Columbia Select Large Fund Market Value
| UMLGX Fund | USD 9.18 0.12 1.32% |
| Symbol | Columbia |
Columbia Select '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 Select'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 Select.
| 01/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Columbia Select on January 24, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Select Large or generate 0.0% return on investment in Columbia Select over 90 days. Columbia Select is related to or competes with Columbia Porate, Columbia Ultra, Columbia Ultra, Columbia Treasury, Multi Manager, Columbia Small, and Columbia. Under normal circumstances, the fund invests at least 80 percent of its net assets in common stocks of U.S More
Columbia Select 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 Select'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 Select Large upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.07 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 4.84 | |||
| Value At Risk | (1.81) | |||
| Potential Upside | 1.53 |
Columbia Select Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Select's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Select's standard deviation. In reality, there are many statistical measures that can use Columbia Select historical prices to predict the future Columbia Select's volatility.| Risk Adjusted Performance | 0.0152 | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0073 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Select'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 Select Large Backtested Returns
We consider Columbia Select not too volatile. Columbia Select Large secures Sharpe Ratio (or Efficiency) of 0.0101, which signifies that the fund had a 0.0101% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Columbia Select Large, which you can use to evaluate the volatility of the entity. Please confirm Columbia Select's Downside Deviation of 1.07, mean deviation of 0.8055, and Risk Adjusted Performance of 0.0152 to double-check if the risk estimate we provide is consistent with the expected return of 0.0107%. The fund shows a Beta (market volatility) of 1.19, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Columbia Select will likely underperform.
Auto-correlation | -0.43 |
Modest reverse predictability
Columbia Select Large has modest reverse predictability. Overlapping area represents the amount of predictability between Columbia Select time series from 24th of January 2024 to 9th of March 2024 and 9th of March 2024 to 23rd 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 Select Large price movement. The serial correlation of -0.43 indicates that just about 43.0% of current Columbia Select price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Columbia Select Large lagged returns against current returns
Autocorrelation, which is Columbia Select 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 Select's mutual fund expected returns. We can calculate the autocorrelation of Columbia Select returns to help us make a trade decision. For example, suppose you find that Columbia Select 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 Select 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 Select mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Select 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 Select mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Columbia Select Lagged Returns
When evaluating Columbia Select's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Select mutual fund have on its future price. Columbia Select 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 Select autocorrelation shows the relationship between Columbia Select mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia Select Large.
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 Select 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 Select's short interest history, or implied volatility extrapolated from Columbia Select options trading.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Columbia Select Correlation, Columbia Select Volatility and Columbia Select Alpha and Beta module to complement your research on Columbia Select. Note that the Columbia Select Large information on this page should be used as a complementary analysis to other Columbia Select's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Columbia Select 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.