Correlation Between Ford and New York
Can any of the company-specific risk be diversified away by investing in both Ford and New York 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 New York into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and New York Tax Free, you can compare the effects of market volatilities on Ford and New York 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 New York. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and New York.
Diversification Opportunities for Ford and New York
Very good diversification
The 3 months correlation between Ford and New is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and New York Tax Free in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New York Tax 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 New York. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New York Tax has no effect on the direction of Ford i.e., Ford and New York go up and down completely randomly.
Pair Corralation between Ford and New York
Taking into account the 90-day investment horizon Ford Motor is expected to generate 5.19 times more return on investment than New York. However, Ford is 5.19 times more volatile than New York Tax Free. It trades about 0.23 of its potential returns per unit of risk. New York Tax Free is currently generating about 0.22 per unit of risk. If you would invest 1,015 in Ford Motor on September 1, 2024 and sell it today you would earn a total of 98.00 from holding Ford Motor or generate 9.66% 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. New York Tax Free
Performance |
| Timeline |
| Ford Motor |
| New York Tax |
Ford and New York Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and New York
The main advantage of trading using opposite Ford and New York positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, New York 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 New York will offset losses from the drop in New York's long position.The idea behind Ford Motor and New York Tax Free 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.| New York vs. New Jersey Tax Free | New York vs. T Rowe Price | New York vs. Virginia Tax Free Bond | New York vs. T Rowe Price |
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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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