Jyske Invest Stock Forecast - Polynomial Regression

JYINOB Stock  DKK 99.58  0.00  0.00%   
The Polynomial Regression forecasted value of Jyske Invest Nye on the next trading day is expected to be 100.91 with a mean absolute deviation of 0.54 and the sum of the absolute errors of 33.16. Jyske Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Jyske Invest stock prices and determine the direction of Jyske Invest Nye's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Jyske Invest's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Jyske Invest polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Jyske Invest Nye as well as the accuracy indicators are determined from the period prices.

Jyske Invest Polynomial Regression Price Forecast For the 4th of June

Given 90 days horizon, the Polynomial Regression forecasted value of Jyske Invest Nye on the next trading day is expected to be 100.91 with a mean absolute deviation of 0.54, mean absolute percentage error of 0.61, and the sum of the absolute errors of 33.16.
Please note that although there have been many attempts to predict Jyske 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 Jyske Invest's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Jyske Invest Stock Forecast Pattern

JavaScript chart by amCharts 3.21.15Feb 26Mar 6Mar 14Mar 24Apr 1Apr 9Apr 22Apr 30May 8Jun 396979899100101102
JavaScript chart by amCharts 3.21.15Jyske Invest Nye Jyske Invest Nye forecast

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Jyske Invest stock data series using in forecasting. Note that when a statistical model is used to represent Jyske Invest 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 Criteria117.6197
BiasArithmetic mean of the errors None
MADMean absolute deviation0.5437
MAPEMean absolute percentage error0.0055
SAESum of the absolute errors33.1628
A single variable polynomial regression model attempts to put a curve through the Jyske Invest historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Jyske Invest

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jyske Invest Nye. 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
99.5899.5899.58
Details
Intrinsic
Valuation
LowRealHigh
98.8298.82109.54
Details
Bollinger
Band Projection (param)
LowMiddleHigh
96.7599.31101.88
Details

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

Jyske Invest Market Strength Events

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

Pair Trading with Jyske Invest

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 Jyske Invest 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 Jyske Invest will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Jyske Invest could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Jyske Invest 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 Jyske Invest - 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 Jyske Invest Nye to buy it.
The correlation of Jyske Invest 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 Jyske Invest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Jyske Invest Nye 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 Jyske Invest 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 Jyske Stock

Jyske Invest financial ratios help investors to determine whether Jyske 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 Jyske with respect to the benefits of owning Jyske Invest security.