Correlation Between GM and Infore Environment
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By analyzing existing cross correlation between General Motors and Infore Environment Technology, you can compare the effects of market volatilities on GM and Infore Environment 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 Infore Environment. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Infore Environment.
Diversification Opportunities for GM and Infore Environment
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Infore is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Infore Environment Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infore Environment 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 Infore Environment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Infore Environment has no effect on the direction of GM i.e., GM and Infore Environment go up and down completely randomly.
Pair Corralation between GM and Infore Environment
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Infore Environment. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.53 times less risky than Infore Environment. The stock trades about -0.02 of its potential returns per unit of risk. The Infore Environment Technology is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 496.00 in Infore Environment Technology on December 20, 2024 and sell it today you would earn a total of 166.00 from holding Infore Environment Technology or generate 33.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 96.67% |
Values | Daily Returns |
General Motors vs. Infore Environment Technology
Performance |
Timeline |
General Motors |
Infore Environment |
GM and Infore Environment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Infore Environment
The main advantage of trading using opposite GM and Infore Environment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Infore Environment 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 Infore Environment will offset losses from the drop in Infore Environment's long position.The idea behind General Motors and Infore Environment Technology 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.Infore Environment vs. Lecron Energy Saving | Infore Environment vs. Bohai Leasing Co | Infore Environment vs. Sino Platinum Metals Co | Infore Environment vs. Hua Xia Bank |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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