Correlation Between Ford and DMG
Can any of the company-specific risk be diversified away by investing in both Ford and DMG 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 DMG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and DMG, you can compare the effects of market volatilities on Ford and DMG 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 DMG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and DMG.
Diversification Opportunities for Ford and DMG
Pay attention - limited upside
The 3 months correlation between Ford and DMG is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and DMG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DMG 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 DMG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DMG has no effect on the direction of Ford i.e., Ford and DMG go up and down completely randomly.
Pair Corralation between Ford and DMG
If you would invest 1,083 in Ford Motor on September 1, 2024 and sell it today you would earn a total of 30.00 from holding Ford Motor or generate 2.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 1.59% |
Values | Daily Returns |
Ford Motor vs. DMG
Performance |
Timeline |
Ford Motor |
DMG |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Ford and DMG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and DMG
The main advantage of trading using opposite Ford and DMG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, DMG 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 DMG will offset losses from the drop in DMG's long position.The idea behind Ford Motor and DMG 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |