Correlation Between Office Properties and Hanover Foods
Can any of the company-specific risk be diversified away by investing in both Office Properties and Hanover 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 Office Properties and Hanover Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Office Properties Income and Hanover Foods, you can compare the effects of market volatilities on Office Properties and Hanover 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 Office Properties with a short position of Hanover Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Office Properties and Hanover Foods.
Diversification Opportunities for Office Properties and Hanover Foods
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Office and Hanover is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Office Properties Income and Hanover Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanover Foods and Office Properties 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 Office Properties Income are associated (or correlated) with Hanover Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanover Foods has no effect on the direction of Office Properties i.e., Office Properties and Hanover Foods go up and down completely randomly.
Pair Corralation between Office Properties and Hanover Foods
Assuming the 90 days horizon Office Properties Income is expected to generate 1.53 times more return on investment than Hanover Foods. However, Office Properties is 1.53 times more volatile than Hanover Foods. It trades about 0.04 of its potential returns per unit of risk. Hanover Foods is currently generating about -0.22 per unit of risk. If you would invest 1,181 in Office Properties Income on October 12, 2024 and sell it today you would earn a total of 17.00 from holding Office Properties Income or generate 1.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Office Properties Income vs. Hanover Foods
Performance |
Timeline |
Office Properties Income |
Hanover Foods |
Office Properties and Hanover Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Office Properties and Hanover Foods
The main advantage of trading using opposite Office Properties and Hanover Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Office Properties position performs unexpectedly, Hanover 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 Hanover Foods will offset losses from the drop in Hanover Foods' long position.Office Properties vs. United States Cellular | Office Properties vs. United States Cellular | Office Properties vs. DBA Sempra 5750 | Office Properties vs. Hancock Whitney |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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