Correlation Between GM and SPDR Dow
Can any of the company-specific risk be diversified away by investing in both GM and SPDR Dow 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 Dow 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 Dow Jones, you can compare the effects of market volatilities on GM and SPDR Dow 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 Dow. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and SPDR Dow.
Diversification Opportunities for GM and SPDR Dow
Good diversification
The 3 months correlation between GM and SPDR is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and SPDR Dow Jones in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Dow Jones 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 Dow. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Dow Jones has no effect on the direction of GM i.e., GM and SPDR Dow go up and down completely randomly.
Pair Corralation between GM and SPDR Dow
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.02 times more return on investment than SPDR Dow. However, GM is 2.02 times more volatile than SPDR Dow Jones. It trades about 0.32 of its potential returns per unit of risk. SPDR Dow Jones is currently generating about 0.09 per unit of risk. If you would invest 5,273 in General Motors on August 28, 2024 and sell it today you would earn a total of 747.00 from holding General Motors or generate 14.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. SPDR Dow Jones
Performance |
| Timeline |
| General Motors |
| SPDR Dow Jones |
GM and SPDR Dow Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and SPDR Dow
The main advantage of trading using opposite GM and SPDR Dow positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, SPDR Dow 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 Dow will offset losses from the drop in SPDR Dow's long position.The idea behind General Motors and SPDR Dow Jones 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 Dow vs. iShares Cohen Steers | SPDR Dow vs. iShares Real Estate | SPDR Dow vs. SPDR Dow Jones | SPDR Dow vs. iShares Utilities ETF |
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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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