Everest Group Stock Price Prediction
EG Stock | 389.00 3.85 1.00% |
Oversold Vs Overbought
46
Oversold | Overbought |
Quarterly Earnings Growth (0.24) | EPS Estimate Next Quarter 14.89 | EPS Estimate Current Year 59.0618 | EPS Estimate Next Year 66.5966 | Wall Street Target Price 429 |
Using Everest hype-based prediction, you can estimate the value of Everest Group from the perspective of Everest 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 Everest to buy its stock at a price that has no basis in reality. In that case, they are not buying Everest 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.
Everest after-hype prediction price | USD 388.76 |
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.
Everest |
Everest After-Hype Price Prediction Density Analysis
As far as predicting the price of Everest 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 Everest 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 Everest, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Everest Estimiated After-Hype Price Volatility
In the context of predicting Everest's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Everest's historical news coverage. Everest's after-hype downside and upside margins for the prediction period are 386.90 and 390.62, respectively. We have considered Everest'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
Everest is very steady at this time. Analysis and calculation of next after-hype price of Everest Group is based on 3 months time horizon.
Everest Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Everest is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Everest 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 Everest, 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 |
0.03 | 1.86 | 0.24 | 0.01 | 9 Events / Month | 4 Events / Month | In about 9 days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
389.00 | 388.76 | 0.06 |
|
Everest Hype Timeline
As of November 25, 2024 Everest Group is listed for 389.00. The entity has historical hype elasticity of -0.24, and average elasticity to hype of competition of -0.01. Everest is forecasted to decline in value after the next headline, with the price expected to drop to 388.76. The average volatility of media hype impact on the company price is about 23.4%. The price decline on the next news is expected to be -0.06%, whereas the daily expected return is currently at 0.03%. The volatility of related hype on Everest is about 397.86%, with the expected price after the next announcement by competition of 388.99. About 97.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.09. Some equities with similar Price to Book (P/B) outperform the market in the long run. Everest Group recorded earning per share (EPS) of 64.11. The entity last dividend was issued on the 27th of November 2024. Allowing for the 90-day total investment horizon the next forecasted press release will be in about 9 days. Check out Everest Basic Forecasting Models to cross-verify your projections.Everest Related Hype Analysis
Having access to credible news sources related to Everest's direct competition is more important than ever and may enhance your ability to predict Everest's future price movements. Getting to know how Everest'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 Everest may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
BNT | Brookfield Wealth Solutions | (0.41) | 17 per month | 1.34 | 0.13 | 2.83 | (1.88) | 9.53 | |
RGA | Reinsurance Group of | (3.10) | 10 per month | 1.26 | 0.02 | 2.26 | (1.93) | 10.03 | |
RNR | Renaissancere Holdings | (0.30) | 9 per month | 1.96 | 0.02 | 2.90 | (1.54) | 12.15 | |
GLRE | Greenlight Capital Re | 0.23 | 8 per month | 1.30 | 0.03 | 3.28 | (2.51) | 12.12 | |
SPNT-PB | SiriusPoint | 0.00 | 0 per month | 0.13 | (0.39) | 0.44 | (0.36) | 1.27 | |
OXBRW | Oxbridge Re Holdings | (0.02) | 2 per month | 7.50 | 0.09 | 23.08 | (16.67) | 56.35 | |
MHLD | Maiden Holdings | (0.14) | 2 per month | 3.26 | (0.03) | 7.06 | (4.94) | 21.08 | |
AHL-PD | Aspen Insurance Holdings | 0.00 | 0 per month | 1.05 | (0.05) | 2.49 | (1.90) | 4.81 |
Everest Additional Predictive Modules
Most predictive techniques to examine Everest price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Everest using various technical indicators. When you analyze Everest 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 Everest Predictive Indicators
The successful prediction of Everest 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 Everest Group, 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 Everest based on analysis of Everest hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Everest's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Everest's related companies. 2020 | 2022 | 2023 (projected) | Dividend Yield | 0.0268 | 0.0197 | 0.0193 | Price To Sales Ratio | 0.98 | 1.08 | 1.02 |
Story Coverage note for Everest
The number of cover stories for Everest depends on current market conditions and Everest's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Everest 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 Everest'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
Everest Short Properties
Everest's future price predictability will typically decrease when Everest's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Everest Group often depends not only on the future outlook of the potential Everest'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. Everest's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 41.3 M | |
Cash And Short Term Investments | 1.4 B |
Complementary Tools for Everest Stock analysis
When running Everest's price analysis, check to measure Everest'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 Everest is operating at the current time. Most of Everest's value examination focuses on studying past and present price action to predict the probability of Everest's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Everest's price. Additionally, you may evaluate how the addition of Everest to your portfolios can decrease your overall portfolio volatility.
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio |