LIC MF (India) Risk Analysis And Volatility Evaluation

LICNFR3D -- India Stock  

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Our approach to estimating volatility of a stock is to use all available market data together with stock specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for LIC MF which you can use to evaluate future volatility of the firm. Please verify LIC MF RGESS SR 3 RG PLN DVD P to check out if risk estimate we provide are consistent with the epected return of 0.0%.
Horizon     30 Days    Login   to change

LIC MF RGESS Technical Analysis

We are not able to run technical analysis function on this symbol. We either do not have that equity or its historical data is not available at this time. Please try again later.

LIC MF Projected Return Density Against Market

Assuming 30 trading days horizon, LIC MF has beta of 0.0 indicating unless we do not have required data, the returns on DOW and LIC MF are completely uncorrelated. Furthermore, LIC MF RGESS SR 3 RG PLN DVD PIt does not look like LIC MF alpha can have any bearing on the equity current valuation.
 Predicted Return Density 
Alpha over DOW
Beta against DOW=0.00
Overall volatility
Information ratio =0.00

LIC MF Return Volatility

LIC MF RGESS SR 3 RG PLN DVD P accepts 0.0% volatility on return distribution over the 30 days horizon. DOW inherits 1.1996% risk (volatility on return distribution) over the 30 days horizon.
 Performance (%) 

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Investment Outlook

LIC MF Investment Opportunity

DOW has a standard deviation of returns of 1.2 and is 9.223372036854776E16 times more volatile than LIC MF RGESS SR 3 RG PLN DVD P. 0% of all equities and portfolios are less risky than LIC MF. Compared to the overall equity markets, volatility of historical daily returns of LIC MF RGESS SR 3 RG PLN DVD P is lower than 0 (%) of all global equities and portfolios over the last 30 days.

LIC MF Volatility Indicators

LIC MF RGESS SR 3 RG PLN DVD P Current Risk Indicators

Please see also Stocks Correlation. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.