Columbia Short Term Fund Ten Year Return
| CNNRX Fund | USD 10.02 0.01 0.1% |
Columbia Short Term fundamentals help investors to digest information that contributes to Columbia Short's financial success or failures. It also enables traders to predict the movement of Columbia Mutual Fund. The fundamental analysis module provides a way to measure Columbia Short's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Columbia Short mutual fund.
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Columbia Short Term Mutual Fund Ten Year Return Analysis
Columbia Short's Ten Year Return shows the total annualized return generated from holding a fund for the last 10 years and represents fund's capital appreciation, including dividends losses and capital gains distributions. This return indicator is considered by many investors to be the ultimate measures of fund performance and can reflect the overall performance of the market or market segment it invests in.
More About Ten Year Return | All Equity Analysis
Ten Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Current Columbia Short Ten Year Return | 1.27 % |
Most of Columbia Short's fundamental indicators, such as Ten Year Return, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Columbia Short Term is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Although Ten Year Fund Return indicator can give a sense of overall fund long-term potential, it is recommended to compare funds performances against other similar funds or market benchmarks for the same 10-year interval.
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Based on the latest financial disclosure, Columbia Short Term has a Ten Year Return of 1.27%. This is 85.23% lower than that of the Columbia family and significantly higher than that of the Muni National Short category. The ten year return for all United States funds is notably lower than that of the firm.
Columbia Ten Year Return Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Columbia Short's direct or indirect competition against its Ten Year Return to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Columbia Short could also be used in its relative valuation, which is a method of valuing Columbia Short by comparing valuation metrics of similar companies.Columbia Short is currently under evaluation in ten year return among similar funds.
Fund Asset Allocation for Columbia Short
The fund consists of 88.18% investments in fixed income securities, with the rest of funds allocated in cash.Asset allocation divides Columbia Short's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Columbia Fundamentals
| Total Asset | 715.24 M | |||
| Annual Yield | 0.0009 % | |||
| Year To Date Return | 0.16 % | |||
| One Year Return | 2.62 % | |||
| Three Year Return | 0.32 % | |||
| Five Year Return | 1.07 % | |||
| Ten Year Return | 1.27 % | |||
| Net Asset | 1.04 B | |||
| Last Dividend Paid | 0.01 | |||
| Cash Position Weight | 11.82 % | |||
| Bond Positions Weight | 88.18 % |
About Columbia Short Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Columbia Short Term's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Columbia Short using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Columbia Short Term based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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 Short 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 Short's short interest history, or implied volatility extrapolated from Columbia Short options trading.
Pair Trading with Columbia Short
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 Short 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 Short will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Columbia Short 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 Short 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 Short - 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 Short Term to buy it.
The correlation of Columbia Short 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 Short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Short Term 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 Short 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Columbia Short Term. 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 metropolitan statistical area. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.