Correlation Between GM and SPDR SSGA
Can any of the company-specific risk be diversified away by investing in both GM and SPDR SSGA 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 SPDR SSGA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and SPDR SSGA Gender, you can compare the effects of market volatilities on GM and SPDR SSGA 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 SPDR SSGA. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and SPDR SSGA.
Diversification Opportunities for GM and SPDR SSGA
Very good diversification
The 3 months correlation between GM and SPDR is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and SPDR SSGA Gender in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SSGA Gender 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 SPDR SSGA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR SSGA Gender has no effect on the direction of GM i.e., GM and SPDR SSGA go up and down completely randomly.
Pair Corralation between GM and SPDR SSGA
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the SPDR SSGA. In addition to that, GM is 2.84 times more volatile than SPDR SSGA Gender. It trades about -0.02 of its total potential returns per unit of risk. SPDR SSGA Gender is currently generating about -0.02 per unit of volatility. If you would invest 11,805 in SPDR SSGA Gender on December 25, 2024 and sell it today you would lose (175.00) from holding SPDR SSGA Gender or give up 1.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. SPDR SSGA Gender
Performance |
Timeline |
General Motors |
SPDR SSGA Gender |
GM and SPDR SSGA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and SPDR SSGA
The main advantage of trading using opposite GM and SPDR SSGA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, SPDR SSGA 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 SPDR SSGA will offset losses from the drop in SPDR SSGA's long position.The idea behind General Motors and SPDR SSGA Gender 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.SPDR SSGA vs. iShares MSCI ACWI | SPDR SSGA vs. iShares MSCI USA | SPDR SSGA vs. SPDR SP 500 | SPDR SSGA vs. iShares MSCI KLD |
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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