APPLE HOSPITALITY Stock Forecast - Naive Prediction
| 48T Stock | EUR 15.09 0.06 0.40% |
The Naive Prediction forecasted value of APPLE HOSPITALITY REIT on the next trading day is expected to be 15.02 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.72. APPLE Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of APPLE HOSPITALITY's historical fundamentals, such as revenue growth or operating cash flow patterns.
APPLE |
APPLE HOSPITALITY Naive Prediction Price Forecast For the 30th of November
Given 90 days horizon, the Naive Prediction forecasted value of APPLE HOSPITALITY REIT on the next trading day is expected to be 15.02 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.07, and the sum of the absolute errors of 11.72.Please note that although there have been many attempts to predict APPLE 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 APPLE HOSPITALITY's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
APPLE HOSPITALITY Stock Forecast Pattern
| Backtest APPLE HOSPITALITY | APPLE HOSPITALITY Price Prediction | Buy or Sell Advice |
APPLE HOSPITALITY Forecasted Value
In the context of forecasting APPLE HOSPITALITY'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. APPLE HOSPITALITY's downside and upside margins for the forecasting period are 13.17 and 16.87, respectively. We have considered APPLE HOSPITALITY'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of APPLE HOSPITALITY stock data series using in forecasting. Note that when a statistical model is used to represent APPLE HOSPITALITY 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 | 115.4046 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1922 |
| MAPE | Mean absolute percentage error | 0.014 |
| SAE | Sum of the absolute errors | 11.7226 |
Predictive Modules for APPLE HOSPITALITY
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as APPLE HOSPITALITY REIT. 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.Other Forecasting Options for APPLE HOSPITALITY
For every potential investor in APPLE, whether a beginner or expert, APPLE HOSPITALITY's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. APPLE Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in APPLE. Basic forecasting techniques help filter out the noise by identifying APPLE HOSPITALITY's price trends.APPLE HOSPITALITY 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 APPLE HOSPITALITY stock to make a market-neutral strategy. Peer analysis of APPLE HOSPITALITY could also be used in its relative valuation, which is a method of valuing APPLE HOSPITALITY by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
APPLE HOSPITALITY REIT 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 APPLE HOSPITALITY'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 APPLE HOSPITALITY's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
APPLE HOSPITALITY Market Strength Events
Market strength indicators help investors to evaluate how APPLE HOSPITALITY stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading APPLE HOSPITALITY shares will generate the highest return on investment. By undertsting and applying APPLE HOSPITALITY stock market strength indicators, traders can identify APPLE HOSPITALITY REIT entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 15.09 | |||
| Day Typical Price | 15.09 | |||
| Price Action Indicator | (0.03) | |||
| Period Momentum Indicator | (0.06) |
APPLE HOSPITALITY Risk Indicators
The analysis of APPLE HOSPITALITY'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 APPLE HOSPITALITY's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting apple 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 | 1.22 | |||
| Semi Deviation | 1.29 | |||
| Standard Deviation | 1.84 | |||
| Variance | 3.38 | |||
| Downside Variance | 2.97 | |||
| Semi Variance | 1.66 | |||
| Expected Short fall | (1.32) |
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 APPLE Stock
When determining whether APPLE HOSPITALITY REIT is a strong investment it is important to analyze APPLE HOSPITALITY'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 APPLE HOSPITALITY's future performance. For an informed investment choice regarding APPLE Stock, refer to the following important reports:Check out Historical Fundamental Analysis of APPLE HOSPITALITY to cross-verify your projections. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.