Correlation Between Daxin Materials and TECO Electric
Can any of the company-specific risk be diversified away by investing in both Daxin Materials and TECO 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 Daxin Materials and TECO Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daxin Materials Corp and TECO Electric Machinery, you can compare the effects of market volatilities on Daxin Materials and TECO 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 Daxin Materials with a short position of TECO Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daxin Materials and TECO Electric.
Diversification Opportunities for Daxin Materials and TECO Electric
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Daxin and TECO is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Daxin Materials Corp and TECO Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TECO Electric Machinery and Daxin Materials 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 Daxin Materials Corp are associated (or correlated) with TECO Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TECO Electric Machinery has no effect on the direction of Daxin Materials i.e., Daxin Materials and TECO Electric go up and down completely randomly.
Pair Corralation between Daxin Materials and TECO Electric
Assuming the 90 days trading horizon Daxin Materials Corp is expected to generate 2.45 times more return on investment than TECO Electric. However, Daxin Materials is 2.45 times more volatile than TECO Electric Machinery. It trades about 0.01 of its potential returns per unit of risk. TECO Electric Machinery is currently generating about -0.01 per unit of risk. If you would invest 19,300 in Daxin Materials Corp on December 21, 2024 and sell it today you would lose (250.00) from holding Daxin Materials Corp or give up 1.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daxin Materials Corp vs. TECO Electric Machinery
Performance |
Timeline |
Daxin Materials Corp |
TECO Electric Machinery |
Daxin Materials and TECO Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daxin Materials and TECO Electric
The main advantage of trading using opposite Daxin Materials and TECO Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daxin Materials position performs unexpectedly, TECO 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 TECO Electric will offset losses from the drop in TECO Electric's long position.Daxin Materials vs. Topco Scientific Co | Daxin Materials vs. Holtek Semiconductor | Daxin Materials vs. Greatek Electronics | Daxin Materials vs. Stark Technology |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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