Nok Airlines Stock Forecast - Double Exponential Smoothing

N5A Stock   0.03  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Nok Airlines PCL on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Nok Stock Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Nok Airlines works best with periods where there are trends or seasonality.

Nok Airlines Double Exponential Smoothing Price Forecast For the 28th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Nok Airlines PCL on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Nok 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 Nok Airlines' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Nok Airlines Stock Forecast Pattern

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Nok Airlines Forecasted Value

In the context of forecasting Nok Airlines' 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. Nok Airlines' downside and upside margins for the forecasting period are 0.03 and 0.03, respectively. We have considered Nok Airlines' 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
0.03
0.03
Expected Value
0.03
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Nok Airlines stock data series using in forecasting. Note that when a statistical model is used to represent Nok Airlines 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 CriteriaHuge
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
When Nok Airlines PCL prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Nok Airlines PCL trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Nok Airlines observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Nok Airlines

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nok Airlines PCL. 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 Nok Airlines' 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
0.020.030.03
Details
Intrinsic
Valuation
LowRealHigh
0.020.020.03
Details

Other Forecasting Options for Nok Airlines

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

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

Nok Airlines PCL 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 Nok Airlines' 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 Nok Airlines' current price.

Nok Airlines Market Strength Events

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

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 Nok Stock Analysis

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