Correlation Between Ford and Cal-Maine Foods
Can any of the company-specific risk be diversified away by investing in both Ford and Cal-Maine Foods 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 Cal-Maine Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Cal Maine Foods, you can compare the effects of market volatilities on Ford and Cal-Maine Foods 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 Cal-Maine Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Cal-Maine Foods.
Diversification Opportunities for Ford and Cal-Maine Foods
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ford and Cal-Maine is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Cal Maine Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cal Maine Foods 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 Cal-Maine Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cal Maine Foods has no effect on the direction of Ford i.e., Ford and Cal-Maine Foods go up and down completely randomly.
Pair Corralation between Ford and Cal-Maine Foods
Taking into account the 90-day investment horizon Ford is expected to generate 1.46 times less return on investment than Cal-Maine Foods. In addition to that, Ford is 1.3 times more volatile than Cal Maine Foods. It trades about 0.18 of its total potential returns per unit of risk. Cal Maine Foods is currently generating about 0.33 per unit of volatility. If you would invest 8,226 in Cal Maine Foods on August 31, 2024 and sell it today you would earn a total of 934.00 from holding Cal Maine Foods or generate 11.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Ford Motor vs. Cal Maine Foods
Performance |
Timeline |
Ford Motor |
Cal Maine Foods |
Ford and Cal-Maine Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Cal-Maine Foods
The main advantage of trading using opposite Ford and Cal-Maine Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Cal-Maine Foods 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 Cal-Maine Foods will offset losses from the drop in Cal-Maine Foods' long position.The idea behind Ford Motor and Cal Maine Foods 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.Cal-Maine Foods vs. Apple Inc | Cal-Maine Foods vs. Apple Inc | Cal-Maine Foods vs. Apple Inc | Cal-Maine Foods vs. Apple Inc |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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