InnSuites Hospitality Stock Forecast - Naive Prediction

IHT Stock  USD 2.13  0.09  4.41%   
The Naive Prediction forecasted value of InnSuites Hospitality Trust on the next trading day is expected to be 2.27 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.01. InnSuites Stock Forecast is based on your current time horizon.
  
Receivables Turnover is likely to gain to 70.20 in 2024, whereas Inventory Turnover is likely to drop (2.37) in 2024. . Net Income Applicable To Common Shares is likely to gain to about 494.4 K in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 6.5 M in 2024.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the InnSuites Hospitality's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
1995-01-31
Previous Quarter
437.3 K
Current Value
418 K
Quarterly Volatility
1.2 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for InnSuites Hospitality is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of InnSuites Hospitality Trust 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.

InnSuites Hospitality Naive Prediction Price Forecast For the 24th of November

Given 90 days horizon, the Naive Prediction forecasted value of InnSuites Hospitality Trust on the next trading day is expected to be 2.27 with a mean absolute deviation of 0.05, mean absolute percentage error of 0, and the sum of the absolute errors of 3.01.
Please note that although there have been many attempts to predict InnSuites 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 InnSuites Hospitality's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

InnSuites Hospitality Stock Forecast Pattern

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InnSuites Hospitality Forecasted Value

In the context of forecasting InnSuites 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. InnSuites Hospitality's downside and upside margins for the forecasting period are 0.02 and 6.19, respectively. We have considered InnSuites 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.
Market Value
2.13
2.27
Expected Value
6.19
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 InnSuites Hospitality stock data series using in forecasting. Note that when a statistical model is used to represent InnSuites 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.
AICAkaike Information Criteria112.4258
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0494
MAPEMean absolute percentage error0.0253
SAESum of the absolute errors3.0126
This model is not at all useful as a medium-long range forecasting tool of InnSuites Hospitality Trust. 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 InnSuites Hospitality. 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 InnSuites 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 InnSuites Hospitality. 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
0.112.136.05
Details
Intrinsic
Valuation
LowRealHigh
0.091.735.65
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as InnSuites Hospitality. Your research has to be compared to or analyzed against InnSuites Hospitality's peers to derive any actionable benefits. When done correctly, InnSuites Hospitality's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in InnSuites Hospitality.

Other Forecasting Options for InnSuites Hospitality

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

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

InnSuites Hospitality 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 InnSuites 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 InnSuites Hospitality's current price.

InnSuites Hospitality Market Strength Events

Market strength indicators help investors to evaluate how InnSuites 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 InnSuites Hospitality shares will generate the highest return on investment. By undertsting and applying InnSuites Hospitality stock market strength indicators, traders can identify InnSuites Hospitality Trust entry and exit signals to maximize returns.

InnSuites Hospitality Risk Indicators

The analysis of InnSuites 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 InnSuites Hospitality's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting innsuites 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 InnSuites Stock Analysis

When running InnSuites Hospitality's price analysis, check to measure InnSuites Hospitality's 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 InnSuites Hospitality is operating at the current time. Most of InnSuites Hospitality's value examination focuses on studying past and present price action to predict the probability of InnSuites Hospitality's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move InnSuites Hospitality's price. Additionally, you may evaluate how the addition of InnSuites Hospitality to your portfolios can decrease your overall portfolio volatility.