JPMorgan Municipal Buy Hold or Sell Recommendation

    OTBBX -- USA Fund  

    USD 9.92  0.01  0.00%

    Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding JPMorgan Municipal Income B is 'Not Rated'. Macroaxis provides JPMorgan Municipal buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding OTBBX positions. The advice algorithm takes into account all of JPMorgan Municipal available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from OTBBX buy-and-hold prospective. Additionally take a look at Your Equity Center.

    Time Horizon

    Risk Tolerance

    Execute Advice
    Sell JPMorgan MunicipalBuy JPMorgan Municipal
    Not Rated
    For the selected time horizon JPMorgan Municipal Income B has a risk adjusted performance of (0.27), jensen alpha of (0.009571), total risk alpha of (0.007928), sortino ratio of 0.0 and treynor ratio of (1.41)
    We provide buy, hold, or sell suggestion to complement the regular expert consensus on JPMorgan Municipal. Our dynamic recommendation engine utilizes multi - dimensional algorithm to analyze the fund potential to grow using all technical and fundamental data available now. Use JPMorgan Municipal Ten Year Return and Cash Position Weight to make sure your buy or sell decision on JPMorgan Municipal is adequate.

    JPMorgan Municipal Returns Distribution Density

    Mean Return0.000023Value At Risk0.1
    Potential Upside0.10Standard Deviation0.07
     Return Density 

    JPMorgan Municipal Alerts

    Trading Alerts and Improvement Suggestions

    JPMorgan Municipal is not yet fully synchronised with the market data
    The fund yields 0.0% to date and shows negative annual yield of 2.0%
    JPMorgan Municipal maintains about 97.62% of its assets in bonds
    Additionally take a look at Your Equity Center. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.