Vy T Rowe Fund Market Value
| IAXAX Fund | USD 8.79 0.17 1.97% |
| Symbol | Vy(r) |
Vy(r) T '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 Vy(r) T'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 Vy(r) T.
| 12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in Vy(r) T on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding Vy T Rowe or generate 0.0% return on investment in Vy(r) T over 30 days. Vy(r) T is related to or competes with Georgia Tax-free, Rbc Ultra-short, Artisan High, Bbh Intermediate, and Enhanced Fixed. Under normal market conditions, the Portfolio invests at least 80 percent of its net assets in the equity securities of companies having a market capitalization within the range of companies in the Russell Midcap Growth Index or the SP MidCap 400 Index at the time of purchase. More
Vy(r) T 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 Vy(r) T'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 Vy T Rowe upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.24 | |||
| Information Ratio | 0.1246 | |||
| Maximum Drawdown | 7.63 | |||
| Value At Risk | (1.42) | |||
| Potential Upside | 1.74 |
Vy(r) T Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vy(r) T's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vy(r) T's standard deviation. In reality, there are many statistical measures that can use Vy(r) T historical prices to predict the future Vy(r) T's volatility.| Risk Adjusted Performance | 0.1197 | |||
| Jensen Alpha | 0.1514 | |||
| Total Risk Alpha | 0.139 | |||
| Sortino Ratio | 0.1166 | |||
| Treynor Ratio | 0.3764 |
Vy T Rowe Backtested Returns
At this stage we consider Vy(r) Mutual Fund to be not too volatile. Vy T Rowe retains Efficiency (Sharpe Ratio) of 0.11, which indicates the fund had a 0.11% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Vy(r) T, which you can use to evaluate the volatility of the fund. Please validate Vy(r) T's Downside Deviation of 1.24, risk adjusted performance of 0.1197, and Mean Deviation of 0.8649 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. The entity owns a Beta (Systematic Risk) of 0.42, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Vy(r) T's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vy(r) T is expected to be smaller as well.
Auto-correlation | -0.28 |
Weak reverse predictability
Vy T Rowe has weak reverse predictability. Overlapping area represents the amount of predictability between Vy(r) T time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 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 Vy T Rowe price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Vy(r) T price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Vy T Rowe lagged returns against current returns
Autocorrelation, which is Vy(r) T 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 Vy(r) T's mutual fund expected returns. We can calculate the autocorrelation of Vy(r) T returns to help us make a trade decision. For example, suppose you find that Vy(r) T 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 |
Vy(r) T 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 Vy(r) T mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vy(r) T mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vy(r) T mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Vy(r) T Lagged Returns
When evaluating Vy(r) T's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vy(r) T mutual fund have on its future price. Vy(r) T 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, Vy(r) T autocorrelation shows the relationship between Vy(r) T mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Vy T Rowe.
Regressed Prices |
| Timeline |
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Other Information on Investing in Vy(r) Mutual Fund
Vy(r) T financial ratios help investors to determine whether Vy(r) 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 Vy(r) with respect to the benefits of owning Vy(r) T security.
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