Clas Ohlson Stock Forecast - 20 Period Moving Average
| CLAS-B Stock | SEK 201.60 4.60 2.34% |
The 20 Period Moving Average forecasted value of Clas Ohlson AB on the next trading day is expected to be 191.76 with a mean absolute deviation of 7.87 and the sum of the absolute errors of 322.59. Clas Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Clas Ohlson stock prices and determine the direction of Clas Ohlson AB's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Clas Ohlson's historical fundamentals, such as revenue growth or operating cash flow patterns.
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Clas Ohlson 20 Period Moving Average Price Forecast For the 4th of December
Given 90 days horizon, the 20 Period Moving Average forecasted value of Clas Ohlson AB on the next trading day is expected to be 191.76 with a mean absolute deviation of 7.87, mean absolute percentage error of 78.44, and the sum of the absolute errors of 322.59.Please note that although there have been many attempts to predict Clas 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 Clas Ohlson's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Clas Ohlson Stock Forecast Pattern
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Clas Ohlson Forecasted Value
In the context of forecasting Clas Ohlson'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. Clas Ohlson's downside and upside margins for the forecasting period are 190.26 and 193.26, respectively. We have considered Clas Ohlson'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Clas Ohlson stock data series using in forecasting. Note that when a statistical model is used to represent Clas Ohlson 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 | 85.7153 |
| Bias | Arithmetic mean of the errors | -7.7306 |
| MAD | Mean absolute deviation | 7.8682 |
| MAPE | Mean absolute percentage error | 0.0424 |
| SAE | Sum of the absolute errors | 322.595 |
Predictive Modules for Clas Ohlson
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Clas Ohlson AB. 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.Other Forecasting Options for Clas Ohlson
For every potential investor in Clas, whether a beginner or expert, Clas Ohlson's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Clas Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Clas. Basic forecasting techniques help filter out the noise by identifying Clas Ohlson's price trends.Clas Ohlson 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 Clas Ohlson stock to make a market-neutral strategy. Peer analysis of Clas Ohlson could also be used in its relative valuation, which is a method of valuing Clas Ohlson by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Clas Ohlson AB 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 Clas Ohlson'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 Clas Ohlson's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Clas Ohlson Market Strength Events
Market strength indicators help investors to evaluate how Clas Ohlson stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Clas Ohlson shares will generate the highest return on investment. By undertsting and applying Clas Ohlson stock market strength indicators, traders can identify Clas Ohlson AB entry and exit signals to maximize returns.
Clas Ohlson Risk Indicators
The analysis of Clas Ohlson'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 Clas Ohlson's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting clas 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 | 1.23 | |||
| Semi Deviation | 1.45 | |||
| Standard Deviation | 1.67 | |||
| Variance | 2.78 | |||
| Downside Variance | 3.03 | |||
| Semi Variance | 2.11 | |||
| Expected Short fall | (1.34) |
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 Clas Stock
Clas Ohlson financial ratios help investors to determine whether Clas 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 Clas with respect to the benefits of owning Clas Ohlson security.