Correlation Between GM and SPDR SP
Can any of the company-specific risk be diversified away by investing in both GM and SPDR SP 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 SP 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 SP Emerging, you can compare the effects of market volatilities on GM and SPDR SP 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 SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and SPDR SP.
Diversification Opportunities for GM and SPDR SP
Very weak diversification
The 3 months correlation between GM and SPDR is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and SPDR SP Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SP Emerging 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 SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR SP Emerging has no effect on the direction of GM i.e., GM and SPDR SP go up and down completely randomly.
Pair Corralation between GM and SPDR SP
Allowing for the 90-day total investment horizon General Motors is expected to generate 5.45 times more return on investment than SPDR SP. However, GM is 5.45 times more volatile than SPDR SP Emerging. It trades about 0.17 of its potential returns per unit of risk. SPDR SP Emerging is currently generating about -0.06 per unit of risk. If you would invest 5,076 in General Motors on September 1, 2024 and sell it today you would earn a total of 483.00 from holding General Motors or generate 9.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 91.3% |
| Values | Daily Returns |
General Motors vs. SPDR SP Emerging
Performance |
| Timeline |
| General Motors |
| SPDR SP Emerging |
GM and SPDR SP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and SPDR SP
The main advantage of trading using opposite GM and SPDR SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, SPDR SP 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 SP will offset losses from the drop in SPDR SP's long position.The idea behind General Motors and SPDR SP Emerging 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 SP vs. BetaShares Global Banks | SPDR SP vs. Beta Shares SPASX | SPDR SP vs. SPDR SPASX 200 | SPDR SP vs. Vanguard Australian Property |
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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