Correlation Between SMC Corp and Xinjiang Goldwind
Can any of the company-specific risk be diversified away by investing in both SMC Corp 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 SMC Corp and Xinjiang Goldwind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SMC Corp Japan and Xinjiang Goldwind Science, you can compare the effects of market volatilities on SMC Corp 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 SMC Corp with a short position of Xinjiang Goldwind. Check out your portfolio center. Please also check ongoing floating volatility patterns of SMC Corp and Xinjiang Goldwind.
Diversification Opportunities for SMC Corp and Xinjiang Goldwind
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between SMC and Xinjiang is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding SMC Corp Japan 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 SMC Corp 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 SMC Corp Japan 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 SMC Corp i.e., SMC Corp and Xinjiang Goldwind go up and down completely randomly.
Pair Corralation between SMC Corp and Xinjiang Goldwind
Assuming the 90 days horizon SMC Corp is expected to generate 346.28 times less return on investment than Xinjiang Goldwind. But when comparing it to its historical volatility, SMC Corp Japan is 3.27 times less risky than Xinjiang Goldwind. It trades about 0.0 of its potential returns per unit of risk. Xinjiang Goldwind Science is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 61.00 in Xinjiang Goldwind Science on August 31, 2024 and sell it today you would earn a total of 19.00 from holding Xinjiang Goldwind Science or generate 31.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SMC Corp Japan vs. Xinjiang Goldwind Science
Performance |
Timeline |
SMC Corp Japan |
Xinjiang Goldwind Science |
SMC Corp and Xinjiang Goldwind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SMC Corp and Xinjiang Goldwind
The main advantage of trading using opposite SMC Corp and Xinjiang Goldwind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SMC Corp 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.SMC Corp vs. GE Aerospace | SMC Corp vs. Eaton PLC | SMC Corp vs. Siemens AG Class | SMC Corp vs. Schneider Electric SA |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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