Correlation Between Daiyang Metal and KT Submarine
Can any of the company-specific risk be diversified away by investing in both Daiyang Metal and KT Submarine 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 Daiyang Metal and KT Submarine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daiyang Metal Co and KT Submarine Telecom, you can compare the effects of market volatilities on Daiyang Metal and KT Submarine 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 Daiyang Metal with a short position of KT Submarine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daiyang Metal and KT Submarine.
Diversification Opportunities for Daiyang Metal and KT Submarine
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Daiyang and 060370 is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Daiyang Metal Co and KT Submarine Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KT Submarine Telecom and Daiyang Metal 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 Daiyang Metal Co are associated (or correlated) with KT Submarine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KT Submarine Telecom has no effect on the direction of Daiyang Metal i.e., Daiyang Metal and KT Submarine go up and down completely randomly.
Pair Corralation between Daiyang Metal and KT Submarine
Assuming the 90 days trading horizon Daiyang Metal Co is expected to under-perform the KT Submarine. In addition to that, Daiyang Metal is 1.45 times more volatile than KT Submarine Telecom. It trades about -0.02 of its total potential returns per unit of risk. KT Submarine Telecom is currently generating about 0.07 per unit of volatility. If you would invest 767,000 in KT Submarine Telecom on October 16, 2024 and sell it today you would earn a total of 878,000 from holding KT Submarine Telecom or generate 114.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 94.92% |
| Values | Daily Returns |
Daiyang Metal Co vs. KT Submarine Telecom
Performance |
| Timeline |
| Daiyang Metal |
| KT Submarine Telecom |
Daiyang Metal and KT Submarine Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Daiyang Metal and KT Submarine
The main advantage of trading using opposite Daiyang Metal and KT Submarine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daiyang Metal position performs unexpectedly, KT Submarine 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 KT Submarine will offset losses from the drop in KT Submarine's long position.| Daiyang Metal vs. Hanmi Semiconductor Co | Daiyang Metal vs. ITM Semiconductor Co | Daiyang Metal vs. PI Advanced Materials | Daiyang Metal vs. Seoul Semiconductor Co |
| KT Submarine vs. Incar Financial Service | KT Submarine vs. KB Financial Group | KT Submarine vs. MetaLabs Co | KT Submarine vs. Dongil Metal Co |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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