KPIT Technologies (India) Probability of Target Price Finishing Over Current Price

KPIT -- India Stock  

INR 207.40  0.15  0.07%

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

Current PriceHorizonTarget PriceOdds to move above current price in 30 days
 207.40 30 days 207.40  ABOUT 83.81%
Based on normal probability distribution, the odds of KPIT Technologies to move above current price in 30 days from now is about 83.81% (This KPIT Technologies Limited probability density function shows the probability of KPIT Technologies Stock to fall within a particular range of prices over 30 days) .
Assuming 30 trading days horizon, KPIT Technologies Limited has beta of -0.0952 indicating as returns on benchmark increase, returns on holding KPIT Technologies are expected to decrease at a much smaller rate. During bear market, however, KPIT Technologies Limited is likely to outperform the market. Additionally KPIT Technologies Limited has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW.
 KPIT Technologies Price Density 
Alpha over DOW
Beta against DOW=0.1
Overall volatility
Information ratio =0.10

KPIT Technologies Alerts

KPIT Technologies Alerts and Suggestions

KPIT Technologies is not yet fully synchronised with the market data

Price Density Drivers

KPIT Technologies Health Indicators

Trailing Annual Dividend Rate2.40
Float Shares97.46M
Average Daily Volume Last 10 Day72.6k
Average Daily Volume In Three Month107.01k
Trailing Annual Dividend Yield1.15%
Please see also Stocks Correlation. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.