Jpmorgan Betabuilders Usd Etf Probability of Future Etf Price Finishing Under 46.55
| BBHY Etf | 46.74 0.01 0.02% |
JPMorgan |
JPMorgan BetaBuilders Target Price Odds to finish below 46.55
The tendency of JPMorgan 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 drop to 46.55 or more in 90 days |
| 46.74 | 90 days | 46.55 | about 58.55 |
Based on a normal probability distribution, the odds of JPMorgan BetaBuilders to drop to 46.55 or more in 90 days from now is about 58.55 (This JPMorgan BetaBuilders USD probability density function shows the probability of JPMorgan Etf to fall within a particular range of prices over 90 days) . Probability of JPMorgan BetaBuilders USD price to stay between 46.55 and its current price of 46.74 at the end of the 90-day period is about 22.99 .
Given the investment horizon of 90 days JPMorgan BetaBuilders has a beta of 0.13 suggesting as returns on the market go up, JPMorgan BetaBuilders average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding JPMorgan BetaBuilders USD will be expected to be much smaller as well. Additionally JPMorgan BetaBuilders USD has an alpha of 0.0041, implying that it can generate a 0.004077 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). JPMorgan BetaBuilders Price Density |
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Predictive Modules for JPMorgan BetaBuilders
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JPMorgan BetaBuilders USD. 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.JPMorgan BetaBuilders Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. JPMorgan BetaBuilders is not an exception. The market had few large corrections towards the JPMorgan BetaBuilders' 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 JPMorgan BetaBuilders USD, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of JPMorgan BetaBuilders within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0 | |
β | Beta against Dow Jones | 0.13 | |
σ | Overall volatility | 0.27 | |
Ir | Information ratio | -0.5 |
JPMorgan BetaBuilders Technical Analysis
JPMorgan BetaBuilders' future price can be derived by breaking down and analyzing its technical indicators over time. JPMorgan Etf technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of JPMorgan BetaBuilders USD. In general, you should focus on analyzing JPMorgan Etf price patterns and their correlations with different microeconomic environments and drivers.
JPMorgan BetaBuilders Predictive Forecast Models
JPMorgan BetaBuilders' time-series forecasting models is one of many JPMorgan BetaBuilders' 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 JPMorgan BetaBuilders' 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 JPMorgan BetaBuilders 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, JPMorgan BetaBuilders' short interest history, or implied volatility extrapolated from JPMorgan BetaBuilders options trading.
Check out JPMorgan BetaBuilders Backtesting, Portfolio Optimization, JPMorgan BetaBuilders Correlation, JPMorgan BetaBuilders Hype Analysis, JPMorgan BetaBuilders Volatility, JPMorgan BetaBuilders History as well as JPMorgan BetaBuilders Performance. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
The market value of JPMorgan BetaBuilders USD is measured differently than its book value, which is the value of JPMorgan that is recorded on the company's balance sheet. Investors also form their own opinion of JPMorgan BetaBuilders' value that differs from its market value or its book value, called intrinsic value, which is JPMorgan BetaBuilders' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because JPMorgan BetaBuilders' market value can be influenced by many factors that don't directly affect JPMorgan BetaBuilders' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between JPMorgan BetaBuilders' value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan BetaBuilders is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan BetaBuilders' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.