Calamos Evolving World Fund Market Value
| CNWDX Fund | USD 17.59 0.34 1.97% |
| Symbol | Calamos |
Calamos Evolving '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 Calamos Evolving'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 Calamos Evolving.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Calamos Evolving on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Calamos Evolving World or generate 0.0% return on investment in Calamos Evolving over 90 days. Calamos Evolving is related to or competes with Calamos Antetokounmpo, Innealta Capital, Calamos Antetokounmpo, Calamos Antetokounmpo, Calamos Opportunistic, Calamos Opportunistic, and Calamos Opportunistic. The fund invests at least 40 percent of its assets in securities of foreign issuers More
Calamos Evolving 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 Calamos Evolving'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 Calamos Evolving World upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0692 | |||
| Maximum Drawdown | 6.73 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 1.61 |
Calamos Evolving Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Calamos Evolving's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Calamos Evolving's standard deviation. In reality, there are many statistical measures that can use Calamos Evolving historical prices to predict the future Calamos Evolving's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | 0.1273 | |||
| Treynor Ratio | 1.76 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Calamos Evolving'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.
Calamos Evolving World Backtested Returns
Calamos Evolving World secures Sharpe Ratio (or Efficiency) of -0.0123, which signifies that the fund had a -0.0123 % return per unit of risk over the last 3 months. Calamos Evolving World exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Calamos Evolving's Risk Adjusted Performance of (0.01), standard deviation of 1.22, and Mean Deviation of 0.8904 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of -0.0142, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Calamos Evolving are expected to decrease at a much lower rate. During the bear market, Calamos Evolving is likely to outperform the market.
Auto-correlation | 0.09 |
Virtually no predictability
Calamos Evolving World has virtually no predictability. Overlapping area represents the amount of predictability between Calamos Evolving time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Calamos Evolving World price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Calamos Evolving price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Calamos Evolving World lagged returns against current returns
Autocorrelation, which is Calamos Evolving 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 Calamos Evolving's mutual fund expected returns. We can calculate the autocorrelation of Calamos Evolving returns to help us make a trade decision. For example, suppose you find that Calamos Evolving 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 |
Calamos Evolving 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 Calamos Evolving mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Calamos Evolving mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Calamos Evolving mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Calamos Evolving Lagged Returns
When evaluating Calamos Evolving's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Calamos Evolving mutual fund have on its future price. Calamos Evolving 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, Calamos Evolving autocorrelation shows the relationship between Calamos Evolving mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Calamos Evolving World.
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 Calamos Mutual Fund
Calamos Evolving financial ratios help investors to determine whether Calamos 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 Calamos with respect to the benefits of owning Calamos Evolving security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Global Correlations Find global opportunities by holding instruments from different markets |