T ROWE Mutual Fund Forward View

PRSCX Fund  USD 55.39  -0.36  -0.65%   
T Rowe Price's Naive Prediction reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for T ROWE. This page is updated as new daily closing prices become available for T ROWE.
The Naive Prediction forecasted value of T Rowe Price on the next trading day is expected to be 55.24 with a mean absolute deviation of 0.64 and the sum of the absolute errors of 39.72.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 Naive Prediction forecast figures shown for T Rowe Price are reference data reflecting model output based on available historical prices.
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 26th of March

Given 90 days horizon, the Naive Prediction forecasted value of T Rowe Price on the next trading day is expected to be 55.24 with a mean absolute deviation of 0.64 , mean absolute percentage error of 0.74 , and the sum of the absolute errors of 39.72 .
Please note that although there have been many attempts to predict PRSCX 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. The current forecast range spans downside near 53.70 and upside near 56.77.
Market Value
55.39
55.24
Expected Value
56.77
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 Criteria119.6451
BiasArithmetic mean of the errors None
MADMean absolute deviation0.6406
MAPEMean absolute percentage error0.0109
SAESum of the absolute errors39.7189
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

Bollinger Bands applied to PRSCX Mutual Fund price data measure how far PRSCX has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to T ROWE's price data. On-balance volume for PRSCX Mutual Fund creates a running indicator of buying versus selling pressure in PRSCX. Price departures from the channel boundary often mean-revert, offering tactical signals for T ROWE's.

T ROWE Related Equities

These related stocks within the Technology space give benchmarks for judging T ROWE's results, margins, and growth trend. Return on equity across these peers shows how well each firm turns capital into profit.
 Risk & Return  Correlation

T ROWE Market Strength Events

For investors tracking T Rowe Price, market strength indicators offer quantitative evaluation of mutual fund behavior. These indicators add context to timing decisions around T Rowe Price positions. These indicators capture shifts in momentum that may precede significant price moves in T ROWE. These metrics provide actionable context for both entry and risk management decisions around T Rowe Price.

T ROWE Risk Indicators

Analyzing T ROWE's basic risk indicators provides investors with a structured view of the risk-return trade-off for prscx mutual fund. By identifying the level of risk embedded in T ROWE's investment, investors can make informed decisions about position sizing. Analyzing T ROWE's risk indicators gives investors important context for price forecasting. Understanding the risk in T ROWE's investment allows investors to make informed choices about mitigating exposure.
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

The amount of media and story coverage tied to T Rowe Price can signal where market attention is concentrating at the moment. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.