Assuming 30 trading days horizon, and your above average risk tolerance our recommendation regarding Admiral Group plc is 'Hold'. Macroaxis provides Admiral Group plc buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding Admiral Group positions. The advice algorithm takes into account all of Admiral Group plc available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from Admiral Group buy-and-hold prospective. Check also Admiral Group Analyst Recommendation to compare Macroaxis Buy or Sell Recommendation with current analyst consensus.
Admiral Group Current RecommendationFor the selected time horizon Admiral Group plc has a risk adjusted performance of 0.15, jensen alpha of 0.11, total risk alpha of 0.08702, sortino ratio of 0.0 and treynor ratio of 1.79Macroaxis buy, hold, or sell recommendation module can be used to complement current analysts and expert consensus on Admiral Group. Our buy, hold, or sell suggestion engine makes use of analyzes the corporation potential to grow using all fundamental data market data available at the time. To make sure Admiral Group is not overpriced, please confirm all Admiral Group plc fundamentals including its Total Debt, and the relationship between Revenue and Number of Employees . Given that Admiral Group plc has Price to Book of 8.12 times, we suggest you validate Admiral Group plc market performance and probability of bankruptcy to make sure the company can sustain itself in the current economic cycle given your prevailing risk tolerance and investing horizon.
Returns Distribution Density
Admiral Group Greeks
Admiral Group Volatility Alert
|Better Than Average||Worse Than Average||Compare Admiral Group to competition|
Admiral Group Fundamental Vs Peers
Check also Admiral Group Analyst Recommendation to compare Macroaxis Buy or Sell Recommendation with current analyst consensus. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.