Renault SA Pink Sheet Forecast - Simple Regression

RNSDF Stock  USD 48.60  5.67  13.21%   
The Simple Regression forecasted value of Renault SA on the next trading day is expected to be 41.22 with a mean absolute deviation of 2.79 and the sum of the absolute errors of 170.15. Renault Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Renault SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Renault SA 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.

Renault SA Simple Regression Price Forecast For the 21st of December

Given 90 days horizon, the Simple Regression forecasted value of Renault SA on the next trading day is expected to be 41.22 with a mean absolute deviation of 2.79, mean absolute percentage error of 15.07, and the sum of the absolute errors of 170.15.
Please note that although there have been many attempts to predict Renault 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 Renault SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Renault SA Pink Sheet Forecast Pattern

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Renault SA Forecasted Value

In the context of forecasting Renault 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. Renault SA's downside and upside margins for the forecasting period are 37.26 and 45.18, respectively. We have considered Renault 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.
Market Value
48.60
41.22
Expected Value
45.18
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 Renault SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Renault 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.
AICAkaike Information Criteria120.8231
BiasArithmetic mean of the errors None
MADMean absolute deviation2.7893
MAPEMean absolute percentage error0.0613
SAESum of the absolute errors170.1479
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 Renault SA 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 Renault 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 Renault 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 Renault 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.
Hype
Prediction
LowEstimatedHigh
44.6448.6052.56
Details
Intrinsic
Valuation
LowRealHigh
43.8447.8051.76
Details
Bollinger
Band Projection (param)
LowMiddleHigh
39.3242.6746.03
Details

Other Forecasting Options for Renault SA

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

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

Renault 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 Renault 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 Renault SA's current price.

Renault SA Market Strength Events

Market strength indicators help investors to evaluate how Renault 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 Renault SA shares will generate the highest return on investment. By undertsting and applying Renault SA pink sheet market strength indicators, traders can identify Renault SA entry and exit signals to maximize returns.

Renault SA Risk Indicators

The analysis of Renault 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 Renault SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting renault 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.
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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Other Information on Investing in Renault Pink Sheet

Renault SA financial ratios help investors to determine whether Renault 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 Renault with respect to the benefits of owning Renault SA security.