Correlation Between Sangsin Energy and Sejong Telecom
Can any of the company-specific risk be diversified away by investing in both Sangsin Energy and Sejong Telecom 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 Sangsin Energy and Sejong Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sangsin Energy Display and Sejong Telecom, you can compare the effects of market volatilities on Sangsin Energy and Sejong Telecom 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 Sangsin Energy with a short position of Sejong Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sangsin Energy and Sejong Telecom.
Diversification Opportunities for Sangsin Energy and Sejong Telecom
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sangsin and Sejong is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Sangsin Energy Display and Sejong Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sejong Telecom and Sangsin Energy 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 Sangsin Energy Display are associated (or correlated) with Sejong Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sejong Telecom has no effect on the direction of Sangsin Energy i.e., Sangsin Energy and Sejong Telecom go up and down completely randomly.
Pair Corralation between Sangsin Energy and Sejong Telecom
Assuming the 90 days trading horizon Sangsin Energy Display is expected to generate 2.53 times more return on investment than Sejong Telecom. However, Sangsin Energy is 2.53 times more volatile than Sejong Telecom. It trades about -0.03 of its potential returns per unit of risk. Sejong Telecom is currently generating about -0.27 per unit of risk. If you would invest 790,000 in Sangsin Energy Display on September 22, 2024 and sell it today you would lose (29,000) from holding Sangsin Energy Display or give up 3.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sangsin Energy Display vs. Sejong Telecom
Performance |
Timeline |
Sangsin Energy Display |
Sejong Telecom |
Sangsin Energy and Sejong Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sangsin Energy and Sejong Telecom
The main advantage of trading using opposite Sangsin Energy and Sejong Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sangsin Energy position performs unexpectedly, Sejong Telecom 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 Sejong Telecom will offset losses from the drop in Sejong Telecom's long position.Sangsin Energy vs. Busan Industrial Co | Sangsin Energy vs. Busan Ind | Sangsin Energy vs. Mirae Asset Daewoo | Sangsin Energy vs. Shinhan WTI Futures |
Sejong Telecom vs. Samsung Electronics Co | Sejong Telecom vs. Samsung Electronics Co | Sejong Telecom vs. KB Financial Group | Sejong Telecom vs. Shinhan Financial Group |
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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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