Correlation Between GM and XinJiang GuoTong
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By analyzing existing cross correlation between General Motors and XinJiang GuoTong Pipeline, you can compare the effects of market volatilities on GM and XinJiang GuoTong 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 GM with a short position of XinJiang GuoTong. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and XinJiang GuoTong.
Diversification Opportunities for GM and XinJiang GuoTong
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and XinJiang is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and XinJiang GuoTong Pipeline in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XinJiang GuoTong Pipeline and GM 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 General Motors are associated (or correlated) with XinJiang GuoTong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XinJiang GuoTong Pipeline has no effect on the direction of GM i.e., GM and XinJiang GuoTong go up and down completely randomly.
Pair Corralation between GM and XinJiang GuoTong
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the XinJiang GuoTong. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.07 times less risky than XinJiang GuoTong. The stock trades about -0.06 of its potential returns per unit of risk. The XinJiang GuoTong Pipeline is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 869.00 in XinJiang GuoTong Pipeline on December 29, 2024 and sell it today you would earn a total of 53.00 from holding XinJiang GuoTong Pipeline or generate 6.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.08% |
Values | Daily Returns |
General Motors vs. XinJiang GuoTong Pipeline
Performance |
Timeline |
General Motors |
XinJiang GuoTong Pipeline |
GM and XinJiang GuoTong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and XinJiang GuoTong
The main advantage of trading using opposite GM and XinJiang GuoTong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, XinJiang GuoTong 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 GuoTong will offset losses from the drop in XinJiang GuoTong's long position.The idea behind General Motors and XinJiang GuoTong Pipeline pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.XinJiang GuoTong vs. Allied Machinery Co | XinJiang GuoTong vs. Guangdong Jinming Machinery | XinJiang GuoTong vs. Senci Electric Machinery | XinJiang GuoTong vs. Chongqing Changan Automobile |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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