SAP SE Correlations
| SAPGF Stock | USD 246.97 6.94 2.89% |
The current 90-days correlation between SAP SE and Samsung Electronics Co is 0.23 (i.e., Modest diversification). The correlation of SAP SE is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
SAP SE Correlation With Market
Weak diversification
The correlation between SAP SE and DJI is 0.32 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding SAP SE and DJI in the same portfolio, assuming nothing else is changed.
SAP |
The ability to find closely correlated positions to SAP SE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SAP SE when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back SAP SE - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling SAP SE to buy it.
Moving together with SAP Pink Sheet
| 1.0 | SAP | SAP SE ADR | PairCorr |
| 0.73 | UBER | Uber Technologies | PairCorr |
| 0.83 | NOW | ServiceNow | PairCorr |
| 0.7 | CDNS | Cadence Design Systems | PairCorr |
| 0.61 | PG | Procter Gamble | PairCorr |
| 0.85 | HPQ | HP Inc | PairCorr |
| 0.91 | HD | Home Depot | PairCorr |
| 0.84 | MSFT | Microsoft | PairCorr |
Moving against SAP Pink Sheet
| 0.86 | PPERY | Bank Mandiri Persero | PairCorr |
| 0.73 | ATI | Allegheny Technologies | PairCorr |
| 0.69 | SHG | Shinhan Financial | PairCorr |
| 0.68 | KB | KB Financial Group | PairCorr |
| 0.58 | ASXSF | Elysee Development Corp | PairCorr |
| 0.55 | PTBRY | Bank Negara Indonesia | PairCorr |
| 0.48 | WF | Woori Financial Group | PairCorr |
| 0.36 | PBCRY | Bank Central Asia | PairCorr |
| 0.83 | DD | Dupont De Nemours | PairCorr |
| 0.78 | MRK | Merck Company Aggressive Push | PairCorr |
| 0.72 | XOM | Exxon Mobil Corp | PairCorr |
| 0.7 | WSFS | WSFS Financial | PairCorr |
| 0.69 | F | Ford Motor Aggressive Push | PairCorr |
| 0.6 | BAC | Bank of America Earnings Call This Week | PairCorr |
| 0.6 | PFE | Pfizer Inc | PairCorr |
| 0.57 | AXP | American Express | PairCorr |
| 0.5 | AA | Alcoa Corp | PairCorr |
| 0.47 | ACN | Accenture plc | PairCorr |
| 0.45 | VZ | Verizon Communications | PairCorr |
| 0.43 | WMT | Walmart Common Stock | PairCorr |
| 0.41 | MCD | McDonalds | PairCorr |
Related Correlations Analysis
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between SAP Pink Sheet performing well and SAP SE Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze SAP SE's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| SSNLF | 1.81 | 0.86 | 0.00 | 1.44 | 0.00 | 0.00 | 0.64 | |||
| ASMLF | 1.92 | 0.26 | 0.12 | 0.25 | 2.15 | 3.84 | 11.95 | |||
| OBIIF | 0.25 | (0.16) | 0.00 | (0.25) | 0.00 | 0.00 | 8.44 | |||
| DASTY | 1.21 | (0.27) | 0.00 | (0.48) | 0.00 | 2.13 | 15.25 | |||
| DASTF | 1.77 | (0.22) | 0.00 | (0.32) | 0.00 | 3.31 | 14.98 | |||
| SGPYY | 1.04 | (0.05) | 0.00 | (0.07) | 0.00 | 1.93 | 5.49 | |||
| SGGEF | 1.08 | (0.08) | 0.00 | (0.12) | 0.00 | 4.77 | 14.48 | |||
| OCLCF | 0.28 | (0.16) | 0.00 | (1.83) | 0.00 | 0.00 | 6.72 | |||
| AILQF | 0.80 | 0.18 | 0.00 | 6.65 | 0.00 | 0.00 | 30.95 | |||
| QTGPF | 1.17 | (0.44) | 0.00 | 0.49 | 0.00 | 0.00 | 17.56 |
Be your own money manager
Our tools can tell you how much better you can do entering a position in SAP SE without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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SAP SE Corporate Management
| Sabine Bendiek | Labor Officer | Profile | |
| Juergen Mller | CTO Board | Profile | |
| Scott Russell | Head Board | Profile | |
| Julia White | Chief Board | Profile |