Correlation Between CENTURIA OFFICE and Flowers Foods
Can any of the company-specific risk be diversified away by investing in both CENTURIA OFFICE and Flowers 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 CENTURIA OFFICE and Flowers Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CENTURIA OFFICE REIT and Flowers Foods, you can compare the effects of market volatilities on CENTURIA OFFICE and Flowers 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 CENTURIA OFFICE with a short position of Flowers Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of CENTURIA OFFICE and Flowers Foods.
Diversification Opportunities for CENTURIA OFFICE and Flowers Foods
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CENTURIA and Flowers is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding CENTURIA OFFICE REIT and Flowers Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flowers Foods and CENTURIA OFFICE 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 CENTURIA OFFICE REIT are associated (or correlated) with Flowers Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flowers Foods has no effect on the direction of CENTURIA OFFICE i.e., CENTURIA OFFICE and Flowers Foods go up and down completely randomly.
Pair Corralation between CENTURIA OFFICE and Flowers Foods
Assuming the 90 days horizon CENTURIA OFFICE REIT is expected to generate 1.21 times more return on investment than Flowers Foods. However, CENTURIA OFFICE is 1.21 times more volatile than Flowers Foods. It trades about 0.05 of its potential returns per unit of risk. Flowers Foods is currently generating about -0.13 per unit of risk. If you would invest 61.00 in CENTURIA OFFICE REIT on December 23, 2024 and sell it today you would earn a total of 3.00 from holding CENTURIA OFFICE REIT or generate 4.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CENTURIA OFFICE REIT vs. Flowers Foods
Performance |
Timeline |
CENTURIA OFFICE REIT |
Flowers Foods |
CENTURIA OFFICE and Flowers Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CENTURIA OFFICE and Flowers Foods
The main advantage of trading using opposite CENTURIA OFFICE and Flowers Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CENTURIA OFFICE position performs unexpectedly, Flowers 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 Flowers Foods will offset losses from the drop in Flowers Foods' long position.CENTURIA OFFICE vs. United States Steel | CENTURIA OFFICE vs. FARO Technologies | CENTURIA OFFICE vs. Easy Software AG | CENTURIA OFFICE vs. THORNEY TECHS LTD |
Flowers Foods vs. Gaztransport Technigaz SA | Flowers Foods vs. Sporting Clube de | Flowers Foods vs. PARKEN Sport Entertainment | Flowers Foods vs. Transport International Holdings |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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