DS Smith Pink Sheet Forecast - Double Exponential Smoothing

DITHF Stock  USD 7.43  0.00  0.00%   
The Double Exponential Smoothing forecasted value of DS Smith PLC on the next trading day is expected to be 7.43 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.59. DITHF Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of DS Smith's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
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 DS Smith works best with periods where there are trends or seasonality.

DS Smith Double Exponential Smoothing Price Forecast For the 3rd of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of DS Smith PLC on the next trading day is expected to be 7.43 with a mean absolute deviation of 0.03, mean absolute percentage error of 0.03, and the sum of the absolute errors of 1.59.
Please note that although there have been many attempts to predict DITHF Pink Sheet 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 DS Smith's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DS Smith Pink Sheet Forecast Pattern

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DS Smith Forecasted Value

In the context of forecasting DS Smith's Pink Sheet 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. DS Smith's downside and upside margins for the forecasting period are 4.90 and 9.96, respectively. We have considered DS Smith'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
7.43
7.43
Expected Value
9.96
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 DS Smith pink sheet data series using in forecasting. Note that when a statistical model is used to represent DS Smith pink sheet, 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 -0.0269
MADMean absolute deviation0.0269
MAPEMean absolute percentage error0.0038
SAESum of the absolute errors1.59
When DS Smith PLC 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 DS Smith PLC 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 DS Smith observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for DS Smith

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DS Smith PLC. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
4.907.439.96
Details
Intrinsic
Valuation
LowRealHigh
6.098.6211.15
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as DS Smith. Your research has to be compared to or analyzed against DS Smith's peers to derive any actionable benefits. When done correctly, DS Smith's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in DS Smith PLC.

Other Forecasting Options for DS Smith

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

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

DS Smith PLC Technical and Predictive Analytics

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

DS Smith Market Strength Events

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

DS Smith Risk Indicators

The analysis of DS Smith'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 DS Smith's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dithf pink sheet 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.

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Other Information on Investing in DITHF Pink Sheet

DS Smith financial ratios help investors to determine whether DITHF Pink Sheet 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 DITHF with respect to the benefits of owning DS Smith security.