Nok Airlines (Germany) Market Value

N5A Stock   0.03  0.00  0.00%   
Nok Airlines' market value is the price at which a share of Nok Airlines trades on a public exchange. It measures the collective expectations of Nok Airlines PCL investors about its performance. Nok Airlines is selling for under 0.025 as of the 3rd of December 2024; that is No Change since the beginning of the trading day. The stock's last reported lowest price was 0.025.
With this module, you can estimate the performance of a buy and hold strategy of Nok Airlines PCL and determine expected loss or profit from investing in Nok Airlines over a given investment horizon. Check out Nok Airlines Correlation, Nok Airlines Volatility and Nok Airlines Alpha and Beta module to complement your research on Nok Airlines.
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Please note, there is a significant difference between Nok Airlines' value and its price as these two are different measures arrived at by different means. Investors typically determine if Nok Airlines is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Nok Airlines' 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.

Nok Airlines 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Nok Airlines' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Nok Airlines.
0.00
11/03/2024
No Change 0.00  0.0 
In 31 days
12/03/2024
0.00
If you would invest  0.00  in Nok Airlines on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Nok Airlines PCL or generate 0.0% return on investment in Nok Airlines over 30 days. Nok Airlines is related to or competes with AIR PRODCHEMICALS, Data3, DATAGROUP, Automatic Data, Science Applications, National Storage, and PUBLIC STORAGE. More

Nok Airlines Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Nok Airlines' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Nok Airlines PCL upside and downside potential and time the market with a certain degree of confidence.

Nok Airlines Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Nok Airlines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nok Airlines' standard deviation. In reality, there are many statistical measures that can use Nok Airlines historical prices to predict the future Nok Airlines' volatility.
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
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Naive
Forecast
LowNextHigh
0.030.030.03
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Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.030.030.03
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Nok Airlines PCL Backtested Returns

We have found three technical indicators for Nok Airlines, which you can use to evaluate the volatility of the firm. The company secures a Beta (Market Risk) of 0.0, which conveys not very significant fluctuations relative to the market. the returns on MARKET and Nok Airlines are completely uncorrelated.

Auto-correlation

    
  1.00  

Perfect predictability

Nok Airlines PCL has perfect predictability. Overlapping area represents the amount of predictability between Nok Airlines time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Nok Airlines PCL price movement. The serial correlation of 1.0 indicates that 100.0% of current Nok Airlines price fluctuation can be explain by its past prices.
Correlation Coefficient1.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

Nok Airlines PCL lagged returns against current returns

Autocorrelation, which is Nok Airlines stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Nok Airlines' stock expected returns. We can calculate the autocorrelation of Nok Airlines returns to help us make a trade decision. For example, suppose you find that Nok Airlines has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Nok Airlines regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Nok Airlines stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nok Airlines stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nok Airlines stock over time.
   Current vs Lagged Prices   
       Timeline  

Nok Airlines Lagged Returns

When evaluating Nok Airlines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nok Airlines stock have on its future price. Nok Airlines autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Nok Airlines autocorrelation shows the relationship between Nok Airlines stock current value and its past values and can show if there is a momentum factor associated with investing in Nok Airlines PCL.
   Regressed Prices   
       Timeline  

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.
Explore Investing Ideas  

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.