Autoliv Stock Forecast - Simple Regression

ALV Stock  USD 126.94  1.19  0.95%   
The Simple Regression forecasted value of Autoliv on the next trading day is expected to be 125.58 with a mean absolute deviation of 2.09 and the sum of the absolute errors of 127.71. Autoliv Stock Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Autoliv's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Autoliv's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Autoliv and does not consider all of the tangible or intangible factors available from Autoliv's fundamental data. We analyze noise-free headlines and recent hype associated with Autoliv, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Autoliv's stock price prediction:
Quarterly Earnings Growth
0.31
EPS Estimate Next Quarter
3.1531
EPS Estimate Current Year
9.5778
EPS Estimate Next Year
11.0056
Wall Street Target Price
138.725
Using Autoliv hype-based prediction, you can estimate the value of Autoliv from the perspective of Autoliv response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Autoliv using Autoliv's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Autoliv using crowd psychology based on the activity and movement of Autoliv's stock price.

Autoliv Short Interest

An investor who is long Autoliv may also wish to track short interest. As short interest increases, investors should be becoming more worried about Autoliv and may potentially protect profits, hedge Autoliv with its derivative instruments, or be ready for some potential downside.
200 Day MA
114.1534
Short Percent
0.0516
Short Ratio
6.73
Shares Short Prior Month
2.6 M
50 Day MA
121.1282

Autoliv Hype to Price Pattern

Investor biases related to Autoliv's public news can be used to forecast risks associated with an investment in Autoliv. The trend in average sentiment can be used to explain how an investor holding Autoliv can time the market purely based on public headlines and social activities around Autoliv. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.

Autoliv Implied Volatility

    
  0.42  
Autoliv's implied volatility exposes the market's sentiment of Autoliv stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Autoliv's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Autoliv stock will not fluctuate a lot when Autoliv's options are near their expiration.
The Simple Regression forecasted value of Autoliv on the next trading day is expected to be 125.58 with a mean absolute deviation of 2.09 and the sum of the absolute errors of 127.71.

Autoliv after-hype prediction price

    
  USD 126.96  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Autoliv to cross-verify your projections.
For more information on how to buy Autoliv Stock please use our How to Invest in Autoliv guide.

Prediction based on Rule 16 of the current Autoliv contract

Based on the Rule 16, the options market is currently suggesting that Autoliv will have an average daily up or down price movement of about 0.0263% per day over the life of the 2026-03-20 option contract. With Autoliv trading at USD 126.94, that is roughly USD 0.0333 . If you think that the market is fully incorporating Autoliv's daily price movement you should consider acquiring Autoliv options at the current volatility level of 0.42%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-03-20 Autoliv Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Autoliv'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 Autoliv's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Autoliv 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 Autoliv's open interest, investors have to compare it to Autoliv'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 Autoliv 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 Autoliv. 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.

Autoliv Additional Predictive Modules

Most predictive techniques to examine Autoliv price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Autoliv using various technical indicators. When you analyze Autoliv charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Autoliv price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Autoliv Simple Regression Price Forecast For the 26th of January

Given 90 days horizon, the Simple Regression forecasted value of Autoliv on the next trading day is expected to be 125.58 with a mean absolute deviation of 2.09, mean absolute percentage error of 6.62, and the sum of the absolute errors of 127.71.
Please note that although there have been many attempts to predict Autoliv 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 Autoliv's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Autoliv Stock Forecast Pattern

Backtest AutolivAutoliv Price PredictionBuy or Sell Advice 

Autoliv Forecasted Value

In the context of forecasting Autoliv'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. Autoliv's downside and upside margins for the forecasting period are 124.12 and 127.04, respectively. We have considered Autoliv'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
126.94
124.12
Downside
125.58
Expected Value
127.04
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Autoliv stock data series using in forecasting. Note that when a statistical model is used to represent Autoliv 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 Criteria120.0002
BiasArithmetic mean of the errors None
MADMean absolute deviation2.0936
MAPEMean absolute percentage error0.0174
SAESum of the absolute errors127.7096
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Autoliv historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Autoliv

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Autoliv. 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
125.50126.96128.42
Details
Intrinsic
Valuation
LowRealHigh
118.68120.14139.63
Details
Bollinger
Band Projection (param)
LowMiddleHigh
115.45122.40129.35
Details
18 Analysts
Consensus
LowTargetHigh
126.24138.72153.98
Details

Autoliv After-Hype Price Prediction Density Analysis

As far as predicting the price of Autoliv at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Autoliv or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Autoliv, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Autoliv Estimiated After-Hype Price Volatility

In the context of predicting Autoliv's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Autoliv's historical news coverage. Autoliv's after-hype downside and upside margins for the prediction period are 125.50 and 128.42, respectively. We have considered Autoliv's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
126.94
125.50
Downside
126.96
After-hype Price
128.42
Upside
Autoliv is very steady at this time. Analysis and calculation of next after-hype price of Autoliv is based on 3 months time horizon.

Autoliv Stock Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Autoliv is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Autoliv backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Autoliv, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.17 
1.46
  0.33 
  0.26 
9 Events / Month
7 Events / Month
In about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
126.94
126.96
0.02 
74.11  
Notes

Autoliv Hype Timeline

On the 25th of January Autoliv is traded for 126.94. The entity has historical hype elasticity of 0.33, and average elasticity to hype of competition of 0.26. Autoliv is expected to increase in value after the next headline, with the price projected to jump to 126.96 or above. The average volatility of media hype impact on the company the price is about 74.11%. The price increase on the next news is projected to be 0.02%, whereas the daily expected return is presently at 0.17%. The volatility of related hype on Autoliv is about 96.62%, with the expected price after the next announcement by competition of 127.20. The company reported the last year's revenue of 10.39 B. Total Income to common stockholders was 648 M with profit before taxes, overhead, and interest of 2.05 B. Considering the 90-day investment horizon the next expected press release will be in about 9 days.
Check out Historical Fundamental Analysis of Autoliv to cross-verify your projections.
For more information on how to buy Autoliv Stock please use our How to Invest in Autoliv guide.

Autoliv Related Hype Analysis

Having access to credible news sources related to Autoliv's direct competition is more important than ever and may enhance your ability to predict Autoliv's future price movements. Getting to know how Autoliv's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Autoliv may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
BWABorgWarner 0.77 8 per month 1.58  0.06  3.51 (2.90) 8.11 
LKQLKQ Corporation 0.29 9 per month 1.64  0.07  3.36 (2.55) 9.62 
QSQuantumScape Class 0.12 15 per month 0.00 (0.12) 8.02 (7.98) 28.88 
MODModine Manufacturing 4.36 12 per month 0.00 (0.02) 5.82 (7.46) 23.70 
DDSDillards 7.40 11 per month 2.73  0.04  5.05 (4.39) 17.26 
ALSNAllison Transmission Holdings 0.84 8 per month 0.83  0.25  3.31 (1.54) 6.81 
PAGPenske Automotive Group 3.53 12 per month 0.00 (0.11) 2.62 (2.38) 6.07 
VIPSVipshop Holdings Limited(1.29)7 per month 0.00 (0.08) 3.00 (3.66) 13.81 
LADLithia Motors(0.03)9 per month 1.62  0  4.18 (2.97) 9.56 
LEALear Corporation(0.88)8 per month 1.27  0.13  3.50 (2.18) 8.69 

Other Forecasting Options for Autoliv

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

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

Autoliv Market Strength Events

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

Autoliv Risk Indicators

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

Story Coverage note for Autoliv

The number of cover stories for Autoliv depends on current market conditions and Autoliv's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Autoliv is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Autoliv's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Autoliv Short Properties

Autoliv's future price predictability will typically decrease when Autoliv's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Autoliv often depends not only on the future outlook of the potential Autoliv's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Autoliv's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding80.4 M
Cash And Short Term Investments330 M

Additional Tools for Autoliv Stock Analysis

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