Correlation Between GM and Leland Thomson
Can any of the company-specific risk be diversified away by investing in both GM and Leland Thomson 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 Leland Thomson into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Leland Thomson Reuters, you can compare the effects of market volatilities on GM and Leland Thomson 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 Leland Thomson. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Leland Thomson.
Diversification Opportunities for GM and Leland Thomson
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Leland is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Leland Thomson Reuters in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Leland Thomson Reuters 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 Leland Thomson. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Leland Thomson Reuters has no effect on the direction of GM i.e., GM and Leland Thomson go up and down completely randomly.
Pair Corralation between GM and Leland Thomson
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.33 times more return on investment than Leland Thomson. However, GM is 1.33 times more volatile than Leland Thomson Reuters. It trades about 0.07 of its potential returns per unit of risk. Leland Thomson Reuters is currently generating about 0.06 per unit of risk. If you would invest 4,646 in General Motors on September 29, 2024 and sell it today you would earn a total of 782.00 from holding General Motors or generate 16.83% 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. Leland Thomson Reuters
Performance |
Timeline |
General Motors |
Leland Thomson Reuters |
GM and Leland Thomson Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Leland Thomson
The main advantage of trading using opposite GM and Leland Thomson positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Leland Thomson 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 Leland Thomson will offset losses from the drop in Leland Thomson's long position.The idea behind General Motors and Leland Thomson Reuters 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.Leland Thomson vs. Direxion Monthly Nasdaq 100 | Leland Thomson vs. Nasdaq 100 2x Strategy | Leland Thomson vs. Nasdaq 100 2x Strategy | Leland Thomson vs. Ultranasdaq 100 Profund Ultranasdaq 100 |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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