Matthews Emerging Markets Etf Market Value
| EMSF Etf | USD 33.20 0.21 0.64% |
| Symbol | Matthews |
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.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Matthews Emerging on November 16, 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 | 1.5 | |||
| Information Ratio | 0.0418 | |||
| Maximum Drawdown | 7.65 | |||
| Value At Risk | (1.81) | |||
| Potential Upside | 2.09 |
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 | 0.0783 | |||
| Jensen Alpha | 0.0647 | |||
| Total Risk Alpha | 0.0144 | |||
| Sortino Ratio | 0.039 | |||
| Treynor Ratio | 0.1321 |
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 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 | 0.0783 | |||
| Market Risk Adjusted Performance | 0.1421 | |||
| Mean Deviation | 0.9691 | |||
| Semi Deviation | 1.38 | |||
| Downside Deviation | 1.5 | |||
| Coefficient Of Variation | 1090.27 | |||
| Standard Deviation | 1.4 | |||
| Variance | 1.96 | |||
| Information Ratio | 0.0418 | |||
| Jensen Alpha | 0.0647 | |||
| Total Risk Alpha | 0.0144 | |||
| Sortino Ratio | 0.039 | |||
| Treynor Ratio | 0.1321 | |||
| Maximum Drawdown | 7.65 | |||
| Value At Risk | (1.81) | |||
| Potential Upside | 2.09 | |||
| Downside Variance | 2.25 | |||
| Semi Variance | 1.91 | |||
| Expected Short fall | (1.07) | |||
| Skewness | (1.27) | |||
| Kurtosis | 6.18 |
Matthews Emerging Markets Backtested Returns
At this point, Matthews Emerging is very steady. Matthews Emerging Markets has Sharpe Ratio of 0.13, which conveys that the entity had a 0.13 % 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 0.9691, downside deviation of 1.5, and Risk Adjusted Performance of 0.0783 to check out if the risk estimate we provide is consistent with the expected return of 0.18%. The etf secures a Beta (Market Risk) of 0.9, 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 | -0.57 |
Good reverse predictability
Matthews Emerging Markets has good reverse predictability. Overlapping area represents the amount of predictability between Matthews Emerging 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 Matthews Emerging Markets price movement. The serial correlation of -0.57 indicates that roughly 57.0% of current Matthews Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.57 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 1.35 |
Currently Active Assets on Macroaxis
| FSLY | Fastly Class A | |
| MOB | Mobilicom Limited American | |
| CMG | Chipotle Mexican Grill | |
| CSAN | Cosan SA ADR | |
| RKT | Rocket Companies |
Check out Matthews Emerging Correlation, Matthews Emerging Volatility and Matthews Emerging Performance module to complement your research on Matthews Emerging. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
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.