Matthews Emerging Markets Etf Market Value

MEMS Etf   25.08  0.15  0.59%   
Matthews Emerging's market value is the price at which a share of Matthews Emerging trades on a public exchange. It measures the collective expectations of Matthews Emerging Markets investors about its performance. Matthews Emerging is selling for under 25.08 as of the 16th of December 2024; that is 0.59 percent decrease since the beginning of the trading day. The etf's lowest day price was 25.06.
With this module, you can estimate the performance of a buy and hold strategy of Matthews Emerging Markets and determine expected loss or profit from investing in Matthews Emerging over a given investment horizon. Check out Matthews Emerging Correlation, Matthews Emerging Volatility and Matthews Emerging Alpha and Beta module to complement your research on Matthews Emerging.
Symbol

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.
0.00
11/16/2024
No Change 0.00  0.0 
In 30 days
12/16/2024
0.00
If you would invest  0.00  in Matthews Emerging on November 16, 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 30 days. Matthews Emerging is related to or competes with FT Vest, Northern Lights, Dimensional International, JPMorgan Fundamental, Matthews China, Davis Select, and Dimensional ETF. 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.

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.
Hype
Prediction
LowEstimatedHigh
23.9925.0826.17
Details
Intrinsic
Valuation
LowRealHigh
24.1325.2226.31
Details
Naive
Forecast
LowNextHigh
24.3725.4526.54
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24.7925.2025.60
Details

Matthews Emerging Markets Backtested Returns

Matthews Emerging Markets has Sharpe Ratio of -0.0272, which conveys that the entity had a -0.0272% return per unit of risk over the last 3 months. Matthews Emerging exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Matthews Emerging's Mean Deviation of 0.8176, risk adjusted performance of (0.01), and Standard Deviation of 1.08 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.36, 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

    
  0.84  

Very good predictability

Matthews Emerging Markets has very good predictability. Overlapping area represents the amount of predictability between Matthews Emerging time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th of December 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 0.84 indicates that around 84.0% of current Matthews Emerging price fluctuation can be explain by its past prices.
Correlation Coefficient0.84
Spearman Rank Test0.61
Residual Average0.0
Price Variance0.05

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

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Matthews Emerging Markets offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Matthews Emerging's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Matthews Emerging Markets Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Matthews Emerging Markets Etf:
Check out Matthews Emerging Correlation, Matthews Emerging Volatility and Matthews Emerging Alpha and Beta module to complement your research on Matthews Emerging.
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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.
A focus of Matthews Emerging technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Matthews Emerging trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...