Victory Sycamore Established Fund Market Value
| VETAX Fund | USD 47.19 0.36 0.76% |
| Symbol | Victory |
Victory Sycamore '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 Victory Sycamore'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 Victory Sycamore.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Victory Sycamore on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Victory Sycamore Established or generate 0.0% return on investment in Victory Sycamore over 30 days. Victory Sycamore is related to or competes with Prudential Jennison, Prudential Jennison, Prudential Jennison, Prudential Total, and Prudential Qma. Under normal circumstances, at least 80 percent of the funds assets will be invested in equity securities of companies w... More
Victory Sycamore 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 Victory Sycamore'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 Victory Sycamore Established upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8156 | |||
| Information Ratio | (0.0002) | |||
| Maximum Drawdown | 3.43 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.06 |
Victory Sycamore Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Victory Sycamore's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Victory Sycamore's standard deviation. In reality, there are many statistical measures that can use Victory Sycamore historical prices to predict the future Victory Sycamore's volatility.| Risk Adjusted Performance | 0.0485 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.0002) | |||
| Treynor Ratio | 0.0417 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Victory Sycamore'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.
Victory Sycamore Est Backtested Returns
We consider Victory Sycamore very steady. Victory Sycamore Est owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0685, which indicates the fund had a 0.0685% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Victory Sycamore Established, which you can use to evaluate the volatility of the fund. Please validate Victory Sycamore's Coefficient Of Variation of 1340.61, semi deviation of 0.7227, and Risk Adjusted Performance of 0.0485 to confirm if the risk estimate we provide is consistent with the expected return of 0.0505%. The entity has a beta of 1.09, which indicates a somewhat significant risk relative to the market. Victory Sycamore returns are very sensitive to returns on the market. As the market goes up or down, Victory Sycamore is expected to follow.
Auto-correlation | -0.5 |
Modest reverse predictability
Victory Sycamore Established has modest reverse predictability. Overlapping area represents the amount of predictability between Victory Sycamore time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th of April 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 Victory Sycamore Est price movement. The serial correlation of -0.5 indicates that about 50.0% of current Victory Sycamore price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.81 |
Victory Sycamore Est lagged returns against current returns
Autocorrelation, which is Victory Sycamore 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 Victory Sycamore's mutual fund expected returns. We can calculate the autocorrelation of Victory Sycamore returns to help us make a trade decision. For example, suppose you find that Victory Sycamore 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 |
Victory Sycamore 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 Victory Sycamore mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Victory Sycamore mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Victory Sycamore mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Victory Sycamore Lagged Returns
When evaluating Victory Sycamore's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Victory Sycamore mutual fund have on its future price. Victory Sycamore 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, Victory Sycamore autocorrelation shows the relationship between Victory Sycamore mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Victory Sycamore Established.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Victory Sycamore in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Victory Sycamore's short interest history, or implied volatility extrapolated from Victory Sycamore options trading.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Victory Sycamore Correlation, Victory Sycamore Volatility and Victory Sycamore Alpha and Beta module to complement your research on Victory Sycamore. Note that the Victory Sycamore Est information on this page should be used as a complementary analysis to other Victory Sycamore's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Victory Sycamore technical mutual fund 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, fund market cycles, or different charting patterns.