Correlation Between Food Life and Safety Insurance
Can any of the company-specific risk be diversified away by investing in both Food Life and Safety Insurance 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 Food Life and Safety Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Food Life Companies and Safety Insurance Group, you can compare the effects of market volatilities on Food Life and Safety Insurance 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 Food Life with a short position of Safety Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Food Life and Safety Insurance.
Diversification Opportunities for Food Life and Safety Insurance
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Food and Safety is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Food Life Companies and Safety Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Safety Insurance and Food Life 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 Food Life Companies are associated (or correlated) with Safety Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Safety Insurance has no effect on the direction of Food Life i.e., Food Life and Safety Insurance go up and down completely randomly.
Pair Corralation between Food Life and Safety Insurance
Assuming the 90 days horizon Food Life Companies is expected to generate 1.01 times more return on investment than Safety Insurance. However, Food Life is 1.01 times more volatile than Safety Insurance Group. It trades about 0.28 of its potential returns per unit of risk. Safety Insurance Group is currently generating about 0.02 per unit of risk. If you would invest 1,920 in Food Life Companies on September 22, 2024 and sell it today you would earn a total of 200.00 from holding Food Life Companies or generate 10.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Food Life Companies vs. Safety Insurance Group
Performance |
Timeline |
Food Life Companies |
Safety Insurance |
Food Life and Safety Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Food Life and Safety Insurance
The main advantage of trading using opposite Food Life and Safety Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Food Life position performs unexpectedly, Safety Insurance 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 Safety Insurance will offset losses from the drop in Safety Insurance's long position.Food Life vs. FORWARD AIR P | Food Life vs. SEALED AIR | Food Life vs. LOANDEPOT INC A | Food Life vs. Magnachip Semiconductor |
Safety Insurance vs. Virtus Investment Partners | Safety Insurance vs. Food Life Companies | Safety Insurance vs. New Residential Investment | Safety Insurance vs. Tyson Foods |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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