Mfs Emerging Markets Fund Market Value
| MEDCX Fund | USD 11.81 0.05 0.42% |
| Symbol | Mfs |
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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Mfs Emerging on March 25, 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 Qs Large, Eic Value, Materials Portfolio, Tax-managed, Versatile Bond, Artisan Thematic, and Guidemark Large. 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.
| Downside Deviation | 0.4183 | |||
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 1.6 | |||
| Value At Risk | (0.60) | |||
| Potential Upside | 0.5155 |
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.| Risk Adjusted Performance | 0.0539 | |||
| Jensen Alpha | 0.0012 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.0898 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs 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.
Mfs Emerging Markets Backtested Returns
We consider Mfs Emerging very steady. Mfs Emerging Markets has Sharpe Ratio of 0.0822, which conveys that the entity had a 0.0822% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Mfs Emerging, which you can use to evaluate the volatility of the fund. Please verify Mfs Emerging's Downside Deviation of 0.4183, mean deviation of 0.268, and Risk Adjusted Performance of 0.0539 to check out if the risk estimate we provide is consistent with the expected return of 0.0291%. The fund secures a Beta (Market Risk) of 0.27, 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 | -0.04 |
Very weak reverse predictability
Mfs Emerging Markets has very weak reverse predictability. Overlapping area represents the amount of predictability between Mfs Emerging time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 -0.04 indicates that only as little as 4.0% of current Mfs Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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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Try AI Portfolio ArchitectCheck out Mfs Emerging Correlation, Mfs Emerging Volatility and Mfs Emerging Alpha and Beta module to complement your research on Mfs Emerging. Note that the Mfs Emerging Markets information on this page should be used as a complementary analysis to other Mfs Emerging's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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.