Columbia Seligman Munications Fund Market Value
| SCICX Fund | USD 50.54 0.47 0.92% |
| 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.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Columbia Seligman on March 19, 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 30 days. Columbia Seligman is related to or competes with Semiconductors Portfolio. 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 | 1.22 | |||
| Information Ratio | 0.0156 | |||
| Maximum Drawdown | 4.94 | |||
| Value At Risk | (1.73) | |||
| Potential Upside | 1.9 |
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 | 0.0439 | |||
| Jensen Alpha | 0.0032 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0152 | |||
| Treynor Ratio | 0.0479 |
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 0.0195, which signifies that the fund had a 0.0195% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Columbia Seligman Munications, which you can use to evaluate the volatility of the entity. Please confirm Columbia Seligman's Downside Deviation of 1.22, mean deviation of 0.9372, and Risk Adjusted Performance of 0.0439 to double-check if the risk estimate we provide is consistent with the expected return of 0.0225%. The fund shows a Beta (market volatility) of 1.34, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Columbia Seligman will likely underperform.
Auto-correlation | -0.45 |
Modest reverse predictability
Columbia Seligman Munications has modest reverse predictability. Overlapping area represents the amount of predictability between Columbia Seligman time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th of April 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 -0.45 indicates that just about 45.0% of current Columbia Seligman price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.86 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Columbia Seligman in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Columbia Seligman's short interest history, or implied volatility extrapolated from Columbia Seligman options trading.
Currently Active Assets on Macroaxis
Check out Columbia Seligman Correlation, Columbia Seligman Volatility and Columbia Seligman Alpha and Beta module to complement your research on Columbia Seligman. Note that the Columbia Seligman information on this page should be used as a complementary analysis to other Columbia Seligman's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Columbia Seligman technical mutual fund 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, fund market cycles, or different charting patterns.