Webs Defined Volatility Etf Market Value
| DVXE Etf | 30.67 0.37 1.22% |
| Symbol | WEBs |
The market value of WEBs Defined Volatility is measured differently than its book value, which is the value of WEBs that is recorded on the company's balance sheet. Investors also form their own opinion of WEBs Defined's value that differs from its market value or its book value, called intrinsic value, which is WEBs Defined'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 WEBs Defined's market value can be influenced by many factors that don't directly affect WEBs Defined'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 WEBs Defined's value and its price as these two are different measures arrived at by different means. Investors typically determine if WEBs Defined is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WEBs Defined'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.
WEBs Defined '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 WEBs Defined'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 WEBs Defined.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in WEBs Defined on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding WEBs Defined Volatility or generate 0.0% return on investment in WEBs Defined over 90 days. WEBs Defined is related to or competes with Invesco SP, IShares Texas, Virtus WMC, Invesco Real, Nuveen Dividend, First Trust, and Listed Funds. More
WEBs Defined 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 WEBs Defined'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 WEBs Defined Volatility upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.96 | |||
| Information Ratio | 0.0994 | |||
| Maximum Drawdown | 8.73 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 3.28 |
WEBs Defined Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WEBs Defined's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WEBs Defined's standard deviation. In reality, there are many statistical measures that can use WEBs Defined historical prices to predict the future WEBs Defined's volatility.| Risk Adjusted Performance | 0.1091 | |||
| Jensen Alpha | 0.2709 | |||
| Total Risk Alpha | 0.0797 | |||
| Sortino Ratio | 0.0994 | |||
| Treynor Ratio | (2.80) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WEBs Defined'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.
WEBs Defined January 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1091 | |||
| Market Risk Adjusted Performance | (2.79) | |||
| Mean Deviation | 1.59 | |||
| Semi Deviation | 1.79 | |||
| Downside Deviation | 1.96 | |||
| Coefficient Of Variation | 715.68 | |||
| Standard Deviation | 1.96 | |||
| Variance | 3.86 | |||
| Information Ratio | 0.0994 | |||
| Jensen Alpha | 0.2709 | |||
| Total Risk Alpha | 0.0797 | |||
| Sortino Ratio | 0.0994 | |||
| Treynor Ratio | (2.80) | |||
| Maximum Drawdown | 8.73 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 3.28 | |||
| Downside Variance | 3.86 | |||
| Semi Variance | 3.21 | |||
| Expected Short fall | (1.73) | |||
| Skewness | (0.29) | |||
| Kurtosis | (0.04) |
WEBs Defined Volatility Backtested Returns
WEBs Defined appears to be very steady, given 3 months investment horizon. WEBs Defined Volatility retains Efficiency (Sharpe Ratio) of 0.13, which attests that the etf had a 0.13 % return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for WEBs Defined, which you can use to evaluate the volatility of the etf. Please utilize WEBs Defined's Market Risk Adjusted Performance of (2.79), mean deviation of 1.59, and Standard Deviation of 1.96 to validate if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of -0.0943, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning WEBs Defined are expected to decrease at a much lower rate. During the bear market, WEBs Defined is likely to outperform the market.
Auto-correlation | 0.57 |
Modest predictability
WEBs Defined Volatility has modest predictability. Overlapping area represents the amount of predictability between WEBs Defined time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of WEBs Defined Volatility price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current WEBs Defined price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 2.26 |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| HITI | High Tide | |
| HITI | High Tide | |
| BAC | Bank of America |
Check out WEBs Defined Correlation, WEBs Defined Volatility and WEBs Defined Alpha and Beta module to complement your research on WEBs Defined. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
WEBs Defined 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.