Correlation Between Sangsin Energy and Ssangyong Information
Can any of the company-specific risk be diversified away by investing in both Sangsin Energy and Ssangyong Information 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 Ssangyong Information 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 Ssangyong Information Communication, you can compare the effects of market volatilities on Sangsin Energy and Ssangyong Information 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 Ssangyong Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sangsin Energy and Ssangyong Information.
Diversification Opportunities for Sangsin Energy and Ssangyong Information
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sangsin and Ssangyong is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Sangsin Energy Display and Ssangyong Information Communic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ssangyong Information 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 Ssangyong Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ssangyong Information has no effect on the direction of Sangsin Energy i.e., Sangsin Energy and Ssangyong Information go up and down completely randomly.
Pair Corralation between Sangsin Energy and Ssangyong Information
Assuming the 90 days trading horizon Sangsin Energy is expected to generate 2.53 times less return on investment than Ssangyong Information. But when comparing it to its historical volatility, Sangsin Energy Display is 1.18 times less risky than Ssangyong Information. It trades about 0.06 of its potential returns per unit of risk. Ssangyong Information Communication is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 64,100 in Ssangyong Information Communication on December 1, 2024 and sell it today you would earn a total of 21,700 from holding Ssangyong Information Communication or generate 33.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sangsin Energy Display vs. Ssangyong Information Communic
Performance |
Timeline |
Sangsin Energy Display |
Ssangyong Information |
Sangsin Energy and Ssangyong Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sangsin Energy and Ssangyong Information
The main advantage of trading using opposite Sangsin Energy and Ssangyong Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sangsin Energy position performs unexpectedly, Ssangyong Information 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 Ssangyong Information will offset losses from the drop in Ssangyong Information's long position.Sangsin Energy vs. Bohae Brewery | Sangsin Energy vs. Aju IB Investment | Sangsin Energy vs. Pureun Mutual Savings | Sangsin Energy vs. KTB Investment Securities |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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