Calamos Etf Trust Etf Market Value
| CPSP Etf | 26.22 0.01 0.04% |
| Symbol | Calamos |
Investors evaluate Calamos ETF Trust using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Calamos ETF's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Calamos ETF's market price to deviate significantly from intrinsic value.
It's important to distinguish between Calamos ETF's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Calamos ETF should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Calamos ETF's market price signifies the transaction level at which participants voluntarily complete trades.
Calamos ETF '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 ETF's etf 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 ETF.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Calamos ETF on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Calamos ETF Trust or generate 0.0% return on investment in Calamos ETF over 90 days. Calamos ETF is related to or competes with Calamos Nasdaq, YieldMax, IPath Series, KraneShares, First Trust, Leverage Shares, and Putnam ETF. Calamos ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
Calamos ETF 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 ETF's etf 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 ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0904 | |||
| Information Ratio | (0.70) | |||
| Maximum Drawdown | 0.3485 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.155 |
Calamos ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Calamos ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Calamos ETF's standard deviation. In reality, there are many statistical measures that can use Calamos ETF historical prices to predict the future Calamos ETF's volatility.| Risk Adjusted Performance | 0.1486 | |||
| Jensen Alpha | 0.01 | |||
| Total Risk Alpha | 0.0068 | |||
| Sortino Ratio | (0.63) | |||
| Treynor Ratio | 0.2495 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Calamos ETF'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 ETF February 13, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1486 | |||
| Market Risk Adjusted Performance | 0.2595 | |||
| Mean Deviation | 0.0621 | |||
| Downside Deviation | 0.0904 | |||
| Coefficient Of Variation | 341.14 | |||
| Standard Deviation | 0.0816 | |||
| Variance | 0.0067 | |||
| Information Ratio | (0.70) | |||
| Jensen Alpha | 0.01 | |||
| Total Risk Alpha | 0.0068 | |||
| Sortino Ratio | (0.63) | |||
| Treynor Ratio | 0.2495 | |||
| Maximum Drawdown | 0.3485 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.155 | |||
| Downside Variance | 0.0082 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.08) | |||
| Skewness | 0.0676 | |||
| Kurtosis | 0.3027 |
Calamos ETF Trust Backtested Returns
Currently, Calamos ETF Trust is very steady. Calamos ETF Trust secures Sharpe Ratio (or Efficiency) of 0.38, which signifies that the etf had a 0.38 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Calamos ETF Trust, which you can use to evaluate the volatility of the entity. Please confirm Calamos ETF's Mean Deviation of 0.0621, risk adjusted performance of 0.1486, and Coefficient Of Variation of 341.14 to double-check if the risk estimate we provide is consistent with the expected return of 0.0293%. The etf shows a Beta (market volatility) of 0.0558, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Calamos ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Calamos ETF is expected to be smaller as well.
Auto-correlation | 0.91 |
Excellent predictability
Calamos ETF Trust has excellent predictability. Overlapping area represents the amount of predictability between Calamos ETF time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th of February 2026. 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 ETF Trust price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current Calamos ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.91 | |
| Spearman Rank Test | 0.95 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Pair Trading with Calamos ETF
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 Calamos ETF 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 Calamos ETF will appreciate offsetting losses from the drop in the long position's value.Moving together with Calamos Etf
| 0.92 | INOV | Innovator ETFs Trust | PairCorr |
| 0.95 | BUFR | First Trust Cboe | PairCorr |
| 0.95 | BUFD | FT Cboe Vest | PairCorr |
| 0.94 | PSEP | Innovator SP 500 | PairCorr |
| 0.96 | PJAN | Innovator SP 500 | PairCorr |
The ability to find closely correlated positions to Calamos ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Calamos ETF 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 Calamos ETF - 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 Calamos ETF Trust to buy it.
The correlation of Calamos ETF 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 Calamos ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Calamos ETF Trust 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 Calamos ETF 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 Calamos ETF Correlation, Calamos ETF Volatility and Calamos ETF Performance module to complement your research on Calamos ETF. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Calamos ETF technical etf 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, etf market cycles, or different charting patterns.