Matthews Emerging Markets Etf Technical Analysis
| EMSF Etf | USD 31.97 0.94 3.03% |
As of the 8th of February, Matthews Emerging secures the Mean Deviation of 0.993, downside deviation of 1.53, and Risk Adjusted Performance of 0.0346. Matthews Emerging Markets technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the etf's future prices. Please verify Matthews Emerging Markets variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to decide if Matthews Emerging Markets is priced some-what accurately, providing market reflects its recent price of 31.97 per share.
Matthews 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 Matthews, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MatthewsMatthews | Build AI portfolio with Matthews Etf |
Investors evaluate Matthews Emerging Markets using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Matthews Emerging'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 Matthews Emerging's market price to deviate significantly from intrinsic value.
It's important to distinguish between Matthews Emerging's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Matthews Emerging should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Matthews Emerging's market price signifies the transaction level at which participants voluntarily complete trades.
Matthews 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 Matthews 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 Matthews Emerging.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Matthews Emerging on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding Matthews Emerging Markets or generate 0.0% return on investment in Matthews Emerging over 90 days. Matthews Emerging is related to or competes with Nushares ETF, IShares ESG, EA Series, ProShares Ultra, IShares MSCI, Unlimited HFND, and KFA Value. EMS Find, Inc. develops and markets B2B and B2C ondemand mobile platform to connect health care providers and consumers to a network of medical transport companies in the United States and Canada. More
Matthews 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 Matthews 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 Matthews Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.53 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 8.11 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 1.93 |
Matthews Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Matthews Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Matthews Emerging's standard deviation. In reality, there are many statistical measures that can use Matthews Emerging historical prices to predict the future Matthews Emerging's volatility.| Risk Adjusted Performance | 0.0346 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0441 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Matthews Emerging'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.
Matthews Emerging February 8, 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 | 0.0541 | |||
| Mean Deviation | 0.993 | |||
| Semi Deviation | 1.49 | |||
| Downside Deviation | 1.53 | |||
| Coefficient Of Variation | 2657.74 | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.0 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0441 | |||
| Maximum Drawdown | 8.11 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 1.93 | |||
| Downside Variance | 2.36 | |||
| Semi Variance | 2.23 | |||
| Expected Short fall | (1.05) | |||
| Skewness | (1.17) | |||
| Kurtosis | 5.55 |
Matthews Emerging Markets Backtested Returns
At this point, Matthews Emerging is very steady. Matthews Emerging Markets has Sharpe Ratio of 0.0536, which conveys that the entity had a 0.0536 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Matthews Emerging, which you can use to evaluate the volatility of the etf. Please verify Matthews Emerging's Mean Deviation of 0.993, downside deviation of 1.53, and Risk Adjusted Performance of 0.0346 to check out if the risk estimate we provide is consistent with the expected return of 0.0752%. The etf secures a Beta (Market Risk) of 0.98, which conveys possible diversification benefits within a given portfolio. Matthews Emerging returns are very sensitive to returns on the market. As the market goes up or down, Matthews Emerging is expected to follow.
Auto-correlation | -0.63 |
Very good reverse predictability
Matthews Emerging Markets has very good reverse predictability. Overlapping area represents the amount of predictability between Matthews Emerging time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th 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 Matthews Emerging Markets price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current Matthews Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 1.19 |
Matthews 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.
Matthews Emerging Markets Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Matthews Emerging Markets volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Matthews 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 Matthews 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 Matthews Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Matthews Emerging Markets price pattern first instead of the macroeconomic environment surrounding Matthews Emerging Markets. By analyzing Matthews 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 Matthews 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 Matthews Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Matthews Emerging February 8, 2026 Technical Indicators
Most technical analysis of Matthews 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 Matthews from various momentum indicators to cycle indicators. When you analyze Matthews 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 | 0.0541 | |||
| Mean Deviation | 0.993 | |||
| Semi Deviation | 1.49 | |||
| Downside Deviation | 1.53 | |||
| Coefficient Of Variation | 2657.74 | |||
| Standard Deviation | 1.42 | |||
| Variance | 2.0 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0441 | |||
| Maximum Drawdown | 8.11 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 1.93 | |||
| Downside Variance | 2.36 | |||
| Semi Variance | 2.23 | |||
| Expected Short fall | (1.05) | |||
| Skewness | (1.17) | |||
| Kurtosis | 5.55 |
Matthews Emerging February 8, 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 Matthews 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 | 9.40 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 31.93 | ||
| Day Typical Price | 31.94 | ||
| Price Action Indicator | 0.51 | ||
| Market Facilitation Index | 0.10 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Matthews Emerging Markets. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Investors evaluate Matthews Emerging Markets using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Matthews Emerging'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 Matthews Emerging's market price to deviate significantly from intrinsic value.
It's important to distinguish between Matthews Emerging's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Matthews Emerging should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Matthews Emerging's market price signifies the transaction level at which participants voluntarily complete trades.