Us Bancorp Stock Price Prediction
USB Stock | USD 53.29 0.19 0.36% |
Oversold Vs Overbought
58
Oversold | Overbought |
Quarterly Earnings Growth 0.127 | EPS Estimate Next Quarter 1.01 | EPS Estimate Current Year 3.9005 | EPS Estimate Next Year 4.337 | Wall Street Target Price 54.7481 |
Using US Bancorp hype-based prediction, you can estimate the value of US Bancorp from the perspective of US Bancorp response to recently generated media hype and the effects of current headlines on its competitors.
US Bancorp Hype to Price Pattern
Investor biases related to US Bancorp's public news can be used to forecast risks associated with an investment in USB. The trend in average sentiment can be used to explain how an investor holding USB can time the market purely based on public headlines and social activities around US Bancorp. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of US Bancorp's market sentiment to its price can help taders to make decisions based on the overall investors consensus about US Bancorp.
The fear of missing out, i.e., FOMO, can cause potential investors in US Bancorp to buy its stock at a price that has no basis in reality. In that case, they are not buying USB 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.
US Bancorp after-hype prediction price | USD 53.05 |
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.
USB |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of US Bancorp'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.
US Bancorp After-Hype Price Prediction Density Analysis
As far as predicting the price of US Bancorp 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 US Bancorp 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 US Bancorp, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
US Bancorp Estimiated After-Hype Price Volatility
In the context of predicting US Bancorp's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on US Bancorp's historical news coverage. US Bancorp's after-hype downside and upside margins for the prediction period are 51.26 and 54.84, respectively. We have considered US Bancorp'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
US Bancorp is very steady at this time. Analysis and calculation of next after-hype price of US Bancorp is based on 3 months time horizon.
US Bancorp Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as US Bancorp is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading US Bancorp 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 US Bancorp, 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 |
0.25 | 1.79 | 0.24 | 0.16 | 12 Events / Month | 6 Events / Month | In about 12 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
53.29 | 53.05 | 0.45 |
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US Bancorp Hype Timeline
On the 30th of November US Bancorp is traded for 53.29. The entity has historical hype elasticity of -0.24, and average elasticity to hype of competition of 0.16. USB is projected to decline in value after the next headline, with the price expected to drop to 53.05. The average volatility of media hype impact on the company price is about 182.65%. The price depreciation on the next news is expected to be -0.45%, whereas the daily expected return is at this time at 0.25%. The volatility of related hype on US Bancorp is about 277.32%, with the expected price after the next announcement by competition of 53.45. About 80.0% of the company outstanding shares are owned by institutional investors. The company has Price to Book (P/B) ratio of 1.6. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. US Bancorp has Price/Earnings To Growth (PEG) ratio of 1.34. The entity last dividend was issued on the 30th of September 2024. The firm had 3:1 split on the 16th of April 1999. Considering the 90-day investment horizon the next projected press release will be in about 12 days. Check out US Bancorp Basic Forecasting Models to cross-verify your projections.US Bancorp Related Hype Analysis
Having access to credible news sources related to US Bancorp's direct competition is more important than ever and may enhance your ability to predict US Bancorp's future price movements. Getting to know how US Bancorp'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 US Bancorp may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
PNC | PNC Financial Services | 1.80 | 8 per month | 0.88 | 0.09 | 2.54 | (1.97) | 9.52 | |
KEY | KeyCorp | 0.03 | 5 per month | 1.37 | 0.05 | 2.99 | (2.54) | 19.76 | |
ZION | Zions Bancorporation | (0.39) | 11 per month | 1.47 | 0.08 | 3.51 | (2.89) | 20.65 | |
FITB | Fifth Third Bancorp | 0.88 | 7 per month | 0.99 | 0.05 | 2.23 | (2.01) | 10.60 | |
TFC | Truist Financial Corp | 0.54 | 9 per month | 1.19 | 0.01 | 2.26 | (2.46) | 12.77 | |
MTB | MT Bank | 4.87 | 8 per month | 0.84 | 0.13 | 3.41 | (1.59) | 16.03 | |
HBAN | Huntington Bancshares Incorporated | 0.26 | 7 per month | 0.88 | 0.10 | 2.75 | (2.28) | 14.20 | |
CMA | Comerica | (0.21) | 8 per month | 1.33 | 0.13 | 3.23 | (2.64) | 14.10 | |
WAL | Western Alliance Bancorporation | (0.61) | 11 per month | 2.14 | 0.05 | 3.91 | (3.17) | 19.53 | |
PACW | PacWest Bancorp | 0.00 | 0 per month | 11.32 | 0.05 | 17.58 | (14.58) | 104.70 | |
FHN | First Horizon National | (0.07) | 10 per month | 1.23 | 0.11 | 3.77 | (2.49) | 18.94 |
US Bancorp Additional Predictive Modules
Most predictive techniques to examine USB price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for USB using various technical indicators. When you analyze USB 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 US Bancorp Predictive Indicators
The successful prediction of US Bancorp 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 US 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 US Bancorp based on analysis of US Bancorp hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to US Bancorp's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to US Bancorp's related companies. 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0345 | 0.0474 | 0.0496 | 0.0521 | Price To Sales Ratio | 3.68 | 2.69 | 2.38 | 2.26 |
Story Coverage note for US Bancorp
The number of cover stories for US Bancorp depends on current market conditions and US Bancorp's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that US Bancorp 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 US Bancorp'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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US Bancorp Short Properties
US Bancorp's future price predictability will typically decrease when US Bancorp's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of US Bancorp often depends not only on the future outlook of the potential US Bancorp'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. US Bancorp's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 1.5 B | |
Cash And Short Term Investments | 61.1 B |
Complementary Tools for USB Stock analysis
When running US Bancorp's price analysis, check to measure US Bancorp'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 US Bancorp is operating at the current time. Most of US Bancorp's value examination focuses on studying past and present price action to predict the probability of US Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move US Bancorp's price. Additionally, you may evaluate how the addition of US Bancorp to your portfolios can decrease your overall portfolio volatility.
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