Correlation Between Xinjiang Goldwind and Mitsubishi Heavy
Can any of the company-specific risk be diversified away by investing in both Xinjiang Goldwind and Mitsubishi Heavy 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 Mitsubishi Heavy 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 Mitsubishi Heavy Industries, you can compare the effects of market volatilities on Xinjiang Goldwind and Mitsubishi Heavy 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 Mitsubishi Heavy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinjiang Goldwind and Mitsubishi Heavy.
Diversification Opportunities for Xinjiang Goldwind and Mitsubishi Heavy
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Xinjiang and Mitsubishi is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Xinjiang Goldwind Science and Mitsubishi Heavy Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitsubishi Heavy Ind 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 Mitsubishi Heavy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitsubishi Heavy Ind has no effect on the direction of Xinjiang Goldwind i.e., Xinjiang Goldwind and Mitsubishi Heavy go up and down completely randomly.
Pair Corralation between Xinjiang Goldwind and Mitsubishi Heavy
Assuming the 90 days horizon Xinjiang Goldwind Science is expected to generate 2.33 times more return on investment than Mitsubishi Heavy. However, Xinjiang Goldwind is 2.33 times more volatile than Mitsubishi Heavy Industries. It trades about 0.14 of its potential returns per unit of risk. Mitsubishi Heavy Industries is currently generating about 0.16 per unit of risk. If you would invest 56.00 in Xinjiang Goldwind Science on September 13, 2024 and sell it today you would earn a total of 35.00 from holding Xinjiang Goldwind Science or generate 62.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Xinjiang Goldwind Science vs. Mitsubishi Heavy Industries
Performance |
Timeline |
Xinjiang Goldwind Science |
Mitsubishi Heavy Ind |
Xinjiang Goldwind and Mitsubishi Heavy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xinjiang Goldwind and Mitsubishi Heavy
The main advantage of trading using opposite Xinjiang Goldwind and Mitsubishi Heavy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinjiang Goldwind position performs unexpectedly, Mitsubishi Heavy 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 Mitsubishi Heavy will offset losses from the drop in Mitsubishi Heavy'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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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