Columbia Em Core Etf Market Value
| XCEM Etf | USD 31.33 0.11 0.35% |
| Symbol | Columbia |
The market value of Columbia EM Core 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's value that differs from its market value or its book value, called intrinsic value, which is Columbia'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's market value can be influenced by many factors that don't directly affect Columbia'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's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia'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 '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'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.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Columbia on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia EM Core or generate 0.0% return on investment in Columbia over 30 days. Columbia is related to or competes with IShares MSCI, Hartford Multifactor, SPDR MSCI, FlexShares Morningstar, and Xtrackers MSCI. The fund will invest at least 80 percent of its net assets in the companies included in the index and the advisor genera... More
Columbia 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'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 EM Core upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 3.94 | |||
| Value At Risk | (1.42) | |||
| Potential Upside | 1.16 |
Columbia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia's standard deviation. In reality, there are many statistical measures that can use Columbia historical prices to predict the future Columbia's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.18) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia'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 EM Core Backtested Returns
Columbia EM Core secures Sharpe Ratio (or Efficiency) of -0.0706, which signifies that the etf had a -0.0706% return per unit of risk over the last 3 months. Columbia EM Core exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Columbia's Risk Adjusted Performance of (0.06), standard deviation of 0.8733, and Mean Deviation of 0.6697 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.46, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Columbia's returns are expected to increase less than the market. However, during the bear market, the loss of holding Columbia is expected to be smaller as well.
Auto-correlation | 0.14 |
Insignificant predictability
Columbia EM Core has insignificant predictability. Overlapping area represents the amount of predictability between Columbia time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 EM Core price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Columbia price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Columbia EM Core lagged returns against current returns
Autocorrelation, which is Columbia 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's etf expected returns. We can calculate the autocorrelation of Columbia returns to help us make a trade decision. For example, suppose you find that Columbia 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 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 is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia 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 over time.
Current vs Lagged Prices |
| Timeline |
Columbia Lagged Returns
When evaluating Columbia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia etf have on its future price. Columbia 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 autocorrelation shows the relationship between Columbia etf current value and its past values and can show if there is a momentum factor associated with investing in Columbia EM Core.
Regressed Prices |
| Timeline |
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Columbia 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.