Vcrm Etf Market Value
| VCRM Etf | 75.27 0.24 0.32% |
| Symbol | VCRM |
The market value of VCRM is measured differently than its book value, which is the value of VCRM that is recorded on the company's balance sheet. Investors also form their own opinion of VCRM's value that differs from its market value or its book value, called intrinsic value, which is VCRM'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 VCRM's market value can be influenced by many factors that don't directly affect VCRM'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 VCRM's value and its price as these two are different measures arrived at by different means. Investors typically determine if VCRM is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VCRM'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.
VCRM '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 VCRM'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 VCRM.
| 11/19/2024 |
| 12/19/2024 |
If you would invest 0.00 in VCRM on November 19, 2024 and sell it all today you would earn a total of 0.00 from holding VCRM or generate 0.0% return on investment in VCRM over 30 days. VCRM is related to or competes with BlackRock High, IShares IBonds, IShares Short, and IShares IBonds. VCRM is entity of United States. It is traded as Etf on US exchange. More
VCRM 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 VCRM'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 VCRM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 0.6078 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.3577 |
VCRM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VCRM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VCRM's standard deviation. In reality, there are many statistical measures that can use VCRM historical prices to predict the future VCRM's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 1.52 |
VCRM Backtested Returns
VCRM owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0169, which indicates the etf had a -0.0169% return per unit of standard deviation over the last 3 months. VCRM exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate VCRM's Market Risk Adjusted Performance of 1.53, standard deviation of 0.2013, and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of -0.0089, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning VCRM are expected to decrease at a much lower rate. During the bear market, VCRM is likely to outperform the market.
Auto-correlation | -0.9 |
Excellent reverse predictability
VCRM has excellent reverse predictability. Overlapping area represents the amount of predictability between VCRM time series from 19th of November 2024 to 4th of December 2024 and 4th of December 2024 to 19th 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 VCRM price movement. The serial correlation of -0.9 indicates that approximately 90.0% of current VCRM price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.9 | |
| Spearman Rank Test | -0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
VCRM lagged returns against current returns
Autocorrelation, which is VCRM 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 VCRM's etf expected returns. We can calculate the autocorrelation of VCRM returns to help us make a trade decision. For example, suppose you find that VCRM 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 |
VCRM 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 VCRM etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VCRM etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VCRM etf over time.
Current vs Lagged Prices |
| Timeline |
VCRM Lagged Returns
When evaluating VCRM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VCRM etf have on its future price. VCRM 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, VCRM autocorrelation shows the relationship between VCRM etf current value and its past values and can show if there is a momentum factor associated with investing in VCRM.
Regressed Prices |
| Timeline |
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VCRM 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.