Correlation Between GM and GOME Retail
Can any of the company-specific risk be diversified away by investing in both GM and GOME Retail 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 GOME Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and GOME Retail Holdings, you can compare the effects of market volatilities on GM and GOME Retail 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 GOME Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and GOME Retail.
Diversification Opportunities for GM and GOME Retail
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and GOME is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and GOME Retail Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GOME Retail Holdings 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 GOME Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GOME Retail Holdings has no effect on the direction of GM i.e., GM and GOME Retail go up and down completely randomly.
Pair Corralation between GM and GOME Retail
Allowing for the 90-day total investment horizon GM is expected to generate 2.85 times less return on investment than GOME Retail. But when comparing it to its historical volatility, General Motors is 6.22 times less risky than GOME Retail. It trades about 0.05 of its potential returns per unit of risk. GOME Retail Holdings is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 1.00 in GOME Retail Holdings on September 23, 2024 and sell it today you would lose (0.90) from holding GOME Retail Holdings or give up 90.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.03% |
Values | Daily Returns |
General Motors vs. GOME Retail Holdings
Performance |
Timeline |
General Motors |
GOME Retail Holdings |
GM and GOME Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and GOME Retail
The main advantage of trading using opposite GM and GOME Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, GOME Retail 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 GOME Retail will offset losses from the drop in GOME Retail's long position.The idea behind General Motors and GOME Retail Holdings 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.GOME Retail vs. ACCSYS TECHPLC EO | GOME Retail vs. JAPAN TOBACCO UNSPADR12 | GOME Retail vs. MUTUIONLINE | GOME Retail vs. RCM TECHNOLOGIES |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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