Correlation Between Cheryong Electric and Pureun Mutual
Can any of the company-specific risk be diversified away by investing in both Cheryong Electric and Pureun Mutual 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 Cheryong Electric and Pureun Mutual into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cheryong Electric CoLtd and Pureun Mutual Savings, you can compare the effects of market volatilities on Cheryong Electric and Pureun Mutual 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 Cheryong Electric with a short position of Pureun Mutual. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheryong Electric and Pureun Mutual.
Diversification Opportunities for Cheryong Electric and Pureun Mutual
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Cheryong and Pureun is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Cheryong Electric CoLtd and Pureun Mutual Savings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pureun Mutual Savings and Cheryong Electric 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 Cheryong Electric CoLtd are associated (or correlated) with Pureun Mutual. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pureun Mutual Savings has no effect on the direction of Cheryong Electric i.e., Cheryong Electric and Pureun Mutual go up and down completely randomly.
Pair Corralation between Cheryong Electric and Pureun Mutual
Assuming the 90 days trading horizon Cheryong Electric CoLtd is expected to under-perform the Pureun Mutual. In addition to that, Cheryong Electric is 7.29 times more volatile than Pureun Mutual Savings. It trades about -0.11 of its total potential returns per unit of risk. Pureun Mutual Savings is currently generating about -0.08 per unit of volatility. If you would invest 851,000 in Pureun Mutual Savings on December 26, 2024 and sell it today you would lose (18,000) from holding Pureun Mutual Savings or give up 2.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.28% |
Values | Daily Returns |
Cheryong Electric CoLtd vs. Pureun Mutual Savings
Performance |
Timeline |
Cheryong Electric CoLtd |
Pureun Mutual Savings |
Cheryong Electric and Pureun Mutual Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cheryong Electric and Pureun Mutual
The main advantage of trading using opposite Cheryong Electric and Pureun Mutual positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheryong Electric position performs unexpectedly, Pureun Mutual 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 Pureun Mutual will offset losses from the drop in Pureun Mutual's long position.Cheryong Electric vs. KB Financial Group | Cheryong Electric vs. DB Financial Investment | Cheryong Electric vs. CKH Food Health | Cheryong Electric vs. Seoul Food Industrial |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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