Correlation Between Cal-Maine Foods and NXP Semiconductors
Can any of the company-specific risk be diversified away by investing in both Cal-Maine Foods and NXP Semiconductors 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 Cal-Maine Foods and NXP Semiconductors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cal Maine Foods and NXP Semiconductors NV, you can compare the effects of market volatilities on Cal-Maine Foods and NXP Semiconductors 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 Cal-Maine Foods with a short position of NXP Semiconductors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cal-Maine Foods and NXP Semiconductors.
Diversification Opportunities for Cal-Maine Foods and NXP Semiconductors
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Cal-Maine and NXP is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Cal Maine Foods and NXP Semiconductors NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NXP Semiconductors and Cal-Maine Foods 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 Cal Maine Foods are associated (or correlated) with NXP Semiconductors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NXP Semiconductors has no effect on the direction of Cal-Maine Foods i.e., Cal-Maine Foods and NXP Semiconductors go up and down completely randomly.
Pair Corralation between Cal-Maine Foods and NXP Semiconductors
Assuming the 90 days horizon Cal Maine Foods is expected to under-perform the NXP Semiconductors. In addition to that, Cal-Maine Foods is 1.52 times more volatile than NXP Semiconductors NV. It trades about -0.03 of its total potential returns per unit of risk. NXP Semiconductors NV is currently generating about -0.03 per unit of volatility. If you would invest 20,599 in NXP Semiconductors NV on December 27, 2024 and sell it today you would lose (1,049) from holding NXP Semiconductors NV or give up 5.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cal Maine Foods vs. NXP Semiconductors NV
Performance |
Timeline |
Cal Maine Foods |
NXP Semiconductors |
Cal-Maine Foods and NXP Semiconductors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cal-Maine Foods and NXP Semiconductors
The main advantage of trading using opposite Cal-Maine Foods and NXP Semiconductors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cal-Maine Foods position performs unexpectedly, NXP Semiconductors 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 NXP Semiconductors will offset losses from the drop in NXP Semiconductors' long position.Cal-Maine Foods vs. Nestl SA | Cal-Maine Foods vs. Kraft Heinz Co | Cal-Maine Foods vs. General Mills | Cal-Maine Foods vs. Danone SA |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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