AbbVie Stock Forecast - Polynomial Regression

ABBV Stock  USD 171.09  3.34  1.91%   
The Polynomial Regression forecasted value of AbbVie Inc on the next trading day is expected to be 185.59 with a mean absolute deviation of 3.75 and the sum of the absolute errors of 232.49. AbbVie Stock Forecast is based on your current time horizon.
  
Asset Turnover is likely to climb to 0.57 in 2024, whereas Inventory Turnover is likely to drop 2.03 in 2024. . Common Stock Shares Outstanding is likely to climb to about 1.8 B in 2024. Net Income Applicable To Common Shares is likely to climb to about 14.3 B in 2024.

Open Interest Against 2024-11-15 AbbVie Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast AbbVie's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in AbbVie's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for AbbVie stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current AbbVie's open interest, investors have to compare it to AbbVie's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of AbbVie is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in AbbVie. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
AbbVie polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for AbbVie Inc as well as the accuracy indicators are determined from the period prices.

AbbVie Polynomial Regression Price Forecast For the 14th of November 2024

Given 90 days horizon, the Polynomial Regression forecasted value of AbbVie Inc on the next trading day is expected to be 185.59 with a mean absolute deviation of 3.75, mean absolute percentage error of 32.10, and the sum of the absolute errors of 232.49.
Please note that although there have been many attempts to predict AbbVie 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 AbbVie's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AbbVie Stock Forecast Pattern

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AbbVie Forecasted Value

In the context of forecasting AbbVie'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. AbbVie's downside and upside margins for the forecasting period are 183.61 and 187.57, respectively. We have considered AbbVie'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
171.09
183.61
Downside
185.59
Expected Value
187.57
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 AbbVie stock data series using in forecasting. Note that when a statistical model is used to represent AbbVie 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 Criteria123.4171
BiasArithmetic mean of the errors None
MADMean absolute deviation3.7499
MAPEMean absolute percentage error0.0196
SAESum of the absolute errors232.4928
A single variable polynomial regression model attempts to put a curve through the AbbVie 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 AbbVie

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AbbVie Inc. 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
168.39170.36172.33
Details
Intrinsic
Valuation
LowRealHigh
158.55160.52188.20
Details
Bollinger
Band Projection (param)
LowMiddleHigh
176.00192.37208.74
Details
27 Analysts
Consensus
LowTargetHigh
145.79160.21177.83
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as AbbVie. Your research has to be compared to or analyzed against AbbVie's peers to derive any actionable benefits. When done correctly, AbbVie'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 AbbVie Inc.

Other Forecasting Options for AbbVie

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

AbbVie 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 AbbVie stock to make a market-neutral strategy. Peer analysis of AbbVie could also be used in its relative valuation, which is a method of valuing AbbVie by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

AbbVie Inc 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 AbbVie'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 AbbVie's current price.

AbbVie Market Strength Events

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

AbbVie Risk Indicators

The analysis of AbbVie'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 AbbVie's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting abbvie 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 AbbVie Stock Analysis

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