Correlation Between China Solar and Grayscale Stellar
Can any of the company-specific risk be diversified away by investing in both China Solar and Grayscale Stellar 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 China Solar and Grayscale Stellar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Solar Cln and Grayscale Stellar Lumens, you can compare the effects of market volatilities on China Solar and Grayscale Stellar 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 China Solar with a short position of Grayscale Stellar. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Solar and Grayscale Stellar.
Diversification Opportunities for China Solar and Grayscale Stellar
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between China and Grayscale is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding China Solar Cln and Grayscale Stellar Lumens in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grayscale Stellar Lumens and China Solar 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 China Solar Cln are associated (or correlated) with Grayscale Stellar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grayscale Stellar Lumens has no effect on the direction of China Solar i.e., China Solar and Grayscale Stellar go up and down completely randomly.
Pair Corralation between China Solar and Grayscale Stellar
Given the investment horizon of 90 days China Solar Cln is expected to generate 2.41 times more return on investment than Grayscale Stellar. However, China Solar is 2.41 times more volatile than Grayscale Stellar Lumens. It trades about 0.07 of its potential returns per unit of risk. Grayscale Stellar Lumens is currently generating about 0.09 per unit of risk. If you would invest 5.00 in China Solar Cln on March 2, 2024 and sell it today you would lose (2.00) from holding China Solar Cln or give up 40.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Solar Cln vs. Grayscale Stellar Lumens
Performance |
Timeline |
China Solar Cln |
Grayscale Stellar Lumens |
China Solar and Grayscale Stellar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Solar and Grayscale Stellar
The main advantage of trading using opposite China Solar and Grayscale Stellar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Solar position performs unexpectedly, Grayscale Stellar 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 Grayscale Stellar will offset losses from the drop in Grayscale Stellar's long position.China Solar vs. Argo Blockchain PLC | China Solar vs. Dmg Blockchain Solutions | China Solar vs. APAC Resources Limited | China Solar vs. Arcane Crypto AB |
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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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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