T ROWE Mutual Fund Forward View

PASVX Fund  USD 51.11  -1.06  -2.03%   
This reference page covers Naive Prediction forecast output for T Rowe Price, including the projected price and deviation metrics. The model is fitted to available historical daily prices.
The Naive Prediction forecasted value of T Rowe Price on the next trading day is expected to be 50.80 with a mean absolute deviation of 0.48 and the sum of the absolute errors of 28.98.This model is not at all useful as a medium-long range forecasting tool of T Rowe Price. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict T ROWE. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. All forecast values on this page for T Rowe Price are Naive Prediction reference data derived from historical price series.
A naive forecasting model for T ROWE is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of T Rowe Price value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Naive Prediction Price Forecast For the 23rd of March

Given 90 days horizon, the Naive Prediction forecasted value of T Rowe Price on the next trading day is expected to be 50.80 with a mean absolute deviation of 0.48 , mean absolute percentage error of 0.35 , and the sum of the absolute errors of 28.98 .
Please note that although there have been many attempts to predict PASVX Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that T ROWE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

Forecasting T Rowe Price for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
51.11
50.80
Expected Value
51.86
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of T ROWE mutual fund data series using in forecasting. Note that when a statistical model is used to represent T ROWE mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria117.0467
BiasArithmetic mean of the errors None
MADMean absolute deviation0.475
MAPEMean absolute percentage error0.0088
SAESum of the absolute errors28.9778
This model is not at all useful as a medium-long range forecasting tool of T Rowe Price. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict T ROWE. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Other Forecasting Options for T ROWE

Price movement is the most critical factor for any investor assessing the potential of PASVX as an investment. The noise inherent in PASVX Mutual Fund price charts can obscure the underlying direction and make investment decisions more challenging.

T ROWE Related Equities

The following equities are related to T ROWE within the Small Blend space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing T ROWE against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
 Risk & Return  Correlation

T ROWE Market Strength Events

For investors in T Rowe Price, market strength indicators provide essential context about how the mutual fund responds to prevailing market trends. These tools support more informed decisions about when to trade T ROWE for maximum effect.

T ROWE Risk Indicators

Identifying and analyzing T ROWE's risk indicators provides investors with important context for price forecasting and investment decision-making. By understanding how much risk is embedded in T ROWE's investment, investors can make better choices about position sizing,.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for T ROWE

A coverage review of T Rowe Price shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.