Examobile Stock Forecast - Naive Prediction
| EXA Stock | 3.60 0.00 0.00% |
The Naive Prediction forecasted value of Examobile SA on the next trading day is expected to be 3.82 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.43. Examobile Stock Forecast is based on your current time horizon.
Examobile |
Examobile Naive Prediction Price Forecast For the 22nd of December
Given 90 days horizon, the Naive Prediction forecasted value of Examobile SA on the next trading day is expected to be 3.82 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.03, and the sum of the absolute errors of 7.43.Please note that although there have been many attempts to predict Examobile 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 Examobile's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Examobile Stock Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Examobile stock data series using in forecasting. Note that when a statistical model is used to represent Examobile 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 | 114.6268 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1217 |
| MAPE | Mean absolute percentage error | 0.0335 |
| SAE | Sum of the absolute errors | 7.4258 |
Predictive Modules for Examobile
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Examobile SA. 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 Examobile'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.
Examobile 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 Examobile stock to make a market-neutral strategy. Peer analysis of Examobile could also be used in its relative valuation, which is a method of valuing Examobile by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Examobile Market Strength Events
Market strength indicators help investors to evaluate how Examobile stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Examobile shares will generate the highest return on investment. By undertsting and applying Examobile stock market strength indicators, traders can identify Examobile SA entry and exit signals to maximize returns.
Examobile Risk Indicators
The analysis of Examobile'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 Examobile's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting examobile 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 | 2.86 | |||
| Semi Deviation | 3.31 | |||
| Standard Deviation | 4.76 | |||
| Variance | 22.67 | |||
| Downside Variance | 19.42 | |||
| Semi Variance | 10.93 | |||
| Expected Short fall | (4.60) |
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 Examobile
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 Examobile 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 Examobile will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Examobile could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Examobile 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 Examobile - 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 Examobile SA to buy it.
The correlation of Examobile 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 Examobile moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Examobile SA 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 Examobile 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.Additional Tools for Examobile Stock Analysis
When running Examobile's price analysis, check to measure Examobile'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 Examobile is operating at the current time. Most of Examobile's value examination focuses on studying past and present price action to predict the probability of Examobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Examobile's price. Additionally, you may evaluate how the addition of Examobile to your portfolios can decrease your overall portfolio volatility.