UBS US Mutual Fund Forward View - Polynomial Regression
| DVRPX Fund | 17.43 0.00 0.00% |
UBS Dividend Ruler's Polynomial Regression reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Polynomial Regression forecasted value of UBS Dividend Ruler on the next trading day is expected to be 17.44 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.14.A single variable polynomial regression model attempts to put a curve through the UBS US historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm All Polynomial Regression forecast figures shown for UBS Dividend Ruler are reference data reflecting model output based on available historical prices. Polynomial Regression Price Forecast For the 27th of March
Given 90 days horizon, the Polynomial Regression forecasted value of UBS Dividend Ruler on the next trading day is expected to be 17.44 with a mean absolute deviation of 0.04 , mean absolute percentage error of 0.004 , and the sum of the absolute errors of 2.14 .Please note that although there have been many attempts to predict UBS Mutual Fund prices using its time series forecasting, we generally do not suggest 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 US's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest UBS US | UBS US Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates UBS US's predictive range by looking for statistically meaningful downside and upside boundaries. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of UBS US mutual fund data series using in forecasting. Note that when a statistical model is used to represent UBS US mutual 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.| AIC | Akaike Information Criteria | 112.5983 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0351 |
| MAPE | Mean absolute percentage error | 0.002 |
| SAE | Sum of the absolute errors | 2.1393 |
Other Forecasting Options for UBS US
Bollinger Bands applied to UBS Mutual Fund price data measure how far UBS has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to UBS US's price data.UBS US Related Equities
These related stocks within the Large Value space give benchmarks for judging UBS US's results, margins, and growth trend. Profit comparisons show whether UBS US earns above or below average returns next to its peers. Firms that trade at big discounts to peers on core metrics may be worth more research. These checks provide a starting point for deeper study of UBS US's strengths and weak spots.
| Risk & Return | Correlation |
UBS US Market Strength Events
For investors tracking UBS Dividend Ruler, market strength indicators offer quantitative evaluation of mutual fund behavior. These indicators add context to timing decisions around UBS Dividend Ruler positions.
UBS US Risk Indicators
Analyzing UBS US's basic risk indicators provides investors with a structured view of the risk-return trade-off for ubs mutual fund. By identifying the level of risk embedded in UBS US's investment, investors can make informed decisions about position sizing.
| Mean Deviation | 0.2274 | |||
| Semi Deviation | 0.2993 | |||
| Standard Deviation | 0.4093 | |||
| Variance | 0.1675 | |||
| Downside Variance | 0.698 | |||
| Semi Variance | 0.0896 | |||
| Expected Short fall | -0.46 |
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.
Story Coverage note for UBS US
A coverage review of UBS Dividend Ruler shows when the security is attracting above-average attention from contributors and market observers. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.