John Hancock Financial Fund Probability of Future Fund Price Finishing Over 26.45
| BTO Fund | USD 26.45 0.09 0.34% |
John |
John Hancock Target Price Odds to finish over 26.45
The tendency of John 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 move above the current price in 90 days |
| 26.45 | 90 days | 26.45 | about 98.0 |
Based on a normal probability distribution, the odds of John Hancock to move above the current price in 90 days from now is about 98.0 (This John Hancock Financial probability density function shows the probability of John Fund to fall within a particular range of prices over 90 days) .
Considering the 90-day investment horizon the fund has the beta coefficient of 1.43 suggesting as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, John Hancock will likely underperform. Additionally John Hancock Financial has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the NYSE Composite. John Hancock Price Density |
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Predictive Modules for John Hancock
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as John Hancock Financial. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of John Hancock's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
John Hancock Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. John Hancock is not an exception. The market had few large corrections towards the John Hancock'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 John Hancock Financial, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of John Hancock within the framework of very fundamental risk indicators.α | Alpha over NYSE Composite | -0.23 | |
β | Beta against NYSE Composite | 1.43 | |
σ | Overall volatility | 0.98 | |
Ir | Information ratio | -0.15 |
John Hancock Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of John Hancock for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for John Hancock Financial can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| John Hancock generated a negative expected return over the last 90 days | |
| Latest headline from news.google.com: Should You Buy Invesco Bond Fund in Asset Management Industry - InvestorsObserver | |
| The fund generated three year return of -3.0% |
John Hancock Technical Analysis
John Hancock's future price can be derived by breaking down and analyzing its technical indicators over time. John Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of John Hancock Financial. In general, you should focus on analyzing John Fund price patterns and their correlations with different microeconomic environments and drivers.
John Hancock Predictive Forecast Models
John Hancock's time-series forecasting models is one of many John Hancock'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 John Hancock'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.
Things to note about John Hancock Financial
Checking the ongoing alerts about John Hancock for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for John Hancock Financial help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| John Hancock generated a negative expected return over the last 90 days | |
| Latest headline from news.google.com: Should You Buy Invesco Bond Fund in Asset Management Industry - InvestorsObserver | |
| The fund generated three year return of -3.0% |
Check out John Hancock Backtesting, Portfolio Optimization, John Hancock Correlation, John Hancock Hype Analysis, John Hancock Volatility, John Hancock History as well as John Hancock Performance. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.