Columbia Seligman Munications Fund Market Value
| SLMCX Fund | USD 131.56 0.18 0.14% |
| 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.
| 04/21/2024 |
| 06/20/2024 |
If you would invest 0.00 in Columbia Seligman on April 21, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Seligman Munications or generate 0.0% return on investment in Columbia Seligman over 60 days. Columbia Seligman is related to or competes with Technology Portfolio, Fidelity Select, Software And, Ivy Science, and Ivy Science. Under normal market conditions, the fund invests at least 80 percent of its net assets in securities of technology and i... 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 Munications upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.13 | |||
| Information Ratio | 0.1664 | |||
| Maximum Drawdown | 4.49 | |||
| Value At Risk | (1.73) | |||
| Potential Upside | 1.8 |
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 | 0.1149 | |||
| Jensen Alpha | 0.1733 | |||
| Total Risk Alpha | 0.172 | |||
| Sortino Ratio | 0.1529 | |||
| Treynor Ratio | 0.1662 |
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 Backtested Returns
We consider Columbia Seligman very steady. Columbia Seligman secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the fund had a 0.13% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Columbia Seligman Munications, which you can use to evaluate the volatility of the entity. Please confirm Columbia Seligman's Mean Deviation of 0.8001, downside deviation of 1.13, and Risk Adjusted Performance of 0.1149 to double-check if the risk estimate we provide is consistent with the expected return of 0.14%. The fund shows a Beta (market volatility) of 1.06, which signifies a somewhat significant risk relative to the market. 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 | 0.87 |
Very good predictability
Columbia Seligman Munications has very good predictability. Overlapping area represents the amount of predictability between Columbia Seligman time series from 21st of April 2024 to 21st of May 2024 and 21st of May 2024 to 20th of June 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 price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current Columbia Seligman price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 5.17 |
Columbia Seligman 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 Munications.
Regressed Prices |
| Timeline |
Also Currently Popular
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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.
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