LIGAND PHARM Probability of Target Price Finishing Over Current Price

    LGNZZ -- USA Stock  

    USD 0.08  0.00  0.00%

    LIGAND PHARM probability of target price tool provides mechanism to make assumptions about upside and downside potential of LIGAND PHARM INC performance during a given time horizon utilizing its historical volatility. Please specify LIGAND PHARM time horizon, a valid symbol (red box) and a target price (blue box) you would like LIGAND PHARM odds to be computed. Please see also Stocks Correlation.
    Horizon     30 Days    Login   to change
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    LIGAND PHARM Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     0.08 30 days 0.08  ABOUT 19.04%
    Based on normal probability distribution, the odds of LIGAND PHARM to move above current price in 30 days from now is about 19.04% (This LIGAND PHARM INC probability density function shows the probability of LIGAND PHARM Stock to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, the stock has beta coefficient of 1.81 indicating as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are expected to be negative, LIGAND PHARM will likely underperform. Moreover LIGAND PHARM INC has an alpha of 1.8944 implying that it can potentially generate 1.8944% excess return over DOW after adjusting for the inherited market risk (beta).
     LIGAND PHARM Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =1.89
    β
    Beta against DOW=1.81
    σ
    Overall volatility
    =0.021009
    Ir
    Information ratio =0.16

    LIGAND PHARM Alerts

    LIGAND PHARM Alerts and Suggestions

    LIGAND PHARM INC appears to be very risky and stock price may revert if volatility continues
    LIGAND PHARM INC has some characteristics of a very speculative penny stock
    Please see also Stocks Correlation. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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