PGIM Short Stock Forecast - Polynomial Regression

SDHY Stock  USD 16.53  0.06  0.36%   
The Polynomial Regression forecasted value of PGIM Short Duration on the next trading day is expected to be 16.64 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.36. PGIM Stock Forecast is based on your current time horizon.
  
Receivables Turnover is likely to rise to 4.38 in 2024. Asset Turnover is likely to rise to 0.08 in 2024. Common Stock Shares Outstanding is likely to drop to about 19.7 M in 2024.
PGIM Short polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for PGIM Short Duration as well as the accuracy indicators are determined from the period prices.

PGIM Short Polynomial Regression Price Forecast For the 30th of November

Given 90 days horizon, the Polynomial Regression forecasted value of PGIM Short Duration on the next trading day is expected to be 16.64 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.36.
Please note that although there have been many attempts to predict PGIM 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 PGIM Short's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PGIM Short Stock Forecast Pattern

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PGIM Short Forecasted Value

In the context of forecasting PGIM Short'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. PGIM Short's downside and upside margins for the forecasting period are 16.18 and 17.09, respectively. We have considered PGIM Short'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
16.53
16.64
Expected Value
17.09
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of PGIM Short stock data series using in forecasting. Note that when a statistical model is used to represent PGIM Short 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 Criteria112.9426
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0551
MAPEMean absolute percentage error0.0034
SAESum of the absolute errors3.3597
A single variable polynomial regression model attempts to put a curve through the PGIM Short historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for PGIM Short

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PGIM Short Duration. 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
16.0716.5316.99
Details
Intrinsic
Valuation
LowRealHigh
15.9616.4216.88
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.3616.5416.72
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as PGIM Short. Your research has to be compared to or analyzed against PGIM Short's peers to derive any actionable benefits. When done correctly, PGIM Short's 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 PGIM Short Duration.

Other Forecasting Options for PGIM Short

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

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 Risk & Return  Correlation

PGIM Short Duration 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 PGIM Short'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 PGIM Short's current price.

PGIM Short Market Strength Events

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

PGIM Short Risk Indicators

The analysis of PGIM Short'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 PGIM Short's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pgim 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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for PGIM Stock Analysis

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