Correlation Between Ford and Voya Gnma
Can any of the company-specific risk be diversified away by investing in both Ford and Voya Gnma 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 Voya Gnma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Voya Gnma Income, you can compare the effects of market volatilities on Ford and Voya Gnma 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 Voya Gnma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Voya Gnma.
Diversification Opportunities for Ford and Voya Gnma
Good diversification
The 3 months correlation between Ford and Voya is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Voya Gnma Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Voya Gnma Income 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 Voya Gnma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Voya Gnma Income has no effect on the direction of Ford i.e., Ford and Voya Gnma go up and down completely randomly.
Pair Corralation between Ford and Voya Gnma
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Voya Gnma. In addition to that, Ford is 5.44 times more volatile than Voya Gnma Income. It trades about -0.42 of its total potential returns per unit of risk. Voya Gnma Income is currently generating about -0.32 per unit of volatility. If you would invest 741.00 in Voya Gnma Income on September 26, 2024 and sell it today you would lose (13.00) from holding Voya Gnma Income or give up 1.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Voya Gnma Income
Performance |
Timeline |
Ford Motor |
Voya Gnma Income |
Ford and Voya Gnma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Voya Gnma
The main advantage of trading using opposite Ford and Voya Gnma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Voya Gnma 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 Voya Gnma will offset losses from the drop in Voya Gnma's long position.The idea behind Ford Motor and Voya Gnma Income 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.Voya Gnma vs. Touchstone Large Cap | Voya Gnma vs. Fidelity Series 1000 | Voya Gnma vs. American Mutual Fund | Voya Gnma vs. Guidemark Large Cap |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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