Correlation Between Selective Insurance and SENECA FOODS-A
Can any of the company-specific risk be diversified away by investing in both Selective Insurance and SENECA FOODS-A 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 Selective Insurance and SENECA FOODS-A into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Selective Insurance Group and SENECA FOODS A, you can compare the effects of market volatilities on Selective Insurance and SENECA FOODS-A 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 Selective Insurance with a short position of SENECA FOODS-A. Check out your portfolio center. Please also check ongoing floating volatility patterns of Selective Insurance and SENECA FOODS-A.
Diversification Opportunities for Selective Insurance and SENECA FOODS-A
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Selective and SENECA is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Selective Insurance Group and SENECA FOODS A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SENECA FOODS A and Selective Insurance 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 Selective Insurance Group are associated (or correlated) with SENECA FOODS-A. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SENECA FOODS A has no effect on the direction of Selective Insurance i.e., Selective Insurance and SENECA FOODS-A go up and down completely randomly.
Pair Corralation between Selective Insurance and SENECA FOODS-A
Assuming the 90 days horizon Selective Insurance is expected to generate 10.66 times less return on investment than SENECA FOODS-A. But when comparing it to its historical volatility, Selective Insurance Group is 1.33 times less risky than SENECA FOODS-A. It trades about 0.03 of its potential returns per unit of risk. SENECA FOODS A is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 5,900 in SENECA FOODS A on October 7, 2024 and sell it today you would earn a total of 1,450 from holding SENECA FOODS A or generate 24.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Selective Insurance Group vs. SENECA FOODS A
Performance |
Timeline |
Selective Insurance |
SENECA FOODS A |
Selective Insurance and SENECA FOODS-A Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Selective Insurance and SENECA FOODS-A
The main advantage of trading using opposite Selective Insurance and SENECA FOODS-A positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Selective Insurance position performs unexpectedly, SENECA FOODS-A 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 SENECA FOODS-A will offset losses from the drop in SENECA FOODS-A's long position.Selective Insurance vs. De Grey Mining | Selective Insurance vs. SENECA FOODS A | Selective Insurance vs. CAL MAINE FOODS | Selective Insurance vs. Jacquet Metal Service |
SENECA FOODS-A vs. GALENA MINING LTD | SENECA FOODS-A vs. GRIFFIN MINING LTD | SENECA FOODS-A vs. REVO INSURANCE SPA | SENECA FOODS-A vs. Perseus Mining Limited |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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