Correlation Between Cots Technology and Next Entertainment
Can any of the company-specific risk be diversified away by investing in both Cots Technology and Next Entertainment 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 Cots Technology and Next Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cots Technology Co and Next Entertainment World, you can compare the effects of market volatilities on Cots Technology and Next Entertainment 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 Cots Technology with a short position of Next Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cots Technology and Next Entertainment.
Diversification Opportunities for Cots Technology and Next Entertainment
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cots and Next is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Cots Technology Co and Next Entertainment World in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Next Entertainment World and Cots Technology 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 Cots Technology Co are associated (or correlated) with Next Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Next Entertainment World has no effect on the direction of Cots Technology i.e., Cots Technology and Next Entertainment go up and down completely randomly.
Pair Corralation between Cots Technology and Next Entertainment
Assuming the 90 days trading horizon Cots Technology Co is expected to generate 1.67 times more return on investment than Next Entertainment. However, Cots Technology is 1.67 times more volatile than Next Entertainment World. It trades about 0.01 of its potential returns per unit of risk. Next Entertainment World is currently generating about -0.08 per unit of risk. If you would invest 2,040,000 in Cots Technology Co on August 31, 2024 and sell it today you would lose (490,000) from holding Cots Technology Co or give up 24.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 87.6% |
Values | Daily Returns |
Cots Technology Co vs. Next Entertainment World
Performance |
Timeline |
Cots Technology |
Next Entertainment World |
Cots Technology and Next Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cots Technology and Next Entertainment
The main advantage of trading using opposite Cots Technology and Next Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cots Technology position performs unexpectedly, Next Entertainment 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 Next Entertainment will offset losses from the drop in Next Entertainment's long position.Cots Technology vs. Samsung Electronics Co | Cots Technology vs. Samsung Electronics Co | Cots Technology vs. LG Energy Solution | Cots Technology vs. SK Hynix |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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