Us Treasury 30 Etf Market Value
| UTHY Etf | 42.88 0.26 0.60% |
| Symbol | UTHY |
The market value of US Treasury 30 is measured differently than its book value, which is the value of UTHY that is recorded on the company's balance sheet. Investors also form their own opinion of US Treasury's value that differs from its market value or its book value, called intrinsic value, which is US Treasury'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 US Treasury's market value can be influenced by many factors that don't directly affect US Treasury'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 US Treasury's value and its price as these two are different measures arrived at by different means. Investors typically determine if US Treasury is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, US Treasury'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.
US Treasury '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 US Treasury'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 US Treasury.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in US Treasury on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding US Treasury 30 or generate 0.0% return on investment in US Treasury over 90 days. US Treasury is related to or competes with US Treasury, US Treasury, US Treasury, Rbb Fund, and US Treasury. US Treasury is entity of United States. It is traded as Etf on NASDAQ exchange. More
US Treasury 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 US Treasury'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 US Treasury 30 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.059 | |||
| Maximum Drawdown | 3.01 | |||
| Value At Risk | (1.14) | |||
| Potential Upside | 1.57 |
US Treasury Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for US Treasury's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as US Treasury's standard deviation. In reality, there are many statistical measures that can use US Treasury historical prices to predict the future US Treasury's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | 0.0377 | |||
| Treynor Ratio | (0.95) |
US Treasury 30 Backtested Returns
At this stage we consider UTHY Etf to be very steady. US Treasury 30 retains Efficiency (Sharpe Ratio) of 0.0113, which indicates the etf had a 0.0113 % return per unit of price deviation over the last 3 months. We have found twenty-four technical indicators for US Treasury, which you can use to evaluate the volatility of the etf. Please validate US Treasury's Risk Adjusted Performance of (0.06), mean deviation of 0.6491, and Standard Deviation of 0.7965 to confirm if the risk estimate we provide is consistent with the expected return of 0.0089%. The entity owns a Beta (Systematic Risk) of 0.0652, which indicates not very significant fluctuations relative to the market. As returns on the market increase, US Treasury's returns are expected to increase less than the market. However, during the bear market, the loss of holding US Treasury is expected to be smaller as well.
Auto-correlation | -0.35 |
Poor reverse predictability
US Treasury 30 has poor reverse predictability. Overlapping area represents the amount of predictability between US Treasury time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 US Treasury 30 price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current US Treasury price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.51 |
US Treasury 30 lagged returns against current returns
Autocorrelation, which is US Treasury 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 US Treasury's etf expected returns. We can calculate the autocorrelation of US Treasury returns to help us make a trade decision. For example, suppose you find that US Treasury 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 |
US Treasury 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 US Treasury etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if US Treasury etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in US Treasury etf over time.
Current vs Lagged Prices |
| Timeline |
US Treasury Lagged Returns
When evaluating US Treasury's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of US Treasury etf have on its future price. US Treasury 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, US Treasury autocorrelation shows the relationship between US Treasury etf current value and its past values and can show if there is a momentum factor associated with investing in US Treasury 30.
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 US Treasury 30 offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of US Treasury'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 Us Treasury 30 Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Us Treasury 30 Etf:Check out US Treasury Correlation, US Treasury Volatility and US Treasury Alpha and Beta module to complement your research on US Treasury. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
US Treasury 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.