Correlation Between Elite Material and Concord Securities
Can any of the company-specific risk be diversified away by investing in both Elite Material and Concord Securities 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 Elite Material and Concord Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Elite Material Co and Concord Securities Co, you can compare the effects of market volatilities on Elite Material and Concord Securities 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 Elite Material with a short position of Concord Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Elite Material and Concord Securities.
Diversification Opportunities for Elite Material and Concord Securities
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Elite and Concord is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Elite Material Co and Concord Securities Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Concord Securities and Elite Material 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 Elite Material Co are associated (or correlated) with Concord Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Concord Securities has no effect on the direction of Elite Material i.e., Elite Material and Concord Securities go up and down completely randomly.
Pair Corralation between Elite Material and Concord Securities
Assuming the 90 days trading horizon Elite Material Co is expected to generate 3.71 times more return on investment than Concord Securities. However, Elite Material is 3.71 times more volatile than Concord Securities Co. It trades about 0.43 of its potential returns per unit of risk. Concord Securities Co is currently generating about -0.22 per unit of risk. If you would invest 46,800 in Elite Material Co on September 27, 2024 and sell it today you would earn a total of 12,300 from holding Elite Material Co or generate 26.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Elite Material Co vs. Concord Securities Co
Performance |
Timeline |
Elite Material |
Concord Securities |
Elite Material and Concord Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Elite Material and Concord Securities
The main advantage of trading using opposite Elite Material and Concord Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Elite Material position performs unexpectedly, Concord Securities 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 Concord Securities will offset losses from the drop in Concord Securities' long position.Elite Material vs. Compeq Manufacturing Co | Elite Material vs. ITEQ Corp | Elite Material vs. Unimicron Technology Corp | Elite Material vs. Chicony Electronics Co |
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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 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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