Immofonds Stock Forecast - 8 Period Moving Average
| IM Stock | CHF 554.00 6.00 1.07% |
The 8 Period Moving Average forecasted value of Immofonds on the next trading day is expected to be 558.00 with a mean absolute deviation of 4.85 and the sum of the absolute errors of 257.00. Immofonds Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Immofonds stock prices and determine the direction of Immofonds's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Immofonds' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out fundamental analysis of Immofonds to check your projections. Immofonds |
Most investors in Immofonds 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 Immofonds' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Immofonds' price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Immofonds is based on an artificially constructed time series of Immofonds daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Immofonds 8 Period Moving Average Price Forecast For the 18th of May 2024
Given 90 days horizon, the 8 Period Moving Average forecasted value of Immofonds on the next trading day is expected to be 558.00 with a mean absolute deviation of 4.85, mean absolute percentage error of 40.15, and the sum of the absolute errors of 257.00.Please note that although there have been many attempts to predict Immofonds 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 Immofonds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Immofonds Stock Forecast Pattern
Immofonds Forecasted Value
In the context of forecasting Immofonds' 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. Immofonds' downside and upside margins for the forecasting period are 557.15 and 558.85, respectively. We have considered Immofonds' 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Immofonds stock data series using in forecasting. Note that when a statistical model is used to represent Immofonds 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 | 107.1 |
| Bias | Arithmetic mean of the errors | -1.1698 |
| MAD | Mean absolute deviation | 4.8491 |
| MAPE | Mean absolute percentage error | 0.0086 |
| SAE | Sum of the absolute errors | 257.0 |
Predictive Modules for Immofonds
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Immofonds. 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 Immofonds' 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 Immofonds
For every potential investor in Immofonds, whether a beginner or expert, Immofonds' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Immofonds Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Immofonds. Basic forecasting techniques help filter out the noise by identifying Immofonds' price trends.Immofonds 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 Immofonds stock to make a market-neutral strategy. Peer analysis of Immofonds could also be used in its relative valuation, which is a method of valuing Immofonds by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Immofonds 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 Immofonds' 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 Immofonds' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Immofonds Market Strength Events
Market strength indicators help investors to evaluate how Immofonds stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Immofonds shares will generate the highest return on investment. By undertsting and applying Immofonds stock market strength indicators, traders can identify Immofonds entry and exit signals to maximize returns.
Immofonds Risk Indicators
The analysis of Immofonds' 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 Immofonds' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting immofonds 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 | 0.6067 | |||
| Semi Deviation | 0.6697 | |||
| Standard Deviation | 0.8309 | |||
| Variance | 0.6904 | |||
| Downside Variance | 0.7847 | |||
| Semi Variance | 0.4485 | |||
| Expected Short fall | (0.94) |
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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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.| C | Citigroup | |
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| MSFT | Microsoft |
Check out fundamental analysis of Immofonds to check your projections. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Complementary Tools for Immofonds Stock analysis
When running Immofonds' price analysis, check to measure Immofonds' 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 Immofonds is operating at the current time. Most of Immofonds' value examination focuses on studying past and present price action to predict the probability of Immofonds' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Immofonds' price. Additionally, you may evaluate how the addition of Immofonds to your portfolios can decrease your overall portfolio volatility.
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| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |