Columbia Emerging Markets Etf Market Value
| ECON Etf | USD 21.51 0.01 0.05% |
| Symbol | Columbia |
The market value of Columbia Emerging Markets 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 Emerging's value that differs from its market value or its book value, called intrinsic value, which is Columbia Emerging'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 Emerging's market value can be influenced by many factors that don't directly affect Columbia Emerging'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 Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia Emerging'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 Emerging '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 Emerging'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 Emerging.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in Columbia Emerging on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding Columbia Emerging Markets or generate 0.0% return on investment in Columbia Emerging over 720 days. Columbia Emerging is related to or competes with SPDR SP, WisdomTree Emerging, WisdomTree Emerging, SPDR SP, and Invesco SP. The fund invests at least 80 percent of its net assets in securities of emerging markets consumer companies which compri... More
Columbia Emerging 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 Emerging'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 Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.1 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 6.17 | |||
| Value At Risk | (1.79) | |||
| Potential Upside | 2.06 |
Columbia Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Emerging's standard deviation. In reality, there are many statistical measures that can use Columbia Emerging historical prices to predict the future Columbia Emerging's volatility.| Risk Adjusted Performance | 0.0362 | |||
| Jensen Alpha | 0.0193 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.1898 |
Columbia Emerging Markets Backtested Returns
As of now, Columbia Etf is very steady. Columbia Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.0279, which signifies that the etf had a 0.0279% return per unit of risk over the last 3 months. We have found thirty technical indicators for Columbia Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm Columbia Emerging's Mean Deviation of 0.8017, risk adjusted performance of 0.0362, and Downside Deviation of 1.1 to double-check if the risk estimate we provide is consistent with the expected return of 0.0328%. The etf shows a Beta (market volatility) of 0.22, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Columbia Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Columbia Emerging is expected to be smaller as well.
Auto-correlation | -0.29 |
Weak reverse predictability
Columbia Emerging Markets has weak reverse predictability. Overlapping area represents the amount of predictability between Columbia Emerging time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th of December 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 Emerging Markets price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current Columbia Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.29 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.53 |
Columbia Emerging Markets lagged returns against current returns
Autocorrelation, which is Columbia Emerging 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 Emerging's etf expected returns. We can calculate the autocorrelation of Columbia Emerging returns to help us make a trade decision. For example, suppose you find that Columbia Emerging 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 Emerging 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 Emerging etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Emerging etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbia Emerging etf over time.
Current vs Lagged Prices |
| Timeline |
Columbia Emerging Lagged Returns
When evaluating Columbia Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Emerging etf have on its future price. Columbia Emerging 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 Emerging autocorrelation shows the relationship between Columbia Emerging etf current value and its past values and can show if there is a momentum factor associated with investing in Columbia Emerging Markets.
Regressed Prices |
| Timeline |
Pair Trading with Columbia Emerging
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Columbia Emerging position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Columbia Emerging will appreciate offsetting losses from the drop in the long position's value.Moving together with Columbia Etf
| 0.95 | VWO | Vanguard FTSE Emerging | PairCorr |
| 0.99 | IEMG | iShares Core MSCI | PairCorr |
| 0.96 | EMC | Global X Funds | PairCorr |
| 0.99 | EEM | iShares MSCI Emerging | PairCorr |
| 0.94 | SPEM | SPDR Portfolio Emerging | PairCorr |
Moving against Columbia Etf
| 0.54 | GBTC | Grayscale Bitcoin Trust | PairCorr |
| 0.37 | FNGU | MicroSectors FANG Index | PairCorr |
| 0.37 | FNGO | MicroSectors FANG Index | PairCorr |
| 0.37 | FNGS | MicroSectors FANG ETN | PairCorr |
The ability to find closely correlated positions to Columbia Emerging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Columbia Emerging when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Columbia Emerging - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Columbia Emerging Markets to buy it.
The correlation of Columbia Emerging is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Columbia Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Emerging Markets moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Columbia Emerging can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Columbia Emerging Correlation, Columbia Emerging Volatility and Columbia Emerging Alpha and Beta module to complement your research on Columbia Emerging. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Columbia Emerging 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.