Mfs Emerging Markets Fund Price on December 5, 2024
MEMJX Fund | USD 36.33 0.16 0.44% |
Below is the normalized historical share price chart for Mfs Emerging Markets extending back to June 01, 2012. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Mfs Emerging stands at 36.33, as last reported on the 17th of December 2024, with the highest price reaching 36.33 and the lowest price hitting 36.33 during the day.
If you're considering investing in Mfs Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Mfs Mutual Fund to be very steady. Mfs Emerging Markets has Sharpe Ratio of 0.042, which conveys that the entity had a 0.042% 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 Mean Deviation of 0.6832, risk adjusted performance of 0.0458, and Downside Deviation of 0.9063 to check out if the risk estimate we provide is consistent with the expected return of 0.0386%.
Mfs Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Mfs |
Sharpe Ratio = 0.042
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Estimated Market Risk
0.92 actual daily | 8 92% of assets are more volatile |
Expected Return
0.04 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
0.04 actual daily | 3 97% of assets perform better |
Based on monthly moving average Mfs Emerging is performing at about 3% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Mfs Emerging by adding it to a well-diversified portfolio.
Mfs Emerging Valuation on December 5, 2024
It is possible to determine the worth of Mfs Emerging on a given historical date. On December 5, 2024 Mfs was worth 36.2 at the beginning of the trading date compared to the closed value of 36.2. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Mfs Emerging mutual fund. Still, in general, we apply an absolute valuation method to find Mfs Emerging's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Mfs Emerging where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Mfs Emerging's related companies.
Open | High | Low | Close | Volume | |
36.20 | 36.20 | 36.20 | 36.20 | 1.00 | |
12/05/2024 | 36.20 | 36.20 | 36.20 | 36.20 | 1.00 |
36.33 | 36.33 | 36.33 | 36.33 | 1.00 |
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Mfs Emerging Trading Date Momentum on December 5, 2024
On December 06 2024 Mfs Emerging Markets was traded for 36.33 at the closing time. The highest daily price throughout the period was 36.33 and the lowest price was 36.33 . There was no trading activity during the period 1.0. Lack of trading volume on 12/06/2024 added to the next day price jump. The trading delta at closing time to closing price of the next trading day was 0.36% . The trading delta at closing time to current closing price is 0.36% . |
Mfs Emerging Markets Fundamentals Correlations and Trends
By evaluating Mfs Emerging's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Mfs Emerging's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Mfs financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Mfs Emerging Mutual Fund history
Mfs Emerging investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Mfs is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Mfs Emerging Markets will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Mfs Emerging stock prices may prove useful in developing a viable investing in Mfs Emerging
The fund normally invests at least 80 percent of its net assets in equity securities of issuers that are tied economically to emerging market countries. Emerging market countries are countries whose financial and capital markets are in the development phase and include countries located in Latin America, Asia, Africa, the Middle East, and developing countries of Europe, primarily Eastern Europe. The adviser may also invest in equity securities of issuers that are not tied economically to emerging market countries.
Mfs Emerging Mutual Fund Technical Analysis
Mfs Emerging technical mutual fund 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, fund market cycles, or different charting patterns.
Price Boundaries
Mfs Emerging Period Price Range
Low | December 17, 2024
| High |
0.00 | 0.00 |
Mfs Emerging Markets cannot be verified against its exchange. Please verify the symbol is currently traded on NMFQS Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Mfs Emerging December 17, 2024 Market Strength
Market strength indicators help investors to evaluate how Mfs Emerging mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Mfs Emerging shares will generate the highest return on investment. By undertsting and applying Mfs Emerging mutual fund market strength indicators, traders can identify Mfs Emerging Markets entry and exit signals to maximize returns
Mfs Emerging Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Mfs Emerging's price direction in advance. Along with the technical and fundamental analysis of Mfs Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Mfs to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | 0.0458 | |||
Jensen Alpha | 0.0478 | |||
Total Risk Alpha | (0.05) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | (1.07) |
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Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
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.
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. |