Correlation Between Sungmoon Electronics and Shinhan Inverse
Can any of the company-specific risk be diversified away by investing in both Sungmoon Electronics and Shinhan Inverse 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 Sungmoon Electronics and Shinhan Inverse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sungmoon Electronics Co and Shinhan Inverse Copper, you can compare the effects of market volatilities on Sungmoon Electronics and Shinhan Inverse 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 Sungmoon Electronics with a short position of Shinhan Inverse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sungmoon Electronics and Shinhan Inverse.
Diversification Opportunities for Sungmoon Electronics and Shinhan Inverse
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sungmoon and Shinhan is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Sungmoon Electronics Co and Shinhan Inverse Copper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinhan Inverse Copper and Sungmoon Electronics 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 Sungmoon Electronics Co are associated (or correlated) with Shinhan Inverse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinhan Inverse Copper has no effect on the direction of Sungmoon Electronics i.e., Sungmoon Electronics and Shinhan Inverse go up and down completely randomly.
Pair Corralation between Sungmoon Electronics and Shinhan Inverse
Assuming the 90 days trading horizon Sungmoon Electronics Co is expected to generate 4.89 times more return on investment than Shinhan Inverse. However, Sungmoon Electronics is 4.89 times more volatile than Shinhan Inverse Copper. It trades about 0.15 of its potential returns per unit of risk. Shinhan Inverse Copper is currently generating about 0.14 per unit of risk. If you would invest 405,500 in Sungmoon Electronics Co on October 10, 2024 and sell it today you would earn a total of 53,500 from holding Sungmoon Electronics Co or generate 13.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 94.74% |
Values | Daily Returns |
Sungmoon Electronics Co vs. Shinhan Inverse Copper
Performance |
Timeline |
Sungmoon Electronics |
Shinhan Inverse Copper |
Sungmoon Electronics and Shinhan Inverse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sungmoon Electronics and Shinhan Inverse
The main advantage of trading using opposite Sungmoon Electronics and Shinhan Inverse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sungmoon Electronics position performs unexpectedly, Shinhan Inverse 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 Shinhan Inverse will offset losses from the drop in Shinhan Inverse's long position.Sungmoon Electronics vs. Kg Chemical | Sungmoon Electronics vs. DRB Industrial Co | Sungmoon Electronics vs. Cheryong Industrial CoLtd | Sungmoon Electronics vs. Daejung Chemicals Metals |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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