Columbia Funds Series Fund Statistic Functions Variance

CLNXX Fund  USD 1.00  0.00  0.00%   
Columbia Funds statistic functions tool provides the execution environment for running the Variance function and other technical functions against Columbia Funds. Columbia Funds value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Variance function function is designed to identify and follow existing trends. Columbia Funds statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period and Deviations to execute this module.

Function
Time Period
Deviations
Execute Function
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was nine with a total number of output elements of fifty-two. Columbia Funds Series Variance is a measurement of the price spread between periods of Columbia Funds price series.

Columbia Funds Technical Analysis Modules

Most technical analysis of Columbia Funds help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Columbia from various momentum indicators to cycle indicators. When you analyze Columbia charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Columbia Funds Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Columbia Funds Series. We use our internally-developed statistical techniques to arrive at the intrinsic value of Columbia Funds Series based on widely used predictive technical indicators. In general, we focus on analyzing Columbia Money Market Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Columbia Funds's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Columbia Funds's intrinsic value. In addition to deriving basic predictive indicators for Columbia Funds, we also check how macroeconomic factors affect Columbia Funds price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Funds' 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
1.001.001.00
Details
Intrinsic
Valuation
LowRealHigh
1.001.001.00
Details
Naive
Forecast
LowNextHigh
1.001.001.00
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.001.001.00
Details

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

Did you try this?

Run Idea Breakdown Now

   

Idea Breakdown

Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
All  Next Launch Module

Columbia Funds Series pair trading

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 Funds 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 Funds will appreciate offsetting losses from the drop in the long position's value.

Columbia Funds Pair Trading

Columbia Funds Series Pair Trading Analysis

The ability to find closely correlated positions to Columbia Funds 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 Funds 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 Funds - 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 Funds Series to buy it.
The correlation of Columbia Funds 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 Funds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Funds Series 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 Funds 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

Other Information on Investing in Columbia Money Market Fund

Columbia Funds financial ratios help investors to determine whether Columbia Money Market 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 Funds security.
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges