Ferrovial Se Stock Price Prediction
| FER Stock | 67.04 0.37 0.55% |
Momentum 61
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.316 | EPS Estimate Current Year 0.9855 | EPS Estimate Next Year 1.2258 | Wall Street Target Price 71.1467 | Quarterly Revenue Growth 0.047 |
Using Ferrovial hype-based prediction, you can estimate the value of Ferrovial SE from the perspective of Ferrovial response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Ferrovial using Ferrovial's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Ferrovial using crowd psychology based on the activity and movement of Ferrovial's stock price.
Ferrovial Short Interest
An investor who is long Ferrovial may also wish to track short interest. As short interest increases, investors should be becoming more worried about Ferrovial and may potentially protect profits, hedge Ferrovial with its derivative instruments, or be ready for some potential downside.
200 Day MA 56.771 | Short Percent 0.0131 | Short Ratio 1.48 | Shares Short Prior Month 2.4 M | 50 Day MA 65.6382 |
Ferrovial SE Hype to Price Pattern
Investor biases related to Ferrovial's public news can be used to forecast risks associated with an investment in Ferrovial. The trend in average sentiment can be used to explain how an investor holding Ferrovial can time the market purely based on public headlines and social activities around Ferrovial SE. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Ferrovial's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Ferrovial.
Ferrovial Implied Volatility | 0.5 |
Ferrovial's implied volatility exposes the market's sentiment of Ferrovial SE stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Ferrovial'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 Ferrovial stock will not fluctuate a lot when Ferrovial's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Ferrovial to buy its stock at a price that has no basis in reality. In that case, they are not buying Ferrovial because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Ferrovial after-hype prediction price | USD 67.37 |
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.
Prediction based on Rule 16 of the current Ferrovial contract
Based on the Rule 16, the options market is currently suggesting that Ferrovial SE will have an average daily up or down price movement of about 0.0313% per day over the life of the 2026-03-20 option contract. With Ferrovial trading at USD 67.04, that is roughly USD 0.021 . If you think that the market is fully incorporating Ferrovial's daily price movement you should consider acquiring Ferrovial SE options at the current volatility level of 0.5%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Ferrovial | Build AI portfolio with Ferrovial Stock |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ferrovial'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.
Ferrovial After-Hype Price Prediction Density Analysis
As far as predicting the price of Ferrovial 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 Ferrovial 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 Ferrovial, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Ferrovial Estimiated After-Hype Price Volatility
In the context of predicting Ferrovial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ferrovial's historical news coverage. Ferrovial's after-hype downside and upside margins for the prediction period are 66.11 and 68.63, respectively. We have considered Ferrovial'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
Ferrovial is very steady at this time. Analysis and calculation of next after-hype price of Ferrovial SE is based on 3 months time horizon.
Ferrovial Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Ferrovial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ferrovial 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 Ferrovial, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.06 | 1.26 | 0.04 | 0.03 | 8 Events / Month | 8 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
67.04 | 67.37 | 0.06 |
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Ferrovial Hype Timeline
On the 24th of January Ferrovial SE is traded for 67.04. The entity has historical hype elasticity of -0.04, and average elasticity to hype of competition of 0.03. Ferrovial is forecasted to decline in value after the next headline, with the price expected to drop to 67.37. The average volatility of media hype impact on the company price is over 100%. The price depreciation on the next news is expected to be -0.06%, whereas the daily expected return is currently at 0.06%. The volatility of related hype on Ferrovial is about 229.51%, with the expected price after the next announcement by competition of 67.07. About 35.0% of the company shares are held by company insiders. The company recorded earning per share (EPS) of 5.54. Ferrovial SE last dividend was issued on the 5th of December 2025. The entity had 1024:1000 split on the 4th of November 2014. Considering the 90-day investment horizon the next forecasted press release will be in about 8 days. Check out Ferrovial Basic Forecasting Models to cross-verify your projections.Ferrovial Related Hype Analysis
Having access to credible news sources related to Ferrovial's direct competition is more important than ever and may enhance your ability to predict Ferrovial's future price movements. Getting to know how Ferrovial'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 Ferrovial may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GWW | WW Grainger | 0.78 | 11 per month | 1.01 | 0.05 | 2.85 | (1.69) | 7.07 | |
| FERG | Ferguson Plc | (1.21) | 9 per month | 2.02 | 0.01 | 2.77 | (2.56) | 11.07 | |
| AME | Ametek Inc | (0.31) | 9 per month | 0.65 | 0.13 | 2.39 | (1.39) | 9.36 | |
| DAL | Delta Air Lines | 1.23 | 6 per month | 1.99 | 0.04 | 4.16 | (4.22) | 9.73 | |
| PAYX | Paychex | (0.21) | 18 per month | 0.00 | (0.22) | 2.32 | (3.15) | 6.15 | |
| WCN | Waste Connections | (0.76) | 9 per month | 0.00 | (0.08) | 1.99 | (1.90) | 6.00 | |
| PCAR | PACCAR Inc | 4.38 | 9 per month | 0.74 | 0.18 | 3.68 | (1.63) | 7.16 | |
| SYM | Symbotic | (1.18) | 10 per month | 6.45 | 0.0002 | 9.37 | (10.11) | 60.87 | |
| FAST | Fastenal Company | 0.65 | 10 per month | 1.15 | 0.01 | 2.00 | (1.85) | 5.49 | |
| ROK | Rockwell Automation | 2.12 | 8 per month | 1.22 | 0.13 | 2.72 | (1.91) | 8.52 |
Ferrovial Additional Predictive Modules
Most predictive techniques to examine Ferrovial price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ferrovial using various technical indicators. When you analyze Ferrovial 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Ferrovial Predictive Indicators
The successful prediction of Ferrovial stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Ferrovial SE, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Ferrovial based on analysis of Ferrovial hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Ferrovial's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Ferrovial's related companies. | 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.005656 | 0.004421 | 0.005085 | 0.00483 | Price To Sales Ratio | 2.82 | 3.21 | 2.89 | 3.04 |
Pair Trading with Ferrovial
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ferrovial position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ferrovial will appreciate offsetting losses from the drop in the long position's value.Moving together with Ferrovial Stock
Moving against Ferrovial Stock
| 0.7 | 600545 | Saurer Intelligent | PairCorr |
| 0.68 | NCRA | Nocera Inc | PairCorr |
| 0.64 | 603176 | Huitong Construction | PairCorr |
| 0.6 | 300732 | Henan Provincial Com | PairCorr |
| 0.59 | 601789 | Ningbo Construction | PairCorr |
| 0.58 | 600512 | Tengda Construction | PairCorr |
The ability to find closely correlated positions to Ferrovial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ferrovial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Ferrovial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Ferrovial SE to buy it.
The correlation of Ferrovial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ferrovial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ferrovial SE moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ferrovial can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Ferrovial Stock Analysis
When running Ferrovial's price analysis, check to measure Ferrovial'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 Ferrovial is operating at the current time. Most of Ferrovial's value examination focuses on studying past and present price action to predict the probability of Ferrovial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ferrovial's price. Additionally, you may evaluate how the addition of Ferrovial to your portfolios can decrease your overall portfolio volatility.