Mfs Research Fund Market Value

MRFIX Fund  USD 67.88  0.29  0.43%   
Mfs Research's market value is the price at which a share of Mfs Research trades on a public exchange. It measures the collective expectations of Mfs Research Fund investors about its performance. Mfs Research is trading at 67.88 as of the 1st of December 2024; that is 0.43 percent increase since the beginning of the trading day. The fund's open price was 67.59.
With this module, you can estimate the performance of a buy and hold strategy of Mfs Research Fund and determine expected loss or profit from investing in Mfs Research over a given investment horizon. Check out Mfs Research Correlation, Mfs Research Volatility and Mfs Research Alpha and Beta module to complement your research on Mfs Research.
Symbol

Please note, there is a significant difference between Mfs Research's value and its price as these two are different measures arrived at by different means. Investors typically determine if Mfs Research is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Mfs Research'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 Research '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 Research'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 Research.
0.00
09/02/2024
No Change 0.00  0.0 
In 3 months and 1 day
12/01/2024
0.00
If you would invest  0.00  in Mfs Research on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Research Fund or generate 0.0% return on investment in Mfs Research over 90 days. Mfs Research is related to or competes with Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, Mfs Prudent, and Mfs Lifetime. The fund normally invests its assets primarily in equity securities More

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

Mfs Research Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Research's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Research's standard deviation. In reality, there are many statistical measures that can use Mfs Research historical prices to predict the future Mfs Research's volatility.
Hype
Prediction
LowEstimatedHigh
67.1867.8568.52
Details
Intrinsic
Valuation
LowRealHigh
66.3667.0374.67
Details
Naive
Forecast
LowNextHigh
67.3668.0368.70
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
65.9767.1768.38
Details

Mfs Research Backtested Returns

At this stage we consider Mfs Mutual Fund to be very steady. Mfs Research has Sharpe Ratio of 0.21, which conveys that the entity had a 0.21% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Mfs Research, which you can use to evaluate the volatility of the fund. Please verify Mfs Research's Downside Deviation of 0.7985, risk adjusted performance of 0.1265, and Mean Deviation of 0.5064 to check out if the risk estimate we provide is consistent with the expected return of 0.14%. The fund secures a Beta (Market Risk) of 0.79, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Mfs Research's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mfs Research is expected to be smaller as well.

Auto-correlation

    
  0.72  

Good predictability

Mfs Research Fund has good predictability. Overlapping area represents the amount of predictability between Mfs Research time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 2024 to 1st of December 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 Research price movement. The serial correlation of 0.72 indicates that around 72.0% of current Mfs Research price fluctuation can be explain by its past prices.
Correlation Coefficient0.72
Spearman Rank Test0.64
Residual Average0.0
Price Variance1.16

Mfs Research lagged returns against current returns

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

Mfs Research Lagged Returns

When evaluating Mfs Research's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Research mutual fund have on its future price. Mfs Research 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 Research autocorrelation shows the relationship between Mfs Research mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Research Fund.
   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 Research 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 Research security.
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Money Managers
Screen money managers from public funds and ETFs managed around the world