Wisdomtree Smallcap Dividend Etf Market Value
| DES Etf | USD 37.26 0.64 1.75% |
| Symbol | WisdomTree |
The market value of WisdomTree SmallCap 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 SmallCap's value that differs from its market value or its book value, called intrinsic value, which is WisdomTree SmallCap'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 SmallCap's market value can be influenced by many factors that don't directly affect WisdomTree SmallCap'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 SmallCap's value and its price as these two are different measures arrived at by different means. Investors typically determine if WisdomTree SmallCap is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WisdomTree SmallCap'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 SmallCap '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 SmallCap'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 SmallCap.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in WisdomTree SmallCap on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding WisdomTree SmallCap Dividend or generate 0.0% return on investment in WisdomTree SmallCap over 30 days. WisdomTree SmallCap is related to or competes with Invesco SP, and Invesco SP. Under normal circumstances, at least 95 percent of the funds total assets will be invested in component securities of th... More
WisdomTree SmallCap 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 SmallCap'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 SmallCap Dividend upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8875 | |||
| Information Ratio | 0.0511 | |||
| Maximum Drawdown | 7.97 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 2.22 |
WisdomTree SmallCap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WisdomTree SmallCap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WisdomTree SmallCap's standard deviation. In reality, there are many statistical measures that can use WisdomTree SmallCap historical prices to predict the future WisdomTree SmallCap's volatility.| Risk Adjusted Performance | 0.119 | |||
| Jensen Alpha | 0.0142 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0765 | |||
| Treynor Ratio | 0.1306 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WisdomTree SmallCap'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 SmallCap Backtested Returns
Currently, WisdomTree SmallCap Dividend is very steady. WisdomTree SmallCap shows Sharpe Ratio of 0.12, which attests that the etf had a 0.12% return per unit of risk over the last 3 months. We have found thirty technical indicators for WisdomTree SmallCap, which you can use to evaluate the volatility of the etf. Please check out WisdomTree SmallCap's Market Risk Adjusted Performance of 0.1406, downside deviation of 0.8875, and Mean Deviation of 0.9024 to validate if the risk estimate we provide is consistent with the expected return of 0.16%. The entity maintains a market beta of 1.44, 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 SmallCap will likely underperform.
Auto-correlation | 0.49 |
Average predictability
WisdomTree SmallCap Dividend has average predictability. Overlapping area represents the amount of predictability between WisdomTree SmallCap time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 SmallCap price movement. The serial correlation of 0.49 indicates that about 49.0% of current WisdomTree SmallCap price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
WisdomTree SmallCap lagged returns against current returns
Autocorrelation, which is WisdomTree SmallCap 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 SmallCap's etf expected returns. We can calculate the autocorrelation of WisdomTree SmallCap returns to help us make a trade decision. For example, suppose you find that WisdomTree SmallCap 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 SmallCap 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 SmallCap etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WisdomTree SmallCap etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WisdomTree SmallCap etf over time.
Current vs Lagged Prices |
| Timeline |
WisdomTree SmallCap Lagged Returns
When evaluating WisdomTree SmallCap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WisdomTree SmallCap etf have on its future price. WisdomTree SmallCap 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 SmallCap autocorrelation shows the relationship between WisdomTree SmallCap etf current value and its past values and can show if there is a momentum factor associated with investing in WisdomTree SmallCap Dividend.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out WisdomTree SmallCap Correlation, WisdomTree SmallCap Volatility and WisdomTree SmallCap Alpha and Beta module to complement your research on WisdomTree SmallCap. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
WisdomTree SmallCap 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.