UBS Etf Forecast - Polynomial Regression
| FBGX Etf | USD 943.29 0.00 0.00% |
The Polynomial Regression forecasted value of UBS on the next trading day is expected to be 949.76 with a mean absolute deviation of 16.06 and the sum of the absolute errors of 979.41. UBS Etf Forecast is based on your current time horizon.
UBS |
UBS Polynomial Regression Price Forecast For the 29th of November
Given 90 days horizon, the Polynomial Regression forecasted value of UBS on the next trading day is expected to be 949.76 with a mean absolute deviation of 16.06, mean absolute percentage error of 394.91, and the sum of the absolute errors of 979.41.Please note that although there have been many attempts to predict UBS Etf 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's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
UBS Etf Forecast Pattern
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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 etf data series using in forecasting. Note that when a statistical model is used to represent UBS etf, 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 | 124.0892 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 16.0558 |
| MAPE | Mean absolute percentage error | 0.0193 |
| SAE | Sum of the absolute errors | 979.4058 |
Predictive Modules for UBS
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. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.UBS 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 etf to make a market-neutral strategy. Peer analysis of UBS could also be used in its relative valuation, which is a method of valuing UBS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
UBS Market Strength Events
Market strength indicators help investors to evaluate how UBS etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading UBS shares will generate the highest return on investment. By undertsting and applying UBS etf market strength indicators, traders can identify UBS entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 943.29 | |||
| Day Typical Price | 943.29 |
UBS Risk Indicators
The analysis of UBS'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's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ubs etf 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.
| Mean Deviation | 1.29 | |||
| Semi Deviation | 1.37 | |||
| Standard Deviation | 1.73 | |||
| Variance | 2.99 | |||
| Downside Variance | 2.53 | |||
| Semi Variance | 1.87 | |||
| Expected Short fall | (1.49) |
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.When determining whether UBS offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of UBS's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ubs Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ubs Etf:Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
The market value of UBS is measured differently than its book value, which is the value of UBS that is recorded on the company's balance sheet. Investors also form their own opinion of UBS's value that differs from its market value or its book value, called intrinsic value, which is UBS's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because UBS's market value can be influenced by many factors that don't directly affect UBS's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between UBS's value and its price as these two are different measures arrived at by different means. Investors typically determine if UBS is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, UBS's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.