Vsdm Etf Market Value
| VSDM Etf | 75.04 0.07 0.09% |
| Symbol | VSDM |
The market value of VSDM is measured differently than its book value, which is the value of VSDM that is recorded on the company's balance sheet. Investors also form their own opinion of VSDM's value that differs from its market value or its book value, called intrinsic value, which is VSDM'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 VSDM's market value can be influenced by many factors that don't directly affect VSDM'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 VSDM's value and its price as these two are different measures arrived at by different means. Investors typically determine if VSDM is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VSDM'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.
VSDM '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 VSDM'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 VSDM.
| 01/28/2024 |
| 01/22/2025 |
If you would invest 0.00 in VSDM on January 28, 2024 and sell it all today you would earn a total of 0.00 from holding VSDM or generate 0.0% return on investment in VSDM over 360 days. VSDM is related to or competes with VanEck Vectors, Valued Advisers, Xtrackers California, Principal Exchange, Vanguard ESG, PIMCO Enhanced, and Vanguard Intermediate. VSDM is entity of United States. It is traded as Etf on US exchange. More
VSDM 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 VSDM'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 VSDM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.34) | |||
| Maximum Drawdown | 0.4805 | |||
| Value At Risk | (0.33) | |||
| Potential Upside | 0.1607 |
VSDM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VSDM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VSDM's standard deviation. In reality, there are many statistical measures that can use VSDM historical prices to predict the future VSDM's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | (1.81) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of VSDM'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.
VSDM Backtested Returns
VSDM owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0413, which indicates the etf had a -0.0413 % return per unit of volatility over the last 3 months. VSDM exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate VSDM's risk adjusted performance of (0.09), and Variance of 0.015 to confirm the risk estimate we provide. The entity has a beta of 0.0083, which indicates not very significant fluctuations relative to the market. As returns on the market increase, VSDM's returns are expected to increase less than the market. However, during the bear market, the loss of holding VSDM is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
VSDM has no correlation between past and present. Overlapping area represents the amount of predictability between VSDM time series from 28th of January 2024 to 26th of July 2024 and 26th of July 2024 to 22nd of January 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 VSDM price movement. The serial correlation of 0.0 indicates that just 0.0% of current VSDM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
VSDM lagged returns against current returns
Autocorrelation, which is VSDM 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 VSDM's etf expected returns. We can calculate the autocorrelation of VSDM returns to help us make a trade decision. For example, suppose you find that VSDM 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 |
VSDM 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 VSDM etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VSDM etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VSDM etf over time.
Current vs Lagged Prices |
| Timeline |
VSDM Lagged Returns
When evaluating VSDM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VSDM etf have on its future price. VSDM 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, VSDM autocorrelation shows the relationship between VSDM etf current value and its past values and can show if there is a momentum factor associated with investing in VSDM.
Regressed Prices |
| Timeline |
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VSDM 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.