Host Hotels Stock Forecast - Naive Prediction

HST Stock  USD 17.73  0.21  1.17%   
The Naive Prediction forecasted value of Host Hotels Resorts on the next trading day is expected to be 17.55 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.86. Host Stock Forecast is based on your current time horizon.
At this time, The relative strength index (RSI) of Host Hotels' share price is at 54. This usually indicates that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Host Hotels, making its price go up or down.

Momentum 54

 Impartial

 
Oversold
 
Overbought
The successful prediction of Host Hotels' future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Host Hotels Resorts, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Host Hotels' stock price prediction:
Quarterly Earnings Growth
0.966
EPS Estimate Next Quarter
0.1571
EPS Estimate Current Year
1.0416
EPS Estimate Next Year
0.8707
Wall Street Target Price
19.7917
Using Host Hotels hype-based prediction, you can estimate the value of Host Hotels Resorts from the perspective of Host Hotels response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Host Hotels using Host Hotels' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Host using crowd psychology based on the activity and movement of Host Hotels' stock price.

Host Hotels Short Interest

An investor who is long Host Hotels may also wish to track short interest. As short interest increases, investors should be becoming more worried about Host Hotels and may potentially protect profits, hedge Host Hotels with its derivative instruments, or be ready for some potential downside.
200 Day MA
16.1487
Short Percent
0.0712
Short Ratio
4.76
Shares Short Prior Month
35.2 M
50 Day MA
17.452

Host Hotels Resorts Hype to Price Pattern

Investor biases related to Host Hotels' public news can be used to forecast risks associated with an investment in Host. The trend in average sentiment can be used to explain how an investor holding Host can time the market purely based on public headlines and social activities around Host Hotels Resorts. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Host Hotels' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Host Hotels.

Host Hotels Implied Volatility

    
  0.13  
Host Hotels' implied volatility exposes the market's sentiment of Host Hotels Resorts stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Host Hotels' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Host Hotels stock will not fluctuate a lot when Host Hotels' options are near their expiration.
The Naive Prediction forecasted value of Host Hotels Resorts on the next trading day is expected to be 17.55 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.86.

Host Hotels after-hype prediction price

    
  USD 17.76  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Host Hotels to cross-verify your projections.
At this time, Host Hotels' Inventory Turnover is comparatively stable compared to the past year. Payables Turnover is likely to gain to 11.74 in 2026, whereas Receivables Turnover is likely to drop 39.74 in 2026. . Common Stock Shares Outstanding is likely to drop to about 554.9 M in 2026. Net Income Applicable To Common Shares is likely to drop to about 409.7 M in 2026.

Open Interest Against 2026-02-20 Host Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Host Hotels' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Host Hotels' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Host Hotels stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Host Hotels' open interest, investors have to compare it to Host Hotels' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Host Hotels is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Host. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Host Hotels Additional Predictive Modules

Most predictive techniques to examine Host price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Host using various technical indicators. When you analyze Host charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Host Hotels' financial statements to predict how it will affect future prices.
 
Cash  
First Reported
1993-12-31
Previous Quarter
490 M
Current Value
539 M
Quarterly Volatility
497 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Host Hotels is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Host Hotels Resorts value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Host Hotels Naive Prediction Price Forecast For the 2nd of January

Given 90 days horizon, the Naive Prediction forecasted value of Host Hotels Resorts on the next trading day is expected to be 17.55 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.16, and the sum of the absolute errors of 17.86.
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

Backtest Host HotelsHost Hotels Price PredictionBuy or Sell Advice 

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 15.89 and 19.22, 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
17.73
17.55
Expected Value
19.22
Upside

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 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 Criteria116.2677
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2928
MAPEMean absolute percentage error0.0175
SAESum of the absolute errors17.8619
This model is not at all useful as a medium-long range forecasting tool of Host Hotels Resorts. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Host Hotels. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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
16.0917.7619.43
Details
Intrinsic
Valuation
LowRealHigh
16.8918.5620.23
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.7317.6918.65
Details
19 Analysts
Consensus
LowTargetHigh
18.0119.7921.97
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.