Correlation Between Edita Food and Applied Materials
Can any of the company-specific risk be diversified away by investing in both Edita Food and Applied Materials 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 Edita Food and Applied Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Edita Food Industries and Applied Materials, you can compare the effects of market volatilities on Edita Food and Applied Materials 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 Edita Food with a short position of Applied Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Edita Food and Applied Materials.
Diversification Opportunities for Edita Food and Applied Materials
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Edita and Applied is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Edita Food Industries and Applied Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Materials and Edita Food 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 Edita Food Industries are associated (or correlated) with Applied Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Materials has no effect on the direction of Edita Food i.e., Edita Food and Applied Materials go up and down completely randomly.
Pair Corralation between Edita Food and Applied Materials
Assuming the 90 days trading horizon Edita Food is expected to generate 3.07 times less return on investment than Applied Materials. In addition to that, Edita Food is 1.23 times more volatile than Applied Materials. It trades about 0.01 of its total potential returns per unit of risk. Applied Materials is currently generating about 0.04 per unit of volatility. If you would invest 11,490 in Applied Materials on September 29, 2024 and sell it today you would earn a total of 5,044 from holding Applied Materials or generate 43.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.16% |
Values | Daily Returns |
Edita Food Industries vs. Applied Materials
Performance |
Timeline |
Edita Food Industries |
Applied Materials |
Edita Food and Applied Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Edita Food and Applied Materials
The main advantage of trading using opposite Edita Food and Applied Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Edita Food position performs unexpectedly, Applied Materials 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 Applied Materials will offset losses from the drop in Applied Materials' long position.Edita Food vs. Applied Materials | Edita Food vs. InterContinental Hotels Group | Edita Food vs. Compagnie Plastic Omnium | Edita Food vs. Gaztransport et Technigaz |
Applied Materials vs. Uniper SE | Applied Materials vs. Mulberry Group PLC | Applied Materials vs. London Security Plc | Applied Materials vs. Triad Group PLC |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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