Correlation Between GM and ProShares Short
Can any of the company-specific risk be diversified away by investing in both GM and ProShares Short 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 ProShares Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and ProShares Short MSCI, you can compare the effects of market volatilities on GM and ProShares Short 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 ProShares Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and ProShares Short.
Diversification Opportunities for GM and ProShares Short
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and ProShares is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and ProShares Short MSCI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Short MSCI 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 ProShares Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Short MSCI has no effect on the direction of GM i.e., GM and ProShares Short go up and down completely randomly.
Pair Corralation between GM and ProShares Short
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.45 times more return on investment than ProShares Short. However, GM is 2.45 times more volatile than ProShares Short MSCI. It trades about 0.03 of its potential returns per unit of risk. ProShares Short MSCI is currently generating about -0.02 per unit of risk. If you would invest 3,712 in General Motors on November 28, 2024 and sell it today you would earn a total of 959.00 from holding General Motors or generate 25.84% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 99.8% |
| Values | Daily Returns |
General Motors vs. ProShares Short MSCI
Performance |
| Timeline |
| General Motors |
| ProShares Short MSCI |
GM and ProShares Short Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and ProShares Short
The main advantage of trading using opposite GM and ProShares Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, ProShares Short 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 ProShares Short will offset losses from the drop in ProShares Short's long position.The idea behind General Motors and ProShares Short MSCI 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.| ProShares Short vs. ProShares Short MSCI | ProShares Short vs. ProShares UltraShort MSCI | ProShares Short vs. ProShares UltraShort MSCI | ProShares Short vs. ProShares Short MidCap400 |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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