Correlation Between Sejong Telecom and Dongbang Ship
Can any of the company-specific risk be diversified away by investing in both Sejong Telecom and Dongbang Ship 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 Sejong Telecom and Dongbang Ship into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sejong Telecom and Dongbang Ship Machinery, you can compare the effects of market volatilities on Sejong Telecom and Dongbang Ship 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 Sejong Telecom with a short position of Dongbang Ship. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sejong Telecom and Dongbang Ship.
Diversification Opportunities for Sejong Telecom and Dongbang Ship
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sejong and Dongbang is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Sejong Telecom and Dongbang Ship Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbang Ship Machinery and Sejong Telecom 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 Sejong Telecom are associated (or correlated) with Dongbang Ship. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongbang Ship Machinery has no effect on the direction of Sejong Telecom i.e., Sejong Telecom and Dongbang Ship go up and down completely randomly.
Pair Corralation between Sejong Telecom and Dongbang Ship
Assuming the 90 days trading horizon Sejong Telecom is expected to under-perform the Dongbang Ship. In addition to that, Sejong Telecom is 1.22 times more volatile than Dongbang Ship Machinery. It trades about -0.03 of its total potential returns per unit of risk. Dongbang Ship Machinery is currently generating about 0.02 per unit of volatility. If you would invest 277,500 in Dongbang Ship Machinery on September 29, 2024 and sell it today you would earn a total of 26,000 from holding Dongbang Ship Machinery or generate 9.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 94.4% |
Values | Daily Returns |
Sejong Telecom vs. Dongbang Ship Machinery
Performance |
Timeline |
Sejong Telecom |
Dongbang Ship Machinery |
Sejong Telecom and Dongbang Ship Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sejong Telecom and Dongbang Ship
The main advantage of trading using opposite Sejong Telecom and Dongbang Ship positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sejong Telecom position performs unexpectedly, Dongbang Ship 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 Dongbang Ship will offset losses from the drop in Dongbang Ship's long position.Sejong Telecom vs. Samsung Electronics Co | Sejong Telecom vs. Samsung Electronics Co | Sejong Telecom vs. KB Financial Group | Sejong Telecom vs. Shinhan Financial Group |
Dongbang Ship vs. ECSTELECOM Co | Dongbang Ship vs. Homecast CoLtd | Dongbang Ship vs. Sejong Telecom | Dongbang Ship vs. Lotte Chilsung Beverage |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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