Host Hotels Stock Forecast - Simple Exponential Smoothing

HST Stock  USD 17.46  0.54  3.00%   
The Simple Exponential Smoothing forecasted value of Host Hotels Resorts on the next trading day is expected to be 17.46 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.17. Host Stock Forecast is based on your current time horizon.
  
At this time, Host Hotels' Inventory Turnover is comparatively stable compared to the past year. Payables Turnover is likely to gain to 7.02 in 2024, whereas Fixed Asset Turnover is likely to drop 0.50 in 2024. . Common Stock Shares Outstanding is likely to drop to about 547.8 M in 2024. Net Income Applicable To Common Shares is likely to drop to about 409.7 M in 2024.
Host Hotels simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Host Hotels Resorts are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Host Hotels Resorts prices get older.

Host Hotels Simple Exponential Smoothing Price Forecast For the 16th of November 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Host Hotels Resorts on the next trading day is expected to be 17.46 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.17.
Please note that although there have been many attempts to predict Host 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 Host Hotels' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Host Hotels Stock Forecast Pattern

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Host Hotels Forecasted Value

In the context of forecasting Host Hotels' 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. Host Hotels' downside and upside margins for the forecasting period are 16.10 and 18.82, respectively. We have considered Host Hotels' 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
17.46
17.46
Expected Value
18.82
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Host Hotels stock data series using in forecasting. Note that when a statistical model is used to represent Host Hotels 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 Criteria115.1877
BiasArithmetic mean of the errors -0.012
MADMean absolute deviation0.1667
MAPEMean absolute percentage error0.0095
SAESum of the absolute errors10.17
This simple exponential smoothing model begins by setting Host Hotels Resorts forecast for the second period equal to the observation of the first period. In other words, recent Host Hotels observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Host Hotels

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Host Hotels Resorts. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Host Hotels' 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
16.1417.5018.86
Details
Intrinsic
Valuation
LowRealHigh
15.7118.9520.31
Details
Bollinger
Band Projection (param)
LowMiddleHigh
17.2417.7418.23
Details
19 Analysts
Consensus
LowTargetHigh
18.5520.3922.63
Details

Other Forecasting Options for Host Hotels

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

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

Host Hotels Resorts 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 Host Hotels' 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 Host Hotels' current price.

Host Hotels Market Strength Events

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

Host Hotels Risk Indicators

The analysis of Host Hotels' 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 Host Hotels' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting host 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Host Stock Analysis

When running Host Hotels' price analysis, check to measure Host Hotels' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Host Hotels is operating at the current time. Most of Host Hotels' value examination focuses on studying past and present price action to predict the probability of Host Hotels' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Host Hotels' price. Additionally, you may evaluate how the addition of Host Hotels to your portfolios can decrease your overall portfolio volatility.