CPSE ETF (India) Probability of Target Price Finishing Over Current Price

    CPSEETF -- India Stock  

    INR 24.97  0.33  1.30%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     24.97 30 days 24.97  ABOUT 71.08%
    Based on normal probability distribution, the odds of CPSE ETF to move above current price in 30 days from now is about 71.08% (This CPSE ETF probability density function shows the probability of CPSE ETF Stock to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, CPSE ETF has beta of 0.2799 . This suggests as returns on market go up, CPSE ETF average returns are expected to increase less than the benchmark. However during bear market, the loss on holding CPSE ETF will be expected to be much smaller as well. Additionally CPSE ETF has an alpha of 0.0752 implying that it can potentially generate 0.0752% excess return over DOW after adjusting for the inherited market risk (beta).
     CPSE ETF Price Density 
    Alpha over DOW
    Beta against DOW=0.28
    Overall volatility
    Information ratio =0.06

    CPSE ETF Alerts

    CPSE ETF Alerts and Suggestions

    CPSE ETF is not yet fully synchronised with the market data
    Latest headline from www.financialexpress.com: Disinvestment department to frame guidelines for sale of enemy shares

    Price Density Drivers

    CPSE ETF Health Indicators

    Average Daily Volume Last 10 Day14.08k
    Average Daily Volume In Three Month84.85k
    Check also Trending Equities. Please also try Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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