Correlation Between Ford and Edda Wind
Can any of the company-specific risk be diversified away by investing in both Ford and Edda Wind 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 Ford and Edda Wind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Edda Wind ASA, you can compare the effects of market volatilities on Ford and Edda Wind 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 Ford with a short position of Edda Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Edda Wind.
Diversification Opportunities for Ford and Edda Wind
Significant diversification
The 3 months correlation between Ford and Edda is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Edda Wind ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Edda Wind ASA and Ford 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 Ford Motor are associated (or correlated) with Edda Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Edda Wind ASA has no effect on the direction of Ford i.e., Ford and Edda Wind go up and down completely randomly.
Pair Corralation between Ford and Edda Wind
Taking into account the 90-day investment horizon Ford Motor is expected to generate 0.98 times more return on investment than Edda Wind. However, Ford Motor is 1.02 times less risky than Edda Wind. It trades about 0.14 of its potential returns per unit of risk. Edda Wind ASA is currently generating about 0.09 per unit of risk. If you would invest 1,022 in Ford Motor on September 5, 2024 and sell it today you would earn a total of 60.00 from holding Ford Motor or generate 5.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 91.3% |
Values | Daily Returns |
Ford Motor vs. Edda Wind ASA
Performance |
Timeline |
Ford Motor |
Edda Wind ASA |
Ford and Edda Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Edda Wind
The main advantage of trading using opposite Ford and Edda Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Edda Wind 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 Edda Wind will offset losses from the drop in Edda Wind's long position.The idea behind Ford Motor and Edda Wind ASA 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.Edda Wind vs. Bien Sparebank ASA | Edda Wind vs. Clean Seas Seafood | Edda Wind vs. Goodtech | Edda Wind vs. Sogn Sparebank |
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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