Columbia College Ag Fund Market Value
| CLAGX Fund | USD 11.68 0.01 0.09% |
| Symbol | Columbia |
Please note, there is a significant difference between Columbia College's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia College is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia College'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 College '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 College's mutual fund 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 College.
| 06/07/2024 |
| 12/04/2024 |
If you would invest 0.00 in Columbia College on June 7, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia College Ag or generate 0.0% return on investment in Columbia College over 180 days. Columbia College is related to or competes with Alger Health, Live Oak, Eventide Healthcare, Baillie Gifford, Tekla Healthcare, and Blackrock Health. Columbia College is entity of United States More
Columbia College 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 College's mutual fund 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 College Ag upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1953 | |||
| Information Ratio | (0.70) | |||
| Maximum Drawdown | 0.853 | |||
| Value At Risk | (0.26) | |||
| Potential Upside | 0.2573 |
Columbia College Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia College's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia College's standard deviation. In reality, there are many statistical measures that can use Columbia College historical prices to predict the future Columbia College's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.55) | |||
| Treynor Ratio | (0.42) |
Columbia College Backtested Returns
Columbia College secures Sharpe Ratio (or Efficiency) of -0.0169, which signifies that the fund had a -0.0169% return per unit of risk over the last 3 months. Columbia College Ag exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Columbia College's Mean Deviation of 0.1032, risk adjusted performance of (0.01), and Downside Deviation of 0.1953 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0111, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Columbia College's returns are expected to increase less than the market. However, during the bear market, the loss of holding Columbia College is expected to be smaller as well.
Auto-correlation | -0.78 |
Almost perfect reverse predictability
Columbia College Ag has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Columbia College time series from 7th of June 2024 to 5th of September 2024 and 5th of September 2024 to 4th 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 College price movement. The serial correlation of -0.78 indicates that around 78.0% of current Columbia College price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.78 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Columbia College lagged returns against current returns
Autocorrelation, which is Columbia College mutual fund'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 College's mutual fund expected returns. We can calculate the autocorrelation of Columbia College returns to help us make a trade decision. For example, suppose you find that Columbia College has exhibited high autocorrelation historically, and you observe that the mutual fund 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 College 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 College mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia College mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbia College mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Columbia College Lagged Returns
When evaluating Columbia College's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia College mutual fund have on its future price. Columbia College 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 College autocorrelation shows the relationship between Columbia College mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia College Ag.
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.Other Information on Investing in Columbia Mutual Fund
Columbia College financial ratios help investors to determine whether Columbia Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Columbia with respect to the benefits of owning Columbia College security.
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios |