Correlation Between Ford and Cboe Vest

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

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

Diversification Opportunities for Ford and Cboe Vest

0.37

Correlation Coefficient

Ford  Cboe Vest

Weak diversification

The 3 months correlation between Ford and Cboe is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Cboe Vest Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cboe Vest Large 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 Cboe Vest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cboe Vest Large has no effect on the direction of Ford i.e., Ford and Cboe Vest go up and down completely randomly.

Pair Corralation between Ford and Cboe Vest

Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Cboe Vest. In addition to that, Ford is 5.86 times more volatile than Cboe Vest Large. It trades about -0.01 of its total potential returns per unit of risk. Cboe Vest Large is currently generating about 0.2 per unit of volatility. If you would invest  1,826  in Cboe Vest Large on September 16, 2024 and sell it today you would earn a total of  79.00  from holding Cboe Vest Large or generate 4.33% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Ford Motor  vs.  Cboe Vest Large

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.

Cboe Vest Large

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Cboe Vest Large are ranked lower than 15 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong technical and fundamental indicators, Cboe Vest 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 Cboe Vest

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

The idea behind Ford Motor and Cboe Vest Large 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.