Correlation Between Fast Retailing and Cal-Maine Foods
Can any of the company-specific risk be diversified away by investing in both Fast Retailing 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 Fast Retailing 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 Fast Retailing Co and Cal Maine Foods, you can compare the effects of market volatilities on Fast Retailing 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 Fast Retailing with a short position of Cal-Maine Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and Cal-Maine Foods.
Diversification Opportunities for Fast Retailing and Cal-Maine Foods
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Fast and Cal-Maine is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co 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 Fast Retailing 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 Fast Retailing Co 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 Fast Retailing i.e., Fast Retailing and Cal-Maine Foods go up and down completely randomly.
Pair Corralation between Fast Retailing and Cal-Maine Foods
Assuming the 90 days trading horizon Fast Retailing Co is expected to under-perform the Cal-Maine Foods. But the stock apears to be less risky and, when comparing its historical volatility, Fast Retailing Co is 1.89 times less risky than Cal-Maine Foods. The stock trades about -0.13 of its potential returns per unit of risk. The Cal Maine Foods is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 9,458 in Cal Maine Foods on December 29, 2024 and sell it today you would lose (870.00) from holding Cal Maine Foods or give up 9.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Retailing Co vs. Cal Maine Foods
Performance |
Timeline |
Fast Retailing |
Cal Maine Foods |
Fast Retailing and Cal-Maine Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and Cal-Maine Foods
The main advantage of trading using opposite Fast Retailing and Cal-Maine Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing 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.Fast Retailing vs. DaChan Food Limited | Fast Retailing vs. T Mobile | Fast Retailing vs. Ultra Clean Holdings | Fast Retailing vs. Entravision Communications |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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