Vonovia SE Pink Sheet Forecast - 4 Period Moving Average

VNNVF Stock  USD 33.57  1.67  5.24%   
The 4 Period Moving Average forecasted value of Vonovia SE on the next trading day is expected to be 33.21 with a mean absolute deviation of 0.84 and the sum of the absolute errors of 48.60. Vonovia Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Vonovia SE's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Vonovia SE is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Vonovia SE 4 Period Moving Average Price Forecast For the 13th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Vonovia SE on the next trading day is expected to be 33.21 with a mean absolute deviation of 0.84, mean absolute percentage error of 1.36, and the sum of the absolute errors of 48.60.
Please note that although there have been many attempts to predict Vonovia Pink Sheet 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 Vonovia SE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Vonovia SE Pink Sheet Forecast Pattern

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Vonovia SE Forecasted Value

In the context of forecasting Vonovia SE's Pink Sheet 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. Vonovia SE's downside and upside margins for the forecasting period are 30.21 and 36.21, respectively. We have considered Vonovia SE'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.
Market Value
33.57
33.21
Expected Value
36.21
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Vonovia SE pink sheet data series using in forecasting. Note that when a statistical model is used to represent Vonovia SE pink sheet, 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.
AICAkaike Information Criteria112.9067
BiasArithmetic mean of the errors 0.1058
MADMean absolute deviation0.8379
MAPEMean absolute percentage error0.0253
SAESum of the absolute errors48.6
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Vonovia SE. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Vonovia SE and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Vonovia SE

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vonovia SE. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 Vonovia SE'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.
Hype
Prediction
LowEstimatedHigh
30.5733.5736.57
Details
Intrinsic
Valuation
LowRealHigh
25.1628.1636.93
Details
Bollinger
Band Projection (param)
LowMiddleHigh
28.4631.9535.44
Details

Other Forecasting Options for Vonovia SE

For every potential investor in Vonovia, whether a beginner or expert, Vonovia SE's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Vonovia Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Vonovia. Basic forecasting techniques help filter out the noise by identifying Vonovia SE's price trends.

Vonovia SE 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 Vonovia SE pink sheet to make a market-neutral strategy. Peer analysis of Vonovia SE could also be used in its relative valuation, which is a method of valuing Vonovia SE by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Vonovia SE Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Vonovia SE'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 Vonovia SE's current price.

Vonovia SE Market Strength Events

Market strength indicators help investors to evaluate how Vonovia SE pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Vonovia SE shares will generate the highest return on investment. By undertsting and applying Vonovia SE pink sheet market strength indicators, traders can identify Vonovia SE entry and exit signals to maximize returns.

Vonovia SE Risk Indicators

The analysis of Vonovia SE'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 Vonovia SE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vonovia pink sheet 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.
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 Vonovia Pink Sheet

Vonovia SE financial ratios help investors to determine whether Vonovia Pink Sheet 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 Vonovia with respect to the benefits of owning Vonovia SE security.