T Rowe Stock Forecast - Naive Prediction

TROW Stock  USD 118.18  0.66  0.56%   
The Naive Prediction forecasted value of T Rowe Price on the next trading day is expected to be 115.81 with a mean absolute deviation of 1.42 and the sum of the absolute errors of 86.69. TROW Stock Forecast is based on your current time horizon.
  
At this time, T Rowe's Inventory Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to climb to 6.97 in 2024, whereas Payables Turnover is likely to drop 4.58 in 2024. . Common Stock Shares Outstanding is likely to climb to about 274.9 M in 2024, whereas Net Income Applicable To Common Shares is likely to drop slightly above 1.1 B in 2024.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the T Rowe's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2000-12-31
Previous Quarter
2.7 B
Current Value
3.2 B
Quarterly Volatility
791.4 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
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.

T Rowe Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of T Rowe Price on the next trading day is expected to be 115.81 with a mean absolute deviation of 1.42, mean absolute percentage error of 3.50, and the sum of the absolute errors of 86.69.
Please note that although there have been many attempts to predict TROW Stock prices using its time series forecasting, we generally do not recommend 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).

T Rowe Stock Forecast Pattern

Backtest T RoweT Rowe Price PredictionBuy or Sell Advice 

T Rowe Forecasted Value

In the context of forecasting T Rowe's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. T Rowe's downside and upside margins for the forecasting period are 114.33 and 117.29, respectively. We have considered T Rowe's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
118.18
114.33
Downside
115.81
Expected Value
117.29
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 stock data series using in forecasting. Note that when a statistical model is used to represent T Rowe stock, 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 Criteria119.3621
BiasArithmetic mean of the errors None
MADMean absolute deviation1.4211
MAPEMean absolute percentage error0.0128
SAESum of the absolute errors86.6858
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.

Predictive Modules for T Rowe

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as T Rowe Price. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
116.70118.18119.66
Details
Intrinsic
Valuation
LowRealHigh
94.7396.21130.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
108.48115.58122.68
Details
15 Analysts
Consensus
LowTargetHigh
90.6799.64110.60
Details

Other Forecasting Options for T Rowe

For every potential investor in TROW, whether a beginner or expert, T Rowe's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. TROW Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in TROW. Basic forecasting techniques help filter out the noise by identifying T Rowe's price trends.

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 Risk & Return  Correlation

T Rowe Price Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of T Rowe's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of T Rowe's current price.

T Rowe Market Strength Events

Market strength indicators help investors to evaluate how T Rowe stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading T Rowe shares will generate the highest return on investment. By undertsting and applying T Rowe stock market strength indicators, traders can identify T Rowe Price entry and exit signals to maximize returns.

T Rowe Risk Indicators

The analysis of T Rowe's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in T Rowe's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting trow stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.

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Additional Tools for TROW Stock Analysis

When running T Rowe's 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 the 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.