Correlation Between GM and Yeong Guan
Can any of the company-specific risk be diversified away by investing in both GM and Yeong Guan 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 Yeong Guan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Yeong Guan Energy, you can compare the effects of market volatilities on GM and Yeong Guan 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 Yeong Guan. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Yeong Guan.
Diversification Opportunities for GM and Yeong Guan
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Yeong is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Yeong Guan Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yeong Guan Energy 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 Yeong Guan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yeong Guan Energy has no effect on the direction of GM i.e., GM and Yeong Guan go up and down completely randomly.
Pair Corralation between GM and Yeong Guan
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.56 times more return on investment than Yeong Guan. However, GM is 1.56 times more volatile than Yeong Guan Energy. It trades about 0.09 of its potential returns per unit of risk. Yeong Guan Energy is currently generating about -0.15 per unit of risk. If you would invest 4,676 in General Motors on September 15, 2024 and sell it today you would earn a total of 577.00 from holding General Motors or generate 12.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
General Motors vs. Yeong Guan Energy
Performance |
Timeline |
General Motors |
Yeong Guan Energy |
GM and Yeong Guan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Yeong Guan
The main advantage of trading using opposite GM and Yeong Guan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Yeong Guan 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 Yeong Guan will offset losses from the drop in Yeong Guan's long position.The idea behind General Motors and Yeong Guan Energy 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.Yeong Guan vs. TECO Electric Machinery | Yeong Guan vs. Swancor Holding Co | Yeong Guan vs. Airtac International Group | Yeong Guan vs. Grape King Bio |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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