Columbia Small Mutual Fund Forecast - Polynomial Regression
| CLURX Fund | USD 18.39 0.00 0.00% |
The Polynomial Regression forecasted value of Columbia Small Cap on the next trading day is expected to be 18.56 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.38. Columbia Mutual Fund Forecast is based on your current time horizon.
Columbia |
Columbia Small Polynomial Regression Price Forecast For the 28th of December
Given 90 days horizon, the Polynomial Regression forecasted value of Columbia Small Cap on the next trading day is expected to be 18.56 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.08, and the sum of the absolute errors of 14.38.Please note that although there have been many attempts to predict Columbia Mutual 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 Columbia Small's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Columbia Small Mutual Fund Forecast Pattern
| Backtest Columbia Small | Columbia Small 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 Columbia Small mutual fund data series using in forecasting. Note that when a statistical model is used to represent Columbia Small 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 | 115.6048 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2357 |
| MAPE | Mean absolute percentage error | 0.0138 |
| SAE | Sum of the absolute errors | 14.3757 |
Predictive Modules for Columbia Small
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 Small Cap. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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.Columbia Small 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 Small mutual fund to make a market-neutral strategy. Peer analysis of Columbia Small could also be used in its relative valuation, which is a method of valuing Columbia Small by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Columbia Small Market Strength Events
Market strength indicators help investors to evaluate how Columbia Small mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Columbia Small shares will generate the highest return on investment. By undertsting and applying Columbia Small mutual fund market strength indicators, traders can identify Columbia Small Cap entry and exit signals to maximize returns.
Columbia Small Risk Indicators
The analysis of Columbia Small'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 Small's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting columbia mutual 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.
| Mean Deviation | 0.8029 | |||
| Semi Deviation | 0.6901 | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.45 | |||
| Downside Variance | 0.8145 | |||
| Semi Variance | 0.4762 | |||
| Expected Short fall | (0.99) |
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 Columbia Mutual Fund
Columbia Small financial ratios help investors to determine whether Columbia Mutual 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 Columbia with respect to the benefits of owning Columbia Small security.
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |