Columbia Seligman Global Fund Market Value
| CGTYX Fund | USD 89.01 1.18 1.34% |
| Symbol | Columbia |
Columbia Seligman '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 Seligman'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 Seligman.
| 11/09/2024 |
| 12/09/2024 |
If you would invest 0.00 in Columbia Seligman on November 9, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Seligman Global or generate 0.0% return on investment in Columbia Seligman over 30 days. Columbia Seligman is related to or competes with Prudential Jennison, Transamerica Financial, Fidelity Advisor, Vanguard Financials, John Hancock, and Rmb Mendon. The fund generally invests at least 80 percent of its net assets in equity securities of U.S More
Columbia Seligman 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 Seligman'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 Seligman Global upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.16 | |||
| Information Ratio | 0.1057 | |||
| Maximum Drawdown | 5.16 | |||
| Value At Risk | (1.70) | |||
| Potential Upside | 1.75 |
Columbia Seligman Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Seligman's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Seligman's standard deviation. In reality, there are many statistical measures that can use Columbia Seligman historical prices to predict the future Columbia Seligman's volatility.| Risk Adjusted Performance | 0.177 | |||
| Jensen Alpha | 0.1176 | |||
| Total Risk Alpha | 0.0534 | |||
| Sortino Ratio | 0.0997 | |||
| Treynor Ratio | 0.2503 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Seligman'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 Seligman Global Backtested Returns
Columbia Seligman appears to be very steady, given 3 months investment horizon. Columbia Seligman Global secures Sharpe Ratio (or Efficiency) of 0.28, which signifies that the fund had a 0.28% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Columbia Seligman Global, which you can use to evaluate the volatility of the entity. Please makes use of Columbia Seligman's Mean Deviation of 0.81, downside deviation of 1.16, and Risk Adjusted Performance of 0.177 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.98, which signifies possible diversification benefits within a given portfolio. Columbia Seligman returns are very sensitive to returns on the market. As the market goes up or down, Columbia Seligman is expected to follow.
Auto-correlation | 0.20 |
Weak predictability
Columbia Seligman Global has weak predictability. Overlapping area represents the amount of predictability between Columbia Seligman time series from 9th of November 2024 to 24th of November 2024 and 24th of November 2024 to 9th 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 Seligman Global price movement. The serial correlation of 0.2 indicates that over 20.0% of current Columbia Seligman price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 1.66 |
Columbia Seligman Global lagged returns against current returns
Autocorrelation, which is Columbia Seligman 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 Seligman's mutual fund expected returns. We can calculate the autocorrelation of Columbia Seligman returns to help us make a trade decision. For example, suppose you find that Columbia Seligman 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 Seligman 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 Seligman mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Seligman 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 Seligman mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Columbia Seligman Lagged Returns
When evaluating Columbia Seligman's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Seligman mutual fund have on its future price. Columbia Seligman 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 Seligman autocorrelation shows the relationship between Columbia Seligman mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia Seligman Global.
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 Seligman 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 Seligman security.
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |