Wisdomtree Trust Etf Market Value
| WTAI Etf | USD 22.09 0.11 0.50% |
| Symbol | WisdomTree |
The market value of WisdomTree Trust 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 Trust's value that differs from its market value or its book value, called intrinsic value, which is WisdomTree Trust'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 Trust's market value can be influenced by many factors that don't directly affect WisdomTree Trust'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 Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if WisdomTree Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WisdomTree Trust'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 Trust '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 Trust'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 Trust.
| 08/28/2024 |
| 11/26/2024 |
If you would invest 0.00 in WisdomTree Trust on August 28, 2024 and sell it all today you would earn a total of 0.00 from holding WisdomTree Trust or generate 0.0% return on investment in WisdomTree Trust over 90 days. WisdomTree Trust is related to or competes with Invesco DWA, Invesco Dynamic, Invesco Dynamic, HUMANA, Barloworld, Morningstar Unconstrained, and High-yield Municipal. The index is designed to provide exposure to equity securities of exchange-listed companies globally, including develope... More
WisdomTree Trust 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 Trust'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 Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.58 | |||
| Information Ratio | 0.0372 | |||
| Maximum Drawdown | 6.9 | |||
| Value At Risk | (2.11) | |||
| Potential Upside | 2.3 |
WisdomTree Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WisdomTree Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WisdomTree Trust's standard deviation. In reality, there are many statistical measures that can use WisdomTree Trust historical prices to predict the future WisdomTree Trust's volatility.| Risk Adjusted Performance | 0.1021 | |||
| Jensen Alpha | 0.0089 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0343 | |||
| Treynor Ratio | 0.1273 |
WisdomTree Trust Backtested Returns
WisdomTree Trust appears to be very steady, given 3 months investment horizon. WisdomTree Trust shows Sharpe Ratio of 0.15, which attests that the etf had a 0.15% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for WisdomTree Trust, which you can use to evaluate the volatility of the etf. Please utilize WisdomTree Trust's Downside Deviation of 1.58, market risk adjusted performance of 0.1373, and Mean Deviation of 1.08 to validate if our risk estimates are consistent with your expectations. The entity maintains a market beta of 1.38, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, WisdomTree Trust will likely underperform.
Auto-correlation | 0.74 |
Good predictability
WisdomTree Trust has good predictability. Overlapping area represents the amount of predictability between WisdomTree Trust time series from 28th of August 2024 to 12th of October 2024 and 12th of October 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 WisdomTree Trust price movement. The serial correlation of 0.74 indicates that around 74.0% of current WisdomTree Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.35 |
WisdomTree Trust lagged returns against current returns
Autocorrelation, which is WisdomTree Trust 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 Trust's etf expected returns. We can calculate the autocorrelation of WisdomTree Trust returns to help us make a trade decision. For example, suppose you find that WisdomTree Trust 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 Trust 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 Trust etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WisdomTree Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WisdomTree Trust etf over time.
Current vs Lagged Prices |
| Timeline |
WisdomTree Trust Lagged Returns
When evaluating WisdomTree Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WisdomTree Trust etf have on its future price. WisdomTree Trust 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 Trust autocorrelation shows the relationship between WisdomTree Trust etf current value and its past values and can show if there is a momentum factor associated with investing in WisdomTree Trust .
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether WisdomTree Trust is a strong investment it is important to analyze WisdomTree Trust's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact WisdomTree Trust's future performance. For an informed investment choice regarding WisdomTree Etf, refer to the following important reports:Check out WisdomTree Trust Correlation, WisdomTree Trust Volatility and WisdomTree Trust Alpha and Beta module to complement your research on WisdomTree Trust. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
WisdomTree Trust 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.