Wisdomtree Bloomberg Dollar Etf Market Value
USDU Etf | USD 26.97 0.02 0.07% |
Symbol | WisdomTree |
The market value of WisdomTree Bloomberg is measured differently than its book value, which is the value of WisdomTree that is recorded on the company's balance sheet. Investors also form their own opinion of WisdomTree Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is WisdomTree Bloomberg'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 WisdomTree Bloomberg's market value can be influenced by many factors that don't directly affect WisdomTree Bloomberg'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 WisdomTree Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if WisdomTree Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WisdomTree Bloomberg'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.
WisdomTree Bloomberg '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 WisdomTree Bloomberg'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 WisdomTree Bloomberg.
12/14/2024 |
| 03/14/2025 |
If you would invest 0.00 in WisdomTree Bloomberg on December 14, 2024 and sell it all today you would earn a total of 0.00 from holding WisdomTree Bloomberg Dollar or generate 0.0% return on investment in WisdomTree Bloomberg over 90 days. WisdomTree Bloomberg is related to or competes with Invesco DB, WisdomTree Emerging, Invesco DB, and ProShares Ultra. The fund is an actively managed ETF that seeks to provide total returns, before fees and expenses, that exceed the perfo... More
WisdomTree Bloomberg 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 WisdomTree Bloomberg'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 WisdomTree Bloomberg Dollar upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.5091 | |||
Information Ratio | 0.2934 | |||
Maximum Drawdown | 2.05 | |||
Value At Risk | (0.76) | |||
Potential Upside | 0.5785 |
WisdomTree Bloomberg Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WisdomTree Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WisdomTree Bloomberg's standard deviation. In reality, there are many statistical measures that can use WisdomTree Bloomberg historical prices to predict the future WisdomTree Bloomberg's volatility.Risk Adjusted Performance | (0.01) | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | 0.0527 | |||
Sortino Ratio | 0.232 | |||
Treynor Ratio | 0.1293 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WisdomTree Bloomberg'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.
WisdomTree Bloomberg Backtested Returns
WisdomTree Bloomberg shows Sharpe Ratio of -0.0263, which attests that the etf had a -0.0263 % return per unit of risk over the last 3 months. WisdomTree Bloomberg exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out WisdomTree Bloomberg's Market Risk Adjusted Performance of 0.1393, mean deviation of 0.3111, and Downside Deviation of 0.5091 to validate the risk estimate we provide. The entity maintains a market beta of -0.0668, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning WisdomTree Bloomberg are expected to decrease at a much lower rate. During the bear market, WisdomTree Bloomberg is likely to outperform the market.
Auto-correlation | -0.16 |
Insignificant reverse predictability
WisdomTree Bloomberg Dollar has insignificant reverse predictability. Overlapping area represents the amount of predictability between WisdomTree Bloomberg time series from 14th of December 2024 to 28th of January 2025 and 28th of January 2025 to 14th 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 WisdomTree Bloomberg price movement. The serial correlation of -0.16 indicates that over 16.0% of current WisdomTree Bloomberg price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.16 | |
Spearman Rank Test | -0.37 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
WisdomTree Bloomberg lagged returns against current returns
Autocorrelation, which is WisdomTree Bloomberg 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 WisdomTree Bloomberg's etf expected returns. We can calculate the autocorrelation of WisdomTree Bloomberg returns to help us make a trade decision. For example, suppose you find that WisdomTree Bloomberg 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 |
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WisdomTree Bloomberg 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 WisdomTree Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WisdomTree Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WisdomTree Bloomberg etf over time.
Current vs Lagged Prices |
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WisdomTree Bloomberg Lagged Returns
When evaluating WisdomTree Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WisdomTree Bloomberg etf have on its future price. WisdomTree Bloomberg 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, WisdomTree Bloomberg autocorrelation shows the relationship between WisdomTree Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in WisdomTree Bloomberg Dollar.
Regressed Prices |
Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out WisdomTree Bloomberg Correlation, WisdomTree Bloomberg Volatility and WisdomTree Bloomberg Alpha and Beta module to complement your research on WisdomTree Bloomberg. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
WisdomTree Bloomberg 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.