SPG Stock Forecast - Naive Prediction

058610 Stock  KRW 21,350  400.00  1.84%   
The Naive Prediction forecasted value of SPG Co on the next trading day is expected to be 22,628 with a mean absolute deviation of 631.66 and the sum of the absolute errors of 38,531. SPG Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SPG stock prices and determine the direction of SPG Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SPG's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for SPG is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of SPG Co 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.

SPG Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of SPG Co on the next trading day is expected to be 22,628 with a mean absolute deviation of 631.66, mean absolute percentage error of 659,663, and the sum of the absolute errors of 38,531.
Please note that although there have been many attempts to predict SPG 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 SPG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SPG Stock Forecast Pattern

Backtest SPGSPG Price PredictionBuy or Sell Advice 

SPG Forecasted Value

In the context of forecasting SPG'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. SPG's downside and upside margins for the forecasting period are 22,626 and 22,631, respectively. We have considered SPG'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
21,350
22,626
Downside
22,628
Expected Value
22,631
Upside

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 SPG stock data series using in forecasting. Note that when a statistical model is used to represent SPG 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 Criteria131.51
BiasArithmetic mean of the errors None
MADMean absolute deviation631.6591
MAPEMean absolute percentage error0.0273
SAESum of the absolute errors38531.2053
This model is not at all useful as a medium-long range forecasting tool of SPG Co. 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 SPG. 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 SPG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SPG Co. 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
21,34721,35021,353
Details
Intrinsic
Valuation
LowRealHigh
19,85319,85623,485
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20,15221,11722,081
Details

Other Forecasting Options for SPG

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

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

SPG Co 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 SPG'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 SPG's current price.

SPG Market Strength Events

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

SPG Risk Indicators

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

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

Moving together with SPG Stock

  0.65222800 SIMMTECHPairCorr

Moving against SPG Stock

  0.36021080 Atinum InvestmentPairCorr
  0.31230240 Hana Financial 7PairCorr
The ability to find closely correlated positions to SPG could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SPG 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 SPG - 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 SPG Co to buy it.
The correlation of SPG 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 SPG moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SPG Co 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 SPG 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 SPG Stock

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