Correlation Between Flowers Foods and Host Hotels
Can any of the company-specific risk be diversified away by investing in both Flowers 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 Flowers 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 Flowers Foods and Host Hotels Resorts, you can compare the effects of market volatilities on Flowers 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 Flowers Foods with a short position of Host Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flowers Foods and Host Hotels.
Diversification Opportunities for Flowers Foods and Host Hotels
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Flowers and Host is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Flowers 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 Flowers 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 Flowers 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 Flowers Foods i.e., Flowers Foods and Host Hotels go up and down completely randomly.
Pair Corralation between Flowers Foods and Host Hotels
Assuming the 90 days horizon Flowers Foods is expected to under-perform the Host Hotels. In addition to that, Flowers Foods is 1.04 times more volatile than Host Hotels Resorts. It trades about -0.15 of its total potential returns per unit of risk. Host Hotels Resorts is currently generating about 0.01 per unit of volatility. If you would invest 1,580 in Host Hotels Resorts on November 27, 2024 and sell it today you would earn a total of 0.00 from holding Host Hotels Resorts or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Flowers Foods vs. Host Hotels Resorts
Performance |
| Timeline |
| Flowers Foods |
| Host Hotels Resorts |
Flowers Foods and Host Hotels Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Flowers Foods and Host Hotels
The main advantage of trading using opposite Flowers Foods and Host Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flowers 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.| Flowers Foods vs. Nestl SA | Flowers Foods vs. Kraft Heinz Co | Flowers Foods vs. General Mills | Flowers Foods vs. General Mills |
| Host Hotels vs. Park Hotels Resorts | Host Hotels vs. Sunstone Hotel Investors | Host Hotels vs. Xenia Hotels Resorts | Host Hotels vs. Service Properties Trust |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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