Mfs Series Trust Fund Market Value
| MKVHX Fund | USD 13.18 0.01 0.08% |
| Symbol | Mfs |
Mfs Series '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 Series' 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 Series.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Mfs Series on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Mfs Series Trust or generate 0.0% return on investment in Mfs Series over 30 days. Mfs Series 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 at least 80 percent of its net assets in issuers with large market capitalizations More
Mfs Series 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 Series' 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 Series Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7221 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.66 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 0.9738 |
Mfs Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Series' standard deviation. In reality, there are many statistical measures that can use Mfs Series historical prices to predict the future Mfs Series' volatility.| Risk Adjusted Performance | 0.0416 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0394 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Mfs Series' 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 Series Trust Backtested Returns
We consider Mfs Series very steady. Mfs Series Trust has Sharpe Ratio of 0.0677, which conveys that the entity had a 0.0677% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Mfs Series, which you can use to evaluate the volatility of the fund. Please verify Mfs Series' Downside Deviation of 0.7221, mean deviation of 0.4455, and Risk Adjusted Performance of 0.0416 to check out if the risk estimate we provide is consistent with the expected return of 0.0395%. The fund secures a Beta (Market Risk) of 0.77, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Mfs Series' returns are expected to increase less than the market. However, during the bear market, the loss of holding Mfs Series is expected to be smaller as well.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Mfs Series Trust has insignificant reverse predictability. Overlapping area represents the amount of predictability between Mfs Series time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Series Trust price movement. The serial correlation of -0.18 indicates that over 18.0% of current Mfs Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Mfs Series Trust lagged returns against current returns
Autocorrelation, which is Mfs Series 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 Series' mutual fund expected returns. We can calculate the autocorrelation of Mfs Series returns to help us make a trade decision. For example, suppose you find that Mfs Series 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 Series 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 Series mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mfs Series 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 Series mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Mfs Series Lagged Returns
When evaluating Mfs Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mfs Series mutual fund have on its future price. Mfs Series 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 Series autocorrelation shows the relationship between Mfs Series mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Mfs Series Trust.
Regressed Prices |
| Timeline |
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Mfs Series 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.