25092721 (Ireland) Manager Performance Evaluation

The entity owns Beta (Systematic Risk) of 0.0 which signifies that the returns on MARKET and 25092721 are completely uncorrelated. Although it is extremely important to respect 25092721 existing price patterns, it is better to be realistic regarding the information on equity price patterns. The way in which we are foreseeing 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 evaluating 25092721 technical indicators you can at this moment evaluate if the expected return of 0.0% will be sustainable into the future.
Horizon     30 Days    Login   to change

25092721 Relative Risk vs. Return Landscape

If you would invest  0.00  in 25092721 on January 23, 2019 and sell it today you would earn a total of  0.00  from holding 25092721 or generate 0.0% return on investment over 30 days. 25092721 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 25092721 and 99% of equity instruments are likely to generate higher returns than the company over the next 30 trading days.
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25092721 Market Risk Analysis

Sharpe Ratio = 0.0
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Based on monthly moving average 25092721 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 25092721 by adding it to a well-diversified portfolio.

25092721 Performance Rating

25092721 Risk Adjusted Performance Analysis


Risk-Adjusted Fund Performance

Over the last 30 days 25092721 has generated negative risk-adjusted returns adding no value to fund investors.

25092721 Alerts

Equity Alerts and Improvement Suggestions

25092721 is not yet fully synchronised with the market data
25092721 has some characteristics of a very speculative penny stock
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.
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