Digital Realty Stock Forecast - Polynomial Regression | FQI.F

Digital Realty Stock Forecast - Polynomial Regression

FQI Stock  EUR 171.24  0.22  0.13%   
The Polynomial Regression forecasted value of Digital Realty Trust on the next trading day is expected to be 166.94 with a mean absolute deviation of 2.41 and the sum of the absolute errors of 146.92. Digital Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Digital Realty's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Digital Realty polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Digital Realty Trust as well as the accuracy indicators are determined from the period prices.

Digital Realty Polynomial Regression Price Forecast For the 24th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Digital Realty Trust on the next trading day is expected to be 166.94 with a mean absolute deviation of 2.41, mean absolute percentage error of 11.10, and the sum of the absolute errors of 146.92.
Please note that although there have been many attempts to predict Digital 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 Digital Realty's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Digital Realty Stock Forecast Pattern

JavaScript chart by amCharts 3.21.15Oct 8Oct 16Oct 24Nov 1Nov 11Nov 19Nov 27Dec 5Dec 13Dec 23150160170180
JavaScript chart by amCharts 3.21.15Digital Realty Trust Digital Realty Trust forecast
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Digital Realty Forecasted Value

In the context of forecasting Digital Realty's 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. Digital Realty's downside and upside margins for the forecasting period are 165.23 and 168.65, respectively. We have considered Digital Realty'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
171.24
165.23
Downside
166.94
Expected Value
168.65
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Digital Realty stock data series using in forecasting. Note that when a statistical model is used to represent Digital Realty 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.
AICAkaike Information Criteria120.5175
BiasArithmetic mean of the errors None
MADMean absolute deviation2.4086
MAPEMean absolute percentage error0.0145
SAESum of the absolute errors146.9238
A single variable polynomial regression model attempts to put a curve through the Digital Realty historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Digital Realty

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Digital Realty Trust. 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.
Hype
Prediction
LowEstimatedHigh
169.53171.24172.95
Details
Intrinsic
Valuation
LowRealHigh
154.12197.63199.34
Details

Other Forecasting Options for Digital Realty

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

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

Digital Realty Trust 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 Digital Realty'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 Digital Realty's current price.

Digital Realty Market Strength Events

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

Digital Realty Risk Indicators

The analysis of Digital Realty'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 Digital Realty's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting digital 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.
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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Additional Information and Resources on Investing in Digital Stock

When determining whether Digital Realty Trust is a strong investment it is important to analyze Digital Realty's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Digital Realty's future performance. For an informed investment choice regarding Digital Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Digital Realty to cross-verify your projections.
You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Please note, there is a significant difference between Digital Realty's value and its price as these two are different measures arrived at by different means. Investors typically determine if Digital Realty is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Digital Realty's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.