Correlation Between GM and Yi Jinn
Can any of the company-specific risk be diversified away by investing in both GM and Yi Jinn 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 GM and Yi Jinn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Yi Jinn Industrial, you can compare the effects of market volatilities on GM and Yi Jinn 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 Yi Jinn. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Yi Jinn.
Diversification Opportunities for GM and Yi Jinn
Very good diversification
The 3 months correlation between GM and 1457 is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Yi Jinn Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yi Jinn Industrial 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 Yi Jinn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yi Jinn Industrial has no effect on the direction of GM i.e., GM and Yi Jinn go up and down completely randomly.
Pair Corralation between GM and Yi Jinn
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.49 times more return on investment than Yi Jinn. However, GM is 1.49 times more volatile than Yi Jinn Industrial. It trades about 0.11 of its potential returns per unit of risk. Yi Jinn Industrial is currently generating about 0.04 per unit of risk. If you would invest 2,884 in General Motors on September 17, 2024 and sell it today you would earn a total of 2,369 from holding General Motors or generate 82.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.28% |
Values | Daily Returns |
General Motors vs. Yi Jinn Industrial
Performance |
Timeline |
General Motors |
Yi Jinn Industrial |
GM and Yi Jinn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Yi Jinn
The main advantage of trading using opposite GM and Yi Jinn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Yi Jinn 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 Yi Jinn will offset losses from the drop in Yi Jinn's long position.The idea behind General Motors and Yi Jinn Industrial 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.Yi Jinn vs. Zig Sheng Industrial | Yi Jinn vs. Hong Yi Fiber | Yi Jinn vs. Lealea Enterprise Co | Yi Jinn vs. Shinkong Synthetic Fiber |
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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