Correlation Between Xinjiang Goldwind and Alfa Laval
Can any of the company-specific risk be diversified away by investing in both Xinjiang Goldwind and Alfa Laval 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 Alfa Laval 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 Alfa Laval AB, you can compare the effects of market volatilities on Xinjiang Goldwind and Alfa Laval 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 Alfa Laval. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinjiang Goldwind and Alfa Laval.
Diversification Opportunities for Xinjiang Goldwind and Alfa Laval
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Xinjiang and Alfa is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Xinjiang Goldwind Science and Alfa Laval AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alfa Laval AB 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 Alfa Laval. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alfa Laval AB has no effect on the direction of Xinjiang Goldwind i.e., Xinjiang Goldwind and Alfa Laval go up and down completely randomly.
Pair Corralation between Xinjiang Goldwind and Alfa Laval
Assuming the 90 days horizon Xinjiang Goldwind Science is expected to generate 7.63 times more return on investment than Alfa Laval. However, Xinjiang Goldwind is 7.63 times more volatile than Alfa Laval AB. It trades about 0.07 of its potential returns per unit of risk. Alfa Laval AB is currently generating about -0.22 per unit of risk. If you would invest 86.00 in Xinjiang Goldwind Science on September 13, 2024 and sell it today you would earn a total of 5.00 from holding Xinjiang Goldwind Science or generate 5.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Xinjiang Goldwind Science vs. Alfa Laval AB
Performance |
Timeline |
Xinjiang Goldwind Science |
Alfa Laval AB |
Xinjiang Goldwind and Alfa Laval Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xinjiang Goldwind and Alfa Laval
The main advantage of trading using opposite Xinjiang Goldwind and Alfa Laval positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinjiang Goldwind position performs unexpectedly, Alfa Laval 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 Alfa Laval will offset losses from the drop in Alfa Laval's long position.Xinjiang Goldwind vs. Shanghai Electric Group | Xinjiang Goldwind vs. American Superconductor | Xinjiang Goldwind vs. Cummins |
Alfa Laval vs. Xinjiang Goldwind Science | Alfa Laval vs. American Superconductor | Alfa Laval vs. Cummins | Alfa Laval vs. Aquagold International |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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