Accor S Stock Forecast - Polynomial Regression
| AC Stock | EUR 42.28 0.58 1.39% |
The Polynomial Regression forecasted value of Accor S A on the next trading day is expected to be 40.14 with a mean absolute deviation of 0.87 and the sum of the absolute errors of 53.01. Accor Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Accor S stock prices and determine the direction of Accor S A's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Accor S's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Accor S to cross-verify your projections. Accor |
Most investors in Accor S cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Accor S's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Accor S's price structures and extracts relationships that further increase the generated results' accuracy.
Accor S polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Accor S A as well as the accuracy indicators are determined from the period prices. Accor S Polynomial Regression Price Forecast For the 29th of April
Given 90 days horizon, the Polynomial Regression forecasted value of Accor S A on the next trading day is expected to be 40.14 with a mean absolute deviation of 0.87, mean absolute percentage error of 1.09, and the sum of the absolute errors of 53.01.Please note that although there have been many attempts to predict Accor 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 Accor S's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Accor S Stock Forecast Pattern
| Backtest Accor S | Accor S Price Prediction | Buy or Sell Advice |
Accor S Forecasted Value
In the context of forecasting Accor S'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. Accor S's downside and upside margins for the forecasting period are 38.77 and 41.51, respectively. We have considered Accor S'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 Accor S stock data series using in forecasting. Note that when a statistical model is used to represent Accor S 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 | 118.1996 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.869 |
| MAPE | Mean absolute percentage error | 0.0216 |
| SAE | Sum of the absolute errors | 53.0092 |
Predictive Modules for Accor S
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Accor S A. 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 Accor S'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 Accor S
For every potential investor in Accor, whether a beginner or expert, Accor S's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Accor Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Accor. Basic forecasting techniques help filter out the noise by identifying Accor S's price trends.Accor S 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 Accor S stock to make a market-neutral strategy. Peer analysis of Accor S could also be used in its relative valuation, which is a method of valuing Accor S by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Accor S A 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 Accor S'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 Accor S's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Accor S Market Strength Events
Market strength indicators help investors to evaluate how Accor S stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Accor S shares will generate the highest return on investment. By undertsting and applying Accor S stock market strength indicators, traders can identify Accor S A entry and exit signals to maximize returns.
Accor S Risk Indicators
The analysis of Accor S'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 Accor S's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting accor 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 | 0.9251 | |||
| Semi Deviation | 0.7905 | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.85 | |||
| Downside Variance | 1.27 | |||
| Semi Variance | 0.6249 | |||
| Expected Short fall | (0.99) |
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.
Pair Trading with Accor S
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Accor S position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Accor S will appreciate offsetting losses from the drop in the long position's value.Moving together with Accor Stock
| 0.67 | MLHMC | Hotel Majestic Cannes | PairCorr |
| 0.83 | ALLHB | Les Hotels Bav | PairCorr |
Moving against Accor Stock
| 0.72 | FCMC | Ferm Casino Mun | PairCorr |
| 0.43 | ORA | Orange SA | PairCorr |
The ability to find closely correlated positions to Accor S could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Accor S when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Accor S - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Accor S A to buy it.
The correlation of Accor S is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Accor S moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Accor S A moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Accor S can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Accor S to cross-verify your projections. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Complementary Tools for Accor Stock analysis
When running Accor S's price analysis, check to measure Accor S's 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 Accor S is operating at the current time. Most of Accor S's value examination focuses on studying past and present price action to predict the probability of Accor S's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Accor S's price. Additionally, you may evaluate how the addition of Accor S to your portfolios can decrease your overall portfolio volatility.
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