Columbia Etf Trust Etf Market Value
| RECS Etf | USD 33.82 0.33 0.97% |
| Symbol | Columbia |
The market value of Columbia ETF Trust 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 ETF's value that differs from its market value or its book value, called intrinsic value, which is Columbia ETF'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 ETF's market value can be influenced by many factors that don't directly affect Columbia ETF'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 ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia ETF'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 ETF '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 ETF'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 ETF.
| 12/27/2024 |
| 03/27/2025 |
If you would invest 0.00 in Columbia ETF on December 27, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia ETF Trust or generate 0.0% return on investment in Columbia ETF over 90 days. Columbia ETF is related to or competes with Columbia Research, RiverFront Dynamic, PIMCO RAFI, DBX ETF, and RiverFront Dynamic. The fund invests at least 80 percent of its assets in the securities of the index More
Columbia ETF 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 ETF'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 ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 4.41 | |||
| Value At Risk | (1.60) | |||
| Potential Upside | 1.65 |
Columbia ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia ETF's standard deviation. In reality, there are many statistical measures that can use Columbia ETF historical prices to predict the future Columbia ETF's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia ETF'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 ETF Trust Backtested Returns
Columbia ETF Trust secures Sharpe Ratio (or Efficiency) of -0.0568, which signifies that the etf had a -0.0568 % return per unit of risk over the last 3 months. Columbia ETF Trust exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Columbia ETF's Standard Deviation of 0.9813, risk adjusted performance of (0.06), and Mean Deviation of 0.7751 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.92, which signifies possible diversification benefits within a given portfolio. Columbia ETF returns are very sensitive to returns on the market. As the market goes up or down, Columbia ETF is expected to follow.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
Columbia ETF Trust has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Columbia ETF time series from 27th of December 2024 to 10th of February 2025 and 10th of February 2025 to 27th 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 ETF Trust price movement. The serial correlation of -0.74 indicates that around 74.0% of current Columbia ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.74 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 1.22 |
Columbia ETF Trust lagged returns against current returns
Autocorrelation, which is Columbia ETF 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 ETF's etf expected returns. We can calculate the autocorrelation of Columbia ETF returns to help us make a trade decision. For example, suppose you find that Columbia ETF 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 ETF 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 ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbia ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Columbia ETF Lagged Returns
When evaluating Columbia ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia ETF etf have on its future price. Columbia ETF 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 ETF autocorrelation shows the relationship between Columbia ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Columbia ETF Trust.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Columbia ETF Correlation, Columbia ETF Volatility and Columbia ETF Alpha and Beta module to complement your research on Columbia ETF. For more information on how to buy Columbia Etf please use our How to Invest in Columbia ETF guide.You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Columbia ETF 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.