Correlation Between GM and Simt High
Can any of the company-specific risk be diversified away by investing in both GM and Simt High 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 Simt High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Simt High Yield, you can compare the effects of market volatilities on GM and Simt High 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 Simt High. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Simt High.
Diversification Opportunities for GM and Simt High
Very weak diversification
The 3 months correlation between GM and Simt is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Simt High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt High Yield 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 Simt High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt High Yield has no effect on the direction of GM i.e., GM and Simt High go up and down completely randomly.
Pair Corralation between GM and Simt High
Allowing for the 90-day total investment horizon General Motors is expected to generate 10.69 times more return on investment than Simt High. However, GM is 10.69 times more volatile than Simt High Yield. It trades about 0.06 of its potential returns per unit of risk. Simt High Yield is currently generating about 0.16 per unit of risk. If you would invest 4,624 in General Motors on September 26, 2024 and sell it today you would earn a total of 727.00 from holding General Motors or generate 15.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Simt High Yield
Performance |
Timeline |
General Motors |
Simt High Yield |
GM and Simt High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Simt High
The main advantage of trading using opposite GM and Simt High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Simt High 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 Simt High will offset losses from the drop in Simt High's long position.The idea behind General Motors and Simt High Yield 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.Simt High vs. Artisan High Income | Simt High vs. Sit Emerging Markets | Simt High vs. Sit International Equity | Simt High vs. Stet Intermediate Term |
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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