Wisdomtree Multifactor Etf Market Value
| USMF Etf | USD 52.07 0.16 0.31% |
| Symbol | WisdomTree |
The market value of WisdomTree Multifactor 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 Multifactor's value that differs from its market value or its book value, called intrinsic value, which is WisdomTree Multifactor'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 Multifactor's market value can be influenced by many factors that don't directly affect WisdomTree Multifactor'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 Multifactor's value and its price as these two are different measures arrived at by different means. Investors typically determine if WisdomTree Multifactor is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WisdomTree Multifactor'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 Multifactor '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 Multifactor'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 Multifactor.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in WisdomTree Multifactor on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding WisdomTree Multifactor or generate 0.0% return on investment in WisdomTree Multifactor over 30 days. WisdomTree Multifactor is related to or competes with IShares MSCI, IShares MSCI, IShares Currency, Nuveen ESG, JPMorgan Diversified, IShares MSCI, and FlexShares Global. Under normal circumstances, at least 80 percent of the funds total assets will be invested in component securities of th... More
WisdomTree Multifactor 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 Multifactor'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 Multifactor upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.72 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 2.58 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 0.9494 |
WisdomTree Multifactor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WisdomTree Multifactor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WisdomTree Multifactor's standard deviation. In reality, there are many statistical measures that can use WisdomTree Multifactor historical prices to predict the future WisdomTree Multifactor's volatility.| Risk Adjusted Performance | 9.0E-4 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | (0.01) |
WisdomTree Multifactor Backtested Returns
WisdomTree Multifactor shows Sharpe Ratio of close to zero, which attests that the etf had a close to zero % return per unit of risk over the last 3 months. WisdomTree Multifactor exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out WisdomTree Multifactor's insignificant Market Risk Adjusted Performance, mean deviation of 0.5066, and Downside Deviation of 0.72 to validate the risk estimate we provide. The entity maintains a market beta of 0.72, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, WisdomTree Multifactor's returns are expected to increase less than the market. However, during the bear market, the loss of holding WisdomTree Multifactor is expected to be smaller as well.
Auto-correlation | 0.38 |
Below average predictability
WisdomTree Multifactor has below average predictability. Overlapping area represents the amount of predictability between WisdomTree Multifactor time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 Multifactor price movement. The serial correlation of 0.38 indicates that just about 38.0% of current WisdomTree Multifactor price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
WisdomTree Multifactor lagged returns against current returns
Autocorrelation, which is WisdomTree Multifactor 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 Multifactor's etf expected returns. We can calculate the autocorrelation of WisdomTree Multifactor returns to help us make a trade decision. For example, suppose you find that WisdomTree Multifactor 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 |
WisdomTree Multifactor 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 Multifactor etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WisdomTree Multifactor etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WisdomTree Multifactor etf over time.
Current vs Lagged Prices |
| Timeline |
WisdomTree Multifactor Lagged Returns
When evaluating WisdomTree Multifactor's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WisdomTree Multifactor etf have on its future price. WisdomTree Multifactor 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 Multifactor autocorrelation shows the relationship between WisdomTree Multifactor etf current value and its past values and can show if there is a momentum factor associated with investing in WisdomTree Multifactor.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
| DD | Dupont De Nemours | |
| CRDO | Credo Technology Group | |
| GOOG | Alphabet Inc Class C | |
| BAC | Bank of America | |
| CRM | Salesforce |
Check out WisdomTree Multifactor Correlation, WisdomTree Multifactor Volatility and WisdomTree Multifactor Alpha and Beta module to complement your research on WisdomTree Multifactor. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
WisdomTree Multifactor 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.