Matthews Emerging Markets Etf Market Value
| MEMS Etf | 24.98 0.27 1.09% |
| Symbol | Matthews |
The market value of Matthews Emerging Markets is measured differently than its book value, which is the value of Matthews that is recorded on the company's balance sheet. Investors also form their own opinion of Matthews Emerging's value that differs from its market value or its book value, called intrinsic value, which is Matthews Emerging's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Matthews Emerging's market value can be influenced by many factors that don't directly affect Matthews Emerging's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Matthews Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if Matthews Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Matthews Emerging's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 09/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Matthews Emerging on September 27, 2024 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 60 days. Matthews Emerging is related to or competes with Matthews China, Neuberger Berman, Fidelity Small, Professionally Managed, First Trust, Fidelity Small, and WisdomTree Trust. MEMSIC, Inc. offer semiconductor sensor and system solutions based on integrated micro electromechanical systems technology and mixed signal circuit design. 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.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 5.67 | |||
| Value At Risk | (2.10) | |||
| Potential Upside | 1.79 |
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 | (0.03) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.12) |
Matthews Emerging Markets Backtested Returns
Matthews Emerging Markets has Sharpe Ratio of -0.0375, which conveys that the entity had a -0.0375% return per unit of risk over the last 3 months. Matthews Emerging exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Matthews Emerging's Risk Adjusted Performance of (0.03), standard deviation of 1.14, and Mean Deviation of 0.8776 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.54, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Matthews Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Matthews Emerging is expected to be smaller as well.
Auto-correlation | 0.81 |
Very good predictability
Matthews Emerging Markets has very good predictability. Overlapping area represents the amount of predictability between Matthews Emerging time series from 27th of September 2024 to 27th of October 2024 and 27th of October 2024 to 26th of November 2024. 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 0.81 indicates that around 81.0% of current Matthews Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
Matthews Emerging Markets lagged returns against current returns
Autocorrelation, which is Matthews Emerging etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Matthews Emerging's etf expected returns. We can calculate the autocorrelation of Matthews Emerging returns to help us make a trade decision. For example, suppose you find that Matthews Emerging has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Matthews Emerging regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Matthews Emerging etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Matthews Emerging etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Matthews Emerging etf over time.
Current vs Lagged Prices |
| Timeline |
Matthews Emerging Lagged Returns
When evaluating Matthews Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Matthews Emerging etf have on its future price. Matthews Emerging autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Matthews Emerging autocorrelation shows the relationship between Matthews Emerging etf current value and its past values and can show if there is a momentum factor associated with investing in Matthews Emerging Markets.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Matthews Emerging Correlation, Matthews Emerging Volatility and Matthews Emerging Alpha and Beta module to complement your research on Matthews Emerging. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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.