Sampo Corp Stock Forecast - Simple Moving Average

1604 Stock  TWD 28.35  0.10  0.35%   
The Simple Moving Average forecasted value of Sampo Corp on the next trading day is expected to be 28.35 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.30. Sampo Stock Forecast is based on your current time horizon.
  
A two period moving average forecast for Sampo Corp is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Sampo Corp Simple Moving Average Price Forecast For the 25th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Sampo Corp on the next trading day is expected to be 28.35 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.30.
Please note that although there have been many attempts to predict Sampo 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 Sampo Corp's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sampo Corp Stock Forecast Pattern

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Sampo Corp Forecasted Value

In the context of forecasting Sampo Corp'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. Sampo Corp's downside and upside margins for the forecasting period are 27.72 and 28.98, respectively. We have considered Sampo Corp'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
28.35
28.35
Expected Value
28.98
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Sampo Corp stock data series using in forecasting. Note that when a statistical model is used to represent Sampo Corp 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 Criteria111.0397
BiasArithmetic mean of the errors 0.0034
MADMean absolute deviation0.1407
MAPEMean absolute percentage error0.005
SAESum of the absolute errors8.3
The simple moving average model is conceptually a linear regression of the current value of Sampo Corp price series against current and previous (unobserved) value of Sampo Corp. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Sampo Corp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sampo Corp. 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
27.7228.3528.98
Details
Intrinsic
Valuation
LowRealHigh
27.6128.2428.87
Details
Bollinger
Band Projection (param)
LowMiddleHigh
28.2228.3228.41
Details

Other Forecasting Options for Sampo Corp

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

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

Sampo Corp 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 Sampo Corp'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 Sampo Corp's current price.

Sampo Corp Market Strength Events

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

Sampo Corp Risk Indicators

The analysis of Sampo Corp'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 Sampo Corp's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sampo 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Sampo Stock Analysis

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