Columbia Short Term Fund Market Value
| CNNRX Fund | USD 10.04 0.01 0.1% |
| Symbol | Columbia |
Columbia Short 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Columbia Short's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Columbia Short.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Columbia Short on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Short Term or generate 0.0% return on investment in Columbia Short over 30 days. Columbia Short is related to or competes with Columbia Porate, Columbia Ultra, Columbia Ultra, Columbia Treasury, Multi Manager, Columbia Small, and Columbia Treasury. Under normal circumstances, the fund invests at least 80 percent of its net assets in securities that pay interest exemp... More
Columbia Short Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Columbia Short's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Columbia Short Term upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1192 | |||
| Information Ratio | (0.72) | |||
| Maximum Drawdown | 0.598 | |||
| Value At Risk | (0.1) | |||
| Potential Upside | 0.1988 |
Columbia Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Short's standard deviation. In reality, there are many statistical measures that can use Columbia Short historical prices to predict the future Columbia Short's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.58) | |||
| Treynor Ratio | (0.36) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Short'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.
Columbia Short Term Backtested Returns
We consider Columbia Short very steady. Columbia Short Term secures Sharpe Ratio (or Efficiency) of 0.0682, which signifies that the fund had a 0.0682% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Columbia Short Term, which you can use to evaluate the volatility of the entity. Please confirm Columbia Short's Risk Adjusted Performance of (0.05), downside deviation of 0.1192, and Mean Deviation of 0.0573 to double-check if the risk estimate we provide is consistent with the expected return of 0.0065%. The fund shows a Beta (market volatility) of 0.0276, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Columbia Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding Columbia Short is expected to be smaller as well.
Auto-correlation | 0.53 |
Modest predictability
Columbia Short Term has modest predictability. Overlapping area represents the amount of predictability between Columbia Short time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Columbia Short Term price movement. The serial correlation of 0.53 indicates that about 53.0% of current Columbia Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.53 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Columbia Short Term lagged returns against current returns
Autocorrelation, which is Columbia Short mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Columbia Short's mutual fund expected returns. We can calculate the autocorrelation of Columbia Short returns to help us make a trade decision. For example, suppose you find that Columbia Short has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Columbia Short regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Columbia Short mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Short mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbia Short mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Columbia Short Lagged Returns
When evaluating Columbia Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Short mutual fund have on its future price. Columbia Short autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Columbia Short autocorrelation shows the relationship between Columbia Short mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia Short Term.
Regressed Prices |
| Timeline |
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.Moving together with Columbia Mutual Fund
| 0.63 | CDAZX | Multi Manager Direct | PairCorr |
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 Columbia Short Correlation, Columbia Short Volatility and Columbia Short Alpha and Beta module to complement your research on Columbia Short. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Columbia Short technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.