Correlation Between Ford and Fpa Flexible

Can any of the company-specific risk be diversified away by investing in both Ford and Fpa Flexible 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 Fpa Flexible into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Ford Motor and Fpa Flexible Fixed, you can compare the effects of market volatilities on Ford and Fpa Flexible 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 Fpa Flexible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Fpa Flexible.

Diversification Opportunities for Ford and Fpa Flexible

-0.21

Correlation Coefficient

Ford  Fpa Flexible

Very good diversification

The 3 months correlation between Ford and Fpa is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Fpa Flexible Fixed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fpa Flexible Fixed 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 Fpa Flexible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fpa Flexible Fixed has no effect on the direction of Ford i.e., Ford and Fpa Flexible go up and down completely randomly.

Pair Corralation between Ford and Fpa Flexible

Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Fpa Flexible. In addition to that, Ford is 7.36 times more volatile than Fpa Flexible Fixed. It trades about -0.42 of its total potential returns per unit of risk. Fpa Flexible Fixed is currently generating about -0.19 per unit of volatility. If you would invest  1,014  in Fpa Flexible Fixed on September 26, 2024 and sell it today you would lose (8.00) from holding Fpa Flexible Fixed or give up 0.79% 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.  Fpa Flexible Fixed

Ford Motor

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Ford Motor has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable technical and fundamental indicators, Ford is not utilizing all of its potentials. The recent stock price disturbance, may contribute to mid-run losses for the stockholders.

Fpa Flexible Fixed

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Fpa Flexible Fixed has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Fpa Flexible is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Ford and Fpa Flexible

The main advantage of trading using opposite Ford and Fpa Flexible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Fpa Flexible 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 Fpa Flexible will offset losses from the drop in Fpa Flexible's long position.

The idea behind Ford Motor and Fpa Flexible Fixed 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.

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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.