Correlation Between Seneca Foods and SBA Communications
Can any of the company-specific risk be diversified away by investing in both Seneca Foods and SBA Communications 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 Seneca Foods and SBA Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seneca Foods Corp and SBA Communications Corp, you can compare the effects of market volatilities on Seneca Foods and SBA Communications 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 Seneca Foods with a short position of SBA Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seneca Foods and SBA Communications.
Diversification Opportunities for Seneca Foods and SBA Communications
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Seneca and SBA is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Seneca Foods Corp and SBA Communications Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBA Communications Corp and Seneca 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 Seneca Foods Corp are associated (or correlated) with SBA Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBA Communications Corp has no effect on the direction of Seneca Foods i.e., Seneca Foods and SBA Communications go up and down completely randomly.
Pair Corralation between Seneca Foods and SBA Communications
Assuming the 90 days horizon Seneca Foods Corp is expected to generate 1.92 times more return on investment than SBA Communications. However, Seneca Foods is 1.92 times more volatile than SBA Communications Corp. It trades about 0.17 of its potential returns per unit of risk. SBA Communications Corp is currently generating about -0.04 per unit of risk. If you would invest 9,402 in Seneca Foods Corp on May 7, 2025 and sell it today you would earn a total of 1,197 from holding Seneca Foods Corp or generate 12.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 48.39% |
Values | Daily Returns |
Seneca Foods Corp vs. SBA Communications Corp
Performance |
Timeline |
Seneca Foods Corp |
Risk-Adjusted Performance
Good
Weak | Strong |
SBA Communications Corp |
Seneca Foods and SBA Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seneca Foods and SBA Communications
The main advantage of trading using opposite Seneca Foods and SBA Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seneca Foods position performs unexpectedly, SBA Communications 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 SBA Communications will offset losses from the drop in SBA Communications' long position.Seneca Foods vs. Bridgford Foods | Seneca Foods vs. J J Snack | Seneca Foods vs. Central Garden Pet | Seneca Foods vs. Central Garden Pet |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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