Segro Plc Pink Sheet Forecast - 4 Period Moving Average

SEGXF Stock  USD 10.21  0.06  0.58%   
The 4 Period Moving Average forecasted value of Segro Plc on the next trading day is expected to be 10.16 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 14.63. Segro Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Segro Plc's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Segro Plc 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.

Segro Plc 4 Period Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Segro Plc on the next trading day is expected to be 10.16 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.10, and the sum of the absolute errors of 14.63.
Please note that although there have been many attempts to predict Segro 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 Segro Plc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Segro Plc Pink Sheet Forecast Pattern

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Segro Plc Forecasted Value

In the context of forecasting Segro Plc'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. Segro Plc's downside and upside margins for the forecasting period are 7.89 and 12.43, respectively. We have considered Segro Plc'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
10.21
10.16
Expected Value
12.43
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 Segro Plc pink sheet data series using in forecasting. Note that when a statistical model is used to represent Segro Plc 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 Criteria108.4837
BiasArithmetic mean of the errors 0.0529
MADMean absolute deviation0.2567
MAPEMean absolute percentage error0.0243
SAESum of the absolute errors14.6325
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 Segro Plc. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Segro Plc and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Segro Plc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Segro Plc. 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 Segro Plc'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
7.9410.2112.48
Details
Intrinsic
Valuation
LowRealHigh
6.568.8311.10
Details

Other Forecasting Options for Segro Plc

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

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

Segro Plc 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 Segro Plc'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 Segro Plc's current price.

Segro Plc Market Strength Events

Market strength indicators help investors to evaluate how Segro Plc 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 Segro Plc shares will generate the highest return on investment. By undertsting and applying Segro Plc pink sheet market strength indicators, traders can identify Segro Plc entry and exit signals to maximize returns.

Segro Plc Risk Indicators

The analysis of Segro Plc'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 Segro Plc's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting segro 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 Segro Pink Sheet

Segro Plc financial ratios help investors to determine whether Segro 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 Segro with respect to the benefits of owning Segro Plc security.