Correlation Between GM and Income Fund
Can any of the company-specific risk be diversified away by investing in both GM and Income Fund 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 Income Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Income Fund Of, you can compare the effects of market volatilities on GM and Income Fund 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 Income Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Income Fund.
Diversification Opportunities for GM and Income Fund
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between GM and Income is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Income Fund Of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Income Fund 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 Income Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Income Fund has no effect on the direction of GM i.e., GM and Income Fund go up and down completely randomly.
Pair Corralation between GM and Income Fund
Allowing for the 90-day total investment horizon General Motors is expected to generate 4.1 times more return on investment than Income Fund. However, GM is 4.1 times more volatile than Income Fund Of. It trades about 0.14 of its potential returns per unit of risk. Income Fund Of is currently generating about 0.15 per unit of risk. If you would invest 3,135 in General Motors on August 26, 2024 and sell it today you would earn a total of 2,718 from holding General Motors or generate 86.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Income Fund Of
Performance |
Timeline |
General Motors |
Income Fund |
GM and Income Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Income Fund
The main advantage of trading using opposite GM and Income Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Income Fund 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 Income Fund will offset losses from the drop in Income Fund's long position.The idea behind General Motors and Income Fund Of 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.Income Fund vs. Capital World Growth | Income Fund vs. New Perspective Fund | Income Fund vs. Growth Fund Of | Income Fund vs. Smallcap World Fund |
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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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