URBAN OUTFITTERS (Germany) Statistic Functions Pearson Correlation Coefficient

UOF Stock   44.80  0.20  0.44%   
URBAN OUTFITTERS statistic functions tool provides the execution environment for running the Pearson Correlation Coefficient function and other technical functions against URBAN OUTFITTERS. URBAN OUTFITTERS value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Pearson Correlation Coefficient function function is designed to identify and follow existing trends. URBAN OUTFITTERS statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Function
Time Period
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The output start index for this execution was nine with a total number of output elements of fifty-two. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of URBAN OUTFITTERS and its benchmark or peer.

URBAN OUTFITTERS Technical Analysis Modules

Most technical analysis of URBAN OUTFITTERS 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 URBAN from various momentum indicators to cycle indicators. When you analyze URBAN 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.

About URBAN OUTFITTERS 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 URBAN OUTFITTERS. We use our internally-developed statistical techniques to arrive at the intrinsic value of URBAN OUTFITTERS based on widely used predictive technical indicators. In general, we focus on analyzing URBAN Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build URBAN OUTFITTERS'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 URBAN OUTFITTERS's intrinsic value. In addition to deriving basic predictive indicators for URBAN OUTFITTERS, we also check how macroeconomic factors affect URBAN OUTFITTERS 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 URBAN OUTFITTERS'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.
Hype
Prediction
LowEstimatedHigh
41.5844.8048.02
Details
Intrinsic
Valuation
LowRealHigh
40.3252.8656.08
Details
Naive
Forecast
LowNextHigh
44.3747.5850.80
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
30.9238.9046.88
Details

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Additional Tools for URBAN Stock Analysis

When running URBAN OUTFITTERS's price analysis, check to measure URBAN OUTFITTERS'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 URBAN OUTFITTERS is operating at the current time. Most of URBAN OUTFITTERS's value examination focuses on studying past and present price action to predict the probability of URBAN OUTFITTERS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move URBAN OUTFITTERS's price. Additionally, you may evaluate how the addition of URBAN OUTFITTERS to your portfolios can decrease your overall portfolio volatility.