Expand Energy Stock Market Value
| EXE Stock | 102.60 1.42 1.40% |
| Symbol | Expand |
Expand Energy Price To Book Ratio
Is Petroleum and Natural Gas 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 Expand Energy. If investors know Expand 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 Expand Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Dividend Share 2.44 | Earnings Share 1.63 | Revenue Per Share | Quarterly Revenue Growth (0.57) | Return On Assets |
The market value of Expand Energy is measured differently than its book value, which is the value of Expand that is recorded on the company's balance sheet. Investors also form their own opinion of Expand Energy's value that differs from its market value or its book value, called intrinsic value, which is Expand Energy'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 Expand Energy's market value can be influenced by many factors that don't directly affect Expand Energy'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 Expand Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Expand Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Expand Energy'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.
Expand Energy '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 Expand Energy'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 Expand Energy.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Expand Energy on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Expand Energy or generate 0.0% return on investment in Expand Energy over 90 days. Expand Energy is related to or competes with Uber Technologies, NetSol Technologies, Sapiens International, Titan Machinery, Sprinklr, Tradeweb Markets, and Cosan SA. Crexendo, Inc., a hosted services company, offer Website hosting, hosted telecommunications services, ecommerce software, Website development software, and broadband Internet services for businesses and entrepreneurs in North America and internationally. More
Expand Energy 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 Expand Energy'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 Expand Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.01 | |||
| Information Ratio | 0.1307 | |||
| Maximum Drawdown | 8.66 | |||
| Value At Risk | (2.33) | |||
| Potential Upside | 2.41 |
Expand Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Expand Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Expand Energy's standard deviation. In reality, there are many statistical measures that can use Expand Energy historical prices to predict the future Expand Energy's volatility.| Risk Adjusted Performance | 0.0655 | |||
| Jensen Alpha | 0.1158 | |||
| Total Risk Alpha | 0.3079 | |||
| Sortino Ratio | 0.1059 | |||
| Treynor Ratio | 0.9456 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Expand Energy'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.
Expand Energy Backtested Returns
At this point, Expand Energy is very steady. Expand Energy secures Sharpe Ratio (or Efficiency) of 0.0733, which denotes the company had a 0.0733 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Expand Energy, which you can use to evaluate the volatility of the firm. Please confirm Expand Energy's Downside Deviation of 2.01, mean deviation of 1.19, and Coefficient Of Variation of 1431.23 to check if the risk estimate we provide is consistent with the expected return of 0.12%. Expand Energy has a performance score of 5 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.11, which means not very significant fluctuations relative to the market. As returns on the market increase, Expand Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Expand Energy is expected to be smaller as well. Expand Energy right now shows a risk of 1.64%. Please confirm Expand Energy treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to decide if Expand Energy will be following its price patterns.
Auto-correlation | -0.59 |
Good reverse predictability
Expand Energy has good reverse predictability. Overlapping area represents the amount of predictability between Expand Energy time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Expand Energy price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current Expand Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 8.5 |
Expand Energy lagged returns against current returns
Autocorrelation, which is Expand Energy 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 Expand Energy's stock expected returns. We can calculate the autocorrelation of Expand Energy returns to help us make a trade decision. For example, suppose you find that Expand Energy 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 |
Expand Energy 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 Expand Energy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Expand Energy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Expand Energy stock over time.
Current vs Lagged Prices |
| Timeline |
Expand Energy Lagged Returns
When evaluating Expand Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Expand Energy stock have on its future price. Expand Energy 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, Expand Energy autocorrelation shows the relationship between Expand Energy stock current value and its past values and can show if there is a momentum factor associated with investing in Expand Energy.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Expand Energy offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Expand Energy's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Expand Energy Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Expand Energy Stock:Check out Expand Energy Correlation, Expand Energy Volatility and Expand Energy Alpha and Beta module to complement your research on Expand Energy. For information on how to trade Expand Stock refer to our How to Trade Expand Stock guide.You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Expand Energy 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.