UBS Money Fund Forecast - Naive Prediction

UG72 Fund  EUR 1,949  3.44  0.18%   
The Naive Prediction forecasted value of UBS Money Market on the next trading day is expected to be 1,958 with a mean absolute deviation of 7.53 and the sum of the absolute errors of 466.63. UBS Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast UBS Money stock prices and determine the direction of UBS Money Market's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of UBS Money's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for UBS Money is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of UBS Money Market 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.

UBS Money Naive Prediction Price Forecast For the 22nd of December

Given 90 days horizon, the Naive Prediction forecasted value of UBS Money Market on the next trading day is expected to be 1,958 with a mean absolute deviation of 7.53, mean absolute percentage error of 87.47, and the sum of the absolute errors of 466.63.
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 Money's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

UBS Money Fund Forecast Pattern

UBS Money Forecasted Value

In the context of forecasting UBS Money'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 Money's downside and upside margins for the forecasting period are 1,958 and 1,958, respectively. We have considered UBS Money'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
1,949
1,958
Expected Value
1,958
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 UBS Money fund data series using in forecasting. Note that when a statistical model is used to represent UBS Money 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 Criteria124.4197
BiasArithmetic mean of the errors None
MADMean absolute deviation7.5262
MAPEMean absolute percentage error0.004
SAESum of the absolute errors466.6255
This model is not at all useful as a medium-long range forecasting tool of UBS Money Market. 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 UBS Money. 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 UBS Money

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 Money Market. 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.
Hype
Prediction
LowEstimatedHigh
1,9491,9491,949
Details
Intrinsic
Valuation
LowRealHigh
1,9291,9292,144
Details
Bollinger
Band Projection (param)
LowMiddleHigh
1,9041,9231,942
Details

Other Forecasting Options for UBS Money

For every potential investor in UBS, whether a beginner or expert, UBS Money'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 Money's price trends.

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

UBS Money Market 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 Money'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 Money's current price.

UBS Money Market Strength Events

Market strength indicators help investors to evaluate how UBS Money 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 Money shares will generate the highest return on investment. By undertsting and applying UBS Money fund market strength indicators, traders can identify UBS Money Market entry and exit signals to maximize returns.

UBS Money Risk Indicators

The analysis of UBS Money'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 Money'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.

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.

Other Information on Investing in UBS Fund

UBS Money financial ratios help investors to determine whether UBS Fund 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 UBS with respect to the benefits of owning UBS Money security.
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