Pagaya Technologies Stock Forecast - 4 Period Moving Average

PGY Stock  USD 10.50  0.93  9.72%   
The 4 Period Moving Average forecasted value of Pagaya Technologies on the next trading day is expected to be 9.89 with a mean absolute deviation of 0.88 and the sum of the absolute errors of 50.26. Pagaya Stock Forecast is based on your current time horizon.
  
Payables Turnover is likely to rise to 415.55 in 2024, whereas Inventory Turnover is likely to drop 21.86 in 2024. . Common Stock Shares Outstanding is likely to drop to about 32.8 M in 2024. Net Loss is likely to rise to about (268.9 M) in 2024.
A four-period moving average forecast model for Pagaya Technologies is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Pagaya Technologies 4 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Pagaya Technologies on the next trading day is expected to be 9.89 with a mean absolute deviation of 0.88, mean absolute percentage error of 1.79, and the sum of the absolute errors of 50.26.
Please note that although there have been many attempts to predict Pagaya 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 Pagaya Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Pagaya Technologies Stock Forecast Pattern

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Pagaya Technologies Forecasted Value

In the context of forecasting Pagaya Technologies' 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. Pagaya Technologies' downside and upside margins for the forecasting period are 2.23 and 17.56, respectively. We have considered Pagaya Technologies' 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
10.50
9.89
Expected Value
17.56
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Pagaya Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Pagaya Technologies 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 Criteria111.3436
BiasArithmetic mean of the errors 0.1054
MADMean absolute deviation0.8817
MAPEMean absolute percentage error0.0799
SAESum of the absolute errors50.2575
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Pagaya Technologies. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Pagaya Technologies and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Pagaya Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pagaya Technologies. 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
2.8810.5418.20
Details
Intrinsic
Valuation
LowRealHigh
0.336.6114.27
Details
Bollinger
Band Projection (param)
LowMiddleHigh
5.4810.4915.50
Details
8 Analysts
Consensus
LowTargetHigh
3.153.463.84
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Pagaya Technologies. Your research has to be compared to or analyzed against Pagaya Technologies' peers to derive any actionable benefits. When done correctly, Pagaya Technologies' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Pagaya Technologies.

Other Forecasting Options for Pagaya Technologies

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

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 Risk & Return  Correlation

Pagaya Technologies 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 Pagaya Technologies' 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 Pagaya Technologies' current price.

Pagaya Technologies Market Strength Events

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

Pagaya Technologies Risk Indicators

The analysis of Pagaya Technologies' 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 Pagaya Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pagaya 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 Pagaya Stock Analysis

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