Us Vector Equity Fund Market Value
| DFVEX Fund | USD 26.77 0.02 0.07% |
| Symbol | DFVEX |
Us Vector '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 Us Vector's mutual fund 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 Us Vector.
| 12/26/2024 |
| 03/26/2025 |
If you would invest 0.00 in Us Vector on December 26, 2024 and sell it all today you would earn a total of 0.00 from holding Us Vector Equity or generate 0.0% return on investment in Us Vector over 90 days. Us Vector is related to or competes with Vanguard Financials, Fidelity Advisor, Icon Financial, Davis Financial, Transamerica Financial, and Rmb Mendon. The fund purchases a broad and diverse group of equity securities of U.S More
Us Vector 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 Us Vector's mutual fund 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 Us Vector Equity upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 3.85 | |||
| Value At Risk | (1.91) | |||
| Potential Upside | 1.32 |
Us Vector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Us Vector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Us Vector's standard deviation. In reality, there are many statistical measures that can use Us Vector historical prices to predict the future Us Vector's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (0.08) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Us Vector'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.
Us Vector Equity Backtested Returns
Us Vector Equity retains Efficiency (Sharpe Ratio) of -0.0628, which indicates the fund had a -0.0628 % return per unit of price deviation over the last 3 months. Us Vector exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Us Vector's Mean Deviation of 0.7641, risk adjusted performance of (0.05), and Standard Deviation of 0.9976 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.98, which indicates possible diversification benefits within a given portfolio. Us Vector returns are very sensitive to returns on the market. As the market goes up or down, Us Vector is expected to follow.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
Us Vector Equity has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Us Vector time series from 26th of December 2024 to 9th of February 2025 and 9th of February 2025 to 26th of March 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 Us Vector Equity price movement. The serial correlation of -0.8 indicates that around 80.0% of current Us Vector price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.76 |
Us Vector Equity lagged returns against current returns
Autocorrelation, which is Us Vector mutual fund'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 Us Vector's mutual fund expected returns. We can calculate the autocorrelation of Us Vector returns to help us make a trade decision. For example, suppose you find that Us Vector has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Us Vector 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 Us Vector mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Us Vector mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Us Vector mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Us Vector Lagged Returns
When evaluating Us Vector's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Us Vector mutual fund have on its future price. Us Vector 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, Us Vector autocorrelation shows the relationship between Us Vector mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Us Vector Equity.
Regressed Prices |
| Timeline |
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Other Information on Investing in DFVEX Mutual Fund
Us Vector financial ratios help investors to determine whether DFVEX Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in DFVEX with respect to the benefits of owning Us Vector security.
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