Correlation Between GM and Fidelity Sai
Can any of the company-specific risk be diversified away by investing in both GM and Fidelity Sai 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 Fidelity Sai into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Fidelity Sai International, you can compare the effects of market volatilities on GM and Fidelity Sai 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 Fidelity Sai. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Fidelity Sai.
Diversification Opportunities for GM and Fidelity Sai
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Fidelity is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Fidelity Sai International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Sai Interna 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 Fidelity Sai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Sai Interna has no effect on the direction of GM i.e., GM and Fidelity Sai go up and down completely randomly.
Pair Corralation between GM and Fidelity Sai
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Fidelity Sai. In addition to that, GM is 2.6 times more volatile than Fidelity Sai International. It trades about -0.08 of its total potential returns per unit of risk. Fidelity Sai International is currently generating about -0.03 per unit of volatility. If you would invest 1,224 in Fidelity Sai International on December 3, 2024 and sell it today you would lose (21.00) from holding Fidelity Sai International or give up 1.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
General Motors vs. Fidelity Sai International
Performance |
Timeline |
General Motors |
Fidelity Sai Interna |
GM and Fidelity Sai Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Fidelity Sai
The main advantage of trading using opposite GM and Fidelity Sai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Fidelity Sai 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 Fidelity Sai will offset losses from the drop in Fidelity Sai's long position.The idea behind General Motors and Fidelity Sai International 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.Fidelity Sai vs. Dreyfusstandish Global Fixed | Fidelity Sai vs. Oklahoma College Savings | Fidelity Sai vs. Ab Bond Inflation | Fidelity Sai vs. Ultra Short Fixed Income |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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