Columbia Multi Sector Municipal Etf Market Value
| MUST Etf | USD 20.76 0.06 0.29% |
| Symbol | Columbia |
The market value of Columbia Multi Sector is measured differently than its book value, which is the value of Columbia that is recorded on the company's balance sheet. Investors also form their own opinion of Columbia Multi's value that differs from its market value or its book value, called intrinsic value, which is Columbia Multi's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Columbia Multi's market value can be influenced by many factors that don't directly affect Columbia Multi's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Columbia Multi's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia Multi is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia Multi's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Columbia Multi '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 Multi's etf 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 Multi.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Columbia Multi on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Multi Sector Municipal or generate 0.0% return on investment in Columbia Multi over 30 days. Columbia Multi is related to or competes with IQ MacKay, IQ MacKay, American Century, Hartford Municipal, and Franklin Liberty. The fund will invest at least 80 percent of its assets in securities within the index More
Columbia Multi 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 Multi's etf 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 Multi Sector Municipal upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4034 | |||
| Information Ratio | (0.28) | |||
| Maximum Drawdown | 2.34 | |||
| Value At Risk | (0.53) | |||
| Potential Upside | 0.6369 |
Columbia Multi Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Multi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Multi's standard deviation. In reality, there are many statistical measures that can use Columbia Multi historical prices to predict the future Columbia Multi's volatility.| Risk Adjusted Performance | 0.0192 | |||
| Jensen Alpha | 0.0063 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.27) | |||
| Treynor Ratio | (0.34) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Multi'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 Multi Sector Backtested Returns
Currently, Columbia Multi Sector Municipal is very steady. Columbia Multi Sector secures Sharpe Ratio (or Efficiency) of 0.0488, which signifies that the etf had a 0.0488% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Columbia Multi Sector Municipal, which you can use to evaluate the volatility of the entity. Please confirm Columbia Multi's Mean Deviation of 0.301, downside deviation of 0.4034, and Risk Adjusted Performance of 0.0192 to double-check if the risk estimate we provide is consistent with the expected return of 0.0189%. The etf shows a Beta (market volatility) of -0.0139, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Columbia Multi are expected to decrease at a much lower rate. During the bear market, Columbia Multi is likely to outperform the market.
Auto-correlation | 0.60 |
Good predictability
Columbia Multi Sector Municipal has good predictability. Overlapping area represents the amount of predictability between Columbia Multi time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 Multi Sector price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Columbia Multi price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Columbia Multi Sector lagged returns against current returns
Autocorrelation, which is Columbia Multi etf'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 Multi's etf expected returns. We can calculate the autocorrelation of Columbia Multi returns to help us make a trade decision. For example, suppose you find that Columbia Multi has exhibited high autocorrelation historically, and you observe that the etf 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 Multi 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 Multi etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Multi etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbia Multi etf over time.
Current vs Lagged Prices |
| Timeline |
Columbia Multi Lagged Returns
When evaluating Columbia Multi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Multi etf have on its future price. Columbia Multi 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 Multi autocorrelation shows the relationship between Columbia Multi etf current value and its past values and can show if there is a momentum factor associated with investing in Columbia Multi Sector Municipal.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Columbia Multi Correlation, Columbia Multi Volatility and Columbia Multi Alpha and Beta module to complement your research on Columbia Multi. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Columbia Multi technical etf 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, etf market cycles, or different charting patterns.