Correlation Between SENECA FOODS-A and Townsquare Media
Can any of the company-specific risk be diversified away by investing in both SENECA FOODS-A and Townsquare Media 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-A and Townsquare Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SENECA FOODS A and Townsquare Media, you can compare the effects of market volatilities on SENECA FOODS-A and Townsquare Media 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-A with a short position of Townsquare Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of SENECA FOODS-A and Townsquare Media.
Diversification Opportunities for SENECA FOODS-A and Townsquare Media
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SENECA and Townsquare is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding SENECA FOODS A and Townsquare Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Townsquare Media and SENECA FOODS-A 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 A are associated (or correlated) with Townsquare Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Townsquare Media has no effect on the direction of SENECA FOODS-A i.e., SENECA FOODS-A and Townsquare Media go up and down completely randomly.
Pair Corralation between SENECA FOODS-A and Townsquare Media
Assuming the 90 days trading horizon SENECA FOODS A is expected to generate 0.98 times more return on investment than Townsquare Media. However, SENECA FOODS A is 1.02 times less risky than Townsquare Media. It trades about 0.09 of its potential returns per unit of risk. Townsquare Media is currently generating about 0.02 per unit of risk. If you would invest 4,460 in SENECA FOODS A on September 4, 2024 and sell it today you would earn a total of 2,290 from holding SENECA FOODS A or generate 51.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.6% |
Values | Daily Returns |
SENECA FOODS A vs. Townsquare Media
Performance |
Timeline |
SENECA FOODS A |
Townsquare Media |
SENECA FOODS-A and Townsquare Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SENECA FOODS-A and Townsquare Media
The main advantage of trading using opposite SENECA FOODS-A and Townsquare Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SENECA FOODS-A position performs unexpectedly, Townsquare Media 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 Townsquare Media will offset losses from the drop in Townsquare Media's long position.SENECA FOODS-A vs. TOTAL GABON | SENECA FOODS-A vs. Walgreens Boots Alliance | SENECA FOODS-A vs. Peak Resources Limited |
Townsquare Media vs. SENECA FOODS A | Townsquare Media vs. EBRO FOODS | Townsquare Media vs. United Natural Foods | Townsquare Media vs. Ameriprise Financial |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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