Viper Energy Ut Stock Market Value
| VNOM Stock | USD 49.71 0.30 0.60% |
| Symbol | Viper |
Viper Energy Ut Price To Book Ratio
Is Oil & Gas Exploration & Production 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 Viper Energy. If investors know Viper 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 Viper Energy 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 (0.53) | Dividend Share 1.14 | Earnings Share 2.34 | Revenue Per Share | Quarterly Revenue Growth (0.32) |
The market value of Viper Energy Ut is measured differently than its book value, which is the value of Viper that is recorded on the company's balance sheet. Investors also form their own opinion of Viper Energy's value that differs from its market value or its book value, called intrinsic value, which is Viper 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 Viper Energy's market value can be influenced by many factors that don't directly affect Viper 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 Viper Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Viper Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Viper 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.
Viper 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 Viper 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 Viper Energy.
| 01/08/2025 |
| 02/07/2025 |
If you would invest 0.00 in Viper Energy on January 8, 2025 and sell it all today you would earn a total of 0.00 from holding Viper Energy Ut or generate 0.0% return on investment in Viper Energy over 30 days. Viper Energy is related to or competes with Western Midstream, DT Midstream, MPLX LP, BP Prudhoe, FLEX LNG, Hess Midstream, and EnLink Midstream. Viper Energy Partners LP owns, acquires, and exploits oil and natural gas properties in North America More
Viper 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 Viper 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 Viper Energy Ut upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 9.57 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 2.69 |
Viper Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Viper Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Viper Energy's standard deviation. In reality, there are many statistical measures that can use Viper Energy historical prices to predict the future Viper Energy's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (0.14) |
Viper Energy Ut Backtested Returns
Viper Energy Ut owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0565, which indicates the firm had a -0.0565 % return per unit of risk over the last 3 months. Viper Energy Ut exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Viper Energy's Risk Adjusted Performance of (0.01), coefficient of variation of (5,468), and Variance of 3.12 to confirm the risk estimate we provide. The entity has a beta of 0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Viper Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Viper Energy is expected to be smaller as well. At this point, Viper Energy Ut has a negative expected return of -0.0962%. Please make sure to validate Viper Energy's total risk alpha, accumulation distribution, as well as the relationship between the Accumulation Distribution and period momentum indicator , to decide if Viper Energy Ut performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.86 |
Excellent reverse predictability
Viper Energy Ut has excellent reverse predictability. Overlapping area represents the amount of predictability between Viper Energy time series from 8th of January 2025 to 23rd of January 2025 and 23rd of January 2025 to 7th of February 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 Viper Energy Ut price movement. The serial correlation of -0.86 indicates that approximately 86.0% of current Viper Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.86 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 1.3 |
Viper Energy Ut lagged returns against current returns
Autocorrelation, which is Viper 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 Viper Energy's stock expected returns. We can calculate the autocorrelation of Viper Energy returns to help us make a trade decision. For example, suppose you find that Viper 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 |
Viper 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 Viper Energy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Viper Energy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Viper Energy stock over time.
Current vs Lagged Prices |
| Timeline |
Viper Energy Lagged Returns
When evaluating Viper Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Viper Energy stock have on its future price. Viper 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, Viper Energy autocorrelation shows the relationship between Viper Energy stock current value and its past values and can show if there is a momentum factor associated with investing in Viper Energy Ut.
Regressed Prices |
| Timeline |
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Viper 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.