Correlation Between Food Life and Schneider Electric
Can any of the company-specific risk be diversified away by investing in both Food Life and Schneider Electric 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 Schneider Electric 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 Schneider Electric SE, you can compare the effects of market volatilities on Food Life and Schneider Electric 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 Schneider Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Food Life and Schneider Electric.
Diversification Opportunities for Food Life and Schneider Electric
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Food and Schneider is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Food Life Companies and Schneider Electric SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schneider Electric 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 Schneider Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schneider Electric has no effect on the direction of Food Life i.e., Food Life and Schneider Electric go up and down completely randomly.
Pair Corralation between Food Life and Schneider Electric
Assuming the 90 days horizon Food Life Companies is expected to generate 1.1 times more return on investment than Schneider Electric. However, Food Life is 1.1 times more volatile than Schneider Electric SE. It trades about 0.19 of its potential returns per unit of risk. Schneider Electric SE is currently generating about -0.04 per unit of risk. If you would invest 2,000 in Food Life Companies on December 29, 2024 and sell it today you would earn a total of 760.00 from holding Food Life Companies or generate 38.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Food Life Companies vs. Schneider Electric SE
Performance |
Timeline |
Food Life Companies |
Schneider Electric |
Food Life and Schneider Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Food Life and Schneider Electric
The main advantage of trading using opposite Food Life and Schneider Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Food Life position performs unexpectedly, Schneider Electric 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 Schneider Electric will offset losses from the drop in Schneider Electric's long position.Food Life vs. BROADSTNET LEADL 00025 | Food Life vs. KAUFMAN ET BROAD | Food Life vs. Kaufman Broad SA | Food Life vs. Transport International Holdings |
Schneider Electric vs. UNITED UTILITIES GR | Schneider Electric vs. Universal Display | Schneider Electric vs. United Utilities Group | Schneider Electric vs. LG Display Co |
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.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume |