Correlation Between CAL-MAINE FOODS and Host Hotels
Can any of the company-specific risk be diversified away by investing in both CAL-MAINE FOODS and Host Hotels 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 Host Hotels 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 Host Hotels Resorts, you can compare the effects of market volatilities on CAL-MAINE FOODS and Host Hotels 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 Host Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of CAL-MAINE FOODS and Host Hotels.
Diversification Opportunities for CAL-MAINE FOODS and Host Hotels
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CAL-MAINE and Host is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding CAL MAINE FOODS and Host Hotels Resorts in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Host Hotels Resorts 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 Host Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Host Hotels Resorts has no effect on the direction of CAL-MAINE FOODS i.e., CAL-MAINE FOODS and Host Hotels go up and down completely randomly.
Pair Corralation between CAL-MAINE FOODS and Host Hotels
Assuming the 90 days trading horizon CAL MAINE FOODS is expected to generate 2.25 times more return on investment than Host Hotels. However, CAL-MAINE FOODS is 2.25 times more volatile than Host Hotels Resorts. It trades about -0.04 of its potential returns per unit of risk. Host Hotels Resorts is currently generating about -0.28 per unit of risk. If you would invest 9,679 in CAL MAINE FOODS on December 25, 2024 and sell it today you would lose (1,111) from holding CAL MAINE FOODS or give up 11.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.36% |
Values | Daily Returns |
CAL MAINE FOODS vs. Host Hotels Resorts
Performance |
Timeline |
CAL MAINE FOODS |
Host Hotels Resorts |
CAL-MAINE FOODS and Host Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CAL-MAINE FOODS and Host Hotels
The main advantage of trading using opposite CAL-MAINE FOODS and Host Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CAL-MAINE FOODS position performs unexpectedly, Host Hotels 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 Host Hotels will offset losses from the drop in Host Hotels' long position.CAL-MAINE FOODS vs. JLF INVESTMENT | CAL-MAINE FOODS vs. Keck Seng Investments | CAL-MAINE FOODS vs. Taylor Morrison Home | CAL-MAINE FOODS vs. Haverty Furniture Companies |
Host Hotels vs. REVO INSURANCE SPA | Host Hotels vs. LOANDEPOT INC A | Host Hotels vs. JSC Halyk bank | Host Hotels vs. Chiba Bank |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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