Correlation Between MetaLabs and Sungchang Autotech
Can any of the company-specific risk be diversified away by investing in both MetaLabs and Sungchang Autotech 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 MetaLabs and Sungchang Autotech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MetaLabs Co and Sungchang Autotech Co, you can compare the effects of market volatilities on MetaLabs and Sungchang Autotech 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 MetaLabs with a short position of Sungchang Autotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of MetaLabs and Sungchang Autotech.
Diversification Opportunities for MetaLabs and Sungchang Autotech
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MetaLabs and Sungchang is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding MetaLabs Co and Sungchang Autotech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sungchang Autotech and MetaLabs 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 MetaLabs Co are associated (or correlated) with Sungchang Autotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sungchang Autotech has no effect on the direction of MetaLabs i.e., MetaLabs and Sungchang Autotech go up and down completely randomly.
Pair Corralation between MetaLabs and Sungchang Autotech
Assuming the 90 days trading horizon MetaLabs Co is expected to generate 1.18 times more return on investment than Sungchang Autotech. However, MetaLabs is 1.18 times more volatile than Sungchang Autotech Co. It trades about 0.22 of its potential returns per unit of risk. Sungchang Autotech Co is currently generating about 0.14 per unit of risk. If you would invest 122,600 in MetaLabs Co on October 6, 2024 and sell it today you would earn a total of 13,400 from holding MetaLabs Co or generate 10.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
MetaLabs Co vs. Sungchang Autotech Co
Performance |
Timeline |
MetaLabs |
Sungchang Autotech |
MetaLabs and Sungchang Autotech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MetaLabs and Sungchang Autotech
The main advantage of trading using opposite MetaLabs and Sungchang Autotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MetaLabs position performs unexpectedly, Sungchang Autotech 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 Sungchang Autotech will offset losses from the drop in Sungchang Autotech's long position.MetaLabs vs. Daishin Balance No8 | MetaLabs vs. Dragonfly GF Co | MetaLabs vs. Daiyang Metal Co | MetaLabs vs. Solution Advanced Technology |
Sungchang Autotech vs. Daishin Balance No8 | Sungchang Autotech vs. Dragonfly GF Co | Sungchang Autotech vs. Daiyang Metal Co | Sungchang Autotech vs. Solution Advanced Technology |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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