FC Real (Ireland) Probability of Target Price Finishing Over Current Price

    FC Real probability of target price tool provides mechanism to make assumptions about upside and downside potential of FC Real Estate Equity LS B EUR Acc performance during a given time horizon utilizing its historical volatility. Please specify FC Real time horizon, a valid symbol (red box) and a target price (blue box) you would like FC Real odds to be computed. Additionally see Investing Opportunities.
    Horizon     30 Days    Login   to change
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    FC Real Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     0.00 30 days 0.00  ABOUT 99.0%
    Based on normal probability distribution, the odds of FC Real to move above current price in 30 days from now is about 99.0% (This FC Real Estate Equity LS B EUR Acc probability density function shows the probability of FC Real Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, FC Real has beta of 0.0049 suggesting as returns on market go up, FC Real average returns are expected to increase less than the benchmark. However during bear market, the loss on holding FC Real Estate Equity LS B EUR Acc will be expected to be much smaller as well. Additionally FC Real Estate Equity LS B EUR Acc has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW.
     FC Real Price Density 
    Alpha over DOW
    Beta against DOW=0.0049
    Overall volatility
    Information ratio =0.24

    FC Real Alerts

    FC Real Alerts and Suggestions

    FC Real Estate is not yet fully synchronised with the market data
    FC Real Estate has some characteristics of a very speculative penny stock
    The fund retains about 78.55% of its assets under management (AUM) in cash

    Price Density Drivers

    FC Real Health Indicators

    Additionally see Investing Opportunities. Please also try Price Transformation module to use price transformation models to analyze depth of different equity instruments across global markets.
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