, Koninklijke Ahold 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 Koninklijke Ahold will offset losses from the drop in Koninklijke Ahold's long position.Shell PLC vs. Koninklijke Ahold Delhaize | Shell PLC vs. Unilever PLC | Shell PLC vs. ING Groep NV | Shell PLC vs. ASML Holding NV |
Koninklijke Ahold vs. Unilever PLC | Koninklijke Ahold vs. Koninklijke Philips NV | Koninklijke Ahold vs. NN Group NV | Koninklijke Ahold vs. ING Groep NV |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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