Correlation Between GM and New York
Can any of the company-specific risk be diversified away by investing in both GM and New York 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 New York into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and New York City, you can compare the effects of market volatilities on GM and New York 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 New York. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and New York.
Diversification Opportunities for GM and New York
Very good diversification
The 3 months correlation between GM and New is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and New York City in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New York City 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 New York. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New York City has no effect on the direction of GM i.e., GM and New York go up and down completely randomly.
Pair Corralation between GM and New York
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.47 times more return on investment than New York. However, GM is 1.47 times more volatile than New York City. It trades about 0.32 of its potential returns per unit of risk. New York City is currently generating about -0.15 per unit of risk. If you would invest 5,273 in General Motors on August 27, 2024 and sell it today you would earn a total of 747.00 from holding General Motors or generate 14.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. New York City
Performance |
| Timeline |
| General Motors |
| New York City |
GM and New York Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and New York
The main advantage of trading using opposite GM and New York positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, New York 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 New York will offset losses from the drop in New York's long position.The idea behind General Motors and New York City 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.| New York vs. MDJM | New York vs. New Concept Energy | New York vs. Fangdd Network Group | New York vs. Avalon GloboCare Corp |
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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
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