Columbia Mid Cap Fund Market Value
| CMUAX Fund | USD 13.30 0.03 0.23% |
| Symbol | Columbia |
Columbia Mid '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 Mid'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 Mid.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Columbia Mid on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Mid Cap or generate 0.0% return on investment in Columbia Mid over 30 days. Columbia Mid is related to or competes with Columbia Ultra, Columbia Integrated, Columbia Integrated, Columbia Integrated, Columbia Integrated, Columbia Integrated, and Columbia Integrated. Under normal circumstances, the fund invests at least 80 percent of its net assets in equity securities of companies tha... More
Columbia Mid 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 Mid'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 Mid Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8907 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 3.52 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.3 |
Columbia Mid Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Mid's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Mid's standard deviation. In reality, there are many statistical measures that can use Columbia Mid historical prices to predict the future Columbia Mid's volatility.| Risk Adjusted Performance | 0.0567 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0498 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Mid'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 Mid Cap Backtested Returns
We consider Columbia Mid very steady. Columbia Mid Cap secures Sharpe Ratio (or Efficiency) of 0.0748, which signifies that the fund had a 0.0748% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Columbia Mid Cap, which you can use to evaluate the volatility of the entity. Please confirm Columbia Mid's Downside Deviation of 0.8907, mean deviation of 0.5746, and Risk Adjusted Performance of 0.0567 to double-check if the risk estimate we provide is consistent with the expected return of 0.0562%. The fund shows a Beta (market volatility) of 1.14, which signifies a somewhat significant risk relative to the market. Columbia Mid returns are very sensitive to returns on the market. As the market goes up or down, Columbia Mid is expected to follow.
Auto-correlation | -0.21 |
Weak reverse predictability
Columbia Mid Cap has weak reverse predictability. Overlapping area represents the amount of predictability between Columbia Mid time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Mid Cap price movement. The serial correlation of -0.21 indicates that over 21.0% of current Columbia Mid price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Columbia Mid Cap lagged returns against current returns
Autocorrelation, which is Columbia Mid 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 Mid's mutual fund expected returns. We can calculate the autocorrelation of Columbia Mid returns to help us make a trade decision. For example, suppose you find that Columbia Mid 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 Mid 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 Mid mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Mid 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 Mid mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Columbia Mid Lagged Returns
When evaluating Columbia Mid's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Mid mutual fund have on its future price. Columbia Mid 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 Mid autocorrelation shows the relationship between Columbia Mid mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia Mid Cap.
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 Mid 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 Mid's short interest history, or implied volatility extrapolated from Columbia Mid options trading.
Pair Trading with Columbia Mid
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Columbia Mid position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Columbia Mid will appreciate offsetting losses from the drop in the long position's value.Moving together with Columbia Mutual Fund
| 0.86 | CUSOX | Columbia Ultra Short | PairCorr |
| 0.92 | ILGCX | Columbia Integrated Large | PairCorr |
| 0.92 | ILGEX | Columbia Integrated Large | PairCorr |
| 0.92 | ILGDX | Columbia Integrated Large | PairCorr |
| 0.92 | ILGGX | Columbia Integrated Large | PairCorr |
The ability to find closely correlated positions to Columbia Mid could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Columbia Mid when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Columbia Mid - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Columbia Mid Cap to buy it.
The correlation of Columbia Mid is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Columbia Mid moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Mid Cap moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Columbia Mid can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Columbia Mid Correlation, Columbia Mid Volatility and Columbia Mid Alpha and Beta module to complement your research on Columbia Mid. Note that the Columbia Mid Cap information on this page should be used as a complementary analysis to other Columbia Mid'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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Columbia Mid 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.