Correlation Between S A P and SAP SE
Can any of the company-specific risk be diversified away by investing in both S A P and SAP SE 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 S A P and SAP SE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SAP SE and SAP SE, you can compare the effects of market volatilities on S A P and SAP SE 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 S A P with a short position of SAP SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of S A P and SAP SE.
Diversification Opportunities for S A P and SAP SE
Almost no diversification
The 3 months correlation between SAP and SAP is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding SAP SE and SAP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SAP SE and S A P 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 SAP SE are associated (or correlated) with SAP SE. 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 S A P i.e., S A P and SAP SE go up and down completely randomly.
Pair Corralation between S A P and SAP SE
Assuming the 90 days horizon S A P is expected to generate 1.04 times less return on investment than SAP SE. But when comparing it to its historical volatility, SAP SE is 1.24 times less risky than SAP SE. It trades about 0.18 of its potential returns per unit of risk. SAP SE is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 21,812 in SAP SE on April 21, 2025 and sell it today you would earn a total of 4,388 from holding SAP SE or generate 20.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SAP SE vs. SAP SE
Performance |
Timeline |
SAP SE |
SAP SE |
S A P and SAP SE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with S A P and SAP SE
The main advantage of trading using opposite S A P and SAP SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if S A P position performs unexpectedly, SAP SE 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 SAP SE will offset losses from the drop in SAP SE's long position.S A P vs. PARKEN Sport Entertainment | S A P vs. BC IRON | S A P vs. Live Nation Entertainment | S A P vs. MAANSHAN IRON H |
SAP SE vs. Lery Seafood Group | SAP SE vs. Cal Maine Foods | SAP SE vs. GWILLI FOOD | SAP SE vs. S E BANKEN A |
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
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Stocks Directory Find actively traded stocks across global markets | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Fundamental Analysis View fundamental data based on most recent published financial statements |