Correlation Between SENECA FOODS-A and Cincinnati Financial
Can any of the company-specific risk be diversified away by investing in both SENECA FOODS-A and Cincinnati Financial 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 Cincinnati Financial 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 Cincinnati Financial Corp, you can compare the effects of market volatilities on SENECA FOODS-A and Cincinnati Financial 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 Cincinnati Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of SENECA FOODS-A and Cincinnati Financial.
Diversification Opportunities for SENECA FOODS-A and Cincinnati Financial
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between SENECA and Cincinnati is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding SENECA FOODS A and Cincinnati Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cincinnati Financial Corp 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 Cincinnati Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cincinnati Financial Corp has no effect on the direction of SENECA FOODS-A i.e., SENECA FOODS-A and Cincinnati Financial go up and down completely randomly.
Pair Corralation between SENECA FOODS-A and Cincinnati Financial
Assuming the 90 days trading horizon SENECA FOODS A is expected to generate 1.17 times more return on investment than Cincinnati Financial. However, SENECA FOODS-A is 1.17 times more volatile than Cincinnati Financial Corp. It trades about 0.08 of its potential returns per unit of risk. Cincinnati Financial Corp is currently generating about -0.03 per unit of risk. If you would invest 7,300 in SENECA FOODS A on December 25, 2024 and sell it today you would earn a total of 550.00 from holding SENECA FOODS A or generate 7.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SENECA FOODS A vs. Cincinnati Financial Corp
Performance |
Timeline |
SENECA FOODS A |
Cincinnati Financial Corp |
SENECA FOODS-A and Cincinnati Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SENECA FOODS-A and Cincinnati Financial
The main advantage of trading using opposite SENECA FOODS-A and Cincinnati Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SENECA FOODS-A position performs unexpectedly, Cincinnati Financial 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 Cincinnati Financial will offset losses from the drop in Cincinnati Financial's long position.SENECA FOODS-A vs. Singapore Airlines Limited | SENECA FOODS-A vs. SPECTRAL MEDICAL | SENECA FOODS-A vs. Aegean Airlines SA | SENECA FOODS-A vs. Nok Airlines PCL |
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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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