Columbia Mortgage Opportunities Fund Market Value
| CMOYX Fund | USD 8.22 0.01 0.12% |
| Symbol | Columbia |
Columbia Mortgage '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 Mortgage'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 Mortgage.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in Columbia Mortgage on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Columbia Mortgage Opportunities or generate 0.0% return on investment in Columbia Mortgage over 30 days. Columbia Mortgage is related to or competes with Columbia Corporate, Columbia Ultra, Columbia Ultra, Columbia, Multi-manager Directional, Columbia Small, and Columbia. Under normal circumstances, the fund will invest at least 80 percent of its net assets in mortgage-related assets More
Columbia Mortgage 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 Mortgage'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 Mortgage Opportunities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4244 | |||
| Information Ratio | (0.32) | |||
| Maximum Drawdown | 1.93 | |||
| Value At Risk | (0.49) | |||
| Potential Upside | 0.7264 |
Columbia Mortgage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Mortgage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Mortgage's standard deviation. In reality, there are many statistical measures that can use Columbia Mortgage historical prices to predict the future Columbia Mortgage's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.29) | |||
| Treynor Ratio | 7.73 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Mortgage'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 Mortgage Backtested Returns
Columbia Mortgage secures Sharpe Ratio (or Efficiency) of -0.0501, which signifies that the fund had a -0.0501% return per unit of risk over the last 3 months. Columbia Mortgage Opportunities exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Columbia Mortgage's Risk Adjusted Performance of (0.01), downside deviation of 0.4244, and Mean Deviation of 0.2945 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of -0.0012, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Columbia Mortgage are expected to decrease at a much lower rate. During the bear market, Columbia Mortgage is likely to outperform the market.
Auto-correlation | -0.53 |
Good reverse predictability
Columbia Mortgage Opportunities has good reverse predictability. Overlapping area represents the amount of predictability between Columbia Mortgage time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 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 Mortgage price movement. The serial correlation of -0.53 indicates that about 53.0% of current Columbia Mortgage price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Columbia Mortgage lagged returns against current returns
Autocorrelation, which is Columbia Mortgage 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 Mortgage's mutual fund expected returns. We can calculate the autocorrelation of Columbia Mortgage returns to help us make a trade decision. For example, suppose you find that Columbia Mortgage 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 Mortgage 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 Mortgage mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Mortgage 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 Mortgage mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Columbia Mortgage Lagged Returns
When evaluating Columbia Mortgage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Mortgage mutual fund have on its future price. Columbia Mortgage 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 Mortgage autocorrelation shows the relationship between Columbia Mortgage mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Columbia Mortgage Opportunities.
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 Mortgage 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 Mortgage security.
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