CBH Etf Forecast - Polynomial Regression
| CBH Etf | USD 9.19 0.00 0.00% |
The Polynomial Regression forecasted value of CBH on the next trading day is expected to be 9.21 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.58. CBH Etf Forecast is based on your current time horizon. We recommend always using this module together with an analysis of CBH's historical fundamentals, such as revenue growth or operating cash flow patterns.
CBH |
CBH Polynomial Regression Price Forecast For the 1st of February
Given 90 days horizon, the Polynomial Regression forecasted value of CBH on the next trading day is expected to be 9.21 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.58.Please note that although there have been many attempts to predict CBH 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 CBH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CBH Etf Forecast Pattern
| Backtest CBH | CBH Price Prediction | Buy or Sell Advice |
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 CBH etf data series using in forecasting. Note that when a statistical model is used to represent CBH 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 | 109.1436 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0095 |
| MAPE | Mean absolute percentage error | 0.0011 |
| SAE | Sum of the absolute errors | 0.5814 |
Predictive Modules for CBH
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CBH. 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.CBH 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 CBH etf to make a market-neutral strategy. Peer analysis of CBH could also be used in its relative valuation, which is a method of valuing CBH by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CBH Market Strength Events
Market strength indicators help investors to evaluate how CBH etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CBH shares will generate the highest return on investment. By undertsting and applying CBH etf market strength indicators, traders can identify CBH entry and exit signals to maximize returns.
Currently Active Assets on Macroaxis
| EBR | Centrais Electricas Brasileiras | |
| HE | Hawaiian Electric Industries | |
| VFC | VF Corporation | |
| BVHMF | Vistry Group PLC | |
| S | SentinelOne |
Check out Trending Equities 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 various price indices. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
The market value of CBH is measured differently than its book value, which is the value of CBH that is recorded on the company's balance sheet. Investors also form their own opinion of CBH's value that differs from its market value or its book value, called intrinsic value, which is CBH'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 CBH's market value can be influenced by many factors that don't directly affect CBH'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 CBH's value and its price as these two are different measures arrived at by different means. Investors typically determine if CBH is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, CBH'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.