Correlation Between Doosan Heavy and KT Submarine
Can any of the company-specific risk be diversified away by investing in both Doosan Heavy 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 Doosan Heavy and KT Submarine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Doosan Heavy Ind and KT Submarine Telecom, you can compare the effects of market volatilities on Doosan Heavy 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 Doosan Heavy with a short position of KT Submarine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Doosan Heavy and KT Submarine.
Diversification Opportunities for Doosan Heavy and KT Submarine
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Doosan and 060370 is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Doosan Heavy Ind 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 Doosan Heavy 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 Doosan Heavy Ind 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 Doosan Heavy i.e., Doosan Heavy and KT Submarine go up and down completely randomly.
Pair Corralation between Doosan Heavy and KT Submarine
Assuming the 90 days trading horizon Doosan Heavy Ind is expected to generate 0.84 times more return on investment than KT Submarine. However, Doosan Heavy Ind is 1.19 times less risky than KT Submarine. It trades about 0.01 of its potential returns per unit of risk. KT Submarine Telecom is currently generating about -0.03 per unit of risk. If you would invest 1,827,000 in Doosan Heavy Ind on October 6, 2024 and sell it today you would lose (21,000) from holding Doosan Heavy Ind or give up 1.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Doosan Heavy Ind vs. KT Submarine Telecom
Performance |
Timeline |
Doosan Heavy Ind |
KT Submarine Telecom |
Doosan Heavy and KT Submarine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Doosan Heavy and KT Submarine
The main advantage of trading using opposite Doosan Heavy and KT Submarine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Doosan Heavy 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.Doosan Heavy vs. Nice Information Telecommunication | Doosan Heavy vs. Daesung Hi Tech Co | Doosan Heavy vs. Moadata Co | Doosan Heavy vs. Digital Power Communications |
KT Submarine vs. Wonbang Tech Co | KT Submarine vs. Daiyang Metal Co | KT Submarine vs. Solution Advanced Technology | KT Submarine vs. Busan Industrial 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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