Mfs Active Exchange Etf Market Value

MFSM Etf   24.72  0.04  0.16%   
MFS Active's market value is the price at which a share of MFS Active trades on a public exchange. It measures the collective expectations of MFS Active Exchange investors about its performance. MFS Active is selling at 24.72 as of the 7th of January 2025; that is 0.16 percent up since the beginning of the trading day. The etf's lowest day price was 24.7.
With this module, you can estimate the performance of a buy and hold strategy of MFS Active Exchange and determine expected loss or profit from investing in MFS Active over a given investment horizon. Check out MFS Active Correlation, MFS Active Volatility and MFS Active Alpha and Beta module to complement your research on MFS Active.
Symbol

The market value of MFS Active Exchange is measured differently than its book value, which is the value of MFS that is recorded on the company's balance sheet. Investors also form their own opinion of MFS Active's value that differs from its market value or its book value, called intrinsic value, which is MFS Active's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because MFS Active's market value can be influenced by many factors that don't directly affect MFS Active's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between MFS Active's value and its price as these two are different measures arrived at by different means. Investors typically determine if MFS Active is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MFS Active'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 Active '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 Active's etf 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 Active.
0.00
12/08/2024
No Change 0.00  0.0 
In 31 days
01/07/2025
0.00
If you would invest  0.00  in MFS Active on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding MFS Active Exchange or generate 0.0% return on investment in MFS Active over 30 days. MFS Active is related to or competes with Vanguard Total, SPDR SP, IShares Core, Vanguard Total, Vanguard Value, Vanguard Growth, and Vanguard Mid. MFS Active is entity of United States. It is traded as Etf on NYSE exchange. More

MFS Active 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 Active's etf 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 Active Exchange upside and downside potential and time the market with a certain degree of confidence.

MFS Active Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for MFS Active's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MFS Active's standard deviation. In reality, there are many statistical measures that can use MFS Active historical prices to predict the future MFS Active's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MFS Active'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.
Hype
Prediction
LowEstimatedHigh
1.3326.542,499
Details
Intrinsic
Valuation
LowRealHigh
1.0821.522,494
Details

MFS Active Exchange Backtested Returns

MFS Active is out of control given 3 months investment horizon. MFS Active Exchange has Sharpe Ratio of 0.21, which conveys that the entity had a 0.21% return per unit of standard deviation over the last 3 months. We are able to interpolate and collect twenty-two different technical indicators, which can help you to evaluate if expected returns of 45.4% are justified by taking the suggested risk. Use MFS Active Exchange Mean Deviation of 0.1291, risk adjusted performance of (0.38), and Market Risk Adjusted Performance of (9.72) to evaluate company specific risk that cannot be diversified away. The etf secures a Beta (Market Risk) of 0.0081, which conveys not very significant fluctuations relative to the market. As returns on the market increase, MFS Active's returns are expected to increase less than the market. However, during the bear market, the loss of holding MFS Active is expected to be smaller as well.

Auto-correlation

    
  -0.95  

Near perfect reversele predictability

MFS Active Exchange has near perfect reversele predictability. Overlapping area represents the amount of predictability between MFS Active time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 2025. 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 Active Exchange price movement. The serial correlation of -0.95 indicates that approximately 95.0% of current MFS Active price fluctuation can be explain by its past prices.
Correlation Coefficient-0.95
Spearman Rank Test-1.0
Residual Average0.0
Price Variance0.0

MFS Active Exchange lagged returns against current returns

Autocorrelation, which is MFS Active etf'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 Active's etf expected returns. We can calculate the autocorrelation of MFS Active returns to help us make a trade decision. For example, suppose you find that MFS Active has exhibited high autocorrelation historically, and you observe that the etf 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 Active 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 Active etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MFS Active etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MFS Active etf over time.
   Current vs Lagged Prices   
       Timeline  

MFS Active Lagged Returns

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

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Other Information on Investing in MFS Etf

MFS Active financial ratios help investors to determine whether MFS Etf 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 Active security.