Bmo Emerging Markets Etf Technical Analysis
| ZEF Etf | CAD 12.64 0.01 0.08% |
As of the 13th of February 2026, BMO Emerging shows the mean deviation of 0.2343, and Risk Adjusted Performance of 0.0346. In relation to fundamental indicators, the technical analysis model gives you tools to check helpful technical drivers of BMO Emerging, as well as the relationship between them.
BMO Emerging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as BMO, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BMOBMO |
BMO Emerging '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 BMO Emerging'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 BMO Emerging.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in BMO Emerging on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding BMO Emerging Markets or generate 0.0% return on investment in BMO Emerging over 90 days. BMO Emerging is related to or competes with Invesco SP, Evolve Canadian, BMO International, IShares Small, Vanguard Conservative, IShares SPTSX, and TD Active. BMO Emerging Markets Bond Hedged to CAD Index ETF seeks to replicate, to the extent possible, the performance of an emer... More
BMO Emerging 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 BMO Emerging'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 BMO Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.357 | |||
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 1.6 | |||
| Value At Risk | (0.56) | |||
| Potential Upside | 0.5636 |
BMO Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BMO Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BMO Emerging's standard deviation. In reality, there are many statistical measures that can use BMO Emerging historical prices to predict the future BMO Emerging's volatility.| Risk Adjusted Performance | 0.0346 | |||
| Jensen Alpha | 0.0035 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.17) | |||
| Treynor Ratio | 0.1091 |
BMO Emerging 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 | 0.0346 | |||
| Market Risk Adjusted Performance | 0.1191 | |||
| Mean Deviation | 0.2343 | |||
| Semi Deviation | 0.2411 | |||
| Downside Deviation | 0.357 | |||
| Coefficient Of Variation | 1638.69 | |||
| Standard Deviation | 0.3248 | |||
| Variance | 0.1055 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | 0.0035 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.17) | |||
| Treynor Ratio | 0.1091 | |||
| Maximum Drawdown | 1.6 | |||
| Value At Risk | (0.56) | |||
| Potential Upside | 0.5636 | |||
| Downside Variance | 0.1275 | |||
| Semi Variance | 0.0581 | |||
| Expected Short fall | (0.32) | |||
| Skewness | 0.1097 | |||
| Kurtosis | 0.6203 |
BMO Emerging Markets Backtested Returns
As of now, BMO Etf is very steady. BMO Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.0679, which signifies that the etf had a 0.0679 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for BMO Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm BMO Emerging's risk adjusted performance of 0.0346, and Mean Deviation of 0.2343 to double-check if the risk estimate we provide is consistent with the expected return of 0.0228%. The etf shows a Beta (market volatility) of 0.09, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BMO Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding BMO Emerging is expected to be smaller as well.
Auto-correlation | 0.08 |
Virtually no predictability
BMO Emerging Markets has virtually no predictability. Overlapping area represents the amount of predictability between BMO Emerging 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 BMO Emerging Markets price movement. The serial correlation of 0.08 indicates that barely 8.0% of current BMO Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
BMO Emerging 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.
BMO Emerging Markets Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for BMO Emerging Markets across different markets.
About BMO Emerging Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of BMO Emerging Markets on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of BMO Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on BMO Emerging Markets price pattern first instead of the macroeconomic environment surrounding BMO Emerging Markets. By analyzing BMO Emerging's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of BMO Emerging's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to BMO Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
BMO Emerging February 13, 2026 Technical Indicators
Most technical analysis of BMO help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for BMO from various momentum indicators to cycle indicators. When you analyze BMO charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0346 | |||
| Market Risk Adjusted Performance | 0.1191 | |||
| Mean Deviation | 0.2343 | |||
| Semi Deviation | 0.2411 | |||
| Downside Deviation | 0.357 | |||
| Coefficient Of Variation | 1638.69 | |||
| Standard Deviation | 0.3248 | |||
| Variance | 0.1055 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | 0.0035 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.17) | |||
| Treynor Ratio | 0.1091 | |||
| Maximum Drawdown | 1.6 | |||
| Value At Risk | (0.56) | |||
| Potential Upside | 0.5636 | |||
| Downside Variance | 0.1275 | |||
| Semi Variance | 0.0581 | |||
| Expected Short fall | (0.32) | |||
| Skewness | 0.1097 | |||
| Kurtosis | 0.6203 |
BMO Emerging February 13, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as BMO stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 12.64 | ||
| Day Typical Price | 12.64 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in BMO Etf
BMO Emerging financial ratios help investors to determine whether BMO 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 BMO with respect to the benefits of owning BMO Emerging security.