John Marshall Bancorp Stock Price Prediction
| JMSB Stock | USD 23.02 0.37 1.63% |
Oversold Vs Overbought
62
Oversold | Overbought |
Quarterly Earnings Growth (0.15) | Quarterly Revenue Growth (0.05) |
Using John Marshall hype-based prediction, you can estimate the value of John Marshall Bancorp from the perspective of John Marshall response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in John Marshall to buy its stock at a price that has no basis in reality. In that case, they are not buying John 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.
John Marshall after-hype prediction price | USD 22.27 |
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.
John |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of John Marshall'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 Marshall After-Hype Price Prediction Density Analysis
As far as predicting the price of John Marshall 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 John Marshall 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 Stock prices, such as prices of John Marshall, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
John Marshall Estimiated After-Hype Price Volatility
In the context of predicting John Marshall's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on John Marshall's historical news coverage. John Marshall's after-hype downside and upside margins for the prediction period are 19.46 and 25.08, respectively. We have considered John Marshall'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
John Marshall is not too volatile at this time. Analysis and calculation of next after-hype price of John Marshall Bancorp is based on 3 months time horizon.
John Marshall Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as John Marshall is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading John Marshall 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 Stock 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 John Marshall, 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 |
0.37 | 2.78 | 0.10 | 0.01 | 9 Events / Month | 1 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
23.02 | 22.27 | 0.45 |
|
John Marshall Hype Timeline
John Marshall Bancorp is currently traded for 23.02. The entity has historical hype elasticity of -0.1, and average elasticity to hype of competition of 0.01. John is projected to decline in value after the next headline, with the price expected to drop to 22.27. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.45%, whereas the daily expected return is currently at 0.37%. The volatility of related hype on John Marshall is about 15885.71%, with the expected price after the next announcement by competition of 23.03. About 12.0% of the company shares are held by company insiders. The company has price-to-book ratio of 1.31. Some equities with similar Price to Book (P/B) outperform the market in the long run. John Marshall Bancorp last dividend was issued on the 28th of June 2024. The entity had 125:100 split on the 6th of September 2017. Given the investment horizon of 90 days the next projected press release will be in about 9 days. Check out John Marshall Basic Forecasting Models to cross-verify your projections.John Marshall Related Hype Analysis
Having access to credible news sources related to John Marshall's direct competition is more important than ever and may enhance your ability to predict John Marshall's future price movements. Getting to know how John Marshall'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 John Marshall may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FNWD | Finward Bancorp | 0.14 | 8 per month | 0.77 | 0.06 | 2.48 | (1.80) | 12.55 | |
| AQUI | Aquagold International | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LBHIX | Thrivent High Yield | 0.00 | 0 per month | 0.00 | (0.49) | 0.24 | (0.24) | 0.96 | |
| MSTSX | Morningstar Unconstrained Allocation | 0.00 | 0 per month | 0.50 | (0.09) | 1.21 | (1.02) | 2.80 | |
| VIASP | Via Renewables | 0.00 | 0 per month | 1.11 | (0.01) | 2.28 | (1.20) | 7.18 | |
| RRTLX | T Rowe Price | 0.00 | 0 per month | 0.23 | (0.27) | 0.48 | (0.56) | 1.36 | |
| OSHDF | Oshidori International Holdings | 0.00 | 0 per month | 0.00 | 0.12 | 0.00 | 0.00 | 1,329 | |
| 70082LAB3 | US70082LAB36 | 0.00 | 0 per month | 1.00 | (0.03) | 1.75 | (1.19) | 6.86 |
John Marshall Additional Predictive Modules
Most predictive techniques to examine John price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for John using various technical indicators. When you analyze John 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 |
About John Marshall Predictive Indicators
The successful prediction of John Marshall 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 John Marshall Bancorp, already reflect all publicly 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 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of John Marshall based on analysis of John Marshall hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to John Marshall's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to John Marshall's related companies. | 2023 | 2024 (projected) | Dividend Yield | 0.009787 | 0.006707 | Price To Sales Ratio | 8.19 | 8.6 |
Story Coverage note for John Marshall
The number of cover stories for John Marshall depends on current market conditions and John Marshall's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that John Marshall 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 John Marshall's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Contributor Headline
Latest Perspective From Macroaxis
John Marshall Short Properties
John Marshall's future price predictability will typically decrease when John Marshall's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of John Marshall Bancorp often depends not only on the future outlook of the potential John Marshall's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. John Marshall's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 14.1 M | |
| Cash And Short Term Investments | 177.4 M |
Complementary Tools for John Stock analysis
When running John Marshall's price analysis, check to measure John Marshall's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy John Marshall is operating at the current time. Most of John Marshall's value examination focuses on studying past and present price action to predict the probability of John Marshall's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move John Marshall's price. Additionally, you may evaluate how the addition of John Marshall to your portfolios can decrease your overall portfolio volatility.
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |