DBV Technologies Stock Forecast - Naive Prediction
| DBVT Stock | USD 4.25 0.28 7.05% |
The Naive Prediction forecasted value of DBV Technologies on the next trading day is expected to be 5.06 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.24. DBV Stock Forecast is based on your current time horizon.
DBV |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the DBV Technologies' financial statements to predict how it will affect future prices.
Cash | First Reported 2011-12-31 | Previous Quarter 66.2 M | Current Value 46.4 M | Quarterly Volatility 5.6 B |
DBV Technologies Naive Prediction Price Forecast For the 4th of December
Given 90 days horizon, the Naive Prediction forecasted value of DBV Technologies on the next trading day is expected to be 5.06 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.24.Please note that although there have been many attempts to predict DBV 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 DBV Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
DBV Technologies Stock Forecast Pattern
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DBV Technologies Forecasted Value
In the context of forecasting DBV Technologies' 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. DBV Technologies' downside and upside margins for the forecasting period are 0.04 and 11.71, respectively. We have considered DBV Technologies' 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of DBV Technologies stock data series using in forecasting. Note that when a statistical model is used to represent DBV Technologies 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 | 114.7736 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1515 |
| MAPE | Mean absolute percentage error | 0.0442 |
| SAE | Sum of the absolute errors | 9.2404 |
Predictive Modules for DBV Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DBV Technologies. 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 DBV Technologies' 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.
Other Forecasting Options for DBV Technologies
For every potential investor in DBV, whether a beginner or expert, DBV Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. DBV Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in DBV. Basic forecasting techniques help filter out the noise by identifying DBV Technologies' price trends.View DBV Technologies Related Equities
| Risk & Return | Correlation |
DBV Technologies 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 DBV Technologies' 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 DBV Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
DBV Technologies Market Strength Events
Market strength indicators help investors to evaluate how DBV Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DBV Technologies shares will generate the highest return on investment. By undertsting and applying DBV Technologies stock market strength indicators, traders can identify DBV Technologies entry and exit signals to maximize returns.
DBV Technologies Risk Indicators
The analysis of DBV Technologies' 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 DBV Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dbv 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 | 4.13 | |||
| Semi Deviation | 4.61 | |||
| Standard Deviation | 6.54 | |||
| Variance | 42.81 | |||
| Downside Variance | 24.38 | |||
| Semi Variance | 21.23 | |||
| Expected Short fall | (5.27) |
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.
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Additional Tools for DBV Stock Analysis
When running DBV Technologies' price analysis, check to measure DBV Technologies' 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 DBV Technologies is operating at the current time. Most of DBV Technologies' value examination focuses on studying past and present price action to predict the probability of DBV Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DBV Technologies' price. Additionally, you may evaluate how the addition of DBV Technologies to your portfolios can decrease your overall portfolio volatility.