VINCI SA Pink Sheet Forecast - Polynomial Regression
| VCISF Stock | USD 107.39 6.36 6.30% |
The Polynomial Regression forecasted value of VINCI SA on the next trading day is expected to be 105.63 with a mean absolute deviation of 1.27 and the sum of the absolute errors of 78.94. VINCI Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of VINCI SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
VINCI |
VINCI SA Polynomial Regression Price Forecast For the 13th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of VINCI SA on the next trading day is expected to be 105.63 with a mean absolute deviation of 1.27, mean absolute percentage error of 2.77, and the sum of the absolute errors of 78.94.Please note that although there have been many attempts to predict VINCI Pink Sheet 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 VINCI SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
VINCI SA Pink Sheet Forecast Pattern
| Backtest VINCI SA | VINCI SA Price Prediction | Buy or Sell Advice |
VINCI SA Forecasted Value
In the context of forecasting VINCI SA's Pink Sheet 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. VINCI SA's downside and upside margins for the forecasting period are 104.16 and 107.10, respectively. We have considered VINCI SA'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of VINCI SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent VINCI SA pink sheet, 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 | 120.9658 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.2732 |
| MAPE | Mean absolute percentage error | 0.0117 |
| SAE | Sum of the absolute errors | 78.9364 |
Predictive Modules for VINCI SA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VINCI SA. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 VINCI SA'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.
Other Forecasting Options for VINCI SA
For every potential investor in VINCI, whether a beginner or expert, VINCI SA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. VINCI Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in VINCI. Basic forecasting techniques help filter out the noise by identifying VINCI SA's price trends.VINCI SA 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 VINCI SA pink sheet to make a market-neutral strategy. Peer analysis of VINCI SA could also be used in its relative valuation, which is a method of valuing VINCI SA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
VINCI SA Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of VINCI SA'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 VINCI SA's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
VINCI SA Market Strength Events
Market strength indicators help investors to evaluate how VINCI SA pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading VINCI SA shares will generate the highest return on investment. By undertsting and applying VINCI SA pink sheet market strength indicators, traders can identify VINCI SA entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.06 | |||
| Day Median Price | 107.39 | |||
| Day Typical Price | 107.39 | |||
| Price Action Indicator | 3.18 | |||
| Period Momentum Indicator | 6.36 |
VINCI SA Risk Indicators
The analysis of VINCI SA'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 VINCI SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vinci pink sheet 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 | 0.7716 | |||
| Semi Deviation | 1.26 | |||
| Standard Deviation | 2.27 | |||
| Variance | 5.17 | |||
| Downside Variance | 13.38 | |||
| Semi Variance | 1.6 | |||
| Expected Short fall | (2.87) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in VINCI Pink Sheet
VINCI SA financial ratios help investors to determine whether VINCI Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in VINCI with respect to the benefits of owning VINCI SA security.