SAP SE (Mexico) Statistic Functions Beta
| SAPN Stock | MXN 5,000 0.00 0.00% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on SAP SE correlated with the market. If Beta is less than 0 SAP SE generally moves in the opposite direction as compared to the market. If SAP SE Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one SAP SE is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of SAP SE is generally in the same direction as the market. If Beta > 1 SAP SE moves generally in the same direction as, but more than the movement of the benchmark.
SAP SE Technical Analysis Modules
Most technical analysis of SAP SE help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SAP from various momentum indicators to cycle indicators. When you analyze SAP charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About SAP SE Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SAP SE. We use our internally-developed statistical techniques to arrive at the intrinsic value of SAP SE based on widely used predictive technical indicators. In general, we focus on analyzing SAP Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build SAP SE's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of SAP SE's intrinsic value. In addition to deriving basic predictive indicators for SAP SE, we also check how macroeconomic factors affect SAP SE price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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SAP SE pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if SAP SE position performs unexpectedly, the other equity 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 appreciate offsetting losses from the drop in the long position's value.SAP SE Pair Trading
SAP SE Pair Trading Analysis
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.
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 perfect positive correlation (i.e., a correlation coefficient of +1) implies that as SAP SE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SAP SE moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for SAP SE can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for SAP Stock Analysis
When running SAP SE's price analysis, check to measure SAP SE's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SAP SE is operating at the current time. Most of SAP SE's value examination focuses on studying past and present price action to predict the probability of SAP SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SAP SE's price. Additionally, you may evaluate how the addition of SAP SE to your portfolios can decrease your overall portfolio volatility.