Tata Equity (India) Probability of Target Price Finishing Over Current Price

F00000PDH3 -- India Fund  

INR 62.16  1.93  3.01%

Tata Equity probability of target price tool provides mechanism to make assumptions about upside and downside potential of Tata Equity PE Trigger A 5 percent Dir Div performance during a given time horizon utilizing its historical volatility. Please specify Tata Equity time horizon, a valid symbol (red box) and a target price (blue box) you would like Tata Equity odds to be computed. Additionally see Investing Opportunities.
Horizon     30 Days    Login   to change
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Tata Equity Target Price Odds to finish over

Current PriceHorizonTarget PriceOdds to move above current price in 30 days
 62.16 30 days 62.16  ABOUT 10.99%
Based on normal probability distribution, the odds of Tata Equity to move above current price in 30 days from now is about 10.99% (This Tata Equity PE Trigger A 5 percent Dir Div probability density function shows the probability of Tata Equity Fund to fall within a particular range of prices over 30 days) .
Assuming 30 trading days horizon, Tata Equity has beta of 0.4884 suggesting as returns on market go up, Tata Equity average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Tata Equity PE Trigger A 5 percent Dir Div will be expected to be much smaller as well. Additionally Tata Equity PE Trigger A 5 percent Dir Div has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
 Tata Equity Price Density 
 
      
Current Price   Target Price   
α
Alpha over DOW
=0.12
β
Beta against DOW=0.49
σ
Overall volatility
=30.47
Ir
Information ratio =0.18

Tata Equity Alerts

Tata Equity Alerts and Suggestions

Tata Equity PE generates negative expected return over the last 30 days
The fund retains 95.1% of its assets under management (AUM) in equities

Price Density Drivers

Tata Equity Health Indicators

Additionally see Investing Opportunities. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.
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