Correlation Between GM and S A P
Can any of the company-specific risk be diversified away by investing in both GM and S A P 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 S A P into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and SAP SE, you can compare the effects of market volatilities on GM and S A P 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 S A P. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and S A P.
Diversification Opportunities for GM and S A P
Excellent diversification
The 3 months correlation between GM and SAP is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and SAP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SAP SE 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 S A P. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SAP SE has no effect on the direction of GM i.e., GM and S A P go up and down completely randomly.
Pair Corralation between GM and S A P
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the S A P. In addition to that, GM is 1.58 times more volatile than SAP SE. It trades about -0.03 of its total potential returns per unit of risk. SAP SE is currently generating about 0.05 per unit of volatility. If you would invest 23,950 in SAP SE on December 27, 2024 and sell it today you would earn a total of 1,060 from holding SAP SE or generate 4.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 96.77% |
Values | Daily Returns |
General Motors vs. SAP SE
Performance |
Timeline |
General Motors |
SAP SE |
GM and S A P Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and S A P
The main advantage of trading using opposite GM and S A P positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, S A P 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 S A P will offset losses from the drop in S A P's long position.The idea behind General Motors and SAP SE 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.S A P vs. MOLSON RS BEVERAGE | S A P vs. United Airlines Holdings | S A P vs. Monster Beverage Corp | S A P vs. SOUTHWEST AIRLINES |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Other Complementary Tools
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets |