Mfs Emerging Markets Fund Market Value

MEDAX Fund  USD 12.16  0.02  0.16%   
Mfs Emerging's market value is the price at which a share of Mfs Emerging trades on a public exchange. It measures the collective expectations of Mfs Emerging Markets investors about its performance. Mfs Emerging is trading at 12.16 as of the 2nd of December 2024; that is 0.16% up since the beginning of the trading day. The fund's open price was 12.14.
With this module, you can estimate the performance of a buy and hold strategy of Mfs Emerging Markets and determine expected loss or profit from investing in Mfs Emerging over a given investment horizon. Check out Mfs Emerging Correlation, Mfs Emerging Volatility and Mfs Emerging Alpha and Beta module to complement your research on Mfs Emerging.
Symbol

Please note, there is a significant difference between Mfs Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if Mfs Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Mfs 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.

Mfs 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 Mfs Emerging's mutual fund 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 Mfs Emerging.
0.00
11/02/2024
No Change 0.00  0.0 
In 31 days
12/02/2024
0.00
If you would invest  0.00  in Mfs Emerging on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Emerging Markets or generate 0.0% return on investment in Mfs Emerging over 30 days. Mfs Emerging is related to or competes with Pace Large, Goldman Sachs, Qs Growth, Chase Growth, T Rowe, Champlain Mid, and Small Company. The fund normally invests at least 80 percent of its net assets in debt instruments of issuers that are tied economicall... More

Mfs 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 Mfs Emerging's mutual fund 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 Mfs Emerging Markets upside and downside potential and time the market with a certain degree of confidence.

Mfs Emerging Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Emerging's standard deviation. In reality, there are many statistical measures that can use Mfs Emerging historical prices to predict the future Mfs Emerging's volatility.
Hype
Prediction
LowEstimatedHigh
11.9112.1612.41
Details
Intrinsic
Valuation
LowRealHigh
11.9212.1712.42
Details
Naive
Forecast
LowNextHigh
11.8812.1312.37
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
12.0012.1012.21
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Mfs Emerging. Your research has to be compared to or analyzed against Mfs Emerging's peers to derive any actionable benefits. When done correctly, Mfs Emerging's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Mfs Emerging Markets.

Mfs Emerging Markets Backtested Returns

At this stage we consider Mfs Mutual Fund to be very steady. Mfs Emerging Markets has Sharpe Ratio of 0.0432, which conveys that the entity had a 0.0432% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Mfs Emerging, which you can use to evaluate the volatility of the fund. Please verify Mfs Emerging's Risk Adjusted Performance of 0.03, mean deviation of 0.1939, and Downside Deviation of 0.2333 to check out if the risk estimate we provide is consistent with the expected return of 0.0106%. The fund secures a Beta (Market Risk) of 0.0117, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mfs Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mfs Emerging is expected to be smaller as well.

Auto-correlation

    
  0.01  

Virtually no predictability

Mfs Emerging Markets has virtually no predictability. Overlapping area represents the amount of predictability between Mfs Emerging time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd 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 Mfs Emerging Markets price movement. The serial correlation of 0.01 indicates that just 1.0% of current Mfs Emerging price fluctuation can be explain by its past prices.
Correlation Coefficient0.01
Spearman Rank Test0.05
Residual Average0.0
Price Variance0.0

Mfs Emerging Markets lagged returns against current returns

Autocorrelation, which is Mfs Emerging mutual fund'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 Mfs Emerging's mutual fund expected returns. We can calculate the autocorrelation of Mfs Emerging returns to help us make a trade decision. For example, suppose you find that Mfs Emerging has exhibited high autocorrelation historically, and you observe that the mutual fund 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  

Mfs 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 Mfs Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Emerging mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mfs Emerging mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Mfs Emerging Lagged Returns

When evaluating Mfs Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Emerging mutual fund have on its future price. Mfs 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, Mfs Emerging autocorrelation shows the relationship between Mfs Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Emerging Markets.
   Regressed Prices   
       Timeline  

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Other Information on Investing in Mfs Mutual Fund

Mfs Emerging financial ratios help investors to determine whether Mfs Mutual Fund 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 Mfs with respect to the benefits of owning Mfs Emerging security.
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