Correlation Between SuperAlloy Industrial and Group Up
Can any of the company-specific risk be diversified away by investing in both SuperAlloy Industrial and Group Up 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 SuperAlloy Industrial and Group Up into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SuperAlloy Industrial Co, and Group Up Industrial, you can compare the effects of market volatilities on SuperAlloy Industrial and Group Up 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 SuperAlloy Industrial with a short position of Group Up. Check out your portfolio center. Please also check ongoing floating volatility patterns of SuperAlloy Industrial and Group Up.
Diversification Opportunities for SuperAlloy Industrial and Group Up
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SuperAlloy and Group is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding SuperAlloy Industrial Co, and Group Up Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Group Up Industrial and SuperAlloy Industrial 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 SuperAlloy Industrial Co, are associated (or correlated) with Group Up. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Group Up Industrial has no effect on the direction of SuperAlloy Industrial i.e., SuperAlloy Industrial and Group Up go up and down completely randomly.
Pair Corralation between SuperAlloy Industrial and Group Up
Assuming the 90 days trading horizon SuperAlloy Industrial Co, is expected to generate 0.82 times more return on investment than Group Up. However, SuperAlloy Industrial Co, is 1.22 times less risky than Group Up. It trades about 0.25 of its potential returns per unit of risk. Group Up Industrial is currently generating about -0.15 per unit of risk. If you would invest 5,460 in SuperAlloy Industrial Co, on December 25, 2024 and sell it today you would earn a total of 1,410 from holding SuperAlloy Industrial Co, or generate 25.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SuperAlloy Industrial Co, vs. Group Up Industrial
Performance |
Timeline |
SuperAlloy Industrial Co, |
Group Up Industrial |
SuperAlloy Industrial and Group Up Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SuperAlloy Industrial and Group Up
The main advantage of trading using opposite SuperAlloy Industrial and Group Up positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SuperAlloy Industrial position performs unexpectedly, Group Up 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 Group Up will offset losses from the drop in Group Up's long position.SuperAlloy Industrial vs. Logah Technology Corp | SuperAlloy Industrial vs. Min Aik Technology | SuperAlloy Industrial vs. Formosa Plastics Corp | SuperAlloy Industrial vs. Chung Lien Transportation |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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