NC Housing Stock Forecast - Naive Prediction

NCH Stock  THB 0.97  0.01  1.04%   
The Naive Prediction forecasted value of NC Housing Public on the next trading day is expected to be 0.96 with a mean absolute deviation of  0.01  and the sum of the absolute errors of 0.63. NCH Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast NC Housing stock prices and determine the direction of NC Housing Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of NC Housing's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of NC Housing to cross-verify your projections.
  
Most investors in NC Housing cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the NC Housing's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets NC Housing's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for NC Housing is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of NC Housing Public 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.

NC Housing Naive Prediction Price Forecast For the 22nd of May

Given 90 days horizon, the Naive Prediction forecasted value of NC Housing Public on the next trading day is expected to be 0.96 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.63.
Please note that although there have been many attempts to predict NCH 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 NC Housing's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

NC Housing Stock Forecast Pattern

Backtest NC HousingNC Housing Price PredictionBuy or Sell Advice 

NC Housing Forecasted Value

In the context of forecasting NC Housing'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. NC Housing's downside and upside margins for the forecasting period are 0.01 and 2.29, respectively. We have considered NC Housing'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
0.97
0.96
Expected Value
2.29
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 NC Housing stock data series using in forecasting. Note that when a statistical model is used to represent NC Housing 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 Criteria111.2714
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0102
MAPEMean absolute percentage error0.0103
SAESum of the absolute errors0.6329
This model is not at all useful as a medium-long range forecasting tool of NC Housing Public. 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 NC Housing. 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 NC Housing

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as NC Housing Public. 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 NC Housing's 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
0.050.972.30
Details
Intrinsic
Valuation
LowRealHigh
0.040.822.15
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as NC Housing. Your research has to be compared to or analyzed against NC Housing's peers to derive any actionable benefits. When done correctly, NC Housing'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 NC Housing Public.

Other Forecasting Options for NC Housing

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

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

NC Housing Public 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 NC Housing'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 NC Housing's current price.

NC Housing Market Strength Events

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

NC Housing Risk Indicators

The analysis of NC Housing'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 NC Housing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nch 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.

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Check out Historical Fundamental Analysis of NC Housing to cross-verify your projections.
Note that the NC Housing Public information on this page should be used as a complementary analysis to other NC Housing's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

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When running NC Housing's price analysis, check to measure NC Housing'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 NC Housing is operating at the current time. Most of NC Housing's value examination focuses on studying past and present price action to predict the probability of NC Housing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NC Housing's price. Additionally, you may evaluate how the addition of NC Housing to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between NC Housing's value and its price as these two are different measures arrived at by different means. Investors typically determine if NC Housing is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, NC Housing'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.