Columbia ETF Etf Forecast - Simple Exponential Smoothing
| NJNK Etf | 20.20 0.04 0.20% |
The Simple Exponential Smoothing forecasted value of Columbia ETF Trust on the next trading day is expected to be 20.20 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.88. Columbia Etf Forecast is based on your current time horizon.
Columbia |
Columbia ETF Simple Exponential Smoothing Price Forecast For the 30th of November
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Columbia ETF Trust on the next trading day is expected to be 20.20 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.88.Please note that although there have been many attempts to predict Columbia 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 Columbia ETF's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Columbia ETF Etf Forecast Pattern
| Backtest Columbia ETF | Columbia ETF Price Prediction | Buy or Sell Advice |
Columbia ETF Forecasted Value
In the context of forecasting Columbia ETF's Etf 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. Columbia ETF's downside and upside margins for the forecasting period are 0.20 and 147.20, respectively. We have considered Columbia ETF'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.
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 Columbia ETF etf data series using in forecasting. Note that when a statistical model is used to represent Columbia ETF 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 | 109.7456 |
| Bias | Arithmetic mean of the errors | -0.005 |
| MAD | Mean absolute deviation | 0.0313 |
| MAPE | Mean absolute percentage error | 0.0016 |
| SAE | Sum of the absolute errors | 1.88 |
Predictive Modules for Columbia ETF
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Columbia ETF Trust. 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.Other Forecasting Options for Columbia ETF
For every potential investor in Columbia, whether a beginner or expert, Columbia ETF's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Columbia Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Columbia. Basic forecasting techniques help filter out the noise by identifying Columbia ETF's price trends.Columbia ETF 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 Columbia ETF etf to make a market-neutral strategy. Peer analysis of Columbia ETF could also be used in its relative valuation, which is a method of valuing Columbia ETF by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Columbia ETF Trust Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Columbia ETF'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 Columbia ETF's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Columbia ETF Market Strength Events
Market strength indicators help investors to evaluate how Columbia ETF etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Columbia ETF shares will generate the highest return on investment. By undertsting and applying Columbia ETF etf market strength indicators, traders can identify Columbia ETF Trust entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 20.2 | |||
| Day Typical Price | 20.2 | |||
| Price Action Indicator | 0.02 | |||
| Period Momentum Indicator | 0.04 |
Columbia ETF Risk Indicators
The analysis of Columbia ETF'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 Columbia ETF's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting columbia 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 | 0.1505 | |||
| Semi Deviation | 0.1035 | |||
| Standard Deviation | 0.1882 | |||
| Variance | 0.0354 | |||
| Downside Variance | 0.0415 | |||
| Semi Variance | 0.0107 | |||
| Expected Short fall | (0.17) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Columbia ETF to cross-verify your projections. For more information on how to buy Columbia Etf please use our How to buy in Columbia Etf guide.You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
The market value of Columbia ETF Trust is measured differently than its book value, which is the value of Columbia that is recorded on the company's balance sheet. Investors also form their own opinion of Columbia ETF's value that differs from its market value or its book value, called intrinsic value, which is Columbia ETF'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 Columbia ETF's market value can be influenced by many factors that don't directly affect Columbia ETF'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 Columbia ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia ETF'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.