UBS 100 Fund Forecast - Simple Exponential Smoothing

0P00013BS3   156.84  0.11  0.07%   
The Simple Exponential Smoothing forecasted value of UBS 100 Index Fund on the next trading day is expected to be 156.84 with a mean absolute deviation of 0.89 and the sum of the absolute errors of 53.59. Investors can use prediction functions to forecast UBS 100's fund prices and determine the direction of UBS 100 Index Fund's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
UBS 100 simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for UBS 100 Index Fund are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as UBS 100 Index prices get older.

UBS 100 Simple Exponential Smoothing Price Forecast For the 21st of March

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of UBS 100 Index Fund on the next trading day is expected to be 156.84 with a mean absolute deviation of 0.89, mean absolute percentage error of 1.22, and the sum of the absolute errors of 53.59.
Please note that although there have been many attempts to predict UBS 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 UBS 100's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

UBS 100 Fund Forecast Pattern

UBS 100 Forecasted Value

In the context of forecasting UBS 100'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. UBS 100's downside and upside margins for the forecasting period are 156.17 and 157.51, respectively. We have considered UBS 100'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
156.84
156.17
Downside
156.84
Expected Value
157.51
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of UBS 100 fund data series using in forecasting. Note that when a statistical model is used to represent UBS 100 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 Criteria116.4728
BiasArithmetic mean of the errors -0.2522
MADMean absolute deviation0.8932
MAPEMean absolute percentage error0.006
SAESum of the absolute errors53.59
This simple exponential smoothing model begins by setting UBS 100 Index Fund forecast for the second period equal to the observation of the first period. In other words, recent UBS 100 observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for UBS 100

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as UBS 100 Index. 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 UBS 100

For every potential investor in UBS, whether a beginner or expert, UBS 100's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. UBS Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in UBS. Basic forecasting techniques help filter out the noise by identifying UBS 100's price trends.

UBS 100 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 UBS 100 fund to make a market-neutral strategy. Peer analysis of UBS 100 could also be used in its relative valuation, which is a method of valuing UBS 100 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

UBS 100 Index 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 UBS 100'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 UBS 100's current price.

UBS 100 Market Strength Events

Market strength indicators help investors to evaluate how UBS 100 fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading UBS 100 shares will generate the highest return on investment. By undertsting and applying UBS 100 fund market strength indicators, traders can identify UBS 100 Index Fund entry and exit signals to maximize returns.

UBS 100 Risk Indicators

The analysis of UBS 100'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 UBS 100's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ubs 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.

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