Correlation Between Xinjiang Goldwind and Sparta Capital
Can any of the company-specific risk be diversified away by investing in both Xinjiang Goldwind and Sparta Capital 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 Xinjiang Goldwind and Sparta Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xinjiang Goldwind Science and Sparta Capital, you can compare the effects of market volatilities on Xinjiang Goldwind and Sparta Capital 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 Xinjiang Goldwind with a short position of Sparta Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinjiang Goldwind and Sparta Capital.
Diversification Opportunities for Xinjiang Goldwind and Sparta Capital
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Xinjiang and Sparta is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Xinjiang Goldwind Science and Sparta Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sparta Capital and Xinjiang Goldwind 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 Xinjiang Goldwind Science are associated (or correlated) with Sparta Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sparta Capital has no effect on the direction of Xinjiang Goldwind i.e., Xinjiang Goldwind and Sparta Capital go up and down completely randomly.
Pair Corralation between Xinjiang Goldwind and Sparta Capital
Assuming the 90 days horizon Xinjiang Goldwind Science is expected to generate 0.59 times more return on investment than Sparta Capital. However, Xinjiang Goldwind Science is 1.71 times less risky than Sparta Capital. It trades about 0.09 of its potential returns per unit of risk. Sparta Capital is currently generating about 0.04 per unit of risk. If you would invest 48.00 in Xinjiang Goldwind Science on September 14, 2024 and sell it today you would earn a total of 43.00 from holding Xinjiang Goldwind Science or generate 89.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 69.4% |
Values | Daily Returns |
Xinjiang Goldwind Science vs. Sparta Capital
Performance |
Timeline |
Xinjiang Goldwind Science |
Sparta Capital |
Xinjiang Goldwind and Sparta Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xinjiang Goldwind and Sparta Capital
The main advantage of trading using opposite Xinjiang Goldwind and Sparta Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinjiang Goldwind position performs unexpectedly, Sparta Capital 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 Sparta Capital will offset losses from the drop in Sparta Capital's long position.Xinjiang Goldwind vs. Shanghai Electric Group | Xinjiang Goldwind vs. American Superconductor | Xinjiang Goldwind vs. Cummins |
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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 Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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