PIMCO Select (Ireland) Buy Hold or Sell Recommendation

    Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding PIMCO Select Uncons Bd Instl Hdg is 'Not Rated'. Macroaxis provides PIMCO Select buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding IE00B92R0348 positions. The advice algorithm takes into account all of PIMCO Select Uncons available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from IE00B92R0348 buy-and-hold prospective. Please also check Risk vs Return Analysis.

    Time Horizon

    Risk Tolerance

    Execute Advice
    Sell PIMCO SelectBuy PIMCO Select
    Not Rated
    For the selected time horizon PIMCO Select Uncons Bd Instl Hdg has a risk adjusted performance of (0.20), jensen alpha of 0.0, total risk alpha of (0.06), sortino ratio of 0.0 and treynor ratio of 0.0
    We provide buy or sell recommendations to complement the recent expert consensus on PIMCO Select Uncons. Our dynamic recommendation engine exercises multi - dimensional algorithm to analyze the entity potential to grow using all technical and fundamental data available now. Please employ PIMCO Select Three Year Return and the relationship between Net Asset and Cash Position Weight to make buy, hold, or sell decision on PIMCO Select Uncons.

    PIMCO Select Returns Distribution Density

    Mean Return0.02Value At Risk0.71
    Potential Upside0.41Standard Deviation0.22
     Return Density 

    PIMCO Select Alerts

    Trading Alerts and Improvement Suggestions

    PIMCO Select Uncons is not yet fully synchronised with the market data
    PIMCO Select Uncons has some characteristics of a very speculative penny stock
    The fund generated three year return of -3.0%
    PIMCO Select Uncons retains about 45.19% of its assets under management (AUM) in cash
    Please also check Risk vs Return Analysis. 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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