VNET Group Stock Forecast - Polynomial Regression

VNET Stock  USD 3.88  0.02  0.52%   
The Polynomial Regression forecasted value of VNET Group DRC on the next trading day is expected to be 4.17 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 11.06. VNET Stock Forecast is based on your current time horizon.
  
Asset Turnover is likely to gain to 0.42 in 2024, despite the fact that Inventory Turnover is likely to grow to (2.3 K). . Common Stock Shares Outstanding is likely to drop to about 101 M in 2024. Net Loss is likely to drop to about (733.3 M) in 2024.
VNET Group polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for VNET Group DRC as well as the accuracy indicators are determined from the period prices.

VNET Group Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of VNET Group DRC on the next trading day is expected to be 4.17 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.05, and the sum of the absolute errors of 11.06.
Please note that although there have been many attempts to predict VNET 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 VNET Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

VNET Group Stock Forecast Pattern

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VNET Group Forecasted Value

In the context of forecasting VNET Group'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. VNET Group's downside and upside margins for the forecasting period are 0.04 and 10.33, respectively. We have considered VNET Group'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
3.88
4.17
Expected Value
10.33
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 VNET Group stock data series using in forecasting. Note that when a statistical model is used to represent VNET Group 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 Criteria115.1548
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1813
MAPEMean absolute percentage error0.0516
SAESum of the absolute errors11.0608
A single variable polynomial regression model attempts to put a curve through the VNET Group 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 VNET Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VNET Group DRC. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of VNET Group's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.193.8810.03
Details
Intrinsic
Valuation
LowRealHigh
0.163.119.26
Details
11 Analysts
Consensus
LowTargetHigh
4.094.494.98
Details

Other Forecasting Options for VNET Group

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

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 Risk & Return  Correlation

VNET Group DRC 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 VNET Group'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 VNET Group's current price.

VNET Group Market Strength Events

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

VNET Group Risk Indicators

The analysis of VNET Group'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 VNET Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vnet 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

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Additional Tools for VNET Stock Analysis

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