Voya Russelltm Small Fund Market Value
IIRSX Fund | USD 13.25 0.03 0.23% |
Symbol | Voya |
Voya Russelltm '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 Voya Russelltm'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 Voya Russelltm.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Voya Russelltm on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Voya Russelltm Small or generate 0.0% return on investment in Voya Russelltm over 30 days. Voya Russelltm is related to or competes with Voya Bond, Voya Bond, Voya Limited, Voya Limited, Voya Bond, Voya Multi, and Voya Midcap. The fund normally invests at least 80 percent of its net assets in equity securities of companies, which are at the time of purchase, included in the index convertible securities that are convertible into stocks included in the index other derivatives whose economic returns are, by design, closely equivalent to the returns of the index or its components and exchange-traded funds that track the index. More
Voya Russelltm 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 Voya Russelltm'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 Voya Russelltm Small upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.37 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 6.07 | |||
Value At Risk | (1.94) | |||
Potential Upside | 2.04 |
Voya Russelltm Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Voya Russelltm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Voya Russelltm's standard deviation. In reality, there are many statistical measures that can use Voya Russelltm historical prices to predict the future Voya Russelltm's volatility.Risk Adjusted Performance | 0.0168 | |||
Jensen Alpha | (0.09) | |||
Total Risk Alpha | (0.11) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | 0.0081 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Voya Russelltm'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.
Voya Russelltm Small Backtested Returns
Voya Russelltm Small owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0162, which indicates the fund had a -0.0162% return per unit of risk over the last 3 months. Voya Russelltm Small exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Voya Russelltm's Risk Adjusted Performance of 0.0168, coefficient of variation of 5285.68, and Semi Deviation of 1.31 to confirm the risk estimate we provide. The entity has a beta of 1.74, 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, Voya Russelltm will likely underperform.
Auto-correlation | 0.15 |
Insignificant predictability
Voya Russelltm Small has insignificant predictability. Overlapping area represents the amount of predictability between Voya Russelltm time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Voya Russelltm Small price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Voya Russelltm price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.15 | |
Spearman Rank Test | 0.32 | |
Residual Average | 0.0 | |
Price Variance | 0.11 |
Voya Russelltm Small lagged returns against current returns
Autocorrelation, which is Voya Russelltm 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 Voya Russelltm's mutual fund expected returns. We can calculate the autocorrelation of Voya Russelltm returns to help us make a trade decision. For example, suppose you find that Voya Russelltm 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 |
Voya Russelltm 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 Voya Russelltm mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Voya Russelltm mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Voya Russelltm mutual fund over time.
Current vs Lagged Prices |
Timeline |
Voya Russelltm Lagged Returns
When evaluating Voya Russelltm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Voya Russelltm mutual fund have on its future price. Voya Russelltm 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, Voya Russelltm autocorrelation shows the relationship between Voya Russelltm mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Voya Russelltm Small.
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 Voya Russelltm 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, Voya Russelltm's short interest history, or implied volatility extrapolated from Voya Russelltm options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Voya Russelltm Correlation, Voya Russelltm Volatility and Voya Russelltm Alpha and Beta module to complement your research on Voya Russelltm. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Voya Russelltm 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.