IDBI MIP (India) Manager Performance Evaluation

IDBIMIPQTDIV -- India Fund  

 12.88  0.06  0.46%

The fund owns Beta (Systematic Risk) of 0.0 which attests that the returns on MARKET and IDBI MIP are completely uncorrelated. Although it is extremely important to respect IDBI MIP Qt existing price patterns, it is better to be realistic regarding the information on equity price patterns. The approach into determining future performance of any fund is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators. By examining IDBI MIP Qt technical indicators you can right now evaluate if the expected return of 0.0% will be sustainable into the future.
Horizon     30 Days    Login   to change

IDBI MIP Qt Relative Risk vs. Return Landscape

If you would invest  1,288  in IDBI MIP Qt Div on August 22, 2018 and sell it today you would earn a total of  0.00  from holding IDBI MIP Qt Div or generate 0.0% return on investment over 30 days. IDBI MIP Qt Div is generating negative expected returns and assumes 0.0% volatility on return distribution over the 30 days horizon. Simply put, 0% of equities are less volatile than IDBI MIP Qt Div and 99% of equity instruments are likely to generate higher returns than the company over the next 30 trading days.
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IDBI MIP Market Risk Analysis

Sharpe Ratio = 0.0
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IDBIMIPQTDIV
Based on monthly moving average IDBI MIP is performing at about 0% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of IDBI MIP by adding it to a well-diversified portfolio.

IDBI MIP Performance Rating

IDBI MIP Qt Div Risk Adjusted Performance Analysis

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Risk-Adjusted Fund Performance

Over the last 30 days IDBI MIP Qt Div has generated negative risk-adjusted returns adding no value to fund investors.
Please also check Risk vs Return Analysis. Please also try Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of macroaxis ideas.
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