Correlation Between Jeong Moon and KT Submarine
Can any of the company-specific risk be diversified away by investing in both Jeong Moon 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 Jeong Moon and KT Submarine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jeong Moon Information and KT Submarine Telecom, you can compare the effects of market volatilities on Jeong Moon 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 Jeong Moon with a short position of KT Submarine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jeong Moon and KT Submarine.
Diversification Opportunities for Jeong Moon and KT Submarine
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Jeong and 060370 is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Jeong Moon Information 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 Jeong Moon 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 Jeong Moon Information 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 Jeong Moon i.e., Jeong Moon and KT Submarine go up and down completely randomly.
Pair Corralation between Jeong Moon and KT Submarine
Assuming the 90 days trading horizon Jeong Moon Information is expected to generate 0.49 times more return on investment than KT Submarine. However, Jeong Moon Information is 2.02 times less risky than KT Submarine. It trades about -0.14 of its potential returns per unit of risk. KT Submarine Telecom is currently generating about -0.1 per unit of risk. If you would invest 89,500 in Jeong Moon Information on September 12, 2024 and sell it today you would lose (13,800) from holding Jeong Moon Information or give up 15.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jeong Moon Information vs. KT Submarine Telecom
Performance |
Timeline |
Jeong Moon Information |
KT Submarine Telecom |
Jeong Moon and KT Submarine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jeong Moon and KT Submarine
The main advantage of trading using opposite Jeong Moon and KT Submarine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jeong Moon 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.Jeong Moon vs. ECSTELECOM Co | Jeong Moon vs. Korean Air Lines | Jeong Moon vs. Tway Air Co | Jeong Moon vs. Ssangyong Information Communication |
KT Submarine vs. Samsung Electronics Co | KT Submarine vs. Samsung Electronics Co | KT Submarine vs. SK Hynix | KT Submarine vs. POSCO Holdings |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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