John Hancock Hedged Etf Probability of Future Etf Price Finishing Over 9.93
| HEQ Etf | USD 11.04 0.07 0.64% |
John |
John Hancock Target Price Odds to finish over 9.93
The tendency of John Etf 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 stay above $ 9.93 in 90 days |
| 11.04 | 90 days | 9.93 | close to 99 |
Based on a normal probability distribution, the odds of John Hancock to stay above $ 9.93 in 90 days from now is close to 99 (This John Hancock Hedged probability density function shows the probability of John Etf to fall within a particular range of prices over 90 days) . Probability of John Hancock Hedged price to stay between $ 9.93 and its current price of $11.04 at the end of the 90-day period is more than 93.0 .
Considering the 90-day investment horizon John Hancock Hedged has a beta of -0.088. This usually indicates as returns on the benchmark increase, returns on holding John Hancock are expected to decrease at a much lower rate. During a bear market, however, John Hancock Hedged is likely to outperform the market. Additionally John Hancock Hedged has an alpha of 0.0525, implying that it can generate a 0.0525 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). 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 Hedged. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 Hedged, 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 Dow Jones | 0.05 | |
β | Beta against Dow Jones | -0.09 | |
σ | Overall volatility | 0.14 | |
Ir | Information ratio | -0.1 |
John Hancock Technical Analysis
John Hancock's future price can be derived by breaking down and analyzing its technical indicators over time. John Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of John Hancock Hedged. In general, you should focus on analyzing John Etf 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 etf 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 etf 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 John Hancock 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, John Hancock's short interest history, or implied volatility extrapolated from John Hancock options trading.
Other Information on Investing in John Etf
John Hancock financial ratios help investors to determine whether John Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in John with respect to the benefits of owning John Hancock security.