Columbia Income Builder Fund Market Value
| RBBCX Fund | USD 11.19 0.04 0.36% |
| Symbol | Columbia |
Columbia Income '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 Income'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 Income.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Columbia Income on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Income Builder or generate 0.0% return on investment in Columbia Income over 30 days. Columbia Income is related to or competes with Vanguard Wellesley, Blackrock Multi, and The Hartford. The fund is a fund of funds and seeks to achieve its objective by investing in a combination of underlying funds, includ... More
Columbia Income 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 Income'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 Income Builder upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 2.12 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 0.5357 |
Columbia Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Income's standard deviation. In reality, there are many statistical measures that can use Columbia Income historical prices to predict the future Columbia Income's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.03) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Income'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 Me Builder Backtested Returns
Columbia Me Builder secures Sharpe Ratio (or Efficiency) of -0.0277, which signifies that the fund had a -0.0277% return per unit of risk over the last 3 months. Columbia Income Builder exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Columbia Income's Risk Adjusted Performance of (0.01), standard deviation of 0.4255, and Mean Deviation of 0.305 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.51, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Columbia Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Columbia Income is expected to be smaller as well.
Auto-correlation | 0.51 |
Modest predictability
Columbia Income Builder has modest predictability. Overlapping area represents the amount of predictability between Columbia Income time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Me Builder price movement. The serial correlation of 0.51 indicates that about 51.0% of current Columbia Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Columbia Me Builder lagged returns against current returns
Autocorrelation, which is Columbia Income 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 Income's mutual fund expected returns. We can calculate the autocorrelation of Columbia Income returns to help us make a trade decision. For example, suppose you find that Columbia Income 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 Income 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 Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Income 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 Income mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Columbia Income Lagged Returns
When evaluating Columbia Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Income mutual fund have on its future price. Columbia Income 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 Income autocorrelation shows the relationship between Columbia Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia Income Builder.
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 Income 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 Income's short interest history, or implied volatility extrapolated from Columbia Income options trading.
Currently Active Assets on Macroaxis
Check out Columbia Income Correlation, Columbia Income Volatility and Columbia Income Alpha and Beta module to complement your research on Columbia Income. Note that the Columbia Me Builder information on this page should be used as a complementary analysis to other Columbia Income'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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Columbia Income 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.