Columbia Ultra Short Fund Market Value
CUSOX Fund | USD 9.20 0.01 0.11% |
Symbol | Columbia |
Columbia Ultra '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 Ultra'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 Ultra.
05/14/2022 |
| 05/03/2024 |
If you would invest 0.00 in Columbia Ultra on May 14, 2022 and sell it all today you would earn a total of 0.00 from holding Columbia Ultra Short or generate 0.0% return on investment in Columbia Ultra over 720 days. Columbia Ultra is related to or competes with Columbia Integrated, Columbia Integrated, Columbia Integrated, Columbia Integrated, Columbia Integrated, Columbia Integrated, and Columbia High. Under normal circumstances, the fund invests at least 80 percent of its net assets in a diversified portfolio of domesti... More
Columbia Ultra 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 Ultra'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 Ultra Short upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.38) | |||
Maximum Drawdown | 0.5502 | |||
Value At Risk | (0.11) | |||
Potential Upside | 0.1098 |
Columbia Ultra Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Ultra's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Ultra's standard deviation. In reality, there are many statistical measures that can use Columbia Ultra historical prices to predict the future Columbia Ultra's volatility.Risk Adjusted Performance | 0.0794 | |||
Jensen Alpha | 0.0108 | |||
Total Risk Alpha | 0.0035 | |||
Treynor Ratio | (0.52) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Ultra'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 Ultra Short Backtested Returns
We consider Columbia Ultra very steady. Columbia Ultra Short secures Sharpe Ratio (or Efficiency) of 0.21, which signifies that the fund had a 0.21% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Columbia Ultra Short, which you can use to evaluate the volatility of the entity. Please confirm Columbia Ultra's Standard Deviation of 0.0921, risk adjusted performance of 0.0794, and Mean Deviation of 0.0504 to double-check if the risk estimate we provide is consistent with the expected return of 0.0159%. The fund shows a Beta (market volatility) of -0.019, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Columbia Ultra are expected to decrease at a much lower rate. During the bear market, Columbia Ultra is likely to outperform the market.
Auto-correlation | 0.95 |
Excellent predictability
Columbia Ultra Short has excellent predictability. Overlapping area represents the amount of predictability between Columbia Ultra time series from 14th of May 2022 to 9th of May 2023 and 9th of May 2023 to 3rd of May 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 Ultra Short price movement. The serial correlation of 0.95 indicates that approximately 95.0% of current Columbia Ultra price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.95 | |
Spearman Rank Test | 0.98 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Columbia Ultra Short lagged returns against current returns
Autocorrelation, which is Columbia Ultra 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 Ultra's mutual fund expected returns. We can calculate the autocorrelation of Columbia Ultra returns to help us make a trade decision. For example, suppose you find that Columbia Ultra 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 Ultra 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 Ultra mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Ultra 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 Ultra mutual fund over time.
Current vs Lagged Prices |
Timeline |
Columbia Ultra Lagged Returns
When evaluating Columbia Ultra's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Ultra mutual fund have on its future price. Columbia Ultra 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 Ultra autocorrelation shows the relationship between Columbia Ultra mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia Ultra Short.
Regressed Prices |
Timeline |
Pair Trading with Columbia Ultra
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 Ultra 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 Ultra will appreciate offsetting losses from the drop in the long position's value.Moving together with Columbia Mutual Fund
0.71 | ILVBX | Columbia Integrated Large | PairCorr |
Moving against Columbia Mutual Fund
0.41 | LIIAX | Columbia Porate Me | PairCorr |
The ability to find closely correlated positions to Columbia Ultra 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 Ultra 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 Ultra - 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 Ultra Short to buy it.
The correlation of Columbia Ultra 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 Ultra moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Ultra Short 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 Ultra 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 Ultra Correlation, Columbia Ultra Volatility and Columbia Ultra Alpha and Beta module to complement your research on Columbia Ultra. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Columbia Ultra 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.