Columbia Balanced Mutual Fund Forecast - Polynomial Regression
Columbia Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Columbia Balanced stock prices and determine the direction of Columbia Balanced Fund's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Columbia Balanced's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis. Columbia |
Most investors in Columbia Balanced 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 Balanced's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Columbia Balanced's price structures and extracts relationships that further increase the generated results' accuracy.
Columbia Balanced polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Columbia Balanced Fund as well as the accuracy indicators are determined from the period prices. A single variable polynomial regression model attempts to put a curve through the Columbia Balanced 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*XmPredictive Modules for Columbia Balanced
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 Balanced. 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 Balanced'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.
Other Forecasting Options for Columbia Balanced
For every potential investor in Columbia, whether a beginner or expert, Columbia Balanced'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 Balanced's price trends.Columbia Balanced 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 Balanced mutual fund to make a market-neutral strategy. Peer analysis of Columbia Balanced could also be used in its relative valuation, which is a method of valuing Columbia Balanced by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Columbia Balanced 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 Balanced'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 Balanced's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Columbia Balanced Market Strength Events
Market strength indicators help investors to evaluate how Columbia Balanced 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 Balanced shares will generate the highest return on investment. By undertsting and applying Columbia Balanced mutual fund market strength indicators, traders can identify Columbia Balanced Fund entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 51.45 | |||
| Day Typical Price | 51.45 | |||
| Price Action Indicator | (0.02) | |||
| Period Momentum Indicator | (0.04) | |||
| Relative Strength Index | 62.02 |
Columbia Balanced Risk Indicators
The analysis of Columbia Balanced'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 Balanced'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 | 0.4049 | |||
| Semi Deviation | 0.3259 | |||
| Standard Deviation | 0.5062 | |||
| Variance | 0.2562 | |||
| Downside Variance | 0.2029 | |||
| Semi Variance | 0.1062 | |||
| Expected Short fall | (0.50) |
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.Check out Historical Fundamental Analysis of Columbia Balanced to cross-verify your projections. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.