Columbia College Ag Fund Statistic Functions Beta

CLAGX Fund  USD 11.70  0.02  0.17%   
Columbia College statistic functions tool provides the execution environment for running the Beta function and other technical functions against Columbia College. Columbia College 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 Beta function function is designed to identify and follow existing trends. Columbia College statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Columbia College correlated with the market. If Beta is less than 0 Columbia College generally moves in the opposite direction as compared to the market. If Columbia College Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Columbia College is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Columbia College is generally in the same direction as the market. If Beta > 1 Columbia College moves generally in the same direction as, but more than the movement of the benchmark.

Columbia College Technical Analysis Modules

Most technical analysis of Columbia College 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 College 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 College Ag. We use our internally-developed statistical techniques to arrive at the intrinsic value of Columbia College Ag based on widely used predictive technical indicators. In general, we focus on analyzing Columbia Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Columbia College'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 College's intrinsic value. In addition to deriving basic predictive indicators for Columbia College, we also check how macroeconomic factors affect Columbia College price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Hype
Prediction
LowEstimatedHigh
11.5411.7011.86
Details
Intrinsic
Valuation
LowRealHigh
11.5311.6911.85
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Columbia College. Your research has to be compared to or analyzed against Columbia College's peers to derive any actionable benefits. When done correctly, Columbia College'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 College.

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 Commodity Channel Now

   

Commodity Channel

Use Commodity Channel Index to analyze current equity momentum
All  Next Launch Module

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

Columbia College Pair Trading

Columbia College Ag Pair Trading Analysis

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

Columbia College 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 College security.
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins