Lsv Managed Volatility Fund Statistic Functions Beta

LSVMX Fund  USD 11.04  0.10  0.90%   
Lsv Managed statistic functions tool provides the execution environment for running the Beta function and other technical functions against Lsv Managed. Lsv Managed 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 Beta function function is designed to identify and follow existing trends. Lsv Managed 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.

The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Lsv Managed Volatility correlated with the market. If Beta is less than 0 Lsv Managed generally moves in the opposite direction as compared to the market. If Lsv Managed Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Lsv Managed Volatility is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Lsv Managed is generally in the same direction as the market. If Beta > 1 Lsv Managed moves generally in the same direction as, but more than the movement of the benchmark.

Lsv Managed Technical Analysis Modules

Most technical analysis of Lsv Managed 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 Lsv from various momentum indicators to cycle indicators. When you analyze Lsv 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 Lsv Managed 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 Lsv Managed Volatility. We use our internally-developed statistical techniques to arrive at the intrinsic value of Lsv Managed Volatility based on widely used predictive technical indicators. In general, we focus on analyzing Lsv Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Lsv Managed'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 Lsv Managed's intrinsic value. In addition to deriving basic predictive indicators for Lsv Managed, we also check how macroeconomic factors affect Lsv Managed price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
10.3911.0411.69
Details
Intrinsic
Valuation
LowRealHigh
10.1110.7611.41
Details
Naive
Forecast
LowNextHigh
10.3811.0311.68
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.6510.8911.13
Details

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Other Information on Investing in Lsv Mutual Fund

Lsv Managed financial ratios help investors to determine whether Lsv Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Lsv with respect to the benefits of owning Lsv Managed security.
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