Correlation Between GM and Consumer Products
Can any of the company-specific risk be diversified away by investing in both GM and Consumer Products 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 Consumer Products into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Consumer Products Fund, you can compare the effects of market volatilities on GM and Consumer Products 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 Consumer Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Consumer Products.
Diversification Opportunities for GM and Consumer Products
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Consumer is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Consumer Products Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Consumer Products 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 Consumer Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Consumer Products has no effect on the direction of GM i.e., GM and Consumer Products go up and down completely randomly.
Pair Corralation between GM and Consumer Products
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.4 times more return on investment than Consumer Products. However, GM is 2.4 times more volatile than Consumer Products Fund. It trades about 0.03 of its potential returns per unit of risk. Consumer Products Fund is currently generating about -0.03 per unit of risk. If you would invest 4,155 in General Motors on November 5, 2024 and sell it today you would earn a total of 791.00 from holding General Motors or generate 19.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Consumer Products Fund
Performance |
Timeline |
General Motors |
Consumer Products |
GM and Consumer Products Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Consumer Products
The main advantage of trading using opposite GM and Consumer Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Consumer Products 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 Consumer Products will offset losses from the drop in Consumer Products' long position.The idea behind General Motors and Consumer Products Fund 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.Consumer Products vs. Basic Materials Fund | Consumer Products vs. Basic Materials Fund | Consumer Products vs. Banking Fund Class | Consumer Products vs. Basic Materials 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
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