Correlation Between Hanover Foods and Service Properties
Can any of the company-specific risk be diversified away by investing in both Hanover Foods and Service Properties 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 Hanover Foods and Service Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanover Foods and Service Properties Trust, you can compare the effects of market volatilities on Hanover Foods and Service Properties 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 Hanover Foods with a short position of Service Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Foods and Service Properties.
Diversification Opportunities for Hanover Foods and Service Properties
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hanover and Service is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Hanover Foods and Service Properties Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Service Properties Trust and Hanover 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 Hanover Foods are associated (or correlated) with Service Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Service Properties Trust has no effect on the direction of Hanover Foods i.e., Hanover Foods and Service Properties go up and down completely randomly.
Pair Corralation between Hanover Foods and Service Properties
Assuming the 90 days horizon Hanover Foods is expected to generate 107.19 times less return on investment than Service Properties. But when comparing it to its historical volatility, Hanover Foods is 58.17 times less risky than Service Properties. It trades about 0.13 of its potential returns per unit of risk. Service Properties Trust is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 189.00 in Service Properties Trust on May 1, 2025 and sell it today you would earn a total of 104.00 from holding Service Properties Trust or generate 55.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hanover Foods vs. Service Properties Trust
Performance |
Timeline |
Hanover Foods |
Service Properties Trust |
Hanover Foods and Service Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanover Foods and Service Properties
The main advantage of trading using opposite Hanover Foods and Service Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Foods position performs unexpectedly, Service Properties 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 Service Properties will offset losses from the drop in Service Properties' long position.Hanover Foods vs. Else Nutrition Holdings | Hanover Foods vs. Farmer Bros Co | Hanover Foods vs. Genesis Electronics Group | Hanover Foods vs. Hello Pal International |
Service Properties vs. Solarius Capital Acquisition | Service Properties vs. Galway Metals | Service Properties vs. EastGroup Properties | Service Properties vs. Mills Music 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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