Rithm Property Stock Forecast - Naive Prediction

RPT Stock  USD 2.91  0.06  2.02%   
The Naive Prediction forecasted value of Rithm Property Trust on the next trading day is expected to be 2.88 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 2.91. Rithm Stock Forecast is based on your current time horizon.
  
Fixed Asset Turnover is likely to gain to 11.91 in 2024, whereas Inventory Turnover is likely to drop (27.53) in 2024. . Common Stock Shares Outstanding is likely to drop to about 26.1 M in 2024.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Rithm Property's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2010-12-31
Previous Quarter
52.8 M
Current Value
62.5 M
Quarterly Volatility
48.4 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Rithm Property is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Rithm Property Trust 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.

Rithm Property Naive Prediction Price Forecast For the 14th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Rithm Property Trust on the next trading day is expected to be 2.88 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 2.91.
Please note that although there have been many attempts to predict Rithm 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 Rithm Property's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Rithm Property Stock Forecast Pattern

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Rithm Property Forecasted Value

In the context of forecasting Rithm Property'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. Rithm Property's downside and upside margins for the forecasting period are 1.19 and 4.57, respectively. We have considered Rithm Property'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
2.91
2.88
Expected Value
4.57
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 Rithm Property stock data series using in forecasting. Note that when a statistical model is used to represent Rithm Property 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 Criteria114.4391
BiasArithmetic mean of the errors None
MADMean absolute deviation0.047
MAPEMean absolute percentage error0.0151
SAESum of the absolute errors2.914
This model is not at all useful as a medium-long range forecasting tool of Rithm Property Trust. 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 Rithm Property. 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 Rithm Property

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Rithm Property Trust. 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
1.222.914.60
Details
Intrinsic
Valuation
LowRealHigh
1.383.064.76
Details

Other Forecasting Options for Rithm Property

For every potential investor in Rithm, whether a beginner or expert, Rithm Property's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Rithm Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Rithm. Basic forecasting techniques help filter out the noise by identifying Rithm Property's price trends.

Rithm Property Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Rithm Property stock to make a market-neutral strategy. Peer analysis of Rithm Property could also be used in its relative valuation, which is a method of valuing Rithm Property by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Rithm Property Trust 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 Rithm Property'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 Rithm Property's current price.

Rithm Property Market Strength Events

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

Rithm Property Risk Indicators

The analysis of Rithm Property'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 Rithm Property's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rithm 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Rithm Stock Analysis

When running Rithm Property's price analysis, check to measure Rithm Property'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 Rithm Property is operating at the current time. Most of Rithm Property's value examination focuses on studying past and present price action to predict the probability of Rithm Property's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Rithm Property's price. Additionally, you may evaluate how the addition of Rithm Property to your portfolios can decrease your overall portfolio volatility.