JP Morgan Stock Price Prediction

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JPM -- USA Stock  

 Earnings Call  Tomorrow

JP Morgan Chase stock price prediction is an act of determining the future value of JP Morgan shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of JP Morgan stock future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with JP Morgan Chase, which may create opportunities for some arbitrage if properly timed. Please see JP Morgan Basic Forecasting Models to cross-verify your projections.

Search Stock Price Prediction

It is a matter of debate whether stock price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of JP Morgan based on different types of headlines from major news networks to social media. The JP Morgan stock price prediction module provides an analysis of price elasticity to changes in media outlook on JP Morgan over a specific investment horizon. Using JP Morgan hype-based prediction, you can estimate the value of JP Morgan Chase from the perspective of JP Morgan response to recently generated media hype and the effects of current headlines on its competitors. JP Morgan Revenue to Assets are considerably stable at the moment as compared to the past year. The company's current value of Revenue to Assets is estimated at about 0.05. Dividend Yield is projected to rise to 0.0247 this year, although the value of Asset Turnover will most likely fall to 0.0375.
This module is based on analyzing investor sentiment around taking a position in JP Morgan. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in JP Morgan to buy its stock at a price that has no basis in reality. In that case, they are not buying JP Morgan because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.

JP Morgan after-hype prediction price

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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Estimates (9)
LowProjected EPSHigh
LowReal ValueHigh
LowNext ValueHigh
15 Analysts
LowTarget PriceHigh

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 smart people who confused the symmetrical distributions of stock 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

Current Value
13th of July 2020
After-hype Price
JP Morgan is very steady asset. Analysis and calculation of next after-hype price of JP Morgan Chase is based on 3 months time horizon.

JP Morgan Stock Price Prediction Analysis

Daily Expected returnPeriod VolatilityHype elasticityRelated hype elasticityAverage news densityRelated news densityNext Expected Hype
 0.07  3.28  0.19   0.04  8 Events / Month6 Events / MonthIn about 8 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility

JP Morgan Hype Timeline

On the 13th of July 2020 JP Morgan Chase is traded for 96.27. The entity has historical hype elasticity of -0.19 and average elasticity to hype of competition of -0.04. JP Morgan is forecasted to decline in value after the next headline with price expected to drop to 96.08. The average volatility of media hype impact on the company stock price is about 120.59%. The price depreciation on the next news is expected to be -0.2% whereas the daily expected return is currently at 0.07%. The volatility of related hype on JP Morgan is about 617.7% with expected price after next announcement by competition of 96.23. About 76.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.2. Some equities with similar Price to Book (P/B) outperform the market in the long run. JP Morgan Chase recorded earning per share (EPS) of 8.9. The entity last dividend was issued on the . The firm had 3:2 split on 12th of June 2000. Considering the 30-days investment horizon, the next forecasted press release will be in about 8 days.
Please see JP Morgan Basic Forecasting Models to cross-verify your projections.

JP Morgan Related Hype Analysis

At Risk
JP Morgan Chase(2.72) 8 per month 3.03 (0.0051)  5.79 (4.93)  17.33 
Bank Of Montreal(1.12) 9 per month 3.14 (0.0159)  5.60 (5.32)  19.80 
East West Bancorp(0.86) 8 per month 3.96  0.06  9.64 (6.99)  22.34 
Bank Nova Scotia 1.82 4 per month 2.56 (0.0271)  5.10 (4.53)  16.75 
Bank Of America(0.05) 9 per month 3.65  0.0069  6.95 (5.74)  18.72 
Barclays PLC(0.07) 8 per month 3.39  0.08  7.51 (4.51)  22.82 
ING Group N(0.06) 8 per month 3.71  0.08  6.51 (5.09)  20.23 
Canadian Imperial Bank(1.21) 4 per month 2.26  0.0203  4.34 (3.52)  14.06 
Citigroup(1.14) 9 per month 4.17  0.07  8.69 (5.93)  25.54 
Credit Suisse Group 0.1 8 per month 2.91  0.07  6.00 (4.25)  18.08 

JP Morgan Additional Predictive Modules

Most predictive techniques to examine JP Morgan stock price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for JP Morgan using various technical indicators. When you analyze JP Morgan 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
1 day Rate Of Change of a Triple Smooth EMA
Stochastic Fast
Balance Of Power
Chande Momentum Oscillator
Aroon Oscillator
Directional Movement Index
Rate of change
Rate of change percentage

About JP Morgan Predictive Indicators

The successful prediction of JP Morgan stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as JP Morgan Chase, already reflect all publically available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'text-book' version of this hypothesis and continually tries to find mispriced stocks to increase returns on his or her portfolios. We use internally-developed statistical techniques to arrive at the intrinsic value of BlackBerry Limited based on analysis of JP Morgan hews, social hype, and general headline patterns together with widely used predictive technical indicators. We also calculate exposure to JP Morgan's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to JP Morgan's related companies.
 2017 2018 2019 2020 (projected)
PPandE Turnover8.059.036.998.16
Calculated Tax Rate31.9220.3418.2224.79
Please see JP Morgan Basic Forecasting Models to cross-verify your projections. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Macroaxis is not a registered investment advisor or broker/dealer. All investments, including stocks, funds, ETFs, or cryptocurrencies, are speculative and involve substantial risk of loss. We encourage our investors to invest carefully. Much of our information is derived directly from data published by companies or submitted to governmental agencies which we believe are reliable, but are without our independent verification. Therefore, we cannot assure you that the information is accurate or complete. We do not in any way warrant or guarantee the success of any action you take in reliance on our statements or recommendations. Also, note that past performance is not necessarily indicative of future results. All investments carry risk, and all investment decisions of an individual remain the responsibility of that individual. There is no guarantee that systems, indicators, or signals will result in profits or that they will not result in losses. All investors are advised to fully understand all risks associated with any investing they choose to do. Hypothetical or simulated performance is not indicative of future results. We make no representations or warranties that any investor will, or is likely to, achieve profits similar to those shown because hypothetical or simulated performance is not necessarily indicative of future results. For more information please visit our terms and condition page