Manulife Dividend Income Fund Probability of Future Fund Price Finishing Under 12.27
| 0P000075MK | 12.31 0.00 0.00% |
Manulife |
Manulife Dividend Target Price Odds to finish below 12.27
The tendency of Manulife Fund price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to 12.27 or more in 90 days |
| 12.31 | 90 days | 12.27 | more than 93.0 |
Based on a normal probability distribution, the odds of Manulife Dividend to drop to 12.27 or more in 90 days from now is more than 93.0 (This Manulife Dividend Income probability density function shows the probability of Manulife Fund to fall within a particular range of prices over 90 days) . Probability of Manulife Dividend Income price to stay between 12.27 and its current price of 12.31 at the end of the 90-day period is about 1.14 .
Assuming the 90 days trading horizon Manulife Dividend has a beta of 0.2. This suggests as returns on the market go up, Manulife Dividend average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Manulife Dividend Income will be expected to be much smaller as well. Additionally Manulife Dividend Income has an alpha of 0.1657, implying that it can generate a 0.17 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Manulife Dividend Price Density |
| Price |
Predictive Modules for Manulife Dividend
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Manulife Dividend Income. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Manulife Dividend Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Manulife Dividend is not an exception. The market had few large corrections towards the Manulife Dividend's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Manulife Dividend Income, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Manulife Dividend within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.17 | |
β | Beta against Dow Jones | 0.20 | |
σ | Overall volatility | 0.43 | |
Ir | Information ratio | 0.16 |
Manulife Dividend Technical Analysis
Manulife Dividend's future price can be derived by breaking down and analyzing its technical indicators over time. Manulife Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Manulife Dividend Income. In general, you should focus on analyzing Manulife Fund price patterns and their correlations with different microeconomic environments and drivers.
Manulife Dividend Predictive Forecast Models
Manulife Dividend's time-series forecasting models is one of many Manulife Dividend's fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Manulife Dividend's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the fund market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Manulife Dividend in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Manulife Dividend's short interest history, or implied volatility extrapolated from Manulife Dividend options trading.
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon |