United States Natural Etf Market Value
| UNG Etf | USD 14.43 0.62 4.49% |
| Symbol | United |
The market value of United States Natural is measured differently than its book value, which is the value of United that is recorded on the company's balance sheet. Investors also form their own opinion of United States' value that differs from its market value or its book value, called intrinsic value, which is United States' 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 United States' market value can be influenced by many factors that don't directly affect United States' 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 United States' value and its price as these two are different measures arrived at by different means. Investors typically determine if United States is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, United States' 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.
United States '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 United States' etf 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 United States.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in United States on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding United States Natural or generate 0.0% return on investment in United States over 180 days. United States is related to or competes with United States, ProShares Ultra, Invesco DB, VanEck Gold, and IShares Silver. The fund invests primarily in futures contracts for natural gas that are traded on the NYMEX, ICE Futures Europe and ICE... More
United States 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 United States' etf 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 United States Natural upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.81 | |||
| Information Ratio | 0.0022 | |||
| Maximum Drawdown | 16.94 | |||
| Value At Risk | (5.87) | |||
| Potential Upside | 5.35 |
United States Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for United States' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as United States' standard deviation. In reality, there are many statistical measures that can use United States historical prices to predict the future United States' volatility.| Risk Adjusted Performance | 0.039 | |||
| Jensen Alpha | 0.1529 | |||
| Total Risk Alpha | (0.46) | |||
| Sortino Ratio | 0.0021 | |||
| Treynor Ratio | (0.99) |
United States Natural Backtested Returns
At this point, United States is somewhat reliable. United States Natural owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0346, which indicates the etf had a 0.0346% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for United States Natural, which you can use to evaluate the volatility of the etf. Please validate United States' Semi Deviation of 3.66, risk adjusted performance of 0.039, and Coefficient Of Variation of 2458.99 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. The entity has a beta of -0.14, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning United States are expected to decrease at a much lower rate. During the bear market, United States is likely to outperform the market.
Auto-correlation | 0.39 |
Below average predictability
United States Natural has below average predictability. Overlapping area represents the amount of predictability between United States time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th of November 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 United States Natural price movement. The serial correlation of 0.39 indicates that just about 39.0% of current United States price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 1.17 |
United States Natural lagged returns against current returns
Autocorrelation, which is United States etf'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 United States' etf expected returns. We can calculate the autocorrelation of United States returns to help us make a trade decision. For example, suppose you find that United States has exhibited high autocorrelation historically, and you observe that the etf 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 |
United States 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 United States etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if United States etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in United States etf over time.
Current vs Lagged Prices |
| Timeline |
United States Lagged Returns
When evaluating United States' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of United States etf have on its future price. United States 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, United States autocorrelation shows the relationship between United States etf current value and its past values and can show if there is a momentum factor associated with investing in United States Natural.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether United States Natural is a strong investment it is important to analyze United States' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact United States' future performance. For an informed investment choice regarding United Etf, refer to the following important reports:Check out United States Correlation, United States Volatility and United States Alpha and Beta module to complement your research on United States. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
United States technical etf 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, etf market cycles, or different charting patterns.