POL EM (Ireland) Manager Performance Evaluation

12381464 -- Ireland Fund  

USD 10.28  0.89  9.48%

The fund holds Beta of 1.0085 which implies POL EM returns are very sensitive to returns on the market. as market goes up or down, POL EM is expected to follow.. Although it is extremely important to respect POL EM MKT current trending patterns, it is better to be realistic regarding the information on equity existing price patterns. The approach towards forecasting 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 inspecting POL EM MKT technical indicators you can now evaluate if the expected return of 0.0% will be sustainable into the future.
 Time Horizon     30 Days    Login   to change

POL EM MKT Relative Risk vs. Return Landscape

If you would invest  1,028  in POL EM MKT USD R AC on July 20, 2018 and sell it today you would earn a total of  0.00  from holding POL EM MKT USD R AC or generate 0.0% return on investment over 30 days. POL EM MKT USD R AC 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 POL EM MKT USD R AC and 99% of equity instruments are likely to generate higher returns than the company over the next 30 trading days.
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POL EM Market Risk Analysis

Sharpe Ratio = 0.0
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Based on monthly moving average POL EM 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 POL EM by adding it to a well-diversified portfolio.

Performance Rating

POL EM MKT USD R AC Risk Adjusted Performance Analysis
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Risk-Adjusted Fund Performance

Over the last 30 days POL EM MKT USD R AC has generated negative risk-adjusted returns adding no value to fund investors.
Check also Trending Equities. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.