Us Treasury 7 Etf Market Value
| USVN Etf | 47.81 0.40 0.84% |
| Symbol | USVN |
The market value of US Treasury 7 is measured differently than its book value, which is the value of USVN 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.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in US Treasury on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding US Treasury 7 or generate 0.0% return on investment in US Treasury over 30 days. US Treasury is related to or competes with US Treasury, US Treasury, US Treasury, US Treasury, 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 7 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.54) | |||
| Maximum Drawdown | 1.51 | |||
| Value At Risk | (0.53) | |||
| Potential Upside | 0.4638 |
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 | (0.11) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.1) | |||
| Treynor Ratio | 0.4858 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of US Treasury'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.
US Treasury 7 Backtested Returns
US Treasury 7 retains Efficiency (Sharpe Ratio) of -0.0936, which indicates the etf had a -0.0936% return per unit of price deviation over the last 3 months. US Treasury exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate US Treasury's Risk Adjusted Performance of (0.11), mean deviation of 0.2366, and Standard Deviation of 0.3144 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of -0.1, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning US Treasury are expected to decrease at a much lower rate. During the bear market, US Treasury is likely to outperform the market.
Auto-correlation | -0.2 |
Insignificant reverse predictability
US Treasury 7 has insignificant reverse predictability. Overlapping area represents the amount of predictability between US Treasury time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 US Treasury 7 price movement. The serial correlation of -0.2 indicates that over 20.0% of current US Treasury price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
US Treasury 7 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 7.
Regressed Prices |
| Timeline |
Pair Trading with US Treasury
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if US Treasury position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in US Treasury will appreciate offsetting losses from the drop in the long position's value.Moving together with USVN Etf
| 1.0 | GOVT | iShares Treasury Bond | PairCorr |
| 0.99 | MBB | iShares MBS ETF | PairCorr |
| 1.0 | IEI | iShares 3 7 | PairCorr |
| 1.0 | SPTI | SPDR Portfolio Inter | PairCorr |
| 0.99 | SPMB | SPDR Portfolio Mortgage | PairCorr |
Moving against USVN Etf
| 0.92 | RSPY | Tuttle Capital Management | PairCorr |
| 0.9 | DSJA | DSJA | PairCorr |
| 0.9 | MEME | Roundhill Investments | PairCorr |
| 0.88 | MSTY | YieldMax MSTR Option | PairCorr |
| 0.79 | SPY | SPDR SP 500 Aggressive Push | PairCorr |
The ability to find closely correlated positions to US Treasury could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace US Treasury when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back US Treasury - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling US Treasury 7 to buy it.
The correlation of US Treasury is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as US Treasury moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if US Treasury 7 moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for US Treasury can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 CEOs Directory module to screen CEOs from public companies around the world.
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.