KLP AksjeVerden Fund Forecast - Simple Regression

0P0001OPC5   1,616  0.00  0.00%   
The Simple Regression forecasted value of KLP AksjeVerden Indeks on the next trading day is expected to be 1,623 with a mean absolute deviation of 12.05 and the sum of the absolute errors of 734.94. Investors can use prediction functions to forecast KLP AksjeVerden's fund prices and determine the direction of KLP AksjeVerden Indeks's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through KLP AksjeVerden price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

KLP AksjeVerden Simple Regression Price Forecast For the 29th of November

Given 90 days horizon, the Simple Regression forecasted value of KLP AksjeVerden Indeks on the next trading day is expected to be 1,623 with a mean absolute deviation of 12.05, mean absolute percentage error of 218.26, and the sum of the absolute errors of 734.94.
Please note that although there have been many attempts to predict KLP Fund 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 KLP AksjeVerden's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

KLP AksjeVerden Fund Forecast Pattern

KLP AksjeVerden Forecasted Value

In the context of forecasting KLP AksjeVerden's Fund 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. KLP AksjeVerden's downside and upside margins for the forecasting period are 1,622 and 1,624, respectively. We have considered KLP AksjeVerden'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
1,616
1,623
Expected Value
1,624
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of KLP AksjeVerden fund data series using in forecasting. Note that when a statistical model is used to represent KLP AksjeVerden fund, 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 Criteria123.4962
BiasArithmetic mean of the errors None
MADMean absolute deviation12.0482
MAPEMean absolute percentage error0.0078
SAESum of the absolute errors734.9389
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as KLP AksjeVerden Indeks historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for KLP AksjeVerden

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as KLP AksjeVerden Indeks. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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.

Other Forecasting Options for KLP AksjeVerden

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

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

KLP AksjeVerden Indeks Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of KLP AksjeVerden'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 KLP AksjeVerden's current price.

KLP AksjeVerden Market Strength Events

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

KLP AksjeVerden Risk Indicators

The analysis of KLP AksjeVerden'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 KLP AksjeVerden's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting klp fund 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 KLP AksjeVerden

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 KLP AksjeVerden 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 KLP AksjeVerden will appreciate offsetting losses from the drop in the long position's value.

Moving together with KLP Fund

  0.78IE00B065CV35 Franklin Floating RatePairCorr
  0.78IE0032578035 Franklin Floating RatePairCorr
  0.97IE00B000C709 Franklin Floating RatePairCorr
The ability to find closely correlated positions to KLP AksjeVerden could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KLP AksjeVerden 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 KLP AksjeVerden - 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 KLP AksjeVerden Indeks to buy it.
The correlation of KLP AksjeVerden 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 KLP AksjeVerden moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KLP AksjeVerden Indeks 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 KLP AksjeVerden 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
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