Vaneck Technology Trusector Etf Market Value
| TRUT Etf | 26.90 0.05 0.19% |
| Symbol | VanEck |
The market value of VanEck Technology is measured differently than its book value, which is the value of VanEck that is recorded on the company's balance sheet. Investors also form their own opinion of VanEck Technology's value that differs from its market value or its book value, called intrinsic value, which is VanEck Technology'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 VanEck Technology's market value can be influenced by many factors that don't directly affect VanEck Technology'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 VanEck Technology's value and its price as these two are different measures arrived at by different means. Investors typically determine if VanEck Technology is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VanEck Technology'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.
VanEck Technology '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 VanEck Technology'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 VanEck Technology.
| 11/27/2025 |
| 12/27/2025 |
If you would invest 0.00 in VanEck Technology on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding VanEck Technology TruSector or generate 0.0% return on investment in VanEck Technology over 30 days. VanEck Technology is related to or competes with TrueShares Structured, JPMorgan Fundamental, RACWI ETF, First Trust, Northern Lights, SPDR Galaxy, and FlexShares Emerging. VanEck Technology is entity of United States More
VanEck Technology 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 VanEck Technology'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 VanEck Technology TruSector upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.59 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 5.63 | |||
| Value At Risk | (2.36) | |||
| Potential Upside | 2.0 |
VanEck Technology Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VanEck Technology's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VanEck Technology's standard deviation. In reality, there are many statistical measures that can use VanEck Technology historical prices to predict the future VanEck Technology's volatility.| Risk Adjusted Performance | 0.0462 | |||
| Jensen Alpha | 0.065 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 2.45 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of VanEck Technology'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.
VanEck Technology Backtested Returns
Currently, VanEck Technology TruSector is very steady. VanEck Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0514, which indicates the etf had a 0.0514 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for VanEck Technology TruSector, which you can use to evaluate the volatility of the etf. Please validate VanEck Technology's Semi Deviation of 1.47, coefficient of variation of 1690.4, and Risk Adjusted Performance of 0.0462 to confirm if the risk estimate we provide is consistent with the expected return of 0.0678%. The entity has a beta of 0.0273, which indicates not very significant fluctuations relative to the market. As returns on the market increase, VanEck Technology's returns are expected to increase less than the market. However, during the bear market, the loss of holding VanEck Technology is expected to be smaller as well.
Auto-correlation | 0.37 |
Below average predictability
VanEck Technology TruSector has below average predictability. Overlapping area represents the amount of predictability between VanEck Technology time series from 27th of November 2025 to 12th of December 2025 and 12th of December 2025 to 27th 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 VanEck Technology price movement. The serial correlation of 0.37 indicates that just about 37.0% of current VanEck Technology price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
VanEck Technology lagged returns against current returns
Autocorrelation, which is VanEck Technology 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 VanEck Technology's etf expected returns. We can calculate the autocorrelation of VanEck Technology returns to help us make a trade decision. For example, suppose you find that VanEck Technology 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 |
VanEck Technology 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 VanEck Technology etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VanEck Technology etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VanEck Technology etf over time.
Current vs Lagged Prices |
| Timeline |
VanEck Technology Lagged Returns
When evaluating VanEck Technology's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VanEck Technology etf have on its future price. VanEck Technology 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, VanEck Technology autocorrelation shows the relationship between VanEck Technology etf current value and its past values and can show if there is a momentum factor associated with investing in VanEck Technology TruSector.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out VanEck Technology Correlation, VanEck Technology Volatility and VanEck Technology Alpha and Beta module to complement your research on VanEck Technology. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
VanEck Technology 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.