Correlation Between Samsung Electronics and Young Poong
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Young Poong 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 Samsung Electronics and Young Poong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Young Poong Precision, you can compare the effects of market volatilities on Samsung Electronics and Young Poong 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 Samsung Electronics with a short position of Young Poong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Young Poong.
Diversification Opportunities for Samsung Electronics and Young Poong
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Samsung and Young is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Young Poong Precision in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Young Poong Precision and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with Young Poong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Young Poong Precision has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Young Poong go up and down completely randomly.
Pair Corralation between Samsung Electronics and Young Poong
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.5 times more return on investment than Young Poong. However, Samsung Electronics Co is 2.0 times less risky than Young Poong. It trades about 0.03 of its potential returns per unit of risk. Young Poong Precision is currently generating about -0.1 per unit of risk. If you would invest 5,591,871 in Samsung Electronics Co on November 27, 2024 and sell it today you would earn a total of 138,129 from holding Samsung Electronics Co or generate 2.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Samsung Electronics Co vs. Young Poong Precision
Performance |
| Timeline |
| Samsung Electronics |
| Young Poong Precision |
Samsung Electronics and Young Poong Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Samsung Electronics and Young Poong
The main advantage of trading using opposite Samsung Electronics and Young Poong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Young Poong 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 Young Poong will offset losses from the drop in Young Poong's long position.| Samsung Electronics vs. GS Retail Co | Samsung Electronics vs. Jb Financial | Samsung Electronics vs. Hana Financial | Samsung Electronics vs. Miwon Chemicals 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 Transaction History module to view history of all your transactions and understand their impact on performance.
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