W P Stock Forecast - Double Exponential Smoothing

WPY Stock  EUR 54.12  0.62  1.16%   
The Double Exponential Smoothing forecasted value of W P Carey on the next trading day is expected to be 54.57 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 24.08. WPY Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of W P's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for W P works best with periods where there are trends or seasonality.

W P Double Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of W P Carey on the next trading day is expected to be 54.57 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.27, and the sum of the absolute errors of 24.08.
Please note that although there have been many attempts to predict WPY 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 W P's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

W P Stock Forecast Pattern

Backtest W PW P Price PredictionBuy or Sell Advice 

W P Forecasted Value

In the context of forecasting W P'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. W P's downside and upside margins for the forecasting period are 53.63 and 55.51, respectively. We have considered W P'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
54.12
54.57
Expected Value
55.51
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of W P stock data series using in forecasting. Note that when a statistical model is used to represent W P 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0299
MADMean absolute deviation0.4082
MAPEMean absolute percentage error0.0076
SAESum of the absolute errors24.0848
When W P Carey prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any W P Carey trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent W P observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for W P

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as W P Carey. 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
0.000.000.94
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.94
Details
Bollinger
Band Projection (param)
LowMiddleHigh
50.1152.5054.90
Details

Other Forecasting Options for W P

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

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

W P Carey 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 W P'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 W P's current price.

W P Market Strength Events

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

W P Risk Indicators

The analysis of W P'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 W P's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wpy 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.

Currently Active Assets on Macroaxis

Additional Information and Resources on Investing in WPY Stock

When determining whether W P Carey offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of W P's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of W P Carey Stock. Outlined below are crucial reports that will aid in making a well-informed decision on W P Carey Stock:
Check out Historical Fundamental Analysis of W P to cross-verify your projections.
You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Please note, there is a significant difference between W P's value and its price as these two are different measures arrived at by different means. Investors typically determine if W P is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, W P'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.