Correlation Between Great China and Softstar Entertainment
Can any of the company-specific risk be diversified away by investing in both Great China and Softstar Entertainment 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 Great China and Softstar Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great China Metal and Softstar Entertainment, you can compare the effects of market volatilities on Great China and Softstar Entertainment 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 Great China with a short position of Softstar Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great China and Softstar Entertainment.
Diversification Opportunities for Great China and Softstar Entertainment
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Great and Softstar is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Great China Metal and Softstar Entertainment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Softstar Entertainment and Great China 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 Great China Metal are associated (or correlated) with Softstar Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Softstar Entertainment has no effect on the direction of Great China i.e., Great China and Softstar Entertainment go up and down completely randomly.
Pair Corralation between Great China and Softstar Entertainment
Assuming the 90 days trading horizon Great China Metal is expected to generate 0.18 times more return on investment than Softstar Entertainment. However, Great China Metal is 5.49 times less risky than Softstar Entertainment. It trades about -0.14 of its potential returns per unit of risk. Softstar Entertainment is currently generating about -0.14 per unit of risk. If you would invest 2,310 in Great China Metal on September 27, 2024 and sell it today you would lose (20.00) from holding Great China Metal or give up 0.87% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Great China Metal vs. Softstar Entertainment
Performance |
Timeline |
Great China Metal |
Softstar Entertainment |
Great China and Softstar Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great China and Softstar Entertainment
The main advantage of trading using opposite Great China and Softstar Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great China position performs unexpectedly, Softstar Entertainment 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 Softstar Entertainment will offset losses from the drop in Softstar Entertainment's long position.Great China vs. Formosa Chemicals Fibre | Great China vs. China Steel Corp | Great China vs. Formosa Petrochemical Corp | Great China vs. Cathay Financial Holding |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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