Columbia Small Mutual Fund Forecast - Polynomial Regression

CHHRX Fund  USD 28.00  0.09  0.32%   
The Polynomial Regression forecasted value of Columbia Small Cap on the next trading day is expected to be 27.83 with a mean absolute deviation of  0.24  and the sum of the absolute errors of 14.54. Columbia Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Columbia Small stock prices and determine the direction of Columbia Small Cap's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Columbia Small's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Columbia Small to cross-verify your projections.
  
Most investors in Columbia Small cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Columbia Small's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Columbia Small's price structures and extracts relationships that further increase the generated results' accuracy.
Columbia Small polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Columbia Small Cap as well as the accuracy indicators are determined from the period prices.

Columbia Small Polynomial Regression Price Forecast For the 30th of March

Given 90 days horizon, the Polynomial Regression forecasted value of Columbia Small Cap on the next trading day is expected to be 27.83 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.08, and the sum of the absolute errors of 14.54.
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 SmallColumbia Small Price PredictionBuy or Sell Advice 

Columbia Small Forecasted Value

In the context of forecasting Columbia Small's Mutual Fund 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 Small's downside and upside margins for the forecasting period are 26.63 and 29.02, respectively. We have considered Columbia Small'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.
Market Value
28.00
27.83
Expected Value
29.02
Upside

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.
AICAkaike Information Criteria115.625
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2383
MAPEMean absolute percentage error0.0092
SAESum of the absolute errors14.5382
A single variable polynomial regression model attempts to put a curve through the Columbia Small 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

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Small's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
26.8128.0029.19
Details
Intrinsic
Valuation
LowRealHigh
25.2030.6631.85
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Columbia Small. Your research has to be compared to or analyzed against Columbia Small's peers to derive any actionable benefits. When done correctly, Columbia Small's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Columbia Small Cap.

Other Forecasting Options for Columbia Small

For every potential investor in Columbia, whether a beginner or expert, Columbia Small's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Columbia Mutual Fund 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 Small's price trends.

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 Cap Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Columbia Small'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 Small's current price.

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.
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Columbia Small in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Columbia Small's short interest history, or implied volatility extrapolated from Columbia Small options trading.

Pair Trading with Columbia Small

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Columbia Small position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Columbia Small will appreciate offsetting losses from the drop in the long position's value.

Moving together with Columbia Mutual Fund

  0.72USG USCF Gold Strategy Symbol ChangePairCorr
  0.86CLWFX Columbia Large CapPairCorr
  0.93CLXRX Columbia Large CapPairCorr
  0.85CUSHX Columbia Ultra ShortPairCorr
The ability to find closely correlated positions to Columbia Small could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Columbia Small when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Columbia Small - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Columbia Small Cap to buy it.
The correlation of Columbia Small is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Columbia Small moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Small Cap moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Columbia Small can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Historical Fundamental Analysis of Columbia Small to cross-verify your projections.
You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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Please note, there is a significant difference between Columbia Small's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia Small is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia Small'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.