Bank Millennium Stock Forecast - Double Exponential Smoothing

MIL Stock   8.40  0.18  2.19%   
The Double Exponential Smoothing forecasted value of Bank Millennium SA on the next trading day is expected to be 8.43 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.04. Bank 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 Bank Millennium works best with periods where there are trends or seasonality.

Bank Millennium Double Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Bank Millennium SA on the next trading day is expected to be 8.43 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.04.
Please note that although there have been many attempts to predict Bank 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 Bank Millennium's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bank Millennium Stock Forecast Pattern

Backtest Bank MillenniumBank Millennium Price PredictionBuy or Sell Advice 

Bank Millennium Forecasted Value

In the context of forecasting Bank Millennium's 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. Bank Millennium's downside and upside margins for the forecasting period are 6.29 and 10.57, respectively. We have considered Bank Millennium'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
8.40
8.43
Expected Value
10.57
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 Bank Millennium stock data series using in forecasting. Note that when a statistical model is used to represent Bank Millennium 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 0.0387
MADMean absolute deviation0.1507
MAPEMean absolute percentage error0.0176
SAESum of the absolute errors9.04
When Bank Millennium SA 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 Bank Millennium SA 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 Bank Millennium observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Bank Millennium

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank Millennium SA. 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 Bank Millennium'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
6.288.4010.52
Details
Intrinsic
Valuation
LowRealHigh
5.267.389.50
Details

Other Forecasting Options for Bank Millennium

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

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

Bank Millennium SA 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 Bank Millennium'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 Bank Millennium's current price.

Bank Millennium Market Strength Events

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

Bank Millennium Risk Indicators

The analysis of Bank Millennium'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 Bank Millennium's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank 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 Bank Millennium

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 Bank Millennium 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 Bank Millennium will appreciate offsetting losses from the drop in the long position's value.

Moving together with Bank Stock

  0.69SPL Santander Bank PolskaPairCorr
  0.73PEO Bank Polska KasaPairCorr

Moving against Bank Stock

  0.57UCG UniCredit SpAPairCorr
  0.444MS 4Mass SAPairCorr
  0.43NTS NotoriaPairCorr
  0.36CFS Centrum Finansowe BankuPairCorr
The ability to find closely correlated positions to Bank Millennium could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank Millennium 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 Bank Millennium - 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 Bank Millennium SA to buy it.
The correlation of Bank Millennium 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 Bank Millennium moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank Millennium SA 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 Bank Millennium 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

Additional Tools for Bank Stock Analysis

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