Correlation Between GM and CHINA OIL
Can any of the company-specific risk be diversified away by investing in both GM and CHINA OIL 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 CHINA OIL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and CHINA OIL AND, you can compare the effects of market volatilities on GM and CHINA OIL 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 CHINA OIL. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and CHINA OIL.
Diversification Opportunities for GM and CHINA OIL
Poor diversification
The 3 months correlation between GM and CHINA is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and CHINA OIL AND in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA OIL AND 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 CHINA OIL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA OIL AND has no effect on the direction of GM i.e., GM and CHINA OIL go up and down completely randomly.
Pair Corralation between GM and CHINA OIL
Allowing for the 90-day total investment horizon General Motors is expected to generate 4.47 times more return on investment than CHINA OIL. However, GM is 4.47 times more volatile than CHINA OIL AND. It trades about 0.1 of its potential returns per unit of risk. CHINA OIL AND is currently generating about 0.12 per unit of risk. If you would invest 4,829 in General Motors on September 3, 2024 and sell it today you would earn a total of 730.00 from holding General Motors or generate 15.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
General Motors vs. CHINA OIL AND
Performance |
Timeline |
General Motors |
CHINA OIL AND |
GM and CHINA OIL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and CHINA OIL
The main advantage of trading using opposite GM and CHINA OIL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, CHINA OIL 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 CHINA OIL will offset losses from the drop in CHINA OIL's long position.The idea behind General Motors and CHINA OIL AND 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.CHINA OIL vs. INSURANCE AUST GRP | CHINA OIL vs. SCANSOURCE | CHINA OIL vs. Japan Post Insurance | CHINA OIL vs. QBE Insurance Group |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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