Correlation Between Ford and MicroSectors FANG
Can any of the company-specific risk be diversified away by investing in both Ford and MicroSectors FANG 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 MicroSectors FANG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and MicroSectors FANG ETN, you can compare the effects of market volatilities on Ford and MicroSectors FANG 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 MicroSectors FANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and MicroSectors FANG.
Diversification Opportunities for Ford and MicroSectors FANG
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ford and MicroSectors is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and MicroSectors FANG ETN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MicroSectors FANG ETN 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 MicroSectors FANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MicroSectors FANG ETN has no effect on the direction of Ford i.e., Ford and MicroSectors FANG go up and down completely randomly.
Pair Corralation between Ford and MicroSectors FANG
Taking into account the 90-day investment horizon Ford Motor is expected to generate 2.07 times more return on investment than MicroSectors FANG. However, Ford is 2.07 times more volatile than MicroSectors FANG ETN. It trades about 0.1 of its potential returns per unit of risk. MicroSectors FANG ETN is currently generating about -0.04 per unit of risk. If you would invest 1,160 in Ford Motor on August 24, 2025 and sell it today you would earn a total of 123.00 from holding Ford Motor or generate 10.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 97.78% |
| Values | Daily Returns |
Ford Motor vs. MicroSectors FANG ETN
Performance |
| Timeline |
| Ford Motor |
| MicroSectors FANG ETN |
Ford and MicroSectors FANG Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and MicroSectors FANG
The main advantage of trading using opposite Ford and MicroSectors FANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, MicroSectors FANG 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 MicroSectors FANG will offset losses from the drop in MicroSectors FANG's long position.The idea behind Ford Motor and MicroSectors FANG ETN 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.| MicroSectors FANG vs. First Trust NASDAQ | MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. SMI 3Fourteen Full Cycle | MicroSectors FANG vs. Invesco PHLX Semiconductor |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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