Correlation Between Ford and DSV Panalpina
Can any of the company-specific risk be diversified away by investing in both Ford and DSV Panalpina 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 DSV Panalpina into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and DSV Panalpina AS, you can compare the effects of market volatilities on Ford and DSV Panalpina 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 DSV Panalpina. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and DSV Panalpina.
Diversification Opportunities for Ford and DSV Panalpina
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ford and DSV is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and DSV Panalpina AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DSV Panalpina AS 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 DSV Panalpina. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DSV Panalpina AS has no effect on the direction of Ford i.e., Ford and DSV Panalpina go up and down completely randomly.
Pair Corralation between Ford and DSV Panalpina
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.25 times more return on investment than DSV Panalpina. However, Ford is 1.25 times more volatile than DSV Panalpina AS. It trades about 0.25 of its potential returns per unit of risk. DSV Panalpina AS is currently generating about -0.13 per unit of risk. If you would invest 1,008 in Ford Motor on September 2, 2024 and sell it today you would earn a total of 105.00 from holding Ford Motor or generate 10.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. DSV Panalpina AS
Performance |
Timeline |
Ford Motor |
DSV Panalpina AS |
Ford and DSV Panalpina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and DSV Panalpina
The main advantage of trading using opposite Ford and DSV Panalpina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, DSV Panalpina 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 DSV Panalpina will offset losses from the drop in DSV Panalpina's long position.The idea behind Ford Motor and DSV Panalpina AS 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.DSV Panalpina vs. United Parcel Service | DSV Panalpina vs. FedEx | DSV Panalpina vs. GXO Logistics | DSV Panalpina vs. JB Hunt Transport |
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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