Public Service Enterprise Stock Price Prediction
| PEG Stock | USD 92.27 2.03 2.15% |
Oversold Vs Overbought
57
Oversold | Overbought |
Quarterly Earnings Growth 2.852 | EPS Estimate Next Quarter 0.83 | EPS Estimate Current Year 3.6641 | EPS Estimate Next Year 4.0475 | Wall Street Target Price 88.0067 |
Using Public Service hype-based prediction, you can estimate the value of Public Service Enterprise from the perspective of Public Service response to recently generated media hype and the effects of current headlines on its competitors.
Public Service Enterprise Hype to Price Pattern
Investor biases related to Public Service's public news can be used to forecast risks associated with an investment in Public. The trend in average sentiment can be used to explain how an investor holding Public can time the market purely based on public headlines and social activities around Public Service Enterprise. 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 Public Service's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Public Service.
The fear of missing out, i.e., FOMO, can cause potential investors in Public Service to buy its stock at a price that has no basis in reality. In that case, they are not buying Public 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.
Public Service after-hype prediction price | USD 92.32 |
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.
Public |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Public Service'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.
Public Service After-Hype Price Prediction Density Analysis
As far as predicting the price of Public Service 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 Public Service 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 Public Service, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Public Service Estimiated After-Hype Price Volatility
In the context of predicting Public Service's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Public Service's historical news coverage. Public Service's after-hype downside and upside margins for the prediction period are 90.81 and 93.83, respectively. We have considered Public Service'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
Public Service is very steady at this time. Analysis and calculation of next after-hype price of Public Service Enterprise is based on 3 months time horizon.
Public Service Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Public Service is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Public Service 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 Public Service, 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 |
0.23 | 1.51 | 0.05 | 0.11 | 7 Events / Month | 12 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
92.27 | 92.32 | 0.05 |
|
Public Service Hype Timeline
On the 3rd of December Public Service Enterprise is traded for 92.27. The entity has historical hype elasticity of 0.05, and average elasticity to hype of competition of 0.11. Public is forecasted to increase in value after the next headline, with the price projected to jump to 92.32 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is projected to be 0.05%, whereas the daily expected return is at this time at 0.23%. The volatility of related hype on Public Service is about 328.71%, with the expected price after the next announcement by competition of 92.38. The company reported the last year's revenue of 11.24 B. Total Income to common stockholders was 2.56 B with profit before taxes, overhead, and interest of 2.6 B. Considering the 90-day investment horizon the next forecasted press release will be in about 7 days. Check out Public Service Basic Forecasting Models to cross-verify your projections.Public Service Related Hype Analysis
Having access to credible news sources related to Public Service's direct competition is more important than ever and may enhance your ability to predict Public Service's future price movements. Getting to know how Public Service'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 Public Service may potentially react to the hype associated with one of its peers.
Public Service Additional Predictive Modules
Most predictive techniques to examine Public price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Public using various technical indicators. When you analyze Public 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 Public Service Predictive Indicators
The successful prediction of Public Service 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 Public Service Enterprise, 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 Public Service based on analysis of Public Service hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Public Service's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Public Service's related companies. | 2021 | 2022 | 2024 (projected) | Dividend Yield | 0.0307 | 0.0354 | 0.0506 | Price To Sales Ratio | 3.46 | 3.11 | 2.85 |
Story Coverage note for Public Service
The number of cover stories for Public Service depends on current market conditions and Public Service's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Public Service 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 Public Service'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
Public Service Short Properties
Public Service's future price predictability will typically decrease when Public Service's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Public Service Enterprise often depends not only on the future outlook of the potential Public Service'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. Public Service's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 500 M | |
| Cash And Short Term Investments | 54 M |
Complementary Tools for Public Stock analysis
When running Public Service's price analysis, check to measure Public Service'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 Public Service is operating at the current time. Most of Public Service's value examination focuses on studying past and present price action to predict the probability of Public Service's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Public Service's price. Additionally, you may evaluate how the addition of Public Service to your portfolios can decrease your overall portfolio volatility.
| Bonds Directory Find actively traded corporate debentures issued by US companies | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| 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 | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes |