Correlation Between Sungwoo Hitech and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Sungwoo Hitech and Samsung Electronics 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 Sungwoo Hitech and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sungwoo Hitech Co and Samsung Electronics Co, you can compare the effects of market volatilities on Sungwoo Hitech and Samsung Electronics 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 Sungwoo Hitech with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sungwoo Hitech and Samsung Electronics.
Diversification Opportunities for Sungwoo Hitech and Samsung Electronics
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sungwoo and Samsung is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Sungwoo Hitech Co and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Sungwoo Hitech 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 Sungwoo Hitech Co are associated (or correlated) with Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of Sungwoo Hitech i.e., Sungwoo Hitech and Samsung Electronics go up and down completely randomly.
Pair Corralation between Sungwoo Hitech and Samsung Electronics
Assuming the 90 days trading horizon Sungwoo Hitech Co is expected to generate 1.4 times more return on investment than Samsung Electronics. However, Sungwoo Hitech is 1.4 times more volatile than Samsung Electronics Co. It trades about 0.17 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about 0.11 per unit of risk. If you would invest 498,000 in Sungwoo Hitech Co on December 26, 2024 and sell it today you would earn a total of 124,000 from holding Sungwoo Hitech Co or generate 24.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sungwoo Hitech Co vs. Samsung Electronics Co
Performance |
Timeline |
Sungwoo Hitech |
Samsung Electronics |
Sungwoo Hitech and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sungwoo Hitech and Samsung Electronics
The main advantage of trading using opposite Sungwoo Hitech and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sungwoo Hitech position performs unexpectedly, Samsung Electronics 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 Electronics will offset losses from the drop in Samsung Electronics' long position.Sungwoo Hitech vs. Ecoplastic | Sungwoo Hitech vs. Nable Communications | Sungwoo Hitech vs. Automobile Pc | Sungwoo Hitech vs. Hana Materials |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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