Evolve Banks Enhanced Etf Net Asset
| CALL Etf | CAD 14.49 0.01 0.07% |
As of the 14th of February 2026, Evolve Banks shows the Mean Deviation of 0.9043, downside deviation of 1.17, and Coefficient Of Variation of 590.76. Evolve Banks Enhanced technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Evolve Banks' financial statements offer valuable quarterly and annual insights to potential investors, highlighting the company's current and historical financial position, overall management performance, and changes in financial standing over time. Key fundamentals influencing Evolve Banks' valuation are provided below:Evolve Banks Enhanced does not presently have any fundamental signals for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools. Evolve |
Evolve Banks '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 Evolve Banks' 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 Evolve Banks.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Evolve Banks on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding Evolve Banks Enhanced or generate 0.0% return on investment in Evolve Banks over 90 days. Evolve Banks is related to or competes with CI Canada, IShares Canadian, First Asset, IShares Core, BMO SIA, IShares Conservative, and RBC Quant. CALL seeks to replicate, to the extent reasonably possible before fees and expenses, the performance of the Solactive Eq... More
Evolve Banks 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 Evolve Banks' 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 Evolve Banks Enhanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.17 | |||
| Information Ratio | 0.1104 | |||
| Maximum Drawdown | 5.53 | |||
| Value At Risk | (1.54) | |||
| Potential Upside | 2.15 |
Evolve Banks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Evolve Banks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Evolve Banks' standard deviation. In reality, there are many statistical measures that can use Evolve Banks historical prices to predict the future Evolve Banks' volatility.| Risk Adjusted Performance | 0.1398 | |||
| Jensen Alpha | 0.1586 | |||
| Total Risk Alpha | 0.1028 | |||
| Sortino Ratio | 0.1116 | |||
| Treynor Ratio | 0.3533 |
Evolve Banks February 14, 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 | 0.1398 | |||
| Market Risk Adjusted Performance | 0.3633 | |||
| Mean Deviation | 0.9043 | |||
| Semi Deviation | 0.9551 | |||
| Downside Deviation | 1.17 | |||
| Coefficient Of Variation | 590.76 | |||
| Standard Deviation | 1.19 | |||
| Variance | 1.41 | |||
| Information Ratio | 0.1104 | |||
| Jensen Alpha | 0.1586 | |||
| Total Risk Alpha | 0.1028 | |||
| Sortino Ratio | 0.1116 | |||
| Treynor Ratio | 0.3533 | |||
| Maximum Drawdown | 5.53 | |||
| Value At Risk | (1.54) | |||
| Potential Upside | 2.15 | |||
| Downside Variance | 1.38 | |||
| Semi Variance | 0.9123 | |||
| Expected Short fall | (1.02) | |||
| Skewness | (0.13) | |||
| Kurtosis | 0.3258 |
Evolve Banks Enhanced Backtested Returns
Evolve Banks appears to be very steady, given 3 months investment horizon. Evolve Banks Enhanced secures Sharpe Ratio (or Efficiency) of 0.25, which denotes the etf had a 0.25 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Evolve Banks Enhanced, which you can use to evaluate the volatility of the entity. Please utilize Evolve Banks' Downside Deviation of 1.17, mean deviation of 0.9043, and Coefficient Of Variation of 590.76 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.54, which means possible diversification benefits within a given portfolio. As returns on the market increase, Evolve Banks' returns are expected to increase less than the market. However, during the bear market, the loss of holding Evolve Banks is expected to be smaller as well.
Auto-correlation | 0.56 |
Modest predictability
Evolve Banks Enhanced has modest predictability. Overlapping area represents the amount of predictability between Evolve Banks time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 Evolve Banks Enhanced price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Evolve Banks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Net Asset is the value used in calculating NAV of a fund. NAV (or Net Asset Value) is computed once a day based on the formula that uses closing prices of all positions in the fund's portfolio.
| Competition |
Based on the recorded statements, Evolve Banks Enhanced has a Net Asset of 4.12 M. This is much higher than that of the Oil, Gas & Consumable Fuels family and significantly higher than that of the Financial Services Equity category. The net asset for all Canada etfs is notably lower than that of the firm.
Evolve Net Asset Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Evolve Banks' direct or indirect competition against its Net Asset to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Evolve Banks could also be used in its relative valuation, which is a method of valuing Evolve Banks by comparing valuation metrics of similar companies.Evolve Banks is currently under evaluation in net asset as compared to similar ETFs.
Evolve Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Evolve Banks's current stock value. Our valuation model uses many indicators to compare Evolve Banks value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Evolve Banks competition to find correlations between indicators driving Evolve Banks's intrinsic value. More Info.Evolve Banks Enhanced is the top ETF in beta as compared to similar ETFs. It is third largest ETF in annual yield as compared to similar ETFs fabricating about 0.06 of Annual Yield per Beta. The ratio of Beta to Annual Yield for Evolve Banks Enhanced is roughly 16.83 . Comparative valuation analysis is a catch-all model that can be used if you cannot value Evolve Banks by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for Evolve Banks' Etf. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued.Fund Asset Allocation for Evolve Banks
The fund invests 99.95% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides Evolve Banks' investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors for a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will manage securities in the fund's portfolio as market conditions and the fund's objectives change.
Evolve Fundamentals
| Beta | 2.17 | |||
| Total Asset | 4.12 M | |||
| Annual Yield | 0.13 % | |||
| One Year Return | 15.80 % | |||
| Three Year Return | 8.90 % | |||
| Five Year Return | 6.50 % | |||
| Net Asset | 4.12 M | |||
| Last Dividend Paid | 0.12 | |||
| Equity Positions Weight | 99.95 % |
About Evolve Banks Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Evolve Banks Enhanced's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Evolve Banks using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Evolve Banks Enhanced based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Evolve Banks
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 Evolve Banks 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 Evolve Banks will appreciate offsetting losses from the drop in the long position's value.Moving together with Evolve Etf
| 0.97 | ZEB | BMO SPTSX Equal | PairCorr |
| 0.93 | XFN | iShares SPTSX Capped | PairCorr |
| 0.99 | ZBK | BMO Equal Weight | PairCorr |
| 0.97 | HCA | Hamilton Canadian Bank | PairCorr |
| 1.0 | ZUB | BMO Equal Weight | PairCorr |
The ability to find closely correlated positions to Evolve Banks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Evolve Banks 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 Evolve Banks - 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 Evolve Banks Enhanced to buy it.
The correlation of Evolve Banks 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 Evolve Banks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Evolve Banks Enhanced 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 Evolve Banks 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.Other Information on Investing in Evolve Etf
Evolve Banks financial ratios help investors to determine whether Evolve Etf 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 Evolve with respect to the benefits of owning Evolve Banks security.