Victory Rs Science Fund Market Value
RSIFX Fund | USD 21.83 0.09 0.41% |
Symbol | Victory |
Victory Rs '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 Rs' 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 Rs.
02/13/2024 |
| 05/13/2024 |
If you would invest 0.00 in Victory Rs on February 13, 2024 and sell it all today you would earn a total of 0.00 from holding Victory Rs Science or generate 0.0% return on investment in Victory Rs over 90 days. Victory Rs is related to or competes with Vanguard Information, Technology Portfolio, Fidelity Select, Software, Columbia Seligman, and Columbia Seligman. The fund invests, under normal circumstances, at least 80 percent of its assets in science andor technology companies More
Victory Rs 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 Rs' 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 Rs Science upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.42 | |||
Information Ratio | (0.04) | |||
Maximum Drawdown | 5.71 | |||
Value At Risk | (2.44) | |||
Potential Upside | 2.31 |
Victory Rs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Victory Rs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Victory Rs' standard deviation. In reality, there are many statistical measures that can use Victory Rs historical prices to predict the future Victory Rs' volatility.Risk Adjusted Performance | 0.0175 | |||
Jensen Alpha | (0.10) | |||
Total Risk Alpha | (0.15) | |||
Sortino Ratio | (0.04) | |||
Treynor Ratio | 0.0103 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Victory Rs' 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 Rs Science Backtested Returns
We consider Victory Rs out of control. Victory Rs Science owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0197, which indicates the fund had a 0.0197% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Victory Rs Science, which you can use to evaluate the volatility of the fund. Please validate Victory Rs' Semi Deviation of 1.36, risk adjusted performance of 0.0175, and Coefficient Of Variation of 5132.98 to confirm if the risk estimate we provide is consistent with the expected return of 0.0264%. The entity has a beta of 1.62, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Victory Rs will likely underperform.
Auto-correlation | -0.44 |
Modest reverse predictability
Victory Rs Science has modest reverse predictability. Overlapping area represents the amount of predictability between Victory Rs time series from 13th of February 2024 to 29th of March 2024 and 29th of March 2024 to 13th of May 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 Rs Science price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Victory Rs price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.44 | |
Spearman Rank Test | -0.25 | |
Residual Average | 0.0 | |
Price Variance | 0.34 |
Victory Rs Science lagged returns against current returns
Autocorrelation, which is Victory Rs 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 Rs' mutual fund expected returns. We can calculate the autocorrelation of Victory Rs returns to help us make a trade decision. For example, suppose you find that Victory Rs 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 Rs 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 Rs mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Victory Rs 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 Rs mutual fund over time.
Current vs Lagged Prices |
Timeline |
Victory Rs Lagged Returns
When evaluating Victory Rs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Victory Rs mutual fund have on its future price. Victory Rs 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 Rs autocorrelation shows the relationship between Victory Rs mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Victory Rs Science.
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 Rs 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 Rs' short interest history, or implied volatility extrapolated from Victory Rs options trading.
Currently Active Assets on Macroaxis
XERS | Xeris Pharmaceuticals | |
IGM | iShares Expanded Tech | |
QCOM | Qualcomm Incorporated | |
QTEC | First Trust NASDAQ 100 Technology | |
BA | The Boeing |
Check out Victory Rs Correlation, Victory Rs Volatility and Victory Rs Alpha and Beta module to complement your research on Victory Rs. Note that the Victory Rs Science information on this page should be used as a complementary analysis to other Victory Rs' 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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Victory Rs 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.