Correlation Between GM and SSgA SPDR
Can any of the company-specific risk be diversified away by investing in both GM and SSgA SPDR 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 SSgA SPDR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and SSgA SPDR ETFs, you can compare the effects of market volatilities on GM and SSgA SPDR 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 SSgA SPDR. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and SSgA SPDR.
Diversification Opportunities for GM and SSgA SPDR
Very poor diversification
The 3 months correlation between GM and SSgA is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and SSgA SPDR ETFs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSgA SPDR ETFs 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 SSgA SPDR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSgA SPDR ETFs has no effect on the direction of GM i.e., GM and SSgA SPDR go up and down completely randomly.
Pair Corralation between GM and SSgA SPDR
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the SSgA SPDR. In addition to that, GM is 3.51 times more volatile than SSgA SPDR ETFs. It trades about -0.14 of its total potential returns per unit of risk. SSgA SPDR ETFs is currently generating about -0.07 per unit of volatility. If you would invest 5,460 in SSgA SPDR ETFs on September 21, 2024 and sell it today you would lose (68.00) from holding SSgA SPDR ETFs or give up 1.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 91.3% |
Values | Daily Returns |
General Motors vs. SSgA SPDR ETFs
Performance |
Timeline |
General Motors |
SSgA SPDR ETFs |
GM and SSgA SPDR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and SSgA SPDR
The main advantage of trading using opposite GM and SSgA SPDR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, SSgA SPDR 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 SSgA SPDR will offset losses from the drop in SSgA SPDR's long position.The idea behind General Motors and SSgA SPDR ETFs 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.SSgA SPDR vs. iShares Core MSCI | SSgA SPDR vs. iShares Core MSCI | SSgA SPDR vs. iShares MSCI World | SSgA SPDR vs. iShares MSCI EM |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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