T Probability of Target Price Finishing Over 39.5915

T -- USA Stock  

USD 32.00  0.31  0.98%

T probability of target price tool provides mechanism to make assumptions about upside and downside potential of T performance during a given time horizon utilizing its historical volatility. Please specify T time horizon, a valid symbol (red box) and a target price (blue box) you would like T odds to be computed. Also please take a look at T Backtesting, T Valuation, T Correlation, T Hype Analysis, T Volatility, T History as well as T Performance.
 Time Horizon     30 Days    Login   to change
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T Target Price Odds to finish over 39.5915

Current PriceHorizonTarget PriceOdds to move over $ 39.59  or more in 30 days
 32.00 30 days 39.59  NEAR 1%
Based on normal probability distribution, the odds of T to move over $ 39.59  or more in 30 days from now is near 1% (This T probability density function shows the probability of T Stock to fall within a particular range of prices over 30 days) . Probability of T price to stay between its current price of $ 32.00  and $ 39.59  at the end of the 30-day period is about 82.72%.
Taking into account the 30 trading days horizon, T has beta of 0.0 . This entails unless we do not have required data, the returns on DOW and T are completely uncorrelated. Additionally TIt does not look like T alpha can have any bearing on the equity current valuation.
 T Price Density 
 
      
Current Price   Target Price   
α
Alpha over DOW
=0.00
β
Beta against DOW=0.00
σ
Overall volatility
=0.76
Ir
Information ratio =0.04

T Alerts

T Alerts and Suggestions
T generates negative expected return over the last 30 days
T has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its interest payments
About 57.0% of the company shares are owned by institutional investors
Latest headline from MacroaxisInsider: Payment of 1726 shares by John Stankey of T subject to Rule 16b-3

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Also please take a look at T Backtesting, T Valuation, T Correlation, T Hype Analysis, T Volatility, T History as well as T Performance. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.