PF BankNordik Stock Forecast - Naive Prediction

BNORDIK-CSE  DKK 164.00  1.00  0.61%   
The Naive Prediction forecasted value of PF BankNordik on the next trading day is expected to be 161.08 with a mean absolute deviation of 0.72 and the sum of the absolute errors of 44.12. BNORDIK-CSE Stock Forecast is based on your current time horizon.
  
A naive forecasting model for PF BankNordik is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of PF BankNordik 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.

PF BankNordik Naive Prediction Price Forecast For the 26th of November

Given 90 days horizon, the Naive Prediction forecasted value of PF BankNordik on the next trading day is expected to be 161.08 with a mean absolute deviation of 0.72, mean absolute percentage error of 0.90, and the sum of the absolute errors of 44.12.
Please note that although there have been many attempts to predict BNORDIK-CSE 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 PF BankNordik's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

PF BankNordik Stock Forecast Pattern

Backtest PF BankNordikPF BankNordik Price PredictionBuy or Sell Advice 

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 PF BankNordik stock data series using in forecasting. Note that when a statistical model is used to represent PF BankNordik 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 Criteria118.0061
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7233
MAPEMean absolute percentage error0.0046
SAESum of the absolute errors44.1237
This model is not at all useful as a medium-long range forecasting tool of PF BankNordik. 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 PF BankNordik. 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 PF BankNordik

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PF BankNordik. 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 PF BankNordik'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
163.36164.00164.64
Details
Intrinsic
Valuation
LowRealHigh
161.72162.36180.40
Details
Bollinger
Band Projection (param)
LowMiddleHigh
161.45163.33165.22
Details

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

PF BankNordik Market Strength Events

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

PF BankNordik Risk Indicators

The analysis of PF BankNordik'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 PF BankNordik's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bnordik-cse 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.

Pair Trading with PF BankNordik

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if PF BankNordik position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in PF BankNordik will appreciate offsetting losses from the drop in the long position's value.

Moving against BNORDIK-CSE Stock

  0.92DNORD DampskibsselskabetPairCorr
  0.92TRMD-A TORM plcPairCorr
  0.83JYSK Jyske Bank ASPairCorr
  0.83NORTHM North Media ASPairCorr
  0.79SKJE Skjern Bank ASPairCorr
The ability to find closely correlated positions to PF BankNordik could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace PF BankNordik when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back PF BankNordik - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling PF BankNordik to buy it.
The correlation of PF BankNordik is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as PF BankNordik moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if PF BankNordik moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for PF BankNordik can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in BNORDIK-CSE Stock

PF BankNordik financial ratios help investors to determine whether BNORDIK-CSE Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in BNORDIK-CSE with respect to the benefits of owning PF BankNordik security.