Mfs Research Fund Market Value
MFRFX Fund | USD 64.66 0.21 0.33% |
Symbol | Mfs |
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.
10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in Mfs Research on October 25, 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 30 days. Mfs Research is related to or competes with Mfs Growth, Massachusetts Investors, Mfs Total, Massachusetts Investors, and Jpmorgan. 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.
Downside Deviation | 0.7896 | |||
Information Ratio | (0.04) | |||
Maximum Drawdown | 3.71 | |||
Value At Risk | (1.49) | |||
Potential Upside | 1.09 |
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.Risk Adjusted Performance | 0.1101 | |||
Jensen Alpha | (0) | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | 0.119 |
Mfs Research Backtested Returns
At this stage we consider Mfs Mutual Fund to be very steady. Mfs Research has Sharpe Ratio of 0.13, which conveys that the entity had a 0.13% 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 Risk Adjusted Performance of 0.1101, mean deviation of 0.5143, and Downside Deviation of 0.7896 to check out if the risk estimate we provide is consistent with the expected return of 0.094%. The fund secures a Beta (Market Risk) of 0.8, 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 | 0.42 |
Average predictability
Mfs Research Fund has average predictability. Overlapping area represents the amount of predictability between Mfs Research time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th of November 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 0.42 indicates that just about 42.0% of current Mfs Research price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.42 | |
Spearman Rank Test | -0.82 | |
Residual Average | 0.0 | |
Price Variance | 0.22 |
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.
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