Christian Dior Stock Forecast - 4 Period Moving Average

DIO Stock  EUR 581.00  0.50  0.09%   
The 4 Period Moving Average forecasted value of Christian Dior SE on the next trading day is expected to be 583.00 with a mean absolute deviation of 10.54 and the sum of the absolute errors of 600.92. Christian Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Christian Dior's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Christian Dior SE is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Christian Dior 4 Period Moving Average Price Forecast For the 23rd of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Christian Dior SE on the next trading day is expected to be 583.00 with a mean absolute deviation of 10.54, mean absolute percentage error of 189.17, and the sum of the absolute errors of 600.92.
Please note that although there have been many attempts to predict Christian 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 Christian Dior's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Christian Dior Stock Forecast Pattern

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Christian Dior Forecasted Value

In the context of forecasting Christian Dior'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. Christian Dior's downside and upside margins for the forecasting period are 580.76 and 585.24, respectively. We have considered Christian Dior'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
581.00
580.76
Downside
583.00
Expected Value
585.24
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Christian Dior stock data series using in forecasting. Note that when a statistical model is used to represent Christian Dior 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.
AICAkaike Information Criteria116.0016
BiasArithmetic mean of the errors 1.8307
MADMean absolute deviation10.5425
MAPEMean absolute percentage error0.0186
SAESum of the absolute errors600.9225
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Christian Dior. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Christian Dior SE and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Christian Dior

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Christian Dior SE. 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.
Hype
Prediction
LowEstimatedHigh
578.76581.00583.24
Details
Intrinsic
Valuation
LowRealHigh
572.95575.19639.10
Details

Other Forecasting Options for Christian Dior

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

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

Christian Dior SE 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 Christian Dior'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 Christian Dior's current price.

Christian Dior Market Strength Events

Market strength indicators help investors to evaluate how Christian Dior stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Christian Dior shares will generate the highest return on investment. By undertsting and applying Christian Dior stock market strength indicators, traders can identify Christian Dior SE entry and exit signals to maximize returns.

Christian Dior Risk Indicators

The analysis of Christian Dior'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 Christian Dior's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting christian 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.
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 Christian Stock

Christian Dior financial ratios help investors to determine whether Christian Stock 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 Christian with respect to the benefits of owning Christian Dior security.