Correlation Between Ford and Dollar Tree
Can any of the company-specific risk be diversified away by investing in both Ford and Dollar Tree 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 Dollar Tree into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Dollar Tree, you can compare the effects of market volatilities on Ford and Dollar Tree 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 Dollar Tree. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Dollar Tree.
Diversification Opportunities for Ford and Dollar Tree
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Dollar is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Dollar Tree in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dollar Tree 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 Dollar Tree. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dollar Tree has no effect on the direction of Ford i.e., Ford and Dollar Tree go up and down completely randomly.
Pair Corralation between Ford and Dollar Tree
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Dollar Tree. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 1.08 times less risky than Dollar Tree. The stock trades about -0.03 of its potential returns per unit of risk. The Dollar Tree is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 142,900 in Dollar Tree on September 26, 2024 and sell it today you would earn a total of 2,400 from holding Dollar Tree or generate 1.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.83% |
Values | Daily Returns |
Ford Motor vs. Dollar Tree
Performance |
Timeline |
Ford Motor |
Dollar Tree |
Ford and Dollar Tree Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Dollar Tree
The main advantage of trading using opposite Ford and Dollar Tree positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Dollar Tree 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 Dollar Tree will offset losses from the drop in Dollar Tree's long position.The idea behind Ford Motor and Dollar Tree 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.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 Global Correlations module to find global opportunities by holding instruments from different markets.
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