Man GLG (Ireland) Buy Hold or Sell Recommendation

    F00000W7WC -- Ireland Fund  

    JPY 9,617  134.00  1.37%

    Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding Man GLG Global Convertibles I JPY Acc is 'Not Rated'. Macroaxis provides Man GLG buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding Man GLG positions. The advice algorithm takes into account all of Man GLG Global available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from Man GLG buy-and-hold prospective. Additionally see Investing Opportunities.

    Time Horizon

    Risk Tolerance

    Execute Advice
    Sell Man GLGBuy Man GLG
    Not Rated
    For the selected time horizon Man GLG Global Convertibles I JPY Acc has a risk adjusted performance of 0.1245, jensen alpha of 0.9618, total risk alpha of 0.24, sortino ratio of 0.7894 and treynor ratio of 0.66
    Macroaxis provides buy or sell recommendations on Man GLG Global to complement and cross-verify current analyst consensus on Man GLG. Our advice engine determines the entity potential to grow exclusively from the prospective of investors current risk tolerance and investing horizon. Please verify Man GLG Global Convertibles I JPY Acc Cash Position Weight as well as the relationship between Equity Positions Weight and Bond Positions Weight to decide if your Man GLG Global Convertibles I JPY Acc buy or sell deciscion is justified.

    Man GLG Returns Distribution Density

    Mean Return0.80Value At Risk0.93
    Potential Upside1.30Standard Deviation3.29
     Return Density 

    Man GLG Alerts

    Trading Alerts and Improvement Suggestions

    The fund retains most of the assets under management (AUM) in different types of exotic instruments.
    Additionally see Investing Opportunities. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.