Columbia Vertible Securities Fund Market Value
| CSFYX Fund | USD 24.43 0.26 1.08% |
| Symbol | Columbia |
Columbia Vertible '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 Vertible'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 Vertible.
| 05/15/2025 |
| 08/13/2025 |
If you would invest 0.00 in Columbia Vertible on May 15, 2025 and sell it all today you would earn a total of 0.00 from holding Columbia Vertible Securities or generate 0.0% return on investment in Columbia Vertible over 90 days. Columbia Vertible is related to or competes with Tweedy Browne, Blackrock Exchange, and Ashmore Emerging. Under normal circumstances, the fund invests at least 80 percent of its net assets in convertible securities More
Columbia Vertible 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 Vertible'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 Vertible Securities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4555 | |||
| Information Ratio | 0.057 | |||
| Maximum Drawdown | 2.79 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.9927 |
Columbia Vertible Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Vertible's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Vertible's standard deviation. In reality, there are many statistical measures that can use Columbia Vertible historical prices to predict the future Columbia Vertible's volatility.| Risk Adjusted Performance | 0.2066 | |||
| Jensen Alpha | 0.0804 | |||
| Total Risk Alpha | 0.0635 | |||
| Sortino Ratio | 0.0662 | |||
| Treynor Ratio | 0.2602 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Vertible'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 Vertible Backtested Returns
At this stage we consider Columbia Mutual Fund to be very steady. Columbia Vertible secures Sharpe Ratio (or Efficiency) of 0.23, which signifies that the fund had a 0.23 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Columbia Vertible Securities, which you can use to evaluate the volatility of the entity. Please confirm Columbia Vertible's Mean Deviation of 0.4226, risk adjusted performance of 0.2066, and Downside Deviation of 0.4555 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%. 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 Vertible's returns are expected to increase less than the market. However, during the bear market, the loss of holding Columbia Vertible is expected to be smaller as well.
Auto-correlation | 0.50 |
Modest predictability
Columbia Vertible Securities has modest predictability. Overlapping area represents the amount of predictability between Columbia Vertible time series from 15th of May 2025 to 29th of June 2025 and 29th of June 2025 to 13th of August 2025. 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 Vertible price movement. The serial correlation of 0.5 indicates that about 50.0% of current Columbia Vertible price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Columbia Vertible lagged returns against current returns
Autocorrelation, which is Columbia Vertible 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 Vertible's mutual fund expected returns. We can calculate the autocorrelation of Columbia Vertible returns to help us make a trade decision. For example, suppose you find that Columbia Vertible 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 Vertible 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 Vertible mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Vertible 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 Vertible mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Columbia Vertible Lagged Returns
When evaluating Columbia Vertible's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Vertible mutual fund have on its future price. Columbia Vertible 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 Vertible autocorrelation shows the relationship between Columbia Vertible mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia Vertible Securities.
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 Vertible 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 Vertible security.
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