Correlation Between GM and WPP -
Can any of the company-specific risk be diversified away by investing in both GM and WPP - 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 WPP - into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and WPP Dusseldorf, you can compare the effects of market volatilities on GM and WPP - 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 WPP -. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and WPP -.
Diversification Opportunities for GM and WPP -
Weak diversification
The 3 months correlation between GM and WPP is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and WPP Dusseldorf in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WPP Dusseldorf 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 WPP -. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WPP Dusseldorf has no effect on the direction of GM i.e., GM and WPP - go up and down completely randomly.
Pair Corralation between GM and WPP -
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.61 times more return on investment than WPP -. However, GM is 1.61 times more volatile than WPP Dusseldorf. It trades about 0.09 of its potential returns per unit of risk. WPP Dusseldorf is currently generating about 0.1 per unit of risk. If you would invest 4,591 in General Motors on October 8, 2024 and sell it today you would earn a total of 586.00 from holding General Motors or generate 12.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 96.77% |
Values | Daily Returns |
General Motors vs. WPP Dusseldorf
Performance |
Timeline |
General Motors |
WPP Dusseldorf |
GM and WPP - Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and WPP -
The main advantage of trading using opposite GM and WPP - positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, WPP - 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 WPP - will offset losses from the drop in WPP -'s long position.The idea behind General Motors and WPP Dusseldorf 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.WPP - vs. LIFENET INSURANCE CO | WPP - vs. UNITED RENTALS | WPP - vs. Vienna Insurance Group | WPP - vs. Insurance Australia Group |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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