Legg Mason (Ireland) Financial Diagnostics |
| IE00BDCRQ675 -- Ireland Fund | USD 131.79 0.00 0.00% |
Legg Mason MC Asia Lg Trm Uncons F Acc diagnostics interface makes it easy to digest most current publicly released information about Legg Mason as well as get updates on important government artifacts including earning estimates, SEC corporate filings and announcements. This module also helps to analysis Legg Mason price relationship with some important fundamental indicators such as market cap and management efficiency.
Legg Mason Note
It is possible that Legg Mason MC Asia Lg Trm Uncons F Acc fund was delisted, renamed or otherwise removed from the exchange.
Legg Mason MC Alerts
| Legg Mason MC generates negative expected return over the last 30 days |
Legg Mason Technical and Predictive Indicators
| Risk Adjusted Performance | 0.06 | ||
| Market Risk Adjusted Performance | 0.52 | ||
| Mean Deviation | 0.601 | ||
| Coefficient Of Variation | 822.95 | ||
| Standard Deviation | 0.7972 | ||
| Variance | 0.6355 | ||
| Information Ratio | 0.27 | ||
| Jensen Alpha | 0.13 | ||
| Total Risk Alpha | 0.27 | ||
| Treynor Ratio | 0.53 | ||
| Maximum Drawdown | 3.54 | ||
| Value At Risk | 1.32 | ||
| Potential Upside | 0.6821 | ||
| Skewness | 0.34 | ||
| Kurtosis | 0.9886 |
| Risk Adjusted Performance | 0.06 | ||
| Market Risk Adjusted Performance | 0.52 | ||
| Mean Deviation | 0.601 | ||
| Coefficient Of Variation | 822.95 | ||
| Standard Deviation | 0.7972 | ||
| Variance | 0.6355 | ||
| Information Ratio | 0.27 | ||
| Jensen Alpha | 0.13 | ||
| Total Risk Alpha | 0.27 | ||
| Treynor Ratio | 0.53 | ||
| Maximum Drawdown | 3.54 | ||
| Value At Risk | 1.32 | ||
| Potential Upside | 0.6821 | ||
| Skewness | 0.34 | ||
| Kurtosis | 0.9886 |
Insider ScreenerFind insiders across different sectors to evaluate their impact on performance |
| All Next | Launch Insider Screener |
Also Currentnly Active
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.