Correlation Between GM and Wp Large
Can any of the company-specific risk be diversified away by investing in both GM and Wp Large 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 Wp Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Wp Large Cap, you can compare the effects of market volatilities on GM and Wp Large 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 Wp Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Wp Large.
Diversification Opportunities for GM and Wp Large
Very poor diversification
The 3 months correlation between GM and WPLCX is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Wp Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wp Large Cap 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 Wp Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wp Large Cap has no effect on the direction of GM i.e., GM and Wp Large go up and down completely randomly.
Pair Corralation between GM and Wp Large
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.24 times more return on investment than Wp Large. However, GM is 2.24 times more volatile than Wp Large Cap. It trades about 0.06 of its potential returns per unit of risk. Wp Large Cap is currently generating about 0.1 per unit of risk. If you would invest 4,793 in General Motors on September 22, 2024 and sell it today you would earn a total of 388.00 from holding General Motors or generate 8.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Wp Large Cap
Performance |
Timeline |
General Motors |
Wp Large Cap |
GM and Wp Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Wp Large
The main advantage of trading using opposite GM and Wp Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Wp Large 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 Wp Large will offset losses from the drop in Wp Large's long position.The idea behind General Motors and Wp Large Cap 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.Wp Large vs. Leland Thomson Reuters | Wp Large vs. Nasdaq 100 2x Strategy | Wp Large vs. Emerald Banking And | Wp Large vs. Nasdaq 100 2x Strategy |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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