Correlation Between Gigasolar Materials and Sino American
Can any of the company-specific risk be diversified away by investing in both Gigasolar Materials and Sino American 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 Gigasolar Materials and Sino American into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gigasolar Materials and Sino American Silicon Products, you can compare the effects of market volatilities on Gigasolar Materials and Sino American 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 Gigasolar Materials with a short position of Sino American. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gigasolar Materials and Sino American.
Diversification Opportunities for Gigasolar Materials and Sino American
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Gigasolar and Sino is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Gigasolar Materials and Sino American Silicon Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sino American Silicon and Gigasolar Materials 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 Gigasolar Materials are associated (or correlated) with Sino American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sino American Silicon has no effect on the direction of Gigasolar Materials i.e., Gigasolar Materials and Sino American go up and down completely randomly.
Pair Corralation between Gigasolar Materials and Sino American
Assuming the 90 days trading horizon Gigasolar Materials is expected to generate 1.47 times more return on investment than Sino American. However, Gigasolar Materials is 1.47 times more volatile than Sino American Silicon Products. It trades about 0.33 of its potential returns per unit of risk. Sino American Silicon Products is currently generating about 0.38 per unit of risk. If you would invest 6,940 in Gigasolar Materials on December 2, 2024 and sell it today you would earn a total of 1,050 from holding Gigasolar Materials or generate 15.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gigasolar Materials vs. Sino American Silicon Products
Performance |
Timeline |
Gigasolar Materials |
Sino American Silicon |
Gigasolar Materials and Sino American Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gigasolar Materials and Sino American
The main advantage of trading using opposite Gigasolar Materials and Sino American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gigasolar Materials position performs unexpectedly, Sino American 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 Sino American will offset losses from the drop in Sino American's long position.Gigasolar Materials vs. AVerMedia Technologies | Gigasolar Materials vs. CVC Technologies | Gigasolar Materials vs. MediaTek | Gigasolar Materials vs. Univacco Technology |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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