Mfs Alabama Municipal Fund Market Value

MLALX Fund  USD 9.02  0.01  0.11%   
Mfs Alabama's market value is the price at which a share of Mfs Alabama trades on a public exchange. It measures the collective expectations of Mfs Alabama Municipal investors about its performance. Mfs Alabama is trading at 9.02 as of the 10th of January 2026; that is 0.11 percent increase since the beginning of the trading day. The fund's open price was 9.01.
With this module, you can estimate the performance of a buy and hold strategy of Mfs Alabama Municipal and determine expected loss or profit from investing in Mfs Alabama over a given investment horizon. Check out Mfs Alabama Correlation, Mfs Alabama Volatility and Mfs Alabama Alpha and Beta module to complement your research on Mfs Alabama.
Symbol

Please note, there is a significant difference between Mfs Alabama's value and its price as these two are different measures arrived at by different means. Investors typically determine if Mfs Alabama is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Mfs Alabama'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 Alabama '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 Alabama'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 Alabama.
0.00
12/11/2025
No Change 0.00  0.0 
In 31 days
01/10/2026
0.00
If you would invest  0.00  in Mfs Alabama on December 11, 2025 and sell it all today you would earn a total of 0.00 from holding Mfs Alabama Municipal or generate 0.0% return on investment in Mfs Alabama over 30 days. Mfs Alabama is related to or competes with Artisan High, Rbc Ultra-short, Gmo High, Maryland Tax-free, Siit High, Barings High, and T Rowe. The fund invests, under normal market conditions, at least 80 percent of its net assets in securities and other investme... More

Mfs Alabama 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 Alabama'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 Alabama Municipal upside and downside potential and time the market with a certain degree of confidence.

Mfs Alabama Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Alabama's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Alabama's standard deviation. In reality, there are many statistical measures that can use Mfs Alabama historical prices to predict the future Mfs Alabama's volatility.
Hype
Prediction
LowEstimatedHigh
8.909.029.14
Details
Intrinsic
Valuation
LowRealHigh
8.808.929.04
Details
Naive
Forecast
LowNextHigh
8.949.059.17
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
8.948.989.01
Details

Mfs Alabama Municipal Backtested Returns

At this stage we consider Mfs Mutual Fund to be very steady. Mfs Alabama Municipal has Sharpe Ratio of 0.17, which conveys that the entity had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Mfs Alabama, which you can use to evaluate the volatility of the fund. Please verify Mfs Alabama's Mean Deviation of 0.082, coefficient of variation of 472.22, and Risk Adjusted Performance of 0.1057 to check out if the risk estimate we provide is consistent with the expected return of 0.0199%. The fund secures a Beta (Market Risk) of 0.0029, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Mfs Alabama's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mfs Alabama is expected to be smaller as well.

Auto-correlation

    
  0.37  

Below average predictability

Mfs Alabama Municipal has below average predictability. Overlapping area represents the amount of predictability between Mfs Alabama time series from 11th of December 2025 to 26th of December 2025 and 26th of December 2025 to 10th of January 2026. 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 Alabama Municipal price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Mfs Alabama price fluctuation can be explain by its past prices.
Correlation Coefficient0.37
Spearman Rank Test0.99
Residual Average0.0
Price Variance0.0

Mfs Alabama Municipal lagged returns against current returns

Autocorrelation, which is Mfs Alabama 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 Alabama's mutual fund expected returns. We can calculate the autocorrelation of Mfs Alabama returns to help us make a trade decision. For example, suppose you find that Mfs Alabama 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 Alabama 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 Alabama mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Alabama 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 Alabama mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Mfs Alabama Lagged Returns

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Mfs Mutual Fund

Mfs Alabama 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 Alabama security.
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings