Columbia Short Duration Etf Market Value
| SBND Etf | USD 18.61 0.01 0.05% |
| Symbol | Columbia |
The market value of Columbia Short Duration 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 Short's value that differs from its market value or its book value, called intrinsic value, which is Columbia Short'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 Short's market value can be influenced by many factors that don't directly affect Columbia Short'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 Short's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia Short is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia Short'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 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 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 Short.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Columbia Short on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Short Duration or generate 0.0% return on investment in Columbia Short over 90 days. Columbia Short is related to or competes with FlexShares Ready, PIMCO Enhanced, RiverFront Strategic, AdvisorShares STAR, and Virtus Newfleet. The fund invests substantially all its assets in securities within the index, which are fixed incomedebt instruments, or... 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 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 Short Duration upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1868 | |||
| Information Ratio | 0.6817 | |||
| Maximum Drawdown | 0.762 | |||
| Value At Risk | (0.27) | |||
| Potential Upside | 0.2716 |
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 | 0.0394 | |||
| Jensen Alpha | 0.0076 | |||
| Total Risk Alpha | 0.0268 | |||
| Sortino Ratio | 0.6142 | |||
| Treynor Ratio | 0.3196 |
Columbia Short Duration Backtested Returns
At this point, Columbia Short is very steady. Columbia Short Duration secures Sharpe Ratio (or Efficiency) of 0.14, which signifies that the etf had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Columbia Short Duration, which you can use to evaluate the volatility of the entity. Please confirm Columbia Short's Downside Deviation of 0.1868, risk adjusted performance of 0.0394, and Mean Deviation of 0.1261 to double-check if the risk estimate we provide is consistent with the expected return of 0.0232%. The etf shows a Beta (market volatility) of 0.0178, 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 | 0.57 |
Modest predictability
Columbia Short Duration has modest predictability. Overlapping area represents the amount of predictability between Columbia Short time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. 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 Duration price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Columbia Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Columbia Short Duration lagged returns against current returns
Autocorrelation, which is Columbia Short 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 Short's etf 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 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 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Short etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbia Short etf 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 etf 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 etf current value and its past values and can show if there is a momentum factor associated with investing in Columbia Short Duration.
Regressed Prices |
| Timeline |
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.When determining whether Columbia Short Duration is a strong investment it is important to analyze Columbia Short's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Columbia Short's future performance. For an informed investment choice regarding Columbia Etf, refer to the following important reports: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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Columbia Short 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.