Uscf Midstream Energy Etf Market Value
| UMI Etf | USD 53.68 0.07 0.13% |
| Symbol | USCF |
The market value of USCF Midstream Energy is measured differently than its book value, which is the value of USCF that is recorded on the company's balance sheet. Investors also form their own opinion of USCF Midstream's value that differs from its market value or its book value, called intrinsic value, which is USCF Midstream'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 USCF Midstream's market value can be influenced by many factors that don't directly affect USCF Midstream'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 USCF Midstream's value and its price as these two are different measures arrived at by different means. Investors typically determine if USCF Midstream is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, USCF Midstream'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.
USCF Midstream '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 USCF Midstream's 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 USCF Midstream.
| 12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in USCF Midstream on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding USCF Midstream Energy or generate 0.0% return on investment in USCF Midstream over 720 days. USCF Midstream is related to or competes with EA Series, ETF Opportunities, Global X, Indie Semiconductor, and Tortoise North. The fund will seek to achieve its investment objectives by investing, under normal market conditions, at least 80 percen... More
USCF Midstream 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 USCF Midstream's 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 USCF Midstream Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.69 | |||
| Information Ratio | 0.2289 | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (0.97) | |||
| Potential Upside | 1.42 |
USCF Midstream Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for USCF Midstream's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as USCF Midstream's standard deviation. In reality, there are many statistical measures that can use USCF Midstream historical prices to predict the future USCF Midstream's volatility.| Risk Adjusted Performance | 0.2943 | |||
| Jensen Alpha | 0.2531 | |||
| Total Risk Alpha | 0.1816 | |||
| Sortino Ratio | 0.2827 | |||
| Treynor Ratio | 0.6082 |
USCF Midstream Energy Backtested Returns
USCF Midstream appears to be very steady, given 3 months investment horizon. USCF Midstream Energy retains Efficiency (Sharpe Ratio) of 0.36, which indicates the etf had a 0.36% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for USCF Midstream, which you can use to evaluate the volatility of the etf. Please review USCF Midstream's coefficient of variation of 261.52, and Risk Adjusted Performance of 0.2943 to confirm if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 0.52, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, USCF Midstream's returns are expected to increase less than the market. However, during the bear market, the loss of holding USCF Midstream is expected to be smaller as well.
Auto-correlation | 0.77 |
Good predictability
USCF Midstream Energy has good predictability. Overlapping area represents the amount of predictability between USCF Midstream time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 to 23rd 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 USCF Midstream Energy price movement. The serial correlation of 0.77 indicates that around 77.0% of current USCF Midstream price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 19.25 |
USCF Midstream Energy lagged returns against current returns
Autocorrelation, which is USCF Midstream 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 USCF Midstream's etf expected returns. We can calculate the autocorrelation of USCF Midstream returns to help us make a trade decision. For example, suppose you find that USCF Midstream 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 |
USCF Midstream 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 USCF Midstream etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if USCF Midstream etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in USCF Midstream etf over time.
Current vs Lagged Prices |
| Timeline |
USCF Midstream Lagged Returns
When evaluating USCF Midstream's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of USCF Midstream etf have on its future price. USCF Midstream 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, USCF Midstream autocorrelation shows the relationship between USCF Midstream etf current value and its past values and can show if there is a momentum factor associated with investing in USCF Midstream Energy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether USCF Midstream Energy offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of USCF Midstream'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 Uscf Midstream Energy Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Uscf Midstream Energy Etf:Check out USCF Midstream Correlation, USCF Midstream Volatility and USCF Midstream Alpha and Beta module to complement your research on USCF Midstream. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
USCF Midstream 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.