UTRON LTD (Israel) Risk Analysis And Volatility

UTR
Our philosophy towards measuring volatility of a stock is to use all available market data together with stock specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for UTRON LTD which you can use to evaluate future volatility of the company. Please validate UTRON LTD to confirm if risk estimate we provide are consistent with the epected return of 0.0%.
Horizon     30 Days    Login   to change

UTRON LTD Technical Analysis

Transformation
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UTRON LTD Projected Return Density Against Market

Assuming 30 trading days horizon, UTRON LTD has beta of 0.0 . This entails the returns on DOW and UTRON LTD do not appear to be sensitive. Furthermore, It does not look like the company alpha can have any bearing on the equity current valuation.
Assuming 30 trading days horizon, the coefficient of variation of UTRON LTD is 0.0. The daily returns are destributed with a variance of 0.0 and standard deviation of 0.0. The mean deviation of UTRON LTD is currently at 0.0. For similar time horizon, the selected benchmark (DOW) has volatility of 0.62
α
Alpha over DOW
=0.00
β
Beta against DOW=0.00
σ
Overall volatility
=0.00
Ir
Information ratio =0.00

UTRON LTD Return Volatility

the company accepts 0.0% volatility on return distribution over the 30 days horizon. the entity inherits 0.5285% risk (volatility on return distribution) over the 30 days horizon.
 Performance (%) 
    
  Timeline 

UTRON LTD Investment Opportunity

DOW has a standard deviation of returns of 0.53 and is 9.223372036854776E16 times more volatile than UTRON LTD. of all equities and portfolios are less risky than UTRON LTD. Compared to the overall equity markets, volatility of historical daily returns of UTRON LTD is lower than 0 () of all global equities and portfolios over the last 30 days.

UTRON LTD Current Risk Indicators

UTRON LTD Suggested Diversification Pairs

See also World Market Map. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.
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