Alexander Forbes Stock Forecast - Simple Exponential Smoothing
| AFH Stock | 830.00 76.00 10.08% |
The Simple Exponential Smoothing forecasted value of Alexander Forbes Grp on the next trading day is expected to be 824.16 with a mean absolute deviation of 13.93 and the sum of the absolute errors of 836.00. Alexander Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Alexander Forbes stock prices and determine the direction of Alexander Forbes Grp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Alexander Forbes' historical fundamentals, such as revenue growth or operating cash flow patterns.
Alexander |
Alexander Forbes Simple Exponential Smoothing Price Forecast For the 24th of December
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Alexander Forbes Grp on the next trading day is expected to be 824.16 with a mean absolute deviation of 13.93, mean absolute percentage error of 337.99, and the sum of the absolute errors of 836.00.Please note that although there have been many attempts to predict Alexander 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 Alexander Forbes' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Alexander Forbes Stock Forecast Pattern
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Alexander Forbes Forecasted Value
In the context of forecasting Alexander Forbes' 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. Alexander Forbes' downside and upside margins for the forecasting period are 821.52 and 826.80, respectively. We have considered Alexander Forbes' 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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Alexander Forbes stock data series using in forecasting. Note that when a statistical model is used to represent Alexander Forbes 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 | 122.0956 |
| Bias | Arithmetic mean of the errors | -2.6502 |
| MAD | Mean absolute deviation | 13.9333 |
| MAPE | Mean absolute percentage error | 0.0191 |
| SAE | Sum of the absolute errors | 836.0006 |
Predictive Modules for Alexander Forbes
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alexander Forbes Grp. 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 Alexander Forbes
For every potential investor in Alexander, whether a beginner or expert, Alexander Forbes' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Alexander Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Alexander. Basic forecasting techniques help filter out the noise by identifying Alexander Forbes' price trends.Alexander Forbes 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 Alexander Forbes stock to make a market-neutral strategy. Peer analysis of Alexander Forbes could also be used in its relative valuation, which is a method of valuing Alexander Forbes by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Alexander Forbes Grp 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 Alexander Forbes' 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 Alexander Forbes' current price.| Cycle Indicators | ||
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Alexander Forbes Market Strength Events
Market strength indicators help investors to evaluate how Alexander Forbes stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Alexander Forbes shares will generate the highest return on investment. By undertsting and applying Alexander Forbes stock market strength indicators, traders can identify Alexander Forbes Grp entry and exit signals to maximize returns.
Alexander Forbes Risk Indicators
The analysis of Alexander Forbes' 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 Alexander Forbes' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alexander 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 | 2.26 | |||
| Semi Deviation | 2.34 | |||
| Standard Deviation | 3.01 | |||
| Variance | 9.04 | |||
| Downside Variance | 7.31 | |||
| Semi Variance | 5.46 | |||
| Expected Short fall | (2.70) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Alexander Stock
Alexander Forbes financial ratios help investors to determine whether Alexander 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 Alexander with respect to the benefits of owning Alexander Forbes security.