Correlation Between Yi Jinn and SuperAlloy Industrial
Can any of the company-specific risk be diversified away by investing in both Yi Jinn and SuperAlloy Industrial 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 Yi Jinn and SuperAlloy Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yi Jinn Industrial and SuperAlloy Industrial Co,, you can compare the effects of market volatilities on Yi Jinn and SuperAlloy Industrial 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 Yi Jinn with a short position of SuperAlloy Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yi Jinn and SuperAlloy Industrial.
Diversification Opportunities for Yi Jinn and SuperAlloy Industrial
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between 1457 and SuperAlloy is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Yi Jinn Industrial and SuperAlloy Industrial Co, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SuperAlloy Industrial Co, and Yi Jinn 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 Yi Jinn Industrial are associated (or correlated) with SuperAlloy Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SuperAlloy Industrial Co, has no effect on the direction of Yi Jinn i.e., Yi Jinn and SuperAlloy Industrial go up and down completely randomly.
Pair Corralation between Yi Jinn and SuperAlloy Industrial
Assuming the 90 days trading horizon Yi Jinn is expected to generate 4.32 times less return on investment than SuperAlloy Industrial. But when comparing it to its historical volatility, Yi Jinn Industrial is 1.74 times less risky than SuperAlloy Industrial. It trades about 0.1 of its potential returns per unit of risk. SuperAlloy Industrial Co, is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 5,440 in SuperAlloy Industrial Co, on December 24, 2024 and sell it today you would earn a total of 1,430 from holding SuperAlloy Industrial Co, or generate 26.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Yi Jinn Industrial vs. SuperAlloy Industrial Co,
Performance |
Timeline |
Yi Jinn Industrial |
SuperAlloy Industrial Co, |
Yi Jinn and SuperAlloy Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yi Jinn and SuperAlloy Industrial
The main advantage of trading using opposite Yi Jinn and SuperAlloy Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yi Jinn position performs unexpectedly, SuperAlloy Industrial 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 SuperAlloy Industrial will offset losses from the drop in SuperAlloy Industrial's long position.Yi Jinn vs. Zig Sheng Industrial | Yi Jinn vs. Hong Yi Fiber | Yi Jinn vs. Lealea Enterprise Co | Yi Jinn vs. Shinkong Synthetic Fiber |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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