Mfs Emerging Markets Fund Market Value
| EMLKX Fund | USD 5.38 0.02 0.37% |
| 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.
| 05/30/2023 |
| 04/24/2024 |
If you would invest 0.00 in Mfs Emerging on May 30, 2023 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 330 days. Mfs Emerging is related to or competes with Virtus High, Oppenheimer Roc, Franklin High, Pioneer High, T Rowe, and Tax-exempt High. The investment seeks total return with an emphasis on high current income, but also considering capital appreciation 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.
| Information Ratio | (0.34) | |||
| Maximum Drawdown | 2.02 | |||
| Value At Risk | (0.89) | |||
| Potential Upside | 0.5425 |
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 | (0.08) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | (1.29) |
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
Mfs Emerging Markets has Sharpe Ratio of -0.12, which conveys that the entity had a -0.12% return per unit of risk over the last 3 months. Mfs Emerging exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mfs Emerging's Mean Deviation of 0.3204, standard deviation of 0.4281, and Risk Adjusted Performance of (0.08) to check out the risk estimate we provide. The fund secures a Beta (Market Risk) of 0.0477, 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 | 0.40 |
Average predictability
Mfs Emerging Markets has average predictability. Overlapping area represents the amount of predictability between Mfs Emerging time series from 30th of May 2023 to 11th of November 2023 and 11th of November 2023 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 0.4 indicates that just about 40.0% of current Mfs Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | -0.11 | |
| 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 |
Pair Trading with Mfs Emerging
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Mfs Emerging position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Mfs Emerging will appreciate offsetting losses from the drop in the long position's value.Moving together with Mfs Mutual Fund
| 0.83 | PELPX | Pimco Emerging Local | PairCorr |
| 0.82 | PELBX | Pimco Emerging Local | PairCorr |
| 0.87 | PELCX | Pimco Emerging Local | PairCorr |
The ability to find closely correlated positions to Mfs Emerging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mfs Emerging when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Mfs Emerging - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Mfs Emerging Markets to buy it.
The correlation of Mfs Emerging is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Mfs Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mfs Emerging Markets moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Mfs Emerging can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Mfs Emerging Correlation, Mfs Emerging Volatility and Mfs Emerging Alpha and Beta module to complement your research on Mfs Emerging. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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.