Correlation Between Nordex SE and Xinjiang Goldwind
Can any of the company-specific risk be diversified away by investing in both Nordex SE and Xinjiang Goldwind 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 Nordex SE and Xinjiang Goldwind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nordex SE and Xinjiang Goldwind Science, you can compare the effects of market volatilities on Nordex SE and Xinjiang Goldwind 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 Nordex SE with a short position of Xinjiang Goldwind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nordex SE and Xinjiang Goldwind.
Diversification Opportunities for Nordex SE and Xinjiang Goldwind
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Nordex and Xinjiang is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Nordex SE and Xinjiang Goldwind Science in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xinjiang Goldwind Science and Nordex SE 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 Nordex SE are associated (or correlated) with Xinjiang Goldwind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xinjiang Goldwind Science has no effect on the direction of Nordex SE i.e., Nordex SE and Xinjiang Goldwind go up and down completely randomly.
Pair Corralation between Nordex SE and Xinjiang Goldwind
Assuming the 90 days horizon Nordex SE is expected to generate 1.6 times more return on investment than Xinjiang Goldwind. However, Nordex SE is 1.6 times more volatile than Xinjiang Goldwind Science. It trades about 0.13 of its potential returns per unit of risk. Xinjiang Goldwind Science is currently generating about -0.05 per unit of risk. If you would invest 619.00 in Nordex SE on December 30, 2024 and sell it today you would earn a total of 373.00 from holding Nordex SE or generate 60.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 89.23% |
Values | Daily Returns |
Nordex SE vs. Xinjiang Goldwind Science
Performance |
Timeline |
Nordex SE |
Xinjiang Goldwind Science |
Nordex SE and Xinjiang Goldwind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nordex SE and Xinjiang Goldwind
The main advantage of trading using opposite Nordex SE and Xinjiang Goldwind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nordex SE position performs unexpectedly, Xinjiang Goldwind 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 Xinjiang Goldwind will offset losses from the drop in Xinjiang Goldwind's long position.Nordex SE vs. Shanghai Electric Group | Nordex SE vs. Schneider Electric SA | Nordex SE vs. Xinjiang Goldwind Science | Nordex SE vs. Nordex SE |
Xinjiang Goldwind vs. Shanghai Electric Group | Xinjiang Goldwind vs. American Superconductor | Xinjiang Goldwind vs. Cummins |
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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