Correlation Between GM and RTL GROUP
Can any of the company-specific risk be diversified away by investing in both GM and RTL GROUP 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 RTL GROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and RTL GROUP UNSPADR, you can compare the effects of market volatilities on GM and RTL GROUP 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 RTL GROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and RTL GROUP.
Diversification Opportunities for GM and RTL GROUP
Pay attention - limited upside
The 3 months correlation between GM and RTL is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and RTL GROUP UNSPADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RTL GROUP UNSPADR 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 RTL GROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RTL GROUP UNSPADR has no effect on the direction of GM i.e., GM and RTL GROUP go up and down completely randomly.
Pair Corralation between GM and RTL GROUP
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.66 times more return on investment than RTL GROUP. However, General Motors is 1.51 times less risky than RTL GROUP. It trades about 0.0 of its potential returns per unit of risk. RTL GROUP UNSPADR is currently generating about -0.08 per unit of risk. If you would invest 5,260 in General Motors on September 24, 2024 and sell it today you would lose (79.00) from holding General Motors or give up 1.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 97.67% |
Values | Daily Returns |
General Motors vs. RTL GROUP UNSPADR
Performance |
Timeline |
General Motors |
RTL GROUP UNSPADR |
GM and RTL GROUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and RTL GROUP
The main advantage of trading using opposite GM and RTL GROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, RTL GROUP 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 RTL GROUP will offset losses from the drop in RTL GROUP's long position.The idea behind General Motors and RTL GROUP UNSPADR 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.RTL GROUP vs. Compugroup Medical SE | RTL GROUP vs. Merit Medical Systems | RTL GROUP vs. MeVis Medical Solutions | RTL GROUP vs. Ribbon Communications |
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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