Vaneck Vectors Etf Market Value
| SMI Etf | USD 46.78 0.02 0.04% |
| Symbol | VanEck |
The market value of VanEck Vectors ETF 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 Vectors' value that differs from its market value or its book value, called intrinsic value, which is VanEck Vectors' 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 Vectors' market value can be influenced by many factors that don't directly affect VanEck Vectors' 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 Vectors' value and its price as these two are different measures arrived at by different means. Investors typically determine if VanEck Vectors is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VanEck Vectors' 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 Vectors '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 Vectors' 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 Vectors.
| 12/15/2022 |
| 12/04/2024 |
If you would invest 0.00 in VanEck Vectors on December 15, 2022 and sell it all today you would earn a total of 0.00 from holding VanEck Vectors ETF or generate 0.0% return on investment in VanEck Vectors over 720 days. VanEck Vectors is related to or competes with Formidable Fortress, Sonida Senior, China Yuchai, and Nine Energy. The fund normally invests at least 80 percent of its total assets in investments the income from which is exempt from U.... More
VanEck Vectors 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 Vectors' 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 Vectors ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3195 | |||
| Information Ratio | (0.32) | |||
| Maximum Drawdown | 1.73 | |||
| Value At Risk | (0.30) | |||
| Potential Upside | 0.4508 |
VanEck Vectors Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VanEck Vectors' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VanEck Vectors' standard deviation. In reality, there are many statistical measures that can use VanEck Vectors historical prices to predict the future VanEck Vectors' volatility.| Risk Adjusted Performance | 0.0397 | |||
| Jensen Alpha | 0.0232 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.29) | |||
| Treynor Ratio | (0.1) |
VanEck Vectors ETF Backtested Returns
VanEck Vectors is very steady at the moment. VanEck Vectors ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.041, which indicates the etf had a 0.041% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for VanEck Vectors ETF, which you can use to evaluate the volatility of the etf. Please validate VanEck Vectors' Semi Deviation of 0.265, risk adjusted performance of 0.0397, and Coefficient Of Variation of 1364.08 to confirm if the risk estimate we provide is consistent with the expected return of 0.0118%. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning VanEck Vectors are expected to decrease at a much lower rate. During the bear market, VanEck Vectors is likely to outperform the market.
Auto-correlation | -0.42 |
Modest reverse predictability
VanEck Vectors ETF has modest reverse predictability. Overlapping area represents the amount of predictability between VanEck Vectors time series from 15th of December 2022 to 10th of December 2023 and 10th of December 2023 to 4th of December 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 VanEck Vectors ETF price movement. The serial correlation of -0.42 indicates that just about 42.0% of current VanEck Vectors price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
VanEck Vectors ETF lagged returns against current returns
Autocorrelation, which is VanEck Vectors 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 Vectors' etf expected returns. We can calculate the autocorrelation of VanEck Vectors returns to help us make a trade decision. For example, suppose you find that VanEck Vectors 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 Vectors 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 Vectors etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VanEck Vectors etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VanEck Vectors etf over time.
Current vs Lagged Prices |
| Timeline |
VanEck Vectors Lagged Returns
When evaluating VanEck Vectors' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VanEck Vectors etf have on its future price. VanEck Vectors 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 Vectors autocorrelation shows the relationship between VanEck Vectors etf current value and its past values and can show if there is a momentum factor associated with investing in VanEck Vectors ETF.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether VanEck Vectors ETF offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of VanEck Vectors' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Vaneck Vectors Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Vaneck Vectors Etf:Check out VanEck Vectors Correlation, VanEck Vectors Volatility and VanEck Vectors Alpha and Beta module to complement your research on VanEck Vectors. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
VanEck Vectors 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.