Correlation Between Xinyi Solar and Canadian Solar
Can any of the company-specific risk be diversified away by investing in both Xinyi Solar and Canadian Solar 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 Xinyi Solar and Canadian Solar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xinyi Solar Holdings and Canadian Solar, you can compare the effects of market volatilities on Xinyi Solar and Canadian Solar 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 Xinyi Solar with a short position of Canadian Solar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinyi Solar and Canadian Solar.
Diversification Opportunities for Xinyi Solar and Canadian Solar
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Xinyi and Canadian is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Xinyi Solar Holdings and Canadian Solar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canadian Solar and Xinyi 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 Xinyi Solar Holdings are associated (or correlated) with Canadian Solar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canadian Solar has no effect on the direction of Xinyi Solar i.e., Xinyi Solar and Canadian Solar go up and down completely randomly.
Pair Corralation between Xinyi Solar and Canadian Solar
Assuming the 90 days horizon Xinyi Solar Holdings is expected to generate 0.54 times more return on investment than Canadian Solar. However, Xinyi Solar Holdings is 1.87 times less risky than Canadian Solar. It trades about -0.08 of its potential returns per unit of risk. Canadian Solar is currently generating about -0.09 per unit of risk. If you would invest 43.00 in Xinyi Solar Holdings on August 28, 2024 and sell it today you would lose (3.00) from holding Xinyi Solar Holdings or give up 6.98% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Xinyi Solar Holdings vs. Canadian Solar
Performance |
| Timeline |
| Xinyi Solar Holdings |
| Canadian Solar |
Xinyi Solar and Canadian Solar Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Xinyi Solar and Canadian Solar
The main advantage of trading using opposite Xinyi Solar and Canadian Solar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinyi Solar position performs unexpectedly, Canadian Solar 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 Canadian Solar will offset losses from the drop in Canadian Solar's long position.| Xinyi Solar vs. SMA Solar Technology | Xinyi Solar vs. SMA Solar Technology | Xinyi Solar vs. GCL Poly Energy Holdings | Xinyi Solar vs. Three Sixty Solar |
| Canadian Solar vs. Maxeon Solar Technologies | Canadian Solar vs. SolarEdge Technologies | Canadian Solar vs. Sunnova Energy International | Canadian Solar vs. Enphase Energy |
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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