Correlation Between GM and Fa529 Hg
Can any of the company-specific risk be diversified away by investing in both GM and Fa529 Hg 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 Fa529 Hg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Fa529 Hg In, you can compare the effects of market volatilities on GM and Fa529 Hg 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 Fa529 Hg. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Fa529 Hg.
Diversification Opportunities for GM and Fa529 Hg
Very weak diversification
The 3 months correlation between GM and Fa529 is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Fa529 Hg In in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fa529 Hg In 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 Fa529 Hg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fa529 Hg In has no effect on the direction of GM i.e., GM and Fa529 Hg go up and down completely randomly.
Pair Corralation between GM and Fa529 Hg
Allowing for the 90-day total investment horizon General Motors is expected to generate 16.11 times more return on investment than Fa529 Hg. However, GM is 16.11 times more volatile than Fa529 Hg In. It trades about 0.06 of its potential returns per unit of risk. Fa529 Hg In is currently generating about 0.03 per unit of risk. If you would invest 4,793 in General Motors on September 23, 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 | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Fa529 Hg In
Performance |
Timeline |
General Motors |
Fa529 Hg In |
GM and Fa529 Hg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Fa529 Hg
The main advantage of trading using opposite GM and Fa529 Hg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Fa529 Hg 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 Fa529 Hg will offset losses from the drop in Fa529 Hg's long position.The idea behind General Motors and Fa529 Hg In 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.Fa529 Hg vs. Doubleline Yield Opportunities | Fa529 Hg vs. Pace High Yield | Fa529 Hg vs. Alliancebernstein National Municipal | Fa529 Hg vs. Versatile Bond Portfolio |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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