Mercer Passive (Ireland) Probability of Target Price Finishing Over Current Price |
| F00000VZHC -- Ireland Fund | EUR 125.25 0.73 0.59% |
Mercer Passive probability of target price tool provides mechanism to make assumptions about upside and downside potential of Mercer Passive Global Equity M 5 performance during a given time horizon utilizing its historical volatility. Please specify Mercer Passive time horizon, a valid symbol (red box) and a target price (blue box) you would like Mercer Passive odds to be computed. Additionally see Investing Opportunities.
| Horizon | 30 Days Login to change |
| Symbol: | Refresh Odds |
Mercer Passive Target Price Odds to finish over
| Current Price | Horizon | Target Price | Odds to move above current price in 30 days |
| 125.25 | 30 days | 125.25 | ABOUT 24.93% |
Based on normal probability distribution, the odds of Mercer Passive to move above current price in 30 days from now is about 24.93% (This Mercer Passive Global Equity M 5 probability density function shows the probability of Mercer Passive Fund to fall within a particular range of prices over 30 days) .
Assuming 30 trading days horizon, Mercer Passive has beta of 0.0055 suggesting as returns on market go up, Mercer Passive average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Mercer Passive Global Equity M 5 will be expected to be much smaller as well. Additionally Mercer Passive Global Equity M 5 has an alpha of 0.1421 implying that it can potentially generate 0.1421% excess return over DOW after adjusting for the inherited market risk (beta). Mercer Passive Price Density |
α | Alpha over DOW | = | 0.14 | |
β | Beta against DOW | = | 0.0055 | |
σ | Overall volatility | = | 56.44 | |
Ir | Information ratio | = | 0.39 |
Mercer Passive Technical Analysis
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Mercer Passive Alerts and Suggestions
| Mercer Passive is not yet fully synchronised with the market data |
Additionally see Investing Opportunities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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