Per Aarsleff (Denmark) Statistic Functions Beta
| PAAL-B Stock | DKK 329.50 0.50 0.15% |
| Symbol |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Per Aarsleff Holding correlated with the market. If Beta is less than 0 Per Aarsleff generally moves in the opposite direction as compared to the market. If Per Aarsleff Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Per Aarsleff Holding is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Per Aarsleff is generally in the same direction as the market. If Beta > 1 Per Aarsleff moves generally in the same direction as, but more than the movement of the benchmark.
Per Aarsleff Technical Analysis Modules
Most technical analysis of Per Aarsleff 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 Per from various momentum indicators to cycle indicators. When you analyze Per 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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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
About Per Aarsleff 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 Per Aarsleff Holding. We use our internally-developed statistical techniques to arrive at the intrinsic value of Per Aarsleff Holding based on widely used predictive technical indicators. In general, we focus on analyzing Per Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Per Aarsleff'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 Per Aarsleff's intrinsic value. In addition to deriving basic predictive indicators for Per Aarsleff, we also check how macroeconomic factors affect Per Aarsleff price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Per Aarsleff's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Per Aarsleff Holding. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for Per Stock analysis
When running Per Aarsleff's price analysis, check to measure Per Aarsleff'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 Per Aarsleff is operating at the current time. Most of Per Aarsleff's value examination focuses on studying past and present price action to predict the probability of Per Aarsleff's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Per Aarsleff's price. Additionally, you may evaluate how the addition of Per Aarsleff to your portfolios can decrease your overall portfolio volatility.
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