PASVX Mutual Fund Market Value

PASVX
 Fund
  

USD 48.77  1.05  2.11%   

T Rowe's market value is the price at which a share of T Rowe stock trades on a public exchange. It measures the collective expectations of T Rowe Price investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of T Rowe Price and determine expected loss or profit from investing in T Rowe over a given investment horizon. Please check T Rowe Correlation, T Rowe Volatility and T Rowe Alpha and Beta module to complement your research on T Rowe.
Symbol

Please note, there is a significant difference between T Rowe's value and its price as these two are different measures arrived at by different means. Investors typically determine T Rowe value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, T Rowe's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

T Rowe '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 T Rowe'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 T Rowe.
0.00
06/28/2022
No Change 0.00  0.0 
In 3 months and 1 day
09/26/2022
0.00
If you would invest  0.00  in T Rowe on June 28, 2022 and sell it all today you would earn a total of 0.00 from holding T Rowe Price or generate 0.0% return on investment in T Rowe over 90 days. T Rowe is related to or competes with Hp. The fund will invest at least 80 percent of its net assets in companies with a market capitalization that is within or b... More

T Rowe 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 T Rowe'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 T Rowe Price upside and downside potential and time the market with a certain degree of confidence.

T Rowe Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for T Rowe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as T Rowe's standard deviation. In reality, there are many statistical measures that can use T Rowe historical prices to predict the future T Rowe's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of T Rowe'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. Please use the tools below to analyze the current value of T Rowe in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
47.5148.7750.03
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Intrinsic
Valuation
LowReal ValueHigh
48.5549.8151.07
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as T Rowe. Your research has to be compared to or analyzed against T Rowe's peers to derive any actionable benefits. When done correctly, T Rowe's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in T Rowe Price.

T Rowe Price Backtested Returns

T Rowe Price owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0209, which indicates the fund had -0.0209% of return per unit of standard deviation over the last 3 months. Macroaxis viewpoint regarding measuring the risk of any fund is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. T Rowe Price exposes twenty-one different technical indicators, which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate T Rowe Downside Deviation of 1.24, market risk adjusted performance of 0.0118, and Risk Adjusted Performance of 0.0116 to confirm the risk estimate we provide.
The entity has a beta of 1.001, which indicates a somewhat significant risk relative to the market. Let's try to break down what PASVX's beta means in this case. T Rowe returns are very sensitive to returns on the market. As the market goes up or down, T Rowe is expected to follow. Even though it is essential to pay attention to T Rowe Price current price movements, it is always good to be careful when utilizing equity historical returns. Our way of measuring any fund's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. T Rowe Price exposes twenty-one different technical indicators, which can help you to evaluate its performance.

Auto-correlation

    
  -0.82  

Excellent reverse predictability

T Rowe Price has excellent reverse predictability. Overlapping area represents the amount of predictability between T Rowe time series from 28th of June 2022 to 12th of August 2022 and 12th of August 2022 to 26th of September 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of T Rowe Price price movement. The serial correlation of -0.82 indicates that around 82.0% of current T Rowe price fluctuation can be explain by its past prices.
Correlation Coefficient-0.82
Spearman Rank Test-0.81
Residual Average0.0
Price Variance4.99

T Rowe Price lagged returns against current returns

Autocorrelation, which is T Rowe 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 T Rowe's mutual fund expected returns. We can calculate the autocorrelation of T Rowe returns to help us make a trade decision. For example, suppose you find that T Rowe mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
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T Rowe 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 T Rowe mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if T Rowe mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in T Rowe mutual fund over time.
   Current vs Lagged Prices   
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       Timeline  

T Rowe Lagged Returns

When evaluating T Rowe's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of T Rowe mutual fund have on its future price. T Rowe 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, T Rowe autocorrelation shows the relationship between T Rowe mutual fund current value and its past values and can show if there is a momentum factor associated with investing in T Rowe Price.
   Regressed Prices   
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       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 T Rowe 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, T Rowe's short interest history, or implied volatility extrapolated from T Rowe options trading.

Currently Active Assets on Macroaxis

Please check T Rowe Correlation, T Rowe Volatility and T Rowe Alpha and Beta module to complement your research on T Rowe. You can also try Fundamental Analysis module to view fundamental data based on most recent published financial statements.

Complementary Tools for analysis

When running T Rowe Price price analysis, check to measure T Rowe's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy T Rowe is operating at the current time. Most of T Rowe's value examination focuses on studying past and present price action to predict the probability of T Rowe's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move T Rowe's price. Additionally, you may evaluate how the addition of T Rowe to your portfolios can decrease your overall portfolio volatility.
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T Rowe 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.
A focus of T Rowe technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of T Rowe trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...