Great Elm Group Stock Market Value
| GEGGL Stock | USD 24.21 0.05 0.21% |
| Symbol | Great |
Great Elm Group Price To Book Ratio
Is Asset Management & Custody Banks 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 Great Elm. If investors know Great 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 Great Elm listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Great Elm Group is measured differently than its book value, which is the value of Great that is recorded on the company's balance sheet. Investors also form their own opinion of Great Elm's value that differs from its market value or its book value, called intrinsic value, which is Great Elm'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 Great Elm's market value can be influenced by many factors that don't directly affect Great Elm'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 Great Elm's value and its price as these two are different measures arrived at by different means. Investors typically determine if Great Elm is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Great Elm'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.
Great Elm '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 Great Elm'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 Great Elm.
| 12/23/2022 |
| 12/12/2024 |
If you would invest 0.00 in Great Elm on December 23, 2022 and sell it all today you would earn a total of 0.00 from holding Great Elm Group or generate 0.0% return on investment in Great Elm over 720 days. Great Elm is related to or competes with Atlanticus Holdings, Great Elm, Morningstar Unconstrained, Thrivent High, Via Renewables, T Rowe, and 70082LAB3. Great Elm is entity of United States. It is traded as Stock on NASDAQ exchange. More
Great Elm 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 Great Elm'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 Great Elm Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.18 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 5.96 | |||
| Value At Risk | (1.80) | |||
| Potential Upside | 2.09 |
Great Elm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Great Elm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Great Elm's standard deviation. In reality, there are many statistical measures that can use Great Elm historical prices to predict the future Great Elm's volatility.| Risk Adjusted Performance | 0.0655 | |||
| Jensen Alpha | 0.0591 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.398 |
Great Elm Group Backtested Returns
As of now, Great Stock is very steady. Great Elm Group holds Efficiency (Sharpe) Ratio of 0.0524, which attests that the entity had a 0.0524% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Great Elm Group, which you can use to evaluate the volatility of the firm. Please check out Great Elm's Market Risk Adjusted Performance of 0.408, risk adjusted performance of 0.0655, and Downside Deviation of 1.18 to validate if the risk estimate we provide is consistent with the expected return of 0.0563%. Great Elm has a performance score of 4 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.21, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Great Elm's returns are expected to increase less than the market. However, during the bear market, the loss of holding Great Elm is expected to be smaller as well. Great Elm Group right now retains a risk of 1.07%. Please check out Great Elm information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to decide if Great Elm will be following its current trending patterns.
Auto-correlation | 0.79 |
Good predictability
Great Elm Group has good predictability. Overlapping area represents the amount of predictability between Great Elm time series from 23rd of December 2022 to 18th of December 2023 and 18th of December 2023 to 12th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Great Elm Group price movement. The serial correlation of 0.79 indicates that around 79.0% of current Great Elm price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 1.92 |
Great Elm Group lagged returns against current returns
Autocorrelation, which is Great Elm 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 Great Elm's stock expected returns. We can calculate the autocorrelation of Great Elm returns to help us make a trade decision. For example, suppose you find that Great Elm 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 |
Great Elm 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 Great Elm stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Great Elm stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Great Elm stock over time.
Current vs Lagged Prices |
| Timeline |
Great Elm Lagged Returns
When evaluating Great Elm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Great Elm stock have on its future price. Great Elm 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, Great Elm autocorrelation shows the relationship between Great Elm stock current value and its past values and can show if there is a momentum factor associated with investing in Great Elm Group.
Regressed Prices |
| Timeline |
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Great Elm 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.