Ferrari NV Stock Forward View - Simple Regression
| 2FE Stock | EUR 314.80 1.80 0.58% |
Ferrari Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Ferrari NV's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 20th of February 2026, the relative strength index (RSI) of Ferrari NV's share price is approaching 34. This suggests that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Ferrari NV, making its price go up or down. Momentum 34
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth (0) | Wall Street Target Price 229.44 | Quarterly Revenue Growth 0.038 |
Using Ferrari NV hype-based prediction, you can estimate the value of Ferrari NV from the perspective of Ferrari NV response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Ferrari NV on the next trading day is expected to be 290.94 with a mean absolute deviation of 11.80 and the sum of the absolute errors of 720.01. Ferrari NV after-hype prediction price | EUR 314.48 |
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.
Ferrari |
Ferrari NV Additional Predictive Modules
Most predictive techniques to examine Ferrari price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ferrari using various technical indicators. When you analyze Ferrari 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 |
Ferrari NV Simple Regression Price Forecast For the 21st of February
Given 90 days horizon, the Simple Regression forecasted value of Ferrari NV on the next trading day is expected to be 290.94 with a mean absolute deviation of 11.80, mean absolute percentage error of 200.19, and the sum of the absolute errors of 720.01.Please note that although there have been many attempts to predict Ferrari Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ferrari NV's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ferrari NV Stock Forecast Pattern
| Backtest Ferrari NV | Ferrari NV Price Prediction | Research Analysis |
Ferrari NV Forecasted Value
In the context of forecasting Ferrari NV'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. Ferrari NV's downside and upside margins for the forecasting period are 288.76 and 293.12, respectively. We have considered Ferrari NV'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.
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 Ferrari NV stock data series using in forecasting. Note that when a statistical model is used to represent Ferrari NV 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.| AIC | Akaike Information Criteria | 123.4098 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 11.8034 |
| MAPE | Mean absolute percentage error | 0.0386 |
| SAE | Sum of the absolute errors | 720.0087 |
Predictive Modules for Ferrari NV
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ferrari NV. 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.Ferrari NV After-Hype Price Density Analysis
As far as predicting the price of Ferrari NV 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 Ferrari NV 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 Ferrari NV, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Ferrari NV Estimiated After-Hype Price Volatility
In the context of predicting Ferrari NV's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ferrari NV's historical news coverage. Ferrari NV's after-hype downside and upside margins for the prediction period are 312.31 and 316.65, respectively. We have considered Ferrari NV'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Ferrari NV is very steady at this time. Analysis and calculation of next after-hype price of Ferrari NV is based on 3 months time horizon.
Ferrari NV Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Ferrari NV is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ferrari NV 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 Ferrari NV, 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 |
0.07 | 2.18 | 0.32 | 0.03 | 8 Events / Month | 1 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
314.80 | 314.48 | 0.10 |
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Ferrari NV Hype Timeline
Ferrari NV is presently traded for 314.80on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.32, and average elasticity to hype of competition of 0.03. Ferrari is estimated to decline in value after the next headline, with the price expected to drop to 314.48. The average volatility of media hype impact on the company price is about 48.44%. The price reduction on the next news is expected to be -0.1%, whereas the daily expected return is presently at -0.07%. The volatility of related hype on Ferrari NV is about 506.98%, with the expected price after the next announcement by competition of 314.83. About 31.0% of the company shares are owned by insiders or employees . The company recorded earning per share (EPS) of 8.97. Ferrari NV last dividend was issued on the 23rd of April 2025. Assuming the 90 days horizon the next estimated press release will be in about 8 days. Check out Historical Fundamental Analysis of Ferrari NV to cross-verify your projections.Ferrari NV Related Hype Analysis
Having access to credible news sources related to Ferrari NV's direct competition is more important than ever and may enhance your ability to predict Ferrari NV's future price movements. Getting to know how Ferrari NV'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 Ferrari NV may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PQ90 | BK MANDIRI ADR20 | 0.00 | 0 per month | 3.94 | 0.04 | 11.49 | (9.09) | 42.92 | |
| PQ9 | PT Bank Mandiri | 0.04 | 1 per month | 5.73 | 0.05 | 17.39 | (14.29) | 40.26 | |
| BYRA | PT Bank Rakyat | 0.00 | 0 per month | 4.07 | 0.03 | 11.11 | (10.00) | 26.67 | |
| 6GAA | Grupo Aval Acciones | (0.04) | 3 per month | 2.22 | (0.01) | 5.31 | (4.10) | 20.33 | |
| KSF1 | SHINHAN FINL ADR1 | 0.00 | 0 per month | 1.89 | 0.12 | 5.33 | (3.37) | 11.07 | |
| KBIA | KB Financial Group | (0.50) | 9 per month | 1.69 | 0.13 | 4.81 | (3.45) | 11.24 | |
| 2WGA | WOORI FIN GRP | 2.80 | 3 per month | 2.06 | 0.16 | 5.88 | (2.92) | 19.36 | |
| LFL0 | LATAM Airlines Group | 2.00 | 5 per month | 2.33 | 0.15 | 4.21 | (4.55) | 13.43 | |
| BSA | Banco Santander Chile | (0.40) | 7 per month | 2.82 | 0.06 | 4.38 | (4.51) | 14.55 | |
| G4RA | Banco de Chile | 0.40 | 9 per month | 2.34 | 0.07 | 4.94 | (4.27) | 10.60 |
Other Forecasting Options for Ferrari NV
For every potential investor in Ferrari, whether a beginner or expert, Ferrari NV's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ferrari Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ferrari. Basic forecasting techniques help filter out the noise by identifying Ferrari NV's price trends.Ferrari NV 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 Ferrari NV stock to make a market-neutral strategy. Peer analysis of Ferrari NV could also be used in its relative valuation, which is a method of valuing Ferrari NV by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ferrari NV Market Strength Events
Market strength indicators help investors to evaluate how Ferrari NV stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ferrari NV shares will generate the highest return on investment. By undertsting and applying Ferrari NV stock market strength indicators, traders can identify Ferrari NV entry and exit signals to maximize returns.
Ferrari NV Risk Indicators
The analysis of Ferrari NV'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 Ferrari NV's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ferrari 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.
| Mean Deviation | 1.46 | |||
| Standard Deviation | 2.12 | |||
| Variance | 4.52 |
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 Ferrari NV
The number of cover stories for Ferrari NV depends on current market conditions and Ferrari NV's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Ferrari NV 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 Ferrari NV's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of Ferrari NV to cross-verify your projections. For more detail on how to invest in Ferrari Stock please use our How to Invest in Ferrari NV guide.You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.