Everest Group Stock Market Value
| EG Stock | 352.09 0.58 0.17% |
| Symbol | Everest |
Everest Group Price To Book Ratio
Is Reinsurance space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Everest. If investors know Everest will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Everest listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.24) | Dividend Share 7.5 | Earnings Share 64.12 | Revenue Per Share | Quarterly Revenue Growth 0.128 |
The market value of Everest Group is measured differently than its book value, which is the value of Everest that is recorded on the company's balance sheet. Investors also form their own opinion of Everest's value that differs from its market value or its book value, called intrinsic value, which is Everest's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Everest's market value can be influenced by many factors that don't directly affect Everest's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Everest's value and its price as these two are different measures arrived at by different means. Investors typically determine if Everest is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Everest's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Everest 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Everest's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Everest.
| 11/01/2024 |
| 01/30/2025 |
If you would invest 0.00 in Everest on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Everest Group or generate 0.0% return on investment in Everest over 90 days. Everest is related to or competes with Hamilton Insurance, Brookfield Wealth, Reinsurance Group, Renaissancere Holdings, Greenlight Capital, SiriusPoint, and Oxbridge. Everest is entity of United States. It is traded as Stock on NYSE exchange. More
Everest Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Everest's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Everest Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 7.72 | |||
| Value At Risk | (1.93) | |||
| Potential Upside | 2.15 |
Everest Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Everest's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Everest's standard deviation. In reality, there are many statistical measures that can use Everest historical prices to predict the future Everest's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | (0.26) |
Everest Group Backtested Returns
At this point, Everest is very steady. Everest Group secures Sharpe Ratio (or Efficiency) of 0.0169, which denotes the company had a 0.0169 % return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Everest Group, which you can use to evaluate the volatility of the firm. Please confirm Everest's Mean Deviation of 1.11, standard deviation of 1.57, and Variance of 2.48 to check if the risk estimate we provide is consistent with the expected return of 0.0234%. Everest has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.52, which means possible diversification benefits within a given portfolio. As returns on the market increase, Everest's returns are expected to increase less than the market. However, during the bear market, the loss of holding Everest is expected to be smaller as well. Everest Group right now shows a risk of 1.38%. Please confirm Everest Group information ratio, skewness, day typical price, as well as the relationship between the treynor ratio and daily balance of power , to decide if Everest Group will be following its price patterns.
Auto-correlation | 0.23 |
Weak predictability
Everest Group has weak predictability. Overlapping area represents the amount of predictability between Everest time series from 1st of November 2024 to 16th of December 2024 and 16th of December 2024 to 30th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Everest Group price movement. The serial correlation of 0.23 indicates that over 23.0% of current Everest price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 36.33 |
Everest Group lagged returns against current returns
Autocorrelation, which is Everest stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Everest's stock expected returns. We can calculate the autocorrelation of Everest returns to help us make a trade decision. For example, suppose you find that Everest has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Everest regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Everest stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Everest stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Everest stock over time.
Current vs Lagged Prices |
| Timeline |
Everest Lagged Returns
When evaluating Everest's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Everest stock have on its future price. Everest autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Everest autocorrelation shows the relationship between Everest stock current value and its past values and can show if there is a momentum factor associated with investing in Everest Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Everest Correlation, Everest Volatility and Everest Alpha and Beta module to complement your research on Everest. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Everest technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.