Correlation Between GM and Pacer Benchmark
Can any of the company-specific risk be diversified away by investing in both GM and Pacer Benchmark 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 Pacer Benchmark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Pacer Benchmark Data, you can compare the effects of market volatilities on GM and Pacer Benchmark 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 Pacer Benchmark. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Pacer Benchmark.
Diversification Opportunities for GM and Pacer Benchmark
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Pacer is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Pacer Benchmark Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pacer Benchmark Data 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 Pacer Benchmark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pacer Benchmark Data has no effect on the direction of GM i.e., GM and Pacer Benchmark go up and down completely randomly.
Pair Corralation between GM and Pacer Benchmark
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.49 times more return on investment than Pacer Benchmark. However, GM is 2.49 times more volatile than Pacer Benchmark Data. It trades about 0.08 of its potential returns per unit of risk. Pacer Benchmark Data is currently generating about 0.14 per unit of risk. If you would invest 4,551 in General Motors on September 1, 2024 and sell it today you would earn a total of 1,008 from holding General Motors or generate 22.15% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. Pacer Benchmark Data
Performance |
| Timeline |
| General Motors |
| Pacer Benchmark Data |
GM and Pacer Benchmark Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Pacer Benchmark
The main advantage of trading using opposite GM and Pacer Benchmark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Pacer Benchmark 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 Pacer Benchmark will offset losses from the drop in Pacer Benchmark's long position.The idea behind General Motors and Pacer Benchmark Data 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.| Pacer Benchmark vs. Aquagold International | Pacer Benchmark vs. Thrivent High Yield | Pacer Benchmark vs. Morningstar Unconstrained Allocation | Pacer Benchmark vs. High Yield Municipal 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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