Correlation Between Cots Technology and Samsung Life
Can any of the company-specific risk be diversified away by investing in both Cots Technology and Samsung Life 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 Samsung Life 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 Samsung Life Insurance, you can compare the effects of market volatilities on Cots Technology and Samsung Life 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 Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cots Technology and Samsung Life.
Diversification Opportunities for Cots Technology and Samsung Life
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cots and Samsung is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Cots Technology Co and Samsung Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Life Insurance 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 Samsung Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Life Insurance has no effect on the direction of Cots Technology i.e., Cots Technology and Samsung Life go up and down completely randomly.
Pair Corralation between Cots Technology and Samsung Life
Assuming the 90 days trading horizon Cots Technology Co is expected to generate 1.12 times more return on investment than Samsung Life. However, Cots Technology is 1.12 times more volatile than Samsung Life Insurance. It trades about 0.12 of its potential returns per unit of risk. Samsung Life Insurance is currently generating about -0.07 per unit of risk. If you would invest 1,521,000 in Cots Technology Co on December 25, 2024 and sell it today you would earn a total of 284,000 from holding Cots Technology Co or generate 18.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cots Technology Co vs. Samsung Life Insurance
Performance |
Timeline |
Cots Technology |
Samsung Life Insurance |
Cots Technology and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cots Technology and Samsung Life
The main advantage of trading using opposite Cots Technology and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cots Technology position performs unexpectedly, Samsung Life 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 Samsung Life will offset losses from the drop in Samsung Life's long position.Cots Technology vs. Hanshin Construction Co | Cots Technology vs. Hwacheon Machinery Co | Cots Technology vs. Shinhan Financial Group | Cots Technology vs. KakaoBank Corp |
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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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