JP Morgan Etf Forecast - Simple Regression
| JBND Etf | 54.03 0.02 0.04% |
The Simple Regression forecasted value of JP Morgan Exchange Traded on the next trading day is expected to be 54.13 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.82. JBND Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast JP Morgan stock prices and determine the direction of JP Morgan Exchange Traded's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of JP Morgan's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, the relative strength momentum indicator of JP Morgan's share price is approaching 49. This indicates that the etf is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling JP Morgan, making its price go up or down. Momentum 49
Impartial
Oversold | Overbought |
Using JP Morgan hype-based prediction, you can estimate the value of JP Morgan Exchange Traded from the perspective of JP Morgan response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of JP Morgan Exchange Traded on the next trading day is expected to be 54.13 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.82. JP Morgan after-hype prediction price | USD 54.03 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of JP Morgan to cross-verify your projections. JP Morgan Additional Predictive Modules
Most predictive techniques to examine JBND price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for JBND using various technical indicators. When you analyze JBND charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
JP Morgan Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of JP Morgan Exchange Traded on the next trading day is expected to be 54.13 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.82.Please note that although there have been many attempts to predict JBND Etf prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that JP Morgan's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
JP Morgan Etf Forecast Pattern
| Backtest JP Morgan | JP Morgan Price Prediction | Buy or Sell Advice |
JP Morgan Forecasted Value
In the context of forecasting JP Morgan's Etf value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. JP Morgan's downside and upside margins for the forecasting period are 53.93 and 54.33, respectively. We have considered JP Morgan's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of JP Morgan etf data series using in forecasting. Note that when a statistical model is used to represent JP Morgan etf, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 115.9953 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.11 |
| MAPE | Mean absolute percentage error | 0.002 |
| SAE | Sum of the absolute errors | 6.823 |
Predictive Modules for JP Morgan
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as JP Morgan Exchange. 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.JP Morgan After-Hype Price Prediction Density Analysis
As far as predicting the price of JP Morgan at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in JP Morgan or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of JP Morgan, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
JP Morgan Estimiated After-Hype Price Volatility
In the context of predicting JP Morgan's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on JP Morgan's historical news coverage. JP Morgan's after-hype downside and upside margins for the prediction period are 53.83 and 54.23, respectively. We have considered JP Morgan's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
JP Morgan is very steady at this time. Analysis and calculation of next after-hype price of JP Morgan Exchange is based on 3 months time horizon.
JP Morgan Etf Price Prediction Analysis
Have you ever been surprised when a price of a ETF such as JP Morgan is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading JP Morgan backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with JP Morgan, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 0.20 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
54.03 | 54.03 | 0.00 |
|
JP Morgan Hype Timeline
JP Morgan Exchange is currently traded for 54.03. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. JBND is estimated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is estimated to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on JP Morgan is about 0.0%, with the expected price after the next announcement by competition of 54.03. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next estimated press release will be uncertain. Check out Historical Fundamental Analysis of JP Morgan to cross-verify your projections.JP Morgan Related Hype Analysis
Having access to credible news sources related to JP Morgan's direct competition is more important than ever and may enhance your ability to predict JP Morgan's future price movements. Getting to know how JP Morgan's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how JP Morgan may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| VUSUX | Vanguard Long Term Treasury | 0.00 | 0 per month | 0.00 | (0.31) | 0.50 | (0.97) | 2.00 | |
| FGDIX | Fidelity Advisor Gold | 0.00 | 0 per month | 2.25 | 0.15 | 4.53 | (4.20) | 11.39 | |
| VCRB | Vanguard Core Bond | 0.00 | 0 per month | 0.18 | (0.55) | 0.28 | (0.28) | 0.76 | |
| FFVFX | Fidelity Freedom 2015 | 0.00 | 0 per month | 0.22 | (0.23) | 0.50 | (0.50) | 1.24 | |
| FFANX | Fidelity Asset Manager | 0.00 | 0 per month | 0.27 | (0.18) | 0.57 | (0.64) | 1.49 | |
| JTEK | JPMorgan Tech Leaders | 0.00 | 0 per month | 0.00 | (0.11) | 2.13 | (2.76) | 6.69 | |
| QQQI | NEOS Nasdaq 100 | 0.00 | 0 per month | 0.97 | (0.08) | 1.20 | (1.70) | 4.27 | |
| FHKCX | Fidelity China Region | 0.00 | 0 per month | 0.81 | 0.02 | 1.73 | (1.22) | 4.38 | |
| FIFGX | Fidelity Sai Inflationfocused | 0.00 | 0 per month | 0.74 | 0.04 | 1.61 | (1.35) | 3.67 | |
| BTC | Grayscale Bitcoin Mini | 0.00 | 0 per month | 0.00 | (0.14) | 4.06 | (4.96) | 12.79 |
Other Forecasting Options for JP Morgan
For every potential investor in JBND, whether a beginner or expert, JP Morgan's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. JBND Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in JBND. Basic forecasting techniques help filter out the noise by identifying JP Morgan's price trends.JP Morgan Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with JP Morgan etf to make a market-neutral strategy. Peer analysis of JP Morgan could also be used in its relative valuation, which is a method of valuing JP Morgan by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
JP Morgan Market Strength Events
Market strength indicators help investors to evaluate how JP Morgan etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading JP Morgan shares will generate the highest return on investment. By undertsting and applying JP Morgan etf market strength indicators, traders can identify JP Morgan Exchange Traded entry and exit signals to maximize returns.
JP Morgan Risk Indicators
The analysis of JP Morgan's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in JP Morgan's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting jbnd etf prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.1569 | |||
| Semi Deviation | 0.1932 | |||
| Standard Deviation | 0.1969 | |||
| Variance | 0.0388 | |||
| Downside Variance | 0.0399 | |||
| Semi Variance | 0.0373 | |||
| Expected Short fall | (0.18) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for JP Morgan
The number of cover stories for JP Morgan depends on current market conditions and JP Morgan's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that JP Morgan is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about JP Morgan's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of JP Morgan to cross-verify your projections. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
The market value of JP Morgan Exchange is measured differently than its book value, which is the value of JBND that is recorded on the company's balance sheet. Investors also form their own opinion of JP Morgan's value that differs from its market value or its book value, called intrinsic value, which is JP Morgan's 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 JP Morgan's market value can be influenced by many factors that don't directly affect JP Morgan's 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 JP Morgan's value and its price as these two are different measures arrived at by different means. Investors typically determine if JP Morgan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JP Morgan's 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.