ICICI Pru (India) Financial Indicators Patterns

F00000PH29 -- India Fund  

INR 10.40  0.00  0.00%

Please harness ICICI Pru fundamental data analysis to find out if markets are right now mispricing the fund. We found six available reported financial drivers for ICICI Pru Banking which can be compared to its competitors. Please check out ICICI Pru Last Dividend Paid as well as the relationship between Cash Position Weight and Bond Positions Weight to decide if ICICI Pru is priced some-what accurately. Use ICICI Pru to protect your portfolios against small markets fluctuations. The fund experiences normal downward trend, but the immediate impact on correlations cannot be determined at the moment . Check odds of ICICI Pru to be traded at 10.3 in 30 days.

ICICI Pru Company Summary

ICICI Pru competes with Reliance FRF, DHFL Pramerica, UTI ST, IDFC All, and IDFC All. The investment objective of the Scheme is to generate regular income through investments in a basket of debt and money market instruments consisting predominantly of securities issued by entities such as Banks and Public Sector Undertakings with a view to providing reasonable returns,while maintaining an optimum balance of safety, liquidity and yield. ICICI Pru is traded on Bombay Stock Exchange in India.

ICICI Pru Last Dividend Paid vs Minimum Initial Investment

ICICI Pru Banking PSU Debt Dir Wk Dv is rated below average in last dividend paid among similar funds. It is rated below average in minimum initial investment among similar funds making about  500,000  of Minimum Initial Investment per Last Dividend Paid.

ICICI Pru Market Fundamentals

 Change(%) 0.00%

Distress Rating

ICICI Pru Financial Distress Probability

Chance of Financial Distress
ICICI Pru Banking PSU Debt Dir Wk Dv has less than 44 (%) percent chance of experiencing financial distress in the next 2 years of operations. More Info

ICICI Pru Opportunity Range

January 16, 2019 Opportunity Range

Additionally see Investing Opportunities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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