Correlation Between GM and One Choice
Can any of the company-specific risk be diversified away by investing in both GM and One Choice 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 One Choice into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and One Choice 2050, you can compare the effects of market volatilities on GM and One Choice 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 One Choice. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and One Choice.
Diversification Opportunities for GM and One Choice
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between GM and One is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and One Choice 2050 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on One Choice 2050 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 One Choice. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of One Choice 2050 has no effect on the direction of GM i.e., GM and One Choice go up and down completely randomly.
Pair Corralation between GM and One Choice
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.31 times more return on investment than One Choice. However, GM is 2.31 times more volatile than One Choice 2050. It trades about 0.03 of its potential returns per unit of risk. One Choice 2050 is currently generating about -0.13 per unit of risk. If you would invest 5,261 in General Motors on September 26, 2024 and sell it today you would earn a total of 90.00 from holding General Motors or generate 1.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. One Choice 2050
Performance |
Timeline |
General Motors |
One Choice 2050 |
GM and One Choice Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and One Choice
The main advantage of trading using opposite GM and One Choice positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, One Choice 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 One Choice will offset losses from the drop in One Choice's long position.The idea behind General Motors and One Choice 2050 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.One Choice vs. Mid Cap Value | One Choice vs. Equity Growth Fund | One Choice vs. Income Growth Fund | One Choice vs. Diversified Bond Fund |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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