Correlation Between KT Submarine and POSCO Holdings
Can any of the company-specific risk be diversified away by investing in both KT Submarine and POSCO Holdings 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 KT Submarine and POSCO Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KT Submarine Telecom and POSCO Holdings, you can compare the effects of market volatilities on KT Submarine and POSCO Holdings 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 KT Submarine with a short position of POSCO Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of KT Submarine and POSCO Holdings.
Diversification Opportunities for KT Submarine and POSCO Holdings
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 060370 and POSCO is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding KT Submarine Telecom and POSCO Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POSCO Holdings and KT Submarine 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 KT Submarine Telecom are associated (or correlated) with POSCO Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POSCO Holdings has no effect on the direction of KT Submarine i.e., KT Submarine and POSCO Holdings go up and down completely randomly.
Pair Corralation between KT Submarine and POSCO Holdings
Assuming the 90 days trading horizon KT Submarine Telecom is expected to generate 1.47 times more return on investment than POSCO Holdings. However, KT Submarine is 1.47 times more volatile than POSCO Holdings. It trades about -0.04 of its potential returns per unit of risk. POSCO Holdings is currently generating about -0.17 per unit of risk. If you would invest 1,529,000 in KT Submarine Telecom on August 28, 2024 and sell it today you would lose (108,000) from holding KT Submarine Telecom or give up 7.06% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
KT Submarine Telecom vs. POSCO Holdings
Performance |
| Timeline |
| KT Submarine Telecom |
| POSCO Holdings |
KT Submarine and POSCO Holdings Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KT Submarine and POSCO Holdings
The main advantage of trading using opposite KT Submarine and POSCO Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KT Submarine position performs unexpectedly, POSCO Holdings 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 POSCO Holdings will offset losses from the drop in POSCO Holdings' long position.| KT Submarine vs. AptaBio Therapeutics | KT Submarine vs. Daewoo SBI SPAC | KT Submarine vs. Dream Security co | KT Submarine vs. Microfriend |
| POSCO Holdings vs. TS Investment Corp | POSCO Holdings vs. KT Submarine Telecom | POSCO Holdings vs. Korea Information Communications | POSCO Holdings vs. ECSTELECOM 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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